Validate AI ideas before you invest.
A focused 2-4 week engagement that proves (or disproves) your AI hypothesis with real data. You get a working prototype, performance metrics, and a clear go/no-go recommendation. Not a research project — a decision tool.
From kickoff to working prototype
PoC-to-production conversion rate
Typical PoC investment
Honest go/no-go recommendations
What we build
PoC that leads to real decisions.
Hypothesis definition
We start by defining what success looks like. Clear metrics, acceptance criteria, and test scenarios — before writing any code.
Rapid prototyping
Working prototype in 2-4 weeks using your actual data. Not synthetic benchmarks, not cherry-picked examples — real-world performance on real-world data.
Evaluation & metrics
Quantitative evaluation against your success criteria. Accuracy, latency, cost per inference, edge case analysis. Numbers you can take to your stakeholders.
Go/no-go report
Honest recommendation with supporting evidence. If it works — here's the production plan. If it doesn't — here's why and what would need to change.
Production roadmap
For successful PoCs: architecture design, infrastructure requirements, timeline, and cost estimate for production deployment. No gaps between proof and product.
Seamless handoff
PoC code is production-quality from the start. Clean architecture, tests, documentation. When you greenlight — we build on the PoC, not from scratch.
Sound familiar?
PoC problems we solve every quarter.
“We have an AI idea but our board wants proof before approving the budget.”
We deliver a working prototype in 2-4 weeks with clear metrics. Your board gets evidence, not promises. If it doesn't work, you saved months of investment.
“Our last PoC was great but died in the transition to production.”
We build PoCs with production architecture from day one. Clean code, proper abstractions, deployment scripts. When approved, the path to production is weeks, not months.
“We don't know if our data is good enough for the AI use case we have in mind.”
The PoC answers that question definitively. We test with your actual data, measure performance, and tell you exactly what data quality improvements would move the needle.
Tech stack
Tools we use in production.
Ready to build
Let's prove your AI idea in 2-4 weeks.
45 minutes with our AI architects. We'll define your hypothesis, scope the PoC, and give you a fixed-price quote. If AI isn't right for this — we'll tell you on the call.
AI projects we delivered
