Decide what AI is worth building
before you build it.
Objective validation, rigorous benchmarking, and production-grade prototypes for your hardest operational problems.
SOTA Cloud vs. Private Local
We don't default to the cloud. We evaluate it. We rigorously benchmark top-tier cloud models (like GPT 5.4 and Claude 4.6 Opus) against leading offline and open-weights models (like DeepSeek, GPT-OSS, Qwen, Kimi, Mistral, GLM, Minimax, and other suites) using your specific data.
We empirically prove the optimal balance of privacy, cost, and performance before you commit to a long-term architecture. No hype, just data-driven architecture.
The Validation Sprint
7–10 Days. Pricing depends on project scope and complexity.
Our sprint process is designed to turn hypotheses into high-confidence decisions. We prevent "pilot purgatory" by explicitly scoping and testing real workflows against real data.
Production-Grade Artifact
You don't just get a deck. You get modular, extensible code that your team can immediately pick up and scale.
TCO Model (Build vs. Buy)
We accurately model Total Cost of Ownership, including maintenance and error costs, to show what this will cost in production.
Go / No-Go Decision
If the AI isn't ready or the data isn't there, we tell you exactly why in a technical root-cause analysis.
Have a unique problem? We build custom AI.
We’re constantly looking for new problems to solve. If off-the-shelf software isn't cutting it, we can design, build, and deploy a custom, privacy-first AI solution specifically for your team.
Let's explore your idea