The managed platform for governed AI agents
DeckCrew is building the infrastructure layer between AI models and business teams — role-based agents with persistent memory, governed execution, and managed hosting. We're raising a pre-seed round.
AI agents are moving from demos to production — but the governance layer is missing
Model access is commoditizing. The value is shifting to the orchestration, governance, and knowledge layer that makes agents safe and useful for real business operations. DeckCrew owns that layer.
- Models are table stakes OpenAI and Anthropic provide the intelligence. DeckCrew provides the structure that makes it deployable.
- Governance is the bottleneck Teams can't adopt AI agents without approvals, audit trails, and trust controls. Most tools don't offer this.
- Knowledge compounds The shared knowledge base creates switching cost and improves output quality over time — a defensible flywheel.
DeckCrew sits above the model layer: BYOK provider access, per-agent tool governance, four-lane memory with continuity attribution, and managed multi-workspace hosting.
Live product with differentiated architecture
DeckCrew is not a prototype. The platform includes AI-guided agent creation, a persistent soul and memory system, per-tool approval gates, execution telemetry, and a managed hosting layer with workspace isolation.
- Soul system Persistent agent personality with 20 trait dimensions, per-context overlays, and revision rollback.
- Four-lane memory Session, local, shared, and runbook memory with per-reply attribution. Agents improve over time.
- Governed execution Per-tool allowlists, identity trust gating, approval gates, and full execution telemetry.
- Managed platform Isolated workspaces, engine-managed orchestration, and zero DevOps for customers.
Engine orchestration, soul management with introspect/rollback, logbook with semantic retrieval, proactive presence scheduling, 10+ MCP integrations, and automated soul eval regression testing.
Pilot customers, working product, and a validated go-to-market
DeckCrew has active pilot customers using the platform for real workflows. The product is live, the onboarding flow is validated, and the go-to-market is focused on fast first-value for non-technical teams.
- Active pilots Real customers using DeckCrew for support, sales, and content workflows.
- Sub-3-minute setup Enter a website, pick a role, test a real task — validated in pilot onboarding.
- Repeatable positioning Role-based AI agents for business teams, grounded in company knowledge, safe by default.
Pilot validation covers AI-guided creation, website knowledge import, role templates for 5 business functions, and draft-and-approve execution flows.
What pre-seed capital accelerates
The foundation is built. Pre-seed investment accelerates the path from early pilots to repeatable revenue — tighter onboarding, stronger proof assets, and go-to-market execution.
- Product-market fit Convert 3-5 pilot customers to paying subscriptions with measurable workflow value.
- Onboarding and retention Reduce friction in first-run experience. Make the first 3 minutes feel effortless.
- Go-to-market Case studies, conversion optimization, and initial outbound for the next cohort of customers.
- Platform hardening Production readiness for self-serve onboarding and multi-tenant scale.
Investment primarily accelerates UX polish, knowledge import quality, onboarding instrumentation, proof asset production, and the infrastructure needed for broader self-serve adoption.
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