AI Consulting for Startups

Whatever gets you unblocked: architecture and code reviews of your AI features, model selection and benchmarking, LLM cost optimization, roadmap and build-vs-buy decisions, and hands-on engineering alongside your team. We are engineers, not slide-makers - engagements end in working software or a concrete, testable plan.

A senior AI hire takes months to find and costs $200K+ a year before you know if the direction is right. A consulting engagement starts within days, brings patterns from dozens of production AI systems, and scales down to zero when the problem is solved. Many clients use us to make the first hire well - we set the architecture, they hire to run it.

A focused engagement (architecture review, cost audit, model evaluation) runs $2,000-$10,000 and takes 1-2 weeks. Ongoing fractional support - a set number of days per month embedded with your team - is quoted per engagement. Hands-on builds are scoped as projects, typically $10,000-$100,000+.

Usually dramatically. The biggest lever is architectural: most products call a model on every request for work that is actually repetitive. We compile that work into deterministic code that runs at near-zero token cost, and apply caching, model routing, and batching to what remains. That is the Return on Tokens discipline - spend tokens on change, not on every run.

Yes. Our team is distributed across the EU and builds GDPR-native by default - EU data residency, data minimization, and audit logging from the first commit. For the EU AI Act we implement the technical side: risk-appropriate logging, human-oversight hooks, and the documentation your compliance process needs. We work alongside your legal counsel, not instead of it.