Give us your problem, your data, and your target. We apply AI to deliver a working result, with clear ROI. We don't body-shop, and we don't sell a model in search of a problem.
We scope the business outcome and the ROI before we write code. If we can't see the payoff, we say so.
Data prep, fine-tuning, edge and cloud deployment, full builds. Whatever the outcome needs, nothing it doesn't.
You get a deployed outcome and the means to run it, not a research project that stalls after the demo.
Four capabilities, assembled around the outcome you need.
Real and synthetic data, prepared for the job. We build the pipelines, fix the quality problems, and generate synthetic data where real data is scarce, sensitive, or expensive to label.
We adapt models to your domain, your data, and your constraints. The result is a model that behaves the way your task needs, not a generic one you have to work around.
Getting a model to run well on constrained hardware is its own discipline. We onboard models to edge silicon and optimize them to hit real latency and power budgets. As a registered Qualcomm vendor, we completed CroCo edge-model onboarding on the Qualcomm IQ-9075.
The unglamorous integration work that makes AI actually pay off: wiring the model into the systems, workflows, and people who act on it. This is where most AI projects stall and where we spend our time.
An AI intelligence platform for capital projects: architecture, shared services, and the first production tool, built around Primavera P6 and SAP PS data.
A compliant e-commerce storefront with an AI concierge for curation and recommendation chat. A real store taking real orders.
Synthetic training data for automotive voice, and CroCo edge-model onboarding on the Qualcomm IQ-9075.
Tell us the outcome. We'll tell you how AI gets you there, and what it's worth.
