An MVP marketplace connecting data suppliers, ML developers and compute providers into one machine-learning ecosystem.

The client set out to unite the machine-learning market — big-data suppliers, algorithm developers, compute and storage providers, validators and customers — into a single incentive-aligned ecosystem, and needed an MVP to prove the model.
We built and launched the MVP on a Node.js / MongoDB stack with AWS and Docker: dataset composition, low-cost ML proofs-of-concept with short time-to-market, and micropayment channels between participants.



Two minutes of questions about your own build, answered by a senior engineer. You get a written plan and a number before you commit to anything.