Free, open-source, no vendor lock-in. Stand up a virtual receptionist, knowledge agent, or customer-intake bot in an afternoon — keep it forever, customize it however you want, or have us build it for you.
Because we've already built the core AI packages, we ship in weeks what consulting firms ship in quarters.
Everything we deliver is yours, MIT-licensed. Keep us, fire us, do it yourself — your call, your code.
You work directly with someone who's done this for 30 years. No bait-and-switch.
Security, monitoring, evals, and cost controls are built in — not sold as upgrades.
The same shape of problem shows up across industries. Names stay private until a client publishes a case study — the shipped work is real.
HVAC
8-truck contractor
Calls came in while the crew was on a job. Calls came in after hours. Every one went to voicemail — and most callers tried the next number on Google before the office opened.
Virtual receptionist that knows the service info.
Always answers. Quotes pricing, confirms the service area, books the appointment into dispatch on the spot — whether the techs are in the field or the office is dark.
Legal
12-person firm
Intake meant a paralegal retyping client info from email PDFs into case management every morning, and the partner only saw the file after the conflict was already on the schedule.
Intake assistant with conflict-check.
Email to case file in under two minutes — conflicts flagged before the file lands on a partner's desk.
Manufacturing
60-person plant
SOPs scattered across binders, PDFs, and the head of the most senior operator. Lines stopped for someone to come ask.
Internal knowledge agent. Lives in Slack.
Answers come back in seconds with the exact source paragraph cited — and the line keeps moving.
Composed from our open-source packages. Follow the tutorial and deploy on your own infrastructure for free — or have us customize and deploy it for you.
The building blocks behind every solution — MIT-licensed, organized into eight categories: voice agents, RAG, evals, observability, guardrails, orchestration, and more. Drop them into your existing stack for free, or have us assemble them for you.
Chaos testing, prompt injection benches, tool-use firewalls.
evals-qualityAgent and RAG eval harnesses, LLM-as-judge, prompt versioning.
observability-costOTel GenAI semconv, cost telemetry, semantic caching, model routing.
orchestration-protocolsAgent mesh, confidence routing, handoff protocols, A2A.
mcp-infrastructureGateway, catalog, doctor, schema evolution, server starter, multi-tenancy.
reliability-opsCircuit breakers, idempotency, output repair, secret rotation, session continuity.
deployment-runtimeTerraform modules for AWS/GCP, observability stacks, FaaS hot runtime.
domain-pipelinesHybrid RAG, voice agent kit, media pipelines, agent memory.
Claude Code, Cursor, Codex, Windsurf, Cline, and Gemini can search and use every package in the catalog through the REAA Standard Library MCP server — so your agent reaches for production-tested, MIT-licensed packages instead of writing them from scratch. One line to wire it up.
claude mcp add --transport http reaatech-sl https://mcp.reaatech.com/slWe fill the production gaps those tools leave open — security, evals, observability, cost control, and orchestration. Our packages drop into existing stacks.
See the packages# Six gaps your provider doesn't fill, one install each $ pnpm add @reaatech/otel-cost-exporter # Cost: real-time LLM spend via OTel GenAI spans $ pnpm add @reaatech/otel-genai-semconv-bedrock # Observability: auto-instrument Bedrock SDK with OTel $ pnpm add @reaatech/llm-judge-engine # Evals: LLM-as-judge scoring with calibration $ pnpm add @reaatech/guardrail-chain # Security: composable input/output guardrails $ pnpm add @reaatech/llm-cache # Caching: semantic cache to cut cost and latency $ pnpm add @reaatech/mcp-gateway-core # Orchestration: multi-MCP allowlist, auth, audit
Senior practitioner, real pricing, no lock-in. Pick the one that matches where you are — and start with a free first conversation, every time.
Adversarial probes, reliability, cost, and grounding — written report.
$300 per agentFor executives & business leadersStrategy, prioritization, vendor evaluation, board literacy.
$600 / hourFor technical teamsArchitecture, evals, observability, MCP, security, cost.
$600 / hourBuilt for youFixed scope, fixed price, MIT-licensed code in your repo. Yours forever.
$25,000 – $75,000A new MCP server gives agents direct access to hundreds of MIT-licensed TypeScript packages — and lets them file bugs back when something breaks.
A hybrid RAG pipeline for SharePoint knowledge search ships with a full tutorial, along with two monorepo ideas for TypeScript utilities and 23 packages for multi-tenant MCP servers and LLM cost observability.
We shipped four new AI tutorials for small businesses: a voice agent that books appointments, a lead intake system for HubSpot, a knowledge agent for Notion, and an agnostic budget controller.
Three to four nonprofits a year. Same engineering as our paying clients, same care, same code-stays-yours. The only thing different is the price.
Nonprofits per cycle
Hand-picked. One cycle a year.
What you pay
No invoice, no subscription, no catch.
Open through September 30, 2026
Applications accepted now.
One practitioner, every engagement — Rick Somers, founder and CEO. Thirty years of Fortune-class engineering, now spent on small and mid-sized businesses who deserve the same quality work at any price.
Anything that profits from harming or deceiving the people it reaches — including projects in categories we won't go near.
Full list of declined categories on the about page. No exceptions.
Every package in the catalog is MIT-licensed and lives on GitHub at github.com/reaatech. Clone it, run it, customize it. No registration, no API keys to us, no usage tracking. The tutorials at /solutions walk through composing them into working systems.
You do. Custom Implementation engagements deliver MIT-licensed code in your repo on day one, deployed to your infrastructure. Keep us, fire us, hand it to another team — your call.
First conversation in days, scoped engagement signed within a week, most implementations shipped in one to eight weeks depending on scope. Advisory engagements start as soon as both sides sign a short statement of work.
No. Custom Implementations include team training and 30 days of post-launch support. Your team takes over operation; if you don't have a team, we hand off to a partner you choose.
The most expensive part of building production AI — the underlying packages — is already done and free. Implementation is a fraction of the time and cost compared to building from scratch with an agency.
Yes. Primarily English-language engagements. We've worked with North American, European, and Asian clients. All work happens remotely.
First conversation is free.