Numerata Information

At quant firms and prop trading desks, code isn't sensitive data sitting next to the business. It is the business. The edge compounds the longer it's used. Route it through a third-party model, and that compounding value builds someone else's product, not yours. Numerata exists because that tradeoff shouldn't be necessary. We built the full stack, compute, training, and deployment, so firms can get a coding assistant that's actually trained on their systems, without that code ever leaving their trust boundary: → Lupine: GPU over TCP. Scale to zero in a private cloud, or go fully air-gapped. → P95: the agentic training platform. Every commit becomes training signal, automatically. → NinetyFive: the fastest autocomplete, 50ms median latency, trained on your codebase, not the open internet's. Generic frontier models are genuinely good at mainstream languages and frameworks. They fall apart exactly where it matters most: a firm's proprietary internal systems were never in anyone's training data. That's not a tuning problem. It's a structural blind spot, and no amount of prompting closes it. That's the exact problem Jane Street cares about most. They led our seed round, and they're now one of our flagship customers, running NinetyFive on their own codebase rather than trusting it to a third party. If your firm's engineering edge lives in systems no generic model has ever seen, we'd like to show you what happens when a model is trained on the only code that matters: yours.