Pricing

30 years of engineering leadership.
Encoded as governance.

Not a dev tool — a governance layer that prevents the catastrophes AI development creates. Self-serve for your team, or matched with a trusted operator.

Growth
$5,000/mo
$50,000/yr — save $10,000

For scaling teams shipping production software who need governance, UAT, and evidence tracking.

  • Up to 5 projects & repos
  • 3 operator seats
  • 80 governed AI hours/month
  • MCP server with CLAUDE.md enforcement
  • Session context preservation (97%)
  • Safety hooks on all tool calls
  • ADR management & drift detection
  • UAT checklist generation
  • Evidence auto-wiring to milestones
  • Weekly status reports (auto-generated)
  • Burn & economics tracking
  • Priority support
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Enterprise
Custom
Starts at $20,000/mo

For companies spending $1M+ on engineering who need AI transformation with governance — not just tooling.

  • Unlimited everything
  • Dedicated infrastructure
  • Custom governance policies
  • SSO & role-based access control
  • HIPAA / SOC2 compliance configuration
  • Custom MCP tool integrations
  • Governance policy API
  • Multi-tenant team isolation
  • Executive dashboard & board reporting
  • Quarterly governance reviews
  • Dedicated account manager
  • SLA with uptime guarantees
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Partner
$5,000/pod per month, per active pod
Founding rate — locks for 12 months

For agencies and dev shops running AI transformation pods across multiple clients. Your CTO in a box.

  • 3 seats per pod (PM + 2 engineers)
  • 120 governed AI hours per pod
  • Multi-tenant client isolation
  • Governance consistency across all pods
  • Shared learning rules & pattern library
  • Per-pod burn tracking & economics
  • Client-facing status reports per pod
  • Operator onboarding (4 hrs/pod)
  • Volume discounts at 5+ pods
  • Dedicated partner support channel
  • Co-marketing & case study opportunities
  • Early access to platform features
Apply for Partner →
$200K+
Annual cost of fractional CTO this replaces
4× rebuilt
Average times teams rebuild AI orchestration without governance
97%
Context preserved across sessions — zero re-explaining

The governance layer makes it all work

Whether you self-serve or use the marketplace, every action goes through the same production-grade governance stack.

Governed Actions

Every MCP tool call is logged, attributed, and tracked against engagement milestones. Nothing happens in the dark.

Evidence Auto-Wiring

Session artifacts automatically connect to acceptance criteria. Proof that what was built matches what was specified.

UAT Generation

Deployments auto-generate client-facing test checklists. Your clients verify quality independently of who built it.

Context Preservation

97% context preserved across sessions. New operators pick up exactly where the last one left off.

Trust Scores

Operator compliance rates, UAT pass rates, and delivery metrics — all computed from real governance data, not self-reported.

Container Isolation

Enterprise clients get cryptographic isolation. Your operator physically cannot access another client's code or data.

The operator experience

What your operator sees — with and without The Collective.

Without Collective
$ claude
Claude: I don't have context about
this project. Can you share the codebase
structure and what you're working on?

$ // 20 minutes later, still explaining
$ // no governance, no audit trail
$ // client asks "what did you ship?"
$ // ...scrambles through git log
With Collective
> collective_status

 TrueTime Health — 3 items ready
  P0 Fix auth middleware     READY
  P1 Add regression tests    READY
  P2 Update API docs         BLOCKED

Context: 97% preserved from last session
Governance: CLAUDE.md loaded (35 rules)
Evidence: auto-wiring to Milestone 3

Questions

Why is this priced like a service, not a SaaS tool?

Because it replaces one. A fractional CTO costs $15–25K/month. Enterprise governance platforms cost $10K+. The Collective encodes 25+ years of engineering leadership into governance rails that prevent production disasters, enforce quality standards, and provide audit trails. That's not a $50/seat dev tool — it's infrastructure that makes AI development trustworthy.

What's the difference between platform and marketplace?

The platform is self-serve — your team uses The Collective's MCP tools directly in Claude Code. The marketplace matches you with vetted operators who use the platform on your behalf. Same governance stack, different operating model.

What are "governed AI hours"?

Hours where The Collective is actively governing a Claude Code session — enforcing CLAUDE.md rules, logging actions, tracking evidence, preserving context. When you exceed your included hours, overages are $25–35/hour depending on tier. Your cost to run ungoverned is $0, but the risk of a production database deletion or security breach is infinite.

How does the Partner/pod pricing work?

You pay per active pod per month. A pod is typically a product manager and 1–2 AI engineers working on a client engagement. Each pod gets its own governance instance, client isolation, and reporting. Volume discounts kick in at 5+ pods. The founding partner rate of $5,000/pod locks for 12 months.

What if I want to switch operators?

The Collective preserves 97% of session context, and governance rules live with the project — not the operator. A new operator connects to your project and picks up where the last one left off. No re-explaining, no lost work.

Can I start smaller and scale up?

Yes. Growth tier works for teams of 2–3. As you add projects and operators, you'll naturally graduate to Scale. Partner customers can start with a single pod and add more as they win client engagements. We also offer 14-day trials on Growth and Scale.

What does the 15% operator marketplace fee cover?

Governance infrastructure (MCP server, session logging, CLAUDE.md enforcement), client matching, payment processing, trust verification, and dispute resolution. Operators keep 85% of what clients pay.

Production software. Governed. Verified.

Not vibe coding. Not a freelancer marketplace. The infrastructure that makes AI development trustworthy.

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