Cloud Hosting

Tecton.ai emerged from stealth and formally launched with its data platform for machine learning. Tecton enables data scientists to turn raw data into production-ready features, the predictive signals that feed machine learning models. Tecton is in private beta with paying customers, including a Fortune 50 company.

Tecton.ai also announced $25 million in seed and Series A funding co-led by Andreessen Horowitz and Sequoia. Both Martin Casado, general partner at Andreessen Horowitz, and Matt Miller, partner at Sequoia, have joined the board.

Tecton.ai founders Mike Del Balso (CEO), Kevin Stumpf (CTO) and Jeremy Hermann (VP of Engineering) worked together at Uber when the company was struggling to build and deploy new machine learning models, so they createdUbers Michelangelo machine learning platform. Michelangelo was instrumental in scaling Ubers operations to thousands of production models serving millions of transactions per second in just a few years, and today it supports a myriad of use cases ranging from generating marketplace forecasts, calculating ETAs and automating fraud detection.

Del Balso, Stumpf and Hermann went on to found Tecton.ai to solve the data challenges that are the biggest impediment to deploying machine learning in the enterprise today. Enterprises are already generating vast amounts of data, but the problem is how to harness and refine this data into predictive signals that power machine learning models. Engineering teams end up spending the majority of their time building bespoke data pipelines for each new project. These custom pipelines are complex, brittle, expensive and often redundant. The end result is that 78% of new projects never get deployed, and 96% of projects encounter challenges with data quality and quantity(1).

Data problems all too often cause last-mile delivery issues for machine learning projects, said Mike Del Balso, Tecton.ai co-founder and CEO. With Tecton, there is no last mile. We created Tecton to empower data science teams to take control of their data and focus on building models, not pipelines. With Tecton, organizations can deliver impact with machine learning quickly, reliably and at scale.

Tecton.ai has assembled a world-class engineering team that has deep experience building machine learning infrastructure for industry leaders such as Google, Facebook, Airbnb and Uber. Tecton is the industrys first data platform that has been designed specifically to support the requirements of operational machine learning. It empowers data scientists to build great features, serve them to production quickly and reliably and do it at scale.

Tecton makes the delivery of machine learning data predictable for every company.

The ability to manage data and extract insights from it is catalyzing the next wave of business transformation, said Martin Casado, general partner at Andreessen Horowitz. The Tecton team has been on the forefront of this change with a long history of machine learning/AI and data at Google, Facebook and Airbnb and building the machine learning platform at Uber. Were very excited to be partnering with Mike, Kevin, Jeremy and the Tecton team to bring this expertise to the rest of the industry.

The founders of Tecton built a platform within Uber that took machine learning from a bespoke research effort to the core of how the company operated day-to-day, said Matt Miller, partner at Sequoia. They started Tecton to democratize machine learning across the enterprise. We believe their platform for machine learning will drive a Cambrian explosion within their customers, empowering them to drive their business operations with this powerful technology paradigm, unlocking countless opportunities. We were thrilled to partner with Tecton along with a16z at the seed and now again at the Series A. We believe Tecton has the potential to be one of the most transformational enterprise companies of this decade.

Sign up for the free insideBIGDATAnewsletter.

Continue reading here:
Tecton.ai Launches with New Data Platform to Make Machine Learning Accessible to Every Company - insideBIGDATA