Every Tool Named. No Vague Claims.

We work across all major model providers and route based on cost, latency, capability, and data residency.

Multi agent systems running in production. Memory, handoffs, tool use, error handling included.

Which platform fits depends on call volume, latency needs, languages, and whether you're handling inbound or outbound.

n8n is our go to. Self hosted deployments keep your data on your infrastructure and cost a fraction of cloud alternatives.

We build retrieval pipelines and tune them on chunking, embedding selection, and how results get ranked.

For healthcare, legal, finance, or anywhere data can't leave the building.

Default stack for new builds is Next.js App Router, TypeScript, Tailwind CSS, and shadcn/ui.

Node.js and Python handle most of it. FastAPI for Python API services alongside AI inference pipelines.

PostgreSQL through Supabase or Neon for most relational work. Prisma or Drizzle for the ORM layer.

Vercel for frontend. AWS when you need fine grained control. Cloudflare Workers for edge logic.

Docker for containers, GitHub Actions for CI/CD. Kubernetes when things need to scale.

Claude Code is our primary coding environment. Most of the team runs two or more AI tools side by side.

React Native with Expo for cross platform. Native Swift or Kotlin when platform APIs demand it.

We've built in regulated blockchain environments, specifically asset tokenization and carbon credit systems.

Lead gen pipelines, competitive intel, and training data collection.

Stripe handles most payment work. Auth0 or Clerk for login. KYC/AML providers when onboarding is regulated.