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Nexosis @ Work & Play

Nexosis acquired by DataRobot

July 10, 2018

It is with great enthusiasm that today we announce the acquisition of Nexosis by DataRobot.

April Release Roundup

May 7, 2018

After the dashboard launch we completed a lot of updates in April to make your user experience better.

Nexosis Dashboard Released as Open-Source

April 30, 2018

The Nexosis Dashboard is now open-source. Ready, set, play!

Tour of the Nexosis Dashboard

April 27, 2018

Read about our experience open-sourcing the Nexosis Dashboard.

Classification vs. Anomaly Detection

April 19, 2018

Isn't anomaly detection just classification? Well, not exactly. It depends.

Nexosis and Major League Hacking Pilot Workshop: (Time) Machine Learning

April 18, 2018

We took a trip back in time with our friends at Major League Hacking.

Reaction: Don't believe the hype - 74% of developers aren't using AI tools

April 17, 2018

A DigitalOcean report found that 74% of developers aren't using AI tools. Will the market shift?

Dashboard updates

April 16, 2018

Various metadata editor enhancements; histogram views vary based on the data type; dataset metrics change inline when data type is changed; fixed box plots on anomaly detection; time-series visualizations now respect time-zones and scale correctly; various bug squashing;

Building the Bigfoot Classinator: The Website

April 14, 2018

In the final part 5, Guy explains how he built and deployed the Bigfoot Classinator site.

Maintenance Release

April 12, 2018

Fixed various issues including the API preventing vocabularies from loading when requested was filtered; paging info in feature importance properly included in responses; performance improvements calculating dataset statistics; improved forecasting and impact analysis session prioritization and more…

Maintenance Release

April 9, 2018

Bug fixes: Stop recalculating column statistics when no data has changed; Stop warning about aggregation strategy issues on non-time-series sessions since they have no implications; Add constraints on dataset during pre-processing to not allow engineered features to get too large to process

Back to the Future With Major League Hacking

April 6, 2018

This Monday we will be at the Major League Hacking office in New York City to host our first workshop: "Time Machine Learning: NLP with Nexosis and Back to the Future."

Join the Machine Learning for Humans Facebook Group

April 5, 2018

We are slowly and surely building up something special to support you on your journey of navigating machine learning: the Machine Learning for Humans Facebook Group.

Metadata editor upgrade & histograms

April 4, 2018

New metadata editor and histograms visualization; dataset metrics vary based on data-type selected and highlight missing data and data conversion error counts; import larger CSV/JSON files from AWS S3 and Azure Blob storage; box and whisker plot visualization for anomaly detection session results;

Detecting Hackers Like It's 1999

April 4, 2018

Jason wrote up an intermediate level classification tutorial using the Nexosis API that walks through a data science competition called the KDD Cup from 1999.

March Release Roundup

April 2, 2018

We were as busy as ever this month with a lot of that work going toward our new interactive dashboard.

2018 Women in Analytics Conference

March 31, 2018

Brent recaps some sessions he attended at the Women in Analytics Conference on R, IoT data, data governance, and more.

Detecting Anomalies with the Nexosis Interactive Dashboard

March 30, 2018

Danna walks through an anomaly detection example with the Nexosis Interactive Dashboard.

Introducing the Nexosis Interactive Dashboard

March 28, 2018

Machine learning is now as easy as point and click with our interactive dashboard.

New interactive dashboard

March 23, 2018

We're excited to announce our brand new interactive dashboard that makes our three step approach to machine learning even simpler. Just upload your data, build a model, and retrieve your results.

Building the Bigfoot Classinator: The Server

March 22, 2018

In part 4 of Building the Bigfoot Classinator series, Guy discusses the code, the configuration to deploy it to AWS Lambda, and the configuration to expose the AWS Lambda via Amazon's API Gateway.

Reaction: 2018 Stack Overflow Developer Survey Results

March 21, 2018

We react to Stack Overflow's survey of over 100,000 developers about how they learn, build their careers, which tools they're using, and what they want in a job.

New API Endpoints: Column Statistics and Feature Importance

March 19, 2018

Nexosis API users can now get column statistics and feature importance.

Reaction: Getting Value from ML Isn’t About Fancier Algorithms — It’s About Making It Easier to Use

March 14, 2018

We react to an article that argues the need for easier model deployment outweighs the need for better algorithms.

Version SSO, Feature Importance and distribution stats

March 13, 2018

New Features: New authentication system with expanded SSO capabilities; Return feature importance pre-scores for forecasts; Return Mahalanobis distance calculations for anomaly detection algorithms; Added implicit sorting inside some API responses; API allows CSV uploads for model predictions;

Classification Scoring Metrics

March 8, 2018

In a previous post, Danna explained confusion matrices. Now she discusses common classification scoring metrics.

Eight Days, Four Meetups

March 6, 2018

Guy has been busy talking. Not just to us, but to to all of you at the many tech meetups in the Columbus area!

February Release Roundup

March 5, 2018

We were hard at work on our API to make it better, smarter, and faster.

Building the Bigfoot Classinator: The Model

March 1, 2018

In part 3 of Building the Bigfoot Classinator series, Guy discusses how he built and tested the model.

Developer Experience Features and Bug fixes

March 1, 2018

New Features - assignable account admins, more algos for impact analysis, added last used date for models, and API support for friendly session names.

Machine Learning With Couchbase and Nexosis

February 28, 2018

In this guest post Matt Groves, a Developer Advocate for Couchbase, shows how you can combine the Nexosis Machine Learning API with Couchbase Server.

