We have a decade of experience building and evaluating ML models, which gives us a longer-term view than the AI hype cycle. Our team is made up of PhD scientists, with experience evaluating and improving AI systems at places like Apple, Oracle, Intel and T-Mobile.
We believe improving AI products requires discipline, and a deep understanding of the problem domain and customer intent. We build meaningful partnerships and build evaluations to track success metrics specific to your use case. We then use these evaluations to guide our experiments and improve your product.
Reach out and let us know how we can help. We will deliver.
We cultivate a culture where your word matters. We commit to the problems we take on and see them through.
We don't believe in pretending to know things when asking questions gets us to better solutions. We remain curious about the problems we solve.
We live by this—amongst ourselves and with our customers. Every project that has our fingerprints on it is better than how we found it.
We are deliberate life-long learners. We proactively learn state-of-the-art techniques and bring them to our customers.