Enterprise

The platform,
running as yours.

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White-label or on-premise, on servers you own — or built alongside your team. Not a bigger subscription: the platform itself, shaped to your business.
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For organizations replacing $80K+/yr enterprise BI tools — or building agentic pipelines of their own

Business gives your team more of our hosted platform — volume, priority, an analyst on your data. Enterprise is different in kind: the platform becomes yours. Deployed under your brand, inside your network, on infrastructure you own, with analysis pipelines customized to the questions your business actually asks. And if you're building your own agentic pipelines rather than buying ours, we consult — because we run one, in production, every day.

Two ways in

Plug and play

The platform, deployed for you

You want the capability without building any of it. We deploy the same platform we run — white-labeled, inside your environment — and shape its pipelines to your business.

  • White-label — your brand on every report and surface
  • On-premise, your cloud subscription, or servers you own — your data never leaves your network
  • Business pipelines customized to your recurring questions
  • Custom connectors — internal tools, warehouses, industry systems
  • Your choice of AI model, or bring your own key
  • Unlimited usage — priced by contract, not by credit
Talk about deployment →
Build your own

Consulting, from a team that runs one

You're building your own agentic pipelines — analysis, operations, reporting — and you want the people who already operate a company on them, not a slide deck about the future of work.

  • Architecture and design for agentic pipelines your operators steer
  • Co-build with your engineers — working systems, not recommendations
  • The hard parts named upfront: verification, handoffs, work tracking, observability
  • Code that stays contextually connected — every change tied to its work item, so agents and humans can trace why anything exists, years later
  • Our own production substrate as the reference implementation
  • Engagements scoped to your stack and your team
Talk about consulting →

Building a platform sounds simple. The substrate isn't.

An agent that answers a question is a demo. A platform where agents reliably do work — on your data, unattended, at a quality you'd sign your name to — needs machinery underneath that nobody sees until it's missing. This is a high-level view of what we run, every day, to operate ours. Deploy it as yours, or learn from it while building your own.

Work contracts — the Lattice system

Every change opens with a written contract — what will be touched, how success will be observable, what "done" means — and closes against evidence. Every commit carries its work item's id, so code, contract, and evidence stay connected: an agent picking up the work months later can pull the full context of why any line exists, by reference. Agents and humans work under the same rules.

The back office — an org of agents

Specialists, managers, and desks with a single front door for intake. Work is routed, not grabbed. Each agent carries its own operating book and leaves memos the next one reads.

How agents work together

Typed handoffs — delegate down, escalate up, ask sideways — with capped rounds and a standard result format. Agents that can't resolve something surface it to a human operator instead of guessing.

The board — live operational visibility

One console over everything: what's running, what's queued, what's stuck, who decided what and why. Every chain of agent work is replayable, not a black box.

Overlays — precision without prompt bloat

Per-domain instruction layers, versioned and measured for effect, injected exactly where they apply. The cheapest fix that kills a whole class of error wins — a deterministic gate before a prompt edit.

Verification that isn't self-graded

Independent verifiers check delivered work against the request — and the delivered answers themselves get assessed for correctness, not just for passing gates. A wrong-but-plausible answer is the failure mode we engineer against hardest.

Connectivity — one queue, many workers

A shared, race-safe work queue feeding a fleet of workers, with code deploying to the whole fleet on push. Adding capacity is provisioning, not re-architecture.

Knowledge the agents actually read

Searchable manuals, per-agent books, and semantic knowledge bases wired into every agent's context — so lessons learned once stay learned, instead of living in one person's head.

Straight talk.

We're early, and we'd rather tell you that on this page than on the call. SSO, audit logs, custom data residency, and private deployment are built into your onboarding as your contract requires — they are not sitting on a shelf pre-hardened. Compliance attestations (SOC 2, HIPAA) don't exist yet. If you need something production-hardened on day one, say so and we'll tell you honestly whether we're the right fit today.

How Enterprise compares to the alternatives

DataRobot / Databricks AutoML$80K–$300K/yr
Tableau Enterprise (25+ seats)$25K–$60K/yr
Analytics agency retainer$60K–$250K/yr
Custom in-house data science team$250K+/yr (one FTE)
MCP Analytics EnterpriseCustom — often 5-10x less

Which door is yours?

If your team needs volume, priority, and an analyst on your data — on our hosted platform — that's Business, $499/mo, sign up today. Enterprise is for when the platform has to be yours: your brand, your network, your servers, your pipelines — or when you're building your own and want experienced hands beside you. If your procurement process expects SOWs, MSAs, and security reviews, this is where we meet you.

What happens on the call

A 30-minute conversation with someone who actually builds the platform. We'll ask which door you're at — deploy or build — what data you work with, what your team runs today, and where the gaps are. We'll tell you honestly whether we're a fit, what we'd need to build for you, and what a contract would look like. No slides, no enablement deck.

Schedule a Call

30 minutes. Direct conversation. No sales qualifications.

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