Building the Bigfoot Classinator: The Data

February 24, 2018

In part 2 of Building the Bigfoot Classinator series, Guy discusses how he transformed and uploaded the data.

What is a Confusion Matrix?

February 22, 2018

Danna explains the definition and purpose of a confusion matrix in classification.

Reaction: The UX of AI

February 20, 2018

Google recently did a write up on having a human-centered design process to elevate artificial intelligence. We summarize and react.

Building the Bigfoot Classinator: Getting Started

February 16, 2018

Guy and Bigfoot have become synonymous - at several events he's shown how to predict sightings with machine learning. In this post, he dishes some details.

Dataset Statistics and Friendly Session Names

February 16, 2018

Name your datasets, encrypt the import URL, and get dataset statistics

Data Best Practices in Machine Learning eBook

February 14, 2018

Download our Data Best Practices in Machine Learning eBook to learn how to frame your problem, data semantics, data preparation methods, and more.

ProgrammableWeb's Most Interesting APIs in 2017: Big Data and Analytics

February 13, 2018

We were featured as one of ProgrammableWeb's most interesting APIs in 2017.

5 Text Transforming Techniques for Total Techies

February 10, 2018

Sometimes you have to write code to transform text, but there are crafty techniques and tools out there that makes it easy.

Why I Can't Predict Wine Quality With Machine Learning...Yet

February 9, 2018

Leah was excited to find wine data she could use to build a model that predicts wine quality. Unfortunately the end result didn't go as expected.

Classifying Twitter Sentiment

February 8, 2018

Jeff looks at tweet data related to airlines to demonstrate how to classify sentiment with a text data type.

Quota Notifications & Hotfix

February 7, 2018

Users are now notified when approaching different quota limits (90%, 95%, and 100%); Fixed issue where XGBoost hangs intermittently on some datasets.

January Release Roundup

February 5, 2018

January was a busy month for engineering and adding capabilities to the API.

How Product Hunt Showed Us the Power of Community

February 3, 2018

The Nexosis API was recently hunted on Product Hunt. It was a pleasant surprise that showed us the power of community.

The Titanic: A Machine Learning Course for Beginners

February 2, 2018

In this beginner level machine learning course we predict whether Titanic passengers survived or not based on several variables.

Machine Learning for Fun: Groundhog Day

February 1, 2018

Guy uses machine learning to predict whether Punxsutawney Phil sees his shadow or not.

Reaction: Want AI to be less biased? Cherish your female programmers

January 31, 2018

We react to a write-up on the importance of having different perspectives in the artificial intelligence community to prevent algorithmic bias.

Data Education: The Value of Data Experimentation

January 30, 2018

James experiments with data to determine the right amount for a machine learning model.

Class Scores: Understanding the Classification of Color

January 25, 2018

Nexosis API users can now use class scores to get insights into a model's decision making. In this tutorial, we use RGB color data to show you how.

Uncovering the Unknowable in Machine Learning

January 24, 2018

Stock market and sports problems are tricky in machine learning. We break down why these types of problems are difficult to predict.

Detecting Cheaters in Counter-Strike: Global Offensive

January 23, 2018

In this tutorial, Jason walks readers through a Nexosis API classification use case that gamers everywhere will appreciate.

Text Vocabularies and Community Account Updates

January 23, 2018

Data type `text` allows for NLP feature engineering; vocabularies exposed via endpoint; warnings, alerts, and more;

CodeMash 2018 in Tweets and Photos

January 20, 2018

Guy recaps CodeMash 2018 with some of the best tweets and photos. Spoiler: people still love our brains!

Discover Anomalies in Your Data With Anomaly Detection

January 17, 2018

Nexosis API users can now discover anomalies in their data sets.

Introducing the Nexosis Community Forum

January 16, 2018

As a step toward further uniting our growing community, we have created a Community Forum that is now open to machine learners everywhere.

Formulating a Machine Learning Question

January 11, 2018

Danna explains the importance of formulating a machine learning question correctly and how the answer determines the type of problem.

Demo Data Update and Bug Fixes

January 10, 2018

Added new demo data and various bug fixes

Come See Us at CodeMash

January 9, 2018

We'e kicking off 2018 with CodeMash! Most of our team has attended before, but this year we'll be Nexosis API advocates in blue track jackets of course.

Data Education: Simple Feature Engineering Methods That Have Fancy Names

January 4, 2018

As part of our data education series, we explain some common feature engineering methods with simple examples.

Updates & Hotfixes

January 4, 2018

Get scores with classification predictions and fixed exception when account with anniversary date not found in next month

Anomaly Detection and Text Features

December 28, 2017

Anomaly Detection Algorithms and associated endpoints added to API along with support for text fields to be used as features, and more

Reaction: 2017 the State of JavaScript Survey

December 23, 2017

For the second year in a row, the State of JavaScript survey was conducted and the results are in. We asked Guy, our resident JavaScript fanboy, his thoughts.

Nexosis API Postman Collection Now Available

December 22, 2017

We have a holiday gift for you: the Nexosis API Postman Collection. It will streamline documentation viewing and allow you to try new API features.


December 21, 2017

Bugs – Quotas are wrong after failed import

Understanding DynamoDB Part 2: Optimal Document Sizes

December 20, 2017

John continues his blog series on DynamoDB to share what he's learned.

Machine Learning for Fun With TNewTech

December 18, 2017

Guy was invited to talk at the TNewTech meetup at LaunchPad Incubation in Toledo. He shares his takeaways from the event.

