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LatticeFlow assists machine learning (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 ML 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 planned to use it to expand its team, improve its service to existing customers, and build 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.”