Engineering Intelligent Products.

We work with growth-stage startups and mid-market enterprises. Our clients typically have a technical problem that requires deep engineering expertise — whether that is building their first AI product, scaling an existing platform, or integrating intelligent automation into their operations.

Discovery and design take 2–4 weeks. A first production-ready MVP typically ships in 6–12 weeks depending on scope. We then move into an ongoing iteration model. We do not do one-off projects — we partner for the long term.

Yes. We frequently embed alongside existing teams — either as a specialized AI squad, a mobile engineering team, or as senior technical leadership. We adapt to your structure, not the other way around.

We build production AI systems: RAG pipelines over your proprietary data, LLM-powered agents that take real actions, fine-tuned models for domain-specific tasks, and voice AI interfaces. We work with OpenAI, Anthropic, and open-source models depending on your requirements. We do not build demos — we build systems that run in production.

We scope MVPs tightly around the core value hypothesis — no unnecessary features. The goal is to get something real in front of users as quickly as possible, then iterate based on evidence. We have helped multiple companies go from concept to first users in under three months.

All code and intellectual property belongs to you from day one. We sign NDAs before any scoping conversation. We do not use your data to train models or share client information with third parties.

We work on a fixed-scope retainer model for ongoing engagements, or time-and-materials for exploratory projects. Pricing depends on team composition and scope. We will give you a clear proposal after the discovery call — no surprises.