New Employee Spotlight: Brent Hinks

December 16, 2017

We are thrilled to share Brent Hinks has joined the team as a Solutions Engineer. Welcome, Brent!

ISO: An app to boost elderly physical activity and social engagement

December 15, 2017

We sponsored and participated in the NCSV Innovate Hackathon in San Francisco. Here is a spotlight on the project that won.

Payment Hotfix

December 15, 2017

Fixed issue on invoices where incorrect payments were shown

Data Education: What to Do With Missing Data

December 14, 2017

James, one of our data science engineers, explains how to identify missing data and some strategies on how to handle it.

Upgrade Packages, XGBoost & Bug Fixes

December 14, 2017

Get notified of payment issues; upgrade your package and see past invoices; XGBoost algorithm added to Classification and Regression; various bug fixes.

IoT Tech Expo: Learning from the IoT Crowd

December 12, 2017

Last week we were in Silicon Valley for the IoT Tech Expo. Jeff shares what he took away from his interactions with the internet of things crowd.

Machine Learning Terminology Defined

December 9, 2017

We review some machine learning terminology that is sometimes misunderstood or defined differently.

Additional Data Sources Soft Launch & Bug Fixes

December 8, 2017

Sessions are prioritized for paying customers over community accounts, Detailed Algorithm metrics are available for paying customers, various data sources added

Data Education: Ensuring Data is Ready for Machine Learning Algorithms

December 7, 2017

Danna explains several components of data preparation to ensure data is ready for machine learning.

Don't Believe The Hype: Common-Sense AI

December 4, 2017

There is a great deal of noise about AI in the media due to dire warnings, along with the popular and fantastical depictions of AI common to science fiction.

Payment Notifications & Bug Fixes

December 1, 2017

Added Payment notification capabilities and various bug fixes.

Predict and Categorize with Classification

November 29, 2017

Nexosis API users can now predict categorical variables with classification, the newly released machine learning type.

Payment Updates

November 28, 2017

Users can now include a PO Number with payment plus various bug fixes

Nexosis Introduces a Free Community Tier

November 27, 2017

The beauty of any community is that innovation from one member can inspire and spark ideas in others. A free community tier enables this process to play out.

Supervised vs. Unsupervised Learning

November 27, 2017

Learn the difference between supervised and unsupervised methods before diving deeper into machine learning.

Google Trends iPhone Analysis: Know the Story Behind Your Data

November 24, 2017

It seems like when there is a major iPhone release an annoying glitch ensues, but correlation doesn't mean causation. Jason analyzes Google search data.

Come See Us at IoT Tech Expo

November 22, 2017

After the Thanksgiving celebrations we're venturing to the west coast again for IoT Tech Expo in Santa Clara.

Analysis - Machine Learning: The High Interest Credit Card of Technical Debt

November 21, 2017

Zach analyzes the well-known Google paper on machine learning systems after attending a "Papers We Love" meetup here in Columbus.

10 Best Tech Startups in Columbus

November 21, 2017

We are included in The Tech Tribune's list of the best technology startups in Columbus, Ohio.


November 21, 2017

Various hotfixes including Fixed invalid predictions for Prediction request to API when using Classification; Fix Email Verification Page Explodes


November 17, 2017

New machine learning type added to API

Reaction: Kaggle - The State of Data Science and ML in 2017

November 16, 2017

For the first time Kaggle conducted a survey to get a handle on what the state of data science and machine learning is in 2017. We react to the findings.

Nexosis and Social Impact

November 15, 2017

Machine learning has the potential to change the world for the better and that is why we are making social impact part of our business strategy going forward.

New Employee Spotlight: Tim Falls

November 15, 2017

We are thrilled to share that Tim Falls is now our VP of Community and Social Impact.

Data Education: Framing Your Machine Learning Problem

November 13, 2017

In the first post of our data education series James shares how to set yourself up for success when framing a machine learning problem.


November 9, 2017

November 9, 2017 - Hotfixes

Bug Fix Roundup

November 8, 2017

Various Bug fixes: Webhook failures; Seasonality not picked up; Data not available; Model training containers not killed; Bad date message

New Employee Spotlight: Trisha Meier

November 6, 2017

Trisha Meier has recently joined the team as our Chief of Staff. We all wear a lot of hats, but she probably wears the most!

The Joy of Machine Learning

November 3, 2017

Guy shares a fun project he worked on to demonstrate the importance of play in machine learning so you understand the story behind your data.

Our Commitment to Employee Mental Wellness, Diversity, and Inclusion

November 2, 2017

Our CEO shares why and how he is committed to fostering a culture of mental wellness, diversity, and inclusion.

PAPIs.io 2017 Recap and Takeaways

November 1, 2017

Last week we were in Boston for PAPIs.io 2017. It was loaded with training, talks, networking, and more. Guy recaps and shares his takeaways.

Reposeful: A predictive SMS app for self-care

November 1, 2017

Nexosis hosted a hackathon during Twin Cities Startup Week. Here is a spotlight on the project that won.

Date Features for Regression

October 26, 2017

Date Features for Regression

New Employee Spotlight: James Clemens

October 26, 2017

We're excited to welcome James Clemens to the team. He joins us from Miami University where he taught and did research in the Department of Physics.

Where to Find Data When Getting Started with ML

October 25, 2017

Guy shares some places where developers can access free data sets to get started with machine learning.

Citibot: Employing Forecasting to Enhance the FinTech Customer Experience

October 25, 2017

The winner of Nexosis' challenge at the 2017 API World Hackathon shares how they used the Nexosis API.

