Business transformation · Powered by agentic AI
We transform how your business runs.
Not another tool for your team to babysit. We rebuild how the work actually runs — agents on one shared, governed foundation taking on real work end to end, so your operation gets faster, leaner, and more profitable. Senior team, shipped in weeks, cleared for production.
The gap
Most AI spending lands in a cost center. We put it on the profit side.
There’s a gap between AI that adds to your costs and AI that lifts your margins. Pilots, licenses, and demos pile up on the expense line, and few ever change how the business actually earns. Cannode works on the other side of that gap — systems that take real work off the payroll and hand it to software that runs on its own.
What makes the profit real, and not a slide: we’re a senior, hands-on team who’ve put systems into production in regulated, high-stakes environments. It ships in weeks, it holds up under load, and your security team clears it — so the margin shows up on this year’s P&L, not someday.
How the work runs
One workflow. The right tool for every step.
We don’t drop one model on top of your process. We rebuild the workflow end to end — each step handled by deterministic automation, AI that acts, or human judgment, by the precision and stakes it demands. All of it drawing on one shared, governed foundation.
- Deterministic
Ingest & validate
Every record checked against the rules.
- AI acts
Read & reconcile
AI makes sense of mismatched, messy input.
- AI acts
Draft the action
AI proposes the next move, with its reasons.
- Human
Approve what matters
A person signs off on the calls that count.
- Deterministic
Execute & record
Committed to your systems, fully audited.
Grounded in one shared, governed data foundation
See one, built
What a true agentic platform looks like.
“Agentic automation” stays abstract until you watch one work — so we built one. Meridian is a governed prior-authorization co-pilot for a Medicare-Advantage health plan. An agent reads a member’s chart, pulls the governing medical policy, and drafts an approve-or-deny recommendation with its evidence cited — and a person makes the final call.
What makes it more than a demo is where it runs: inside a hardened boundary where the agent holds no credentials and every single action it takes is checked against what it’s actually allowed to do. That governance isn’t bolted on — it’s the standard we build into everything.
The point of it
Most leaders can’t picture what an agentic platform is, or why “governed” matters. Meridian is the answer you can see: the art of the possible, and the guardrails that make it safe to put live — in one workflow you already understand.
Least privilege, enforced
The agent can only touch the one member record its task names. Ask it for a member it isn’t scoped to, and the request is denied at the boundary — before any model even sees it.
Data that can’t leak
Raw patient data never leaves the secure boundary for a cloud model. A mis-route is denied and recorded, not quietly allowed — data residency by construction, not by policy.
A trail a regulator can read
Every decision and action is recorded — who acted, on whose behalf, on what, and why — as one complete, exportable audit a compliance officer can actually follow.
Reference demonstration — built on synthetic data to show the art of the possible, and proven end-to-end on real infrastructure. It’s how we demonstrate what we build; it is not a shipped client system.
The art of the possible
Two ways it lifts the bottom line.
Every engagement moves one of two numbers: the cost of running the business, or the revenue it can earn. Usually both.
Run your operations smarter
Automate the back office and catch what leaks — faster cycles, fewer errors, lower cost.
- → Automate document & data workflows
- → Detect fraud, waste, and anomalies
- → Copilots for your team, grounded in your data
Build new AI-powered products
Turn your data and models into things your customers can use — new value, new revenue.
- → Data-driven products & experiences
- → Personalized recommendations & insight
- → AI features inside your existing product
Why us
Most AI work stalls in one of two places. We clear both.
Either the return never justifies the spend — or it’s too risky to put live. We built the firm to beat both: work that pays for itself on a timeline you can plan around, and AI your security team will actually clear.
Pays for itself, then keeps paying.
Most firms
Months of billable discovery and a big bench — cost lands now, value lands someday, if ever.
Cannode
A senior team that builds AI-native — enterprise output in weeks, not quarters. You reach production sooner, and the system keeps earning after we’re gone. The engagement pays for itself, then turns into margin.
Guardrails, not gambles.
Most firms
Hand you a demo with no controls and no audit trail — the kind your security team can never approve.
Cannode
We build the guardrails in — least-privilege agents that get tools, not your credentials, with every action checked against what that agent is actually allowed to do; zero-egress deployment (Claude via AWS Bedrock, secrets in Vault); human-in-the-loop approval; layered prompt-injection defense; and a complete, regulator-readable audit trail of who did what. Cleared for production, not a risk you inherit.
Every system we ship
Ships with an eval suite you can rerun — quality is measured, not assumed.
A full, reviewable record of what the system did and why.
People approve the high-stakes steps. Autonomy is earned, not assumed.
Approval gates and staged rollout — nothing ships that you can’t walk back.
Track record
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.
We’re based in the United States and staff every engagement with U.S. citizens only — we never offshore your work. For the regulated and security-sensitive buyers we build for, that keeps data, IP, and compliance clean.
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
A sample of what we’ve shipped
A fully agentic enterprise-identity platform
Autonomous migration of legacy identity code and data for a regulated security domain — human-in-the-loop approval gates at every high-risk step, WORM audit trails, layered prompt-injection defense, and zero-egress deployment (AWS PrivateLink, Claude via Bedrock).
An autonomous trading system on the full NASDAQ stream
Real-time pattern recognition across every symbol on the exchange, GPU-accelerated — the kind of latency- and correctness-critical system where “mostly works” is not a category.
Forward-deployed ML for enterprise data customers
Seven years at Alation: a forward-deployed team fine-tuning LLMs on customers’ own data, integration of an acquired GenAI platform, and multiple product SKUs launched from that work.
ML-driven pharmacy order-fulfillment automation
A machine-learning platform automating order fulfillment — including the HL7 integration layer wiring it into legacy pharmacy systems that could not be replaced.
Founder
Mandeep Singh Lev has spent his career building production data and AI systems: data science at Bloomberg and Deutsche Bank, seven years at Alation leading forward-deployed ML — fine-tuning LLMs on enterprise customers’ data and integrating an acquired GenAI platform — and co-founder of an autonomous-trading firm that ran real-time pattern recognition on the full NASDAQ stream.
Today he heads AI platforms at an enterprise identity-security company, where his team ships agentic systems into one of the most security-sensitive domains there is.
Claude / Anthropic
Claude-preferred. Model-honest.
We lead with Claude and know it cold — Claude Certified, built through AWS Bedrock and Google Vertex — with the honesty to tell you when a different model, or a smaller open one, is the better call.
Our own IP
We don’t just build for you — we build our own.
Between client work we invest in reusable IP — the engines and playbooks that let us stand up production AI faster, and more safely, than starting from a blank repo. Some of it you can buy: Syntropy ships as a delivered engagement, configured to your corpus and pipeline.
Constellation
AI-ready context layer
Fuses messy, disparate data into one coherent picture an AI can reason over — proven on financial-market data.
The engine of a data company — the same architecture unifies yours.
Syntropy
Ground-truth data engine
Turns any document set into labeled, high-quality ground truth — the training and evaluation data that make an AI system accurate, and its accuracy provable.
The truth your models learn from — and are judged against.
Ground truth, delivered →Nebula
Our build playbook
Sixteen proven building blocks for standing up production AI platforms fast — and governed by default, so every agent we build is least-privilege and fully auditable from day one.
How we’d build yours.
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 2–4 week assessment at $4k per workflow. 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-certified 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 .
Bring us your hardest AI problem.
The first conversation is a free 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.