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We turn AI ideas into production systems.

From strategy to deployment, we help companies build what they need to compete. Four practices, sequenced or standalone.

PRACTICES 04
ENGAGEMENT 4 - 24 wk
DEPTH Discovery to Prod
SCOPE Idea / MVP / Scale
SHAPES Fixed / Retainer
OUTPUT Shipped systems
§01 - Index

Four practices, one workshop.

S - 01AI Product Strategy and ArchitectureFor: companies with AI ideas, no clear path↓S - 02AI Product DevelopmentFor: companies ready to build↓S - 03AI Lab Systems and AutomationFor: companies that want to automate operations↓S - 04Open-Source and InfrastructureFor: developers and teams building on AI↓
S - 01 / Strategy

AI Product Strategy and Architecture

- ForCompanies that have AI ideas but no clear product path.

Before writing code, we make the idea buildable.

01Discovery workshops
02AI opportunity mapping
03Technical feasibility review
04Product scope and roadmap
05Architecture planning
06MVP definition
07Build-vs-buy recommendations
08Stakeholder alignment
Typical engagement - 2 - 6 weeksStart a strategy thread →
S - 02 / Development

AI Product Development

- ForCompanies ready to build.

We build AI products that move beyond demos.

01Full-stack AI applications
02LLM-powered platforms
03RAG systems
04Agentic workflows
05AI dashboards
06Internal automation tools
07API integrations
08Deployment and production support
Typical engagement - 6 - 24 weeksStart a build →
S - 03 / Lab Systems

AI Lab Systems and Automation

- ForCompanies that want to automate operations.

We turn repeated work into intelligent systems.

01Internal AI agents
02Workflow automation
03Knowledge systems
04AI-assisted task management
05Data extraction tools
06Document intelligence
07Custom copilots
08Ops dashboards and observability
Typical engagement - 4 - 16 weeksAudit our workflow →
S - 04 / Infrastructure

Open-Source and Infrastructure

- ForDevelopers and teams building on AI.

We build tools that make AI development faster.

01MCP tools and integrations
02Agent memory systems
03API routing and optimization
04Developer tooling
05Infrastructure components
06Custom SDKs and CLIs
Open source - Sponsorship - Custom buildsSee lab projects →
§02 - How an engagement runs

Same four moves, every project.

PHASE 01

Listen and scope

We sit with the messy version. Discovery, opportunity mapping, technical feasibility. No proposals before we understand the problem.

PHASE 02

Architect

We write the spec, the data flow, the model boundaries, the human-in-the-loop. We agree on what "production" means before we build.

PHASE 03

Build

Two builders, deep ownership. Weekly demos against real data. Constraints kept tight; surface area kept small.

PHASE 04

Ship and hand-off

Deploy, observe, harden. Documentation, runbooks, training. We stay on retainer when it helps; we walk away clean when it doesn't.

§03 - Where to start

AI Tools Assessment

Not sure where to start? Our AI Tools Assessment is a one 45-minute interview, where we deliver a concrete report with the right tools, priorities, and next steps for your business.

AI Tools Assessment →