Maintenance on TimeSeries and Regression

October 24, 2017

Maintenance on TimeSeries and Regression

Regression Tutorial: Predicting an Automobile's Fuel Economy (MPG)

October 22, 2017

Jeff G wrote a regression tutorial using a popular Auto MPG data set to predict an automobile's fuel economy. It's a great distribution and logistics use case.

Automating Docker with Python

October 21, 2017

Craig covers how to automate Docker using Python.

Announcing New Regression Capabilities

October 17, 2017

We are excited to announce that we have expanded the Nexosis Machine Learning API regression capabilities beyond time series.

Version maintenance and bug fix

October 17, 2017

Maintenance updates and bug fixes for regression capability

Community Code of Conduct: Hello World

October 12, 2017

Announcing the Nexosis Community Code of Conduct that sets expectations for behavior within our community to ensure it is safe and inclusive.

Hack with Us at Twin Cities Startup Week

October 10, 2017

We are a proud sponsor of Twin Cities Startup Week and are hosting a social good hackathon this Friday, October 13th.

IoT and ML Are Like Peas and Carrots

October 10, 2017

We need to start thinking of internet of things and machine learning as a dynamic duo that together will change the world.

Bug fixes

October 9, 2017

Various bug fixes

Calendar Data Sources

October 7, 2017

Our API users can now include calendars as a dataset to improve their forecasts.

Automating Time Series Model Selection

October 6, 2017

Ryan gives a rundown of his MLconf talk on using decision theory to automate time series model selection.


October 6, 2017

Added regression to platform

API World 2017 Recap

October 5, 2017

API World kept us busy for almost a week and it was the biggest event we've attended yet. We came back to Ohio with memories, stories, and a ton of learnings.

The Steep Learning Curve of Machine Learning

October 3, 2017

Machine learning is hard. So where do you start if you want to master or at least understand?

CMX Summit Takeaways

October 2, 2017

Although we are in the early stages of building the Nexosis API community, attending CMX Summit showed us the value of investing in community.

Time Series Smoothing, bug fixes

October 2, 2017

Added time series smoothing, various bug fixes

The Business of APIs eBook

September 30, 2017

Download our Business APIs eBook to learn how APIs save time and money, while fostering innovation.

Forecasting Web Traffic

September 28, 2017

Jason wrote an API tutorial to show how to use Google Analytics Web Session data to forecast future web sessions and see the impact of certain activities.

API Status Page

September 27, 2017

It's important that we are transparent with our API users. That's why we launched a new status page to provide API incident communications.

Machine Learning is Not a Magic Bullet

September 26, 2017

We're a machine learning company and we want you to know that machine learning is not a magic bullet. Read more to see what we mean.

Machine Learning...Swiftly

September 25, 2017

Guy is building our Swift API client. For the skeptics, and also believers, he discusses three scenarios in which a Swift API client would be useful.

MLconf Atlanta Takeaways

September 23, 2017

We're back from MLconf in Atlanta. It was an amazing experience connecting with diverse people with different backgrounds in machine learning.

Come See Us at API World 2017

September 22, 2017

We are basically taking over API World 2017 by sponsoring and judging the Hackathon, speaking, and having a booth. Come see us innovative API people!

Bug fixes

September 22, 2017

Ensemble results properly returned

Distinguishing Time Series From Other Regression Problems

September 21, 2017

Danna distinguishes time series from other regression problems, and why a time feature in your data doesn't necessarily mean you have a time series problem.

New User Tutorials and Ensembling, bug fixes

September 15, 2017

Added tutorials, ensembling, bug fixes

Understanding Nested Views In Elm

September 14, 2017

Zach shares how an error message taught him how nested view functions from different modules work together in Elm.

Come See Us at MLconf Atlanta

September 12, 2017

Come see us at MLconf Atlanta this Friday! We'll be at a booth and one of our machine learning engineers is speaking about decision theory.

Daily API RoundUp: Apple Music, Microsoft Intune, Lokalise, Nexosis, Unblu

September 11, 2017

Nineteen APIs have been added to the ProgrammableWeb directory in categories including Engagement, Translation, and Machine Learning.

JavaScript Promises and the Nexosis API

September 11, 2017

Guy, our Developer Evangelist, explores how to use JavaScript promises and how to use them with the JavaScript client for our API.

Exploring the Nexosis API with IPython

September 7, 2017

Jeff E made some video tutorials to show how he's been using IPython to test our Python client library implementation. Check them out.

Calendars Import Capabilities

September 1, 2017

Import calendars

Data Analysis Will Be As Common As the Internet

August 31, 2017

Joe is on a mission to make concepts like probability, mean, and variance be as commonly understood as noun, verb, and adjective. Here's why.

New Employee Spotlight: Amie Davis

August 30, 2017

Meet Amie Davis, our new Event Marketing Manager, who will coordinate and plan all events that we attend, sponsor, or host.

Various Bug Fixes

August 30, 2017

Various bug fixes

Infographic: In-House Development vs. API Timeline

August 29, 2017

Discover how APIs make building machine learning applications easier and faster. Download the In-House Development vs. API Timeline Infographic.

Introducing API Views Feature

August 28, 2017

Nexosis API users can now use views to create a session based on a dataset of observations mixed with a different dataset that contains features.

Views (Joined DataSets), Account Management features, PowerShell Client Release, bug fixes

August 25, 2017

Views (Joined DataSets), account management, documentation updates, bug fixes

The Importance of Zeroes in Machine Learning

August 24, 2017

Simply put, don't ignore the zeroes in your data.

