Full
Stack
Production systems enhanced with AI integrations — from legacy retooling to autonomous end-to-end orchestration. Elegant, robust, and radically simple.
What we do
Retool for the next generation.
Without rebuilding from scratch.
Legacy Retooling
Broken dependencies, forced API migrations, outdated frameworks. We audit your existing workflows first — identify what can be optimized in place vs. what needs replacing — and fix the rot without disturbing what works.
Agentic AI Integration
We design and implement multi-agent orchestration layers — supervisor/subagent patterns, tool-calling loops, structured output validation, and human-in-the-loop gates. Claude Code configured with project-specific CLAUDE.md, MCP servers wired to your codebase, APIs, and databases. Pipelines that route intelligently between models based on task complexity.
Workflow Automation
Existing manual processes audited, mapped, and automated — webhook-triggered agent chains, cron-scheduled AI jobs, Slack/Discord bots with agentic backends, and AI decision points dropped into n8n, Make, or custom pipelines. We connect the tools you already have rather than replace them.
Production Hardening
CI/CD pipelines, observability, security audits, and webhook infrastructure. Claude Code slash commands for repetitive dev tasks. Retry logic, fallback chains, and parallel tool-call architecture for latency and reliability under load.
Visit site ↗12 Monkeys
Agent orchestration platform with cross-registry discovery via the NANDA Index — enabling teams to build, deploy, and interconnect AI agents across heterogeneous service registries through a unified conversational interface.
Visit site ↗TheNoelleApp
AI-powered PR generation and MCP server tooling for developers. Paste a GitHub repo URL, describe a change in plain English, and Noelle opens a build-validated, review-ready pull request — no setup, no configuration. Also generates ready-to-use MCP servers from any repo so AI tools talk directly to your code.
Visit site ↗Breach
AI-first open intelligence platform — maps relationships between facilities, funding, research, equipment, and people. Public REST API, TypeScript & Python SDKs, MCP server with 27 tools, and an agentic AI assistant powered by knowledge-graph traversal. Open-source Palantir for builders.
EdgeQuanta
Production-grade edge infrastructure with an integrated quantum compute layer. A unified API routes workloads to real 180-qubit superconducting chips — near-zero cold start, global multi-region failover, full TypeScript type safety.
Visit site ↗Scam Likely
Real-time check fraud detection and cross-branch intelligence sharing for community banks. Zero-knowledge architecture — only SHA-256 fingerprints stored, never customer PII. Python SDK with local ML models, FastAPI central hub with WebSocket alerts, and a React dashboard for live fraud monitoring. 196 tests passing.
Visit site ↗Director's Chair
A browser-native cinematic AI studio. Describe a scene and the system generates synchronized images, video, and audio — full production-team capability with no timeline editors, no render queues.
Models & Platforms We Integrate
How we build
Agentic orchestration
is not a buzzword here.
We have built production multi-agent systems, configured Claude Code end-to-end, and designed pipelines that connect heterogeneous AI tools into coherent, reliable workflows. This is the actual practice.
Orchestration Layer Design
Supervisor agents that decompose goals, delegate to specialized subagents, collect structured outputs, and re-plan on failure. Built with Claude's tool-use API, extended thinking for complex reasoning, and interrupt points for human confirmation at high-stakes decision gates.
Claude Code Configuration
Full project setup with CLAUDE.md for persistent context injection, custom slash commands for team-specific workflows, MCP servers so Claude reads your actual codebase and calls your APIs directly, and pre/post-tool hooks for linting, validation, and formatting on every action.
Multi-Tool Pipeline Design
We connect the right model to the right task — fast/cheap models for triage and routing, reasoning models for decision-making, specialized models for code or vision. Structured JSON schemas enforce clean handoffs between stages. Retry logic and fallback chains handle failure without manual intervention.
Existing Workflow Optimization
Audit of your current processes to identify where AI reasoning replaces manual steps — not a rebuild, an overlay. We map the decision points, add intelligence where it creates leverage, and measure time-to-value before recommending anything larger.
Workflow Automation
Webhook-triggered agent chains, cron-scheduled AI jobs (reports, monitoring, digest emails), and AI decision nodes inside your existing n8n, Make, or Zapier flows. GitHub Actions with AI-powered code review. Slack and Discord bots backed by real agent logic — not canned responses.
MCP Server Development
Custom MCP servers that give AI agents direct, structured access to your databases, internal APIs, file systems, and third-party services. Used in production in 12 Monkeys, Breach, and TheNoelleApp — enabling Claude and other LLMs to operate as true system actors, not just chatbots.
Sprint
From $4,500
Quick-turn builds · 2–4 weeks
- —Landing page or marketing site
- —API integration or workflow automation
- —LLM-powered feature add-on
- —Claude Code setup + MCP server wiring
Build
PopularFrom $12,000
Production-grade apps · 4–10 weeks
- —Full-stack SaaS or internal tool
- —Agentic orchestration layer + pipeline design
- —Auth, billing, and admin panel
- —CI/CD + Cloudflare Workers deploy
Scale
Custom
Enterprise AI & infrastructure
- —Multi-model AI platforms + agent networks
- —Existing workflow optimization audit
- —Data pipelines, RAG & MCP infrastructure
- —Dedicated engineer + SLA
All projects start with a scoping call — no commitment required.