LatticeFlow

LatticeFlow asisstsassists Machinemachine Learninglearning (ML) teams in building and deploying artificial intelligence (AI) models. The company's system management software offers a core programming API for an asynchronous data coordination framework. It assists in testing and certifying the system to make sure that machine learningML models work as expected, and are ready for production use, allowing clients to deploy artificial intelligence models in their business.

LatticeFlow is not in the training business. The company's service works with pre-trained models. It specializes in offering its service as an on-prem tool, and there are plans to offer a fully managed service in the future. In 2022, the company raised a $12 million Series A funding round and plansplanned to use it to expand its team, improve its service to existing customers, and build its product portfolio.

“I was in the States and I met with some investors in Palo Alto. They saw the bottleneck that we have with onboarding customers. We literally had machine learning engineers supporting customers and that’s not how you should run the company. And they said: ‘OK, take $12 million, bring these people in and expand.’ That was great timing for sure because when we talked to other investors, we did see that the market has changed.”

WeLatticeFlow empowerasissts MLMachine Learning teams to deliverin robustbuilding and trustworthydeploying AI.Developerartificial ofintelligence amodels. The company's system management software designed to help teams to build and deploy artificial intelligence models that are safe, reliable, and trustworthy. The company's software providesoffers a core programming API for a newan asynchronous data coordination framework. thatIt helpsassists toin testtesting and certifycertifying the system to ensuremake sure that machine learning models work as expected, and are ready for production use, enablingallowing clients to efficiently deploy artificial intelligence models in their business.

LatticeFlow itself, it is worth noting, isn’tnot in the training business. The company's service works with pre-trained models. ForIt now,specializes it also focuses onin offering its service as an on-prem tool, thoughand itthere mayare plans to offer a fully managed service in the future, too, as. itIn uses2022, the newcompany raised a $12 million Series A funding and plans to hireuse aggressivelyit to expand its team, both toimprove betterits service itsto existing customers and to build out its product portfolio.

LatticeFlow itself, it is worth noting, isn’t in the training business. The service works with pre-trained models. For now, it also focuses on offering its service as an on-prem tool, though it may offer a fully managed service in the future, too, as it uses the new funding to hire aggressively, both to better service its existing customers and to build out its product portfolio.

Petar Tsankov said in an interview:

“I was in the States and I met with some investors in Palo Alto. They saw the bottleneck that we have with onboarding customers. We literally had machine learning engineers supporting customers and that’s not how you should run the company. And they said: ‘OK, take $12 million, bring these people in and expand.’ That was great timing for sure because when we talked to other investors, we did see that the market has changed.”

We empower ML teams to deliver robust and trustworthy AI.Developer of a system management software designed to help teams to build and deploy artificial intelligence models that are safe, reliable, and trustworthy. The company's software provides a core programming API for a new asynchronous data coordination framework that helps to test and certify the system to ensure machine learning models work as expected and are ready for production use, enabling clients to efficiently deploy artificial intelligence models in their business.