New Employee Spotlight: Guy Royse

August 22, 2017

Meet our first Developer Evangelist, Guy Royse, who brings over 20 years of programming, technology, and consulting experience to the Nexosis team.

Understanding DynamoDB Part 1: Costs and Document Sizing

August 17, 2017

Our engineers have learned so much since adopting Amazon DynamoDB as a data store that they turned it into a blog post series. John kicks it off.

What We Learned at That Conference

August 16, 2017

Find out everything we learned at That Conference.

Interactive Password Validation on User Sign-up, bug fixes

August 15, 2017

Password validation, bug fixes

Reaction: OpenAI Beats Pro Players on Dota 2

August 14, 2017

Read our reaction to OpenAI's defeat of the world's best players of Dota 2.

How GE, Target, And Levi’s Keep Their Cool

August 14, 2017

Jim Stengel studied some 200 “odd couple” partnerships between established companies and tech-focused upstarts, including Nexosis.

Forecasting Fitbit Activity

August 10, 2017

Craig wrote a tutorial using our API .NET client library and Fitbit's API to analyze his physical activity patterns. Check it out.

New Employee Spotlight: Jacob Tidwell

August 9, 2017

Meet Jacob Tidwell, our new DevOps Engineer. He will be responsible for building and maintaining the infrastructure that powers our machine learning API.

Data Imputation Aggregation and Transformation Strategies, bug fixes

August 8, 2017

Data imputation strategies, various bug fixes

How Much Data is Needed to Train a (Good) Model?

August 4, 2017

While there's no "one-size-fits-all" approach, there are general best practices to follow and questions to ask about your data before building a model.

Marketing Impact On Facebook Page Likes

August 3, 2017

Jason wrote an API tutorial to forecast what would have happened to our Facebook page likes had we not changed our marketing vs. what actually did happen.

How We Are Fostering a Developer Community

August 2, 2017

Over the last couple of months we have been forming a team of experts dedicated to our developer community initiative.

User Registration Confirmation, bug fixes

August 2, 2017

Registration confirmation, various bug fizes

Come See Us at That Conference

August 1, 2017

We are a proud platinum sponsor of That Conference this year. We are also excited to have two of our employees, one being our CTO/Co-Founder, speaking there.

Upcoming Feature: Forecast Time Series at Different Granularity

July 28, 2017

Today, Nexosis API users can forecast at the hourly, daily, weekly, monthly, or yearly levels. They will now be able to specify a broader range of data types.

Reaction: Automated ML — A Paradigm Shift That Accelerates Data Scientist Productivity

July 27, 2017

There are about 4M developers and 40,000 statisticians in the US. That's a 100:1 ratio. Automated machine learning tools should improve developer productivity.

Invite System, bug fixes

July 27, 2017

New invite system, various bug fixes

TensorFlow: A Useful But Not-So-Developer-Friendly ML Tool

July 25, 2017

Some of the team went to a meetup about TensorFlow. While they agree it's a powerful tool, it still requires extensive machine learning knowledge.

Uncovering Air Quality Impact in Beijing

July 20, 2017

Jeff built a sample application from our API .NET client library to uncover how shutting down factories impacted air quality in Beijing during the Olympics.

Python API Client Release, Bug Fixes

July 20, 2017

Documentation updates, various bug fixes

New Employee Spotlight: Danna Naser

July 19, 2017

Meet Danna Naser, our newest Data Scientist who comes to us from Texas Tech University.

Introducing the Nexosis Machine Learning API

July 18, 2017

We're excited to announce that the Nexosis Machine Learning API has officially launched! It's the only machine learning API built for developers, by developers.

JavaScript API Client Release, Bug Fixes

July 13, 2017

Documentation updates, various bug fixes

Why We Support Net Neutrality

July 12, 2017

Net neutrality is essential to our ability to exist and compete. That is why we are speaking out to keep the FCC from preventing an open internet.

Reaction: Is IBM Watson a 'Joke'?

July 10, 2017

We react to a Forbes article discussing IBM Watson's shortcomings. While we don't think it's a joke, we were surprised.

Initial Public API Release, Initial Client Library Releases

July 10, 2017

Public API Release with Regression (Time-Series) and more

Tournament Impact of Dungeon Crawl Stone Soup

July 6, 2017

Zach uses our API to conduct an impact analysis on the number of Games, Players and Wins during Dungeon Crawl Stone Soup tournaments.

QCon New York 2017 Takeaways

July 4, 2017

Stephen, our VP of Sales, attended QCon New York last week and gained a ton of great insights about microservices and APIs. Read his recap.

Ninjaneering at Pillar PluggedIn

June 29, 2017

'Ninjaneering' really is as cool as it sounds. Our CTO shares what he learned about self-awareness and collaboration at Pillar PluggedIn.

Machine Learning: APIs and the Fast Path to Success

June 28, 2017

Prototyping is a source of innovation that is meant to be a fast, iterative process. APIs get machine learning application prototypes to production faster.

What Startups Can Learn From EA’s E3 Press Conference

June 27, 2017

Negative feedback is the best feedback. Our CEO explains why user feedback is crucial to the success of our API early access launch.

Reaction: Spaces vs. Tabs Debate

June 22, 2017

Do software developers who use spaces really make more money than those who use tabs? Ryan does a deeper analysis.

Time Series Analysis In Business

June 21, 2017

Machine learning is redefining the phrase "Time is Money." We discuss time series analysis in business.

