Build AI into the product. Not on top of it.
We design and ship AI systems that are native to the product — shaping how it works, adapts, and delivers value.
Best fit
Founders building products where AI is the core experience — not a feature. Especially teams moving from prototype to production, or replacing brittle integrations with something that actually scales.
AI-Native Engineering Case Studies
Proof from AI product builds, copilot deployments, and full-stack systems shipped for founders moving fast.
AI Creative Production
KittyKat
Built the AI-powered creative production system that enabled a brand studio to launch high-volume campaigns with AI-generated visuals.
ESG Intelligence
Bevolve AI
Turned fragmented sustainability reporting into an AI-guided system teams could trust for faster, evidence-based decisions.
Health AI
AgeShift
Engineered the AI-driven wellness intelligence layer that personalized aging journeys for a health-first consumer platform.
Health Insurance AI
tvam
Unified product narrative and campaign touchpoints to improve trust, response quality, and acquisition efficiency.
How we build it
AI that works in production, not just in demos.
Product-first, AI-second
We start with what the user actually needs to do, then decide where AI creates the most leverage. Not the other way around.
Built to be reliable
Retrieval, orchestration, validation, fallback. We build the infrastructure that makes AI behaviour predictable at scale.
Shipped, not prototyped
Every AI workstream is paired with the cloud infrastructure, deployment pipelines, and scaling patterns it needs to stay up in production — not just pass a demo.
AI-Native Engineering Services
AI product architecture
Designing the AI layer before writing the first line of code. Model selection, retrieval strategy, orchestration, and the system logic that holds it together.
RAG and retrieval systems
Vector search, document ingestion, and retrieval pipelines that give AI the right context at the right moment — without hallucinating the rest.
LLM integration and orchestration
GPT, Claude, Gemini, or open-source — integrated into product flows with prompt engineering, output validation, and fallback logic built in.
Cloud infrastructure and deployment
CI/CD pipelines, secure cloud deployment, and scalable backend architecture. AI products that stay up, stay fast, and stay auditable.
Client perspective
“What mattered most here was orchestration. Multiple AI tools, retrieval workflows, and cloud systems were brought into one product experience that felt useful, reliable, and much easier to navigate.”
TVAM engagement
Health Insurance AI
Have an AI product to build or an integration to fix?