We audit broken AI implementations, compress models for on-device inference, and deploy to the edge. Tiny models. Real metrics. No cloud dependency.
Start a test run →Most AI implementations underperform. We benchmark accuracy, latency, and cost-per-inference, then fix what's broken with measurable before/after metrics.
Quantization (INT4/INT8), pruning, and distillation. Deploy Gemini Flash, GLM 4.7 Flash on Cerebras, or Claude SDK agents where they actually need to run.
Ship inference on Cloudflare Workers with D1 and R2 for state. FastAPI + Pydantic AI backends. SQLite + sql-vec for lightweight vector search at the edge.
Fixed-scope engagements with clear deliverables and pricing.
Benchmark and fix underperforming AI. Eval harness, latency profiling, cost analysis, and remediation plan.
Train your team on model compression, quantization, and on-device deployment. Hands-on labs included.
Embedded edge AI executive advisory. Strategy, vendor evaluation, architecture reviews. 3–5 clients max.
We run your edge model pipeline. Deployment, monitoring, retraining, observability via Logfire.
Embed edge AI engineers in your team. Cloudflare Workers, Pydantic AI, FastAPI, TinyML specialists.
Productized compression and deployment tooling. Model optimization pipelines as a managed service.
Start with a low-risk test run. 10–20 hours/week at $250/hr.
Get started →