The State of the Data Science Field

June 16, 2017

We present some facts about the state of Data Science that can prevent companies from leveraging machine learning as a competitive advantage.

Save Time and Improve ROI with APIs

June 14, 2017

APIs are all around awesome. They save companies time, money and resources while encouraging innovation.

2017 VentureOhio Report Released

June 9, 2017

VentureOhio released its annual VentureReport that takes a detailed look at Ohio investment activity and the people and companies putting Ohio on the map.

Machine Learning Meets Legos

June 7, 2017

Man buys too many Legos and sorts with machine learning.

How Developers and APIs Help Teams Succeed with Machine Learning

June 6, 2017

Organizations should leverage developer skills combined with APIs to effectively unlock the power of machine learning across all departments.

Why I Became a Data Scientist

June 1, 2017

The Data Scientist profession has been called "The Job of the Future," but why and how do people become Data Scientists? Ryan tells his story.

Comparing Technologies with Stack Overflow Trends

May 31, 2017

As if we didn't already love Stack Overflow, it just released a trends tool showing changes over time in the number of questions asked about technologies.

Our Favorite Technology Podcasts

May 30, 2017

Whether you are a veteran developer or new to coding, we have found there is a technology podcast for everyone.

A Little Data Cleaning Goes a Long Way

May 26, 2017

Time to do some spring (data) cleaning. Natalie and Leah explain the rules of tidy data.

Using Azure KeyVault to Manage Keys

May 25, 2017

Jason has seen it all when it comes to application security. He shares how to use Azure KeyVault to manage keys.

Encouraging Positive Conversations About Technology

May 23, 2017

We were on a panel of experts formed to discuss the economic challenges and opportunities of emerging technologies like machine learning.

Reaction: McKinsey on AI, Jobs and Workforce Automation

May 17, 2017

They say change is the only constant in life, but experts say companies aren't making the right organizational changes to achieve ROI from machine learning.

New Employee Spotlight: Stephen Steen

May 16, 2017

Meet our new VP of Sales, Stephen Steen, who specializes in energy, supply chain and internet of things industries.

Dynamic Nginx Proxy Registration

May 11, 2017

How do you deal with not knowing servers ahead of time when configuring nginx? One way is dynamic proxy registration.

Columbus Smart City Hackathon

May 10, 2017

Read about our data scientist's Smart City app idea called Get Me There that uses data to reserve parking spaces, prepay for parking and more.

Stir Trek 2017 Recap

May 8, 2017

We're back in the office after a crazy Friday at Stir Trek. Who knew meeting and talking to developers all day about our API could be so much fun?

Come See Us at Stir Trek

May 3, 2017

It's our first time at Stir Trek so stop by Booth 15 for a chance to win cool prizes like a COZMO robot. You can't miss the hot pink brains!

NES Game Development with Pillar

May 2, 2017

Evan talks about his latest TechLife Columbus meetup on game development, hardware, graphics and audio.

Forecasting With Bayesian Structural Time Series and Prophet

May 1, 2017

Joe explains some of the math behind machine learning and what our API automates.

Automatic Deployment of Let's Encrypt SSL/TLS Certificates on Azure App Gateway

April 28, 2017

Our Chief Technology Officer discusses the automatic deployment of Let's Encrypt SSL/TLS Certificates on Azure App Gateway.

Machine Learning for the Non-Technical

April 25, 2017

Our Head of Customer Success, Leah Sevey, breaks down machine learning for the non-technical readers out there.

The Frontier Conference 2017 Recap

April 24, 2017

The Frontier Conference was a phenomenal gathering of industrial innovations that are transforming the world and we were happy to be part of it.

Azure ARM Deployment of Docker

April 20, 2017

Our Head of Engineering discusses reasons for using Docker on individual virtual machines and how to do it with Azure ARM templates.

Why We Love Standing Desks

April 18, 2017

Stand up if you love standing desks like us. Our team shares why it can't live without them.

Machine Learning and Superforecasting

April 17, 2017

Machine learning should be in every forecaster's toolkit because we don't all have the time and patience needed to become superforecasters.

What I Learned From Girl Develop It: Just Do It

April 14, 2017

Learning a new technology or programming language takes grit and a self-starter attitude.

Developing Software at a Startup

April 13, 2017

Our Head of Engineering, Jeff Gabriel, weighs in on the importance of having the right team, the Kanban methodology and user stories.

Forecasting With Exponential Smoothing, ARIMA and Regression

April 11, 2017

Ryan, one of our data scientists, explains triple exponential smoothing, ARIMA and multiple linear regression.

GiveBackHack Columbus Recap

April 6, 2017

When developers, designers and other community members brainstorm for a weekend, cool things happen.

Mastering the Give and Take of Community

April 4, 2017

Developers pretty much wrote the book on community engagement. First rule: it's a two way street.

Leverage ML to Understand Marketing Impact

April 1, 2017

Our prediction is that machine learning will be integral to promotion planning. See why.

Use Automation to Make the Most of Your Day

March 28, 2017

Life is short. Make your days more productive by automating mundane tasks.

What Kids Can Do to Get Ahead in Technology

March 24, 2017

We developed a list of cool (at least we think so) activities and tools that help kids get ahead in technology.

What's Hidden in Your POS Data?

March 21, 2017

A scantily staffed store floor during an unexpected lunch rush never goes well. Insights in your POS data can help you schedule more efficiently.

