Natural intelligence is, like water, shapeless and seemingly effortless. Yet in spite of breathtaking advances, today's AI systems are not as robust as we would like. And as AI becomes a layer in all software stack, the incumbent deterministic product-market fit regimes are being replaced by a new regime where the probabilistic nature of AI makes the product-market fit much more challenging for all stakeholders.
We are a group of entrepreneurs, investors and computer scientists with specialization in AI and Machine Learning, with strong interest in the design of new AI products. Our goal is to continue to build toward the next generation of AI products that not only represent and reason about a diverse set of prediction tasks, including language understanding, vision and time series, but also afford a more reliable product-market fit.
We have decades of experience in researching, building and deploying AI and ML systems in various industries, ranging from Finance, Healthcare, Media and Agriculture.
We follow state of the art research, attend conferences, and have affiliation with top ML/AI groups in US (MIT & NYU).
We are hands-on, iteratively building and testing AI systems, minimizing gotchas.
Models are deployed and monitored on state of the art MLOps infrastructure.