We build AI systems that actually work in production.
Not demos. Not slide decks. Production-grade agentic workflows with deterministic gates, adversarial review loops, and structural enforcement.
Conductor
Orchestrates AI agent swarms to turn GitHub issues into merged PRs. Adversarial dual-AI review, portfolio orchestration, 81-89% token optimization, and fail-closed phase gates. Battle-tested in production.
Full breakdown →AI Knowledge Engine
Distills large document corpora into structured knowledge, builds self-learning profiles from interaction data, and delivers real-time contextual guidance grounded in source material.
Full breakdown →AI Sales Pipeline
8-stage automated pipeline: company discovery, leadership identification, enrichment, priority scoring, and personalized outreach generation. Territory research in hours, not weeks.
Full breakdown →AI Patent Workflow
6-gate dual-AI patent pipeline with adversarial red-team review, automated Section 112 compliance validation, and filing-ready bundle generation. Proven in production.
Full breakdown →Claude PM Toolkit
PM intelligence layer for AI coding agents. Full MCP toolkit, adversarial reviews, parallel development with worktree isolation, persistent memory, and Monte Carlo sprint forecasting.
Full breakdown →Strategy
Engineering
Discovery
Free 30-minute call. We identify what you need and whether we're the right fit.
Scope
We define the system architecture, deliverables, timeline, and cost. No surprises.
Build
We design, implement, and test. You get visibility at every stage with working demos.
Ship
Production deployment with documentation, runbooks, and post-launch support.
Hourly Consulting
Deliverables
- Architecture review of your current AI approach with written findings
- Technical feasibility assessments for proposed AI features
- Agentic workflow design sessions with system diagrams
- Code review of AI integration points with specific recommendations
- Tool and model selection guidance tailored to your stack
Weekly Embedded Advisory
Deliverables
- 20–30 hours/week of direct collaboration with your engineering team
- Production-ready agent architectures designed for your codebase
- Knowledge transfer through pairing, code review, and documentation
- Weekly progress reports with architecture decision records
- Runbooks and operational docs so your team owns the system after we roll off
Fractional Head of AI Engineering
Deliverables
- AI strategy and roadmap aligned with your business goals
- Architecture standards, review processes, and quality gates for all AI work
- Hiring support: interview design, technical screening, team structure planning
- Monthly executive briefings on AI capabilities, risks, and opportunities
- Hands-on technical leadership: design reviews, critical-path implementation, vendor evaluation
Workflow Automation
Deliverables
- Requirements workshop and system design document
- Production-deployed agentic workflow with quality gates and audit trails
- Integration with your existing tools (GitHub, Slack, CI/CD, databases, APIs)
- Test suite with adversarial review coverage
- Operations manual and 30-day post-launch support
Full System Build
Deliverables
- Architecture design with multi-agent orchestration and structural gates
- Production deployment with adversarial review pipelines and fail-closed gates
- Model routing, cost optimization, and observability infrastructure
- Full test suite, security review, and compliance documentation
- Architecture docs, runbooks, and 60-day post-launch support
Let's build something real.
Tell us what you're trying to automate. We'll tell you if AI is the right answer.
Get in Touch