Reaction: Even with AI, People Are Still the Driving Force of Innovation

March 16, 2017

Artificial intelligence can't thrive without humans. Consumers are now smarter about technology and social impact, which is changing the way we innovate.

Reaction: Artificial Intelligence Completed 360,000 Hours of Finance Work in Just Seconds

March 14, 2017

If you're like us, you look at the clock on Mondays and wonder where the time went. Get that time back with artificial intelligence.

Reaction: 59 Impressive Things AI Can Do Today

March 9, 2017

Too many cucumbers? No problem. Artificial intelligence can sort them for you and do a bunch of other things you'd never suspect.

Synopsis: Understanding the Differences Between AI, Machine Learning and Deep Learning

March 3, 2017

Impress your co-workers by learning the differences between artificial intelligence, machine learning and deep learning.

Nexosis is building automation into their move to Microsoft Azure

March 2, 2017

Startup company Nexosis is looking to optimize the time a new feature takes going from ideation and into their customers’ hands.

New Employee Spotlight: Joe Volzer

February 28, 2017

We're growing and proud to introduce you to Joe Volzer, our newest Data Scientist.

2017 Nexosis Hackathon

February 24, 2017

What moves the needle for your business? We hack.

Why Aren't There More Women in Technology?

February 16, 2017

When women work, they invest on average 90% of their income back into their families. Imagine the possibilities if more women were coding today.

SaaStr Annual 2017 Recap

February 14, 2017

Some of the Nexosis team and 10,000 other software professionals made the trip out to San Francisco to attend SaaStr Annual 2017. Read what we learned.

A Sit Down with Marketing

February 7, 2017

Without marketing no one would know what Nexosis does. I spoke to the brain behind the operation, Eric Dunne, about what he does all day and why he loves it.

The Importance of Your Inventory-to-Sales Ratio

February 3, 2017

The inventory-to-sales ratio is a key performance indicator of whether or not inventory is overstocked. How do you stack up against these retail averages?

Analytics Buzzwords Debunked

January 31, 2017

Artificial intelligence and business intelligence are the same thing, right? Nope. We want to set the record straight.

A Sit Down with Engineering

January 26, 2017

We sat down with our engineers and found out more about their day-to-day and what makes them love what they do.

Key Takeaways from the 2017 National Retail Federation Convention & Expo

January 24, 2017

The 2017 National Retail Federation Convention was so big that it took us nearly a week to summarize our notes. Here are our key takeaways.

Talk Like a Data Scientist eBook

January 19, 2017

Download Nexosis' free eBook, Talk Like a Data Scientist. Learn basic machine learning concepts and realize the potential it has to drive profitability.

What are Autoregressive Models?

January 12, 2017

Autoregressive models are a fundamental class of time series models.

Target + Techstars Open Applications for Second Wave of Startups after Year-One Success

January 9, 2017

On the heels of the successful first Target + Techstars retail accelerator, we opened applications for a second round of the program yesterday.

What is Trend?

January 5, 2017

Discovering trends in data is crucial for making accurate forecasts.

What is Seasonality?

December 29, 2016

Seasonality affects our purchase patterns. Learn how we detect it and why it matters.

The Bias & Variance Trade-off

December 22, 2016

Our data scientist breaks down what makes a good model and how to avoid two sources of error.

Tech startup sees lots of opportunities ahead

December 21, 2016

One of Westerville's most rapidly growing companies is preparing for even more expansion, thanks to a multimillion-dollar bump in funding.

What is MAPE?

December 15, 2016

What's MAPE? Find out with our data scientist as he explains what it is and why it's important.

Nexosis Closes $5 Million Seed Funding Round

December 13, 2016

Nexosis has closed its latest round of funding. Revel Partners led the round and was joined by Techstars Ventures and iNovia Capital.

What Is Time Series Data?

December 8, 2016

What is time series data and why is it so important to choose the right model?

No Ohio VC firms invested in Nexosis' $5M round – here's why founder says that's good for Ohio

December 5, 2016

All five venture funds that invested in the $5 million round that Nexosis Inc. closed last week are from outside Ohio and that's good for Ohio.

Retail forecasting startup Nexosis raises another $5M

December 2, 2016

Nexosis Inc., a data analytics startup that helps retailers and restaurants forecast how much inventory to stock has closed a $5 million seed round.

The Accidental Startup

November 29, 2016

Nexosis' founders give a little history lesson about how we started.

What Are Residuals?

November 22, 2016

What's residual and what's an error? Find out with a data scientist as he explains the difference and why it matters.

A Sit Down with Customer Success

November 17, 2016

We sat down with Leah Sevey to hear first hand how she creates success for our company and customers.

Top 50 Retail Tech Startups Worldwide

November 16, 2016

Insider Trends pulled together a list of the top 50 retail tech startups in the world right now.

What is a Linear Model?

November 10, 2016

Our data scientist dons his nerd hat and explains linear models and when and why to use them.

What is Regression?

November 2, 2016

Our data scientist explains regression and what it's good for.

Sitting Down with Data (Scientists)

October 25, 2016

We sat down with our data scientists and found out more about their day-to-day and what makes them love what they do.

Training Set vs. Test Set

October 21, 2016

Our data scientist discusses the differences between training and test sets and why it matters.

Cincinnati hosts 2016 FounderCon, Highlights Ohio’s Growing Startup Scene

October 20, 2016

More than 600 entrepreneurs from across the country converged in Cincinnati for the sixth annual FounderCon, put on by Techstars business accelerator.

