Production AI studio · Member of the Claude Partner Network
We ship
production AI.
Most firms advise on AI or hand you a chatbot demo. We’re a senior team of builders — we put agentic systems into your production stack, hardened and secure, and live in weeks.
The gap
Strategy decks don’t survive contact with production. We do.
There’s a gap between an AI demo and an AI system your business can depend on — security, reliability, evals, human oversight, the messy integration with the stack you already run. Most of the market stops at the demo. Cannode lives on the other side of that gap.
We’re a senior, hands-on team — engineers, data, and AI practitioners who’ve put real systems into production across regulated, high-stakes environments. We bring that whole bench to your hardest AI problem, with the security and audit controls enterprises require and the speed startups need.
How we work with you
Three ways in. One destination.
Most clients start with an Audit and expand into a build. Pick the door that fits where you are.
AI Opportunity Audit
A fixed-fee, 2–4 week assessment. We map your processes, rank the AI use cases by value and effort, and hand you a prioritized build plan with realistic cost, risk, and ROI — yours to act on, with us or without us.
Prioritized opportunity map + build plan
Explore →Build — Production AI & Agents
We design and ship the system: agents, integrations, and the unglamorous production scaffolding — evals, guardrails, human-in-the-loop, audit, deployment — that makes it trustworthy. Starts with a fixed-scope Build Sprint: idea to working system in 4–8 weeks.
A working, deployed system in your stack
Explore →Embedded AI Engineers
A senior, Claude-fluent engineer or small pod embedded in your team — building alongside your people and leaving them stronger. Monthly engagement, senior-only.
More shipped, and a team that levels up
Explore →Not sure where you fit? Book a working session and we’ll tell you straight.
Why our AI holds up
What makes it hold up in production
Agentic, not chatbots
Anyone can wire up a chatbot. We build agent systems that do work — orchestration, tool use, human-in-the-loop approval gates, evaluation harnesses, full audit trails, and layered prompt-injection defense. Production-hardened autonomy, not a demo that breaks on the second prompt.
Enterprise-trust, built in
We design for buyers who can’t take risks: zero-egress deployment (VPC/PrivateLink, Claude served through AWS Bedrock so your data never leaves your boundary or trains a model), secrets in HashiCorp Vault, and layered security scanning in the pipeline. If your security team has to clear it, we’ve already done this.
AI-native velocity
We build software the way the best teams now build it — AI-native, with a fraction of the headcount. Small senior teams, leaning on AI, deliver enterprise output at a pace and price the old delivery model can’t touch.
Who you work with
A senior team that’s shipped the real thing.
Cannode is a small, senior team — engineers, data scientists, and AI practitioners who’ve spent their careers putting real systems into production, not slideware. Between us we’ve built agentic platforms, data and ML infrastructure, and enterprise software for regulated, high-stakes environments.
We don’t staff junior benches. The people who scope your work are the people who build it — and they’ve shipped before. That’s the standard we bring to your build.
Cannode is a new firm, taking a small number of anchor clients. Client case studies are in progress — early partners get senior attention and favorable terms in exchange for a reference.
Where we’re strong
- 01 Agentic systems & orchestration
- 02 Data & ML engineering
- 03 Enterprise security & compliance
- 04 Forward-deployed delivery
- 05 Claude & multi-model builds
Claude / Anthropic
Claude-preferred.
Model-honest.
We use the right model for your problem — but we lead with Claude, and we know it cold. Our team builds on Claude through AWS Bedrock and Google Vertex, and Cannode is a member of the Claude Partner Network.
You get a team trained on Anthropic’s own implementation playbooks and a direct line into the Claude ecosystem — with the honesty to tell you when a different model, or a smaller open one, is the better call.
Bring us your hardest AI problem.
The first conversation is a working session, not a sales call. Tell us what you’re trying to ship; we’ll tell you whether AI is the right tool, how we’d build it, and what it would take. No decks.