Machine Learning for All

October 17, 2016

Our first, proud steps to democratizing machine learning…

Columbus entrepreneurs must be 'absolute driving force' of ecosystem, startup founder says

October 13, 2016

Nexosis co-founder is joining the chorus calling for more leadership from Central Ohio entrepreneurs to support and grow the startup community.

Why Machine Learning Matters

October 11, 2016

Learn how machine learning works and why it matters.

How startup accelerators made the difference for four Columbus companies

October 7, 2016

Four Central Ohio entrepreneurs who graduated this fall from out-of-state accelerators poised for success.

Techstars: Summary

October 3, 2016

A quick summary of what Nexosis learned at Techstars this summer.

What is Causal Inference?

October 3, 2016

Our data scientist defines and explains what causal inference is and why it matters not only to machine learning but to your business.

Uncovering the Effect of a Promotion

October 3, 2016

A group of franchisees were taking part in a national promotional campaign but were unable to determine if the promotion was working and by how much.

Five Takeaways From The First Target + Techstars' Demo Day

September 27, 2016

Target + Techstars startups focused on some of the most important areas of business today: big data, experiential retail, the Internet of Things, bots, SaaS, machine learning, artificial intelligence and healthy foods.

Video: Our Demo Day Pitch

September 26, 2016

Watch the video of our demo day pitch.

Review: Target Techstars Demo Day

September 23, 2016

The Fung Global Retail & Technology team attended the first Target + Techstars Demo Day. Each company founder presented to entrepreneurs, investors, and media.

Startups Make the Pitch of a Lifetime: Your Peek Inside Target + Techstars’ Demo Day

September 21, 2016

Eleven startups—dreamers, doers, and makers—took the stage in front of nearly 1,000 people for Demo Day for the Target + Techstars Retail Accelerator.

Target's first tech incubator with Techstars already hatching tangible results

September 21, 2016

Target Corp.’s first experiment in sponsoring a tech incubator has already produced tangible results.

Westerville Machine Learning Start-up Completes Retail Accelerator

September 20, 2016

Nexosis concludes three-month accelerator; announces private beta launch and direct integration with eCommerce platform Shopify.

Techstars: Demo Day Awaits

September 19, 2016

Techstars Demo Day is upon us. We look forward to the future and a big announcement with thankfulness for how we got here.

Techstars: Week 12

September 12, 2016

Techstars Week 12 meant not enough time, BBQ, and Mall of America.

Techstars: Week 11

September 7, 2016

Week 11 at Techstars brought pitch practice, the Canadians, and dark circles under our eyes.

Techstars: Week 10

August 30, 2016

Week 10 of Techstars brought panic, Seth Levine and Brad Feld, Target mingling and a boat!

Techstars: Week 9

August 22, 2016

Nexosis gets friendly with PowerPoint, the other Techstars teams and endless spreadsheets.

Give First, Get Surprised

August 19, 2016

Nexosis' CEO, Ryan Sevey, talks about the surprising part of the Give First mantra.

Techstars: Week 8

August 15, 2016

Nexosis learns to schedule pilots, proof of concepts, and partnerships, as well as why giving back first works.

Techstars: Week 7

August 8, 2016

Nexosis learns to not dance, love ice cream, meet the mayor, and sit through baseball.

Techstars: Week 6

August 1, 2016

Nexosis is halfway done with Techstars and that means meetings and mayhem as we count down to Demo Day.

Techstars: Week 5

July 26, 2016

Nexosis on the move, on the phone, with sponsors and investors.

Techstars: Week 4

July 18, 2016

Nexosis rediscovers purpose, hits the Mississippi, hosts some shindigs and gets the once over from the Target people.

Techstars: Week 3

July 12, 2016

Nexosis throws a party. Mentors, mentors and more mentors. A bad pun at the end.

Techstars: Week 2

July 4, 2016

Mentor madness begins. Nexosis arrives in style. We meet with many people. We eat ice cream. We sit int he hot tub.

Increasing forecast accuracy to boost revenue by over $300,000

June 30, 2016

Independent Pepsi bottling company boosts revenue by $300,000 by partnering with Nexosis for increased forecasting accuracy.

Techstars: Week 1

June 28, 2016

Brief musing on what we are learning about at Techstars this week.

Daily store-level sales predictions with a 94.4% certainty

June 28, 2016

Zipscene partnered with Nexosis to uncover daily store-level sales predictions with a 94.4% certainty

Company makes list for accelerator

June 23, 2016

A Westerville technology company could be in for rapid growth after being chosen as one of just 10 companies in Target's Techstars Accelerator.

Target picks Westerville data mining startup for retail tech accelerator

June 22, 2016

Nexosis is spending the summer in Minneapolis in the first Target + Techstars retail accelerator program, which provides mentors to help grow businesses.

Announcing the 2016 Class of Techstars Retail, in Partnership with Target in Minneapolis

June 15, 2016

Announcing the 2016 Class of Techstars Retail, in Partnership with Target in Minneapolis

Tech Talk: Nexosis plans to solve a trillion-dollar problem

March 1, 2016

Westerville-based startup Nexosis is trying to solve a trillion-dollar problem globally when it comes to waste from overstock and need from understock.

Nexosis Helps Businesses Make Smart Decisions

January 20, 2016

Nexosis is using machine learning to reduce these errors before they happen, helping make businesses smarter with more accurate demand forecasting.

Nexosis: From Idea to Concept Academy to Customers in Less Than 6 Months

July 21, 2015

Nexosis founders’ know-how and research, with a small touch of good fortune, accelerate the company’s success.