The control plane for enterprise-grade AI agent fleets.
Orchestrate multi-agent delivery with continuous guardrails, hard cost caps and an auditable trail behind every tool call. Take a product specification to production code without losing governance along the way.
- Specialized agents
- 61
- Core domains
- 10
- SDLC stations + hub
- 8 + 1
- Tool calls audited
- 100%
- Strategy & Research
- Design
- Architecture
- Development
- QA
- DevOps & Release
- Growth & Marketing
- Post-Launch & Feedback
- AStrategy & Research
- BDesign
- CArchitecture
- DDevelopment
- EQA
- FDevOps & Release
- GGrowth & Marketing
- HPost-Launch & Feedback
- HubGovernance & Orchestration
Enterprise orchestration
Why enterprise fleets need a governed control plane
Ad-hoc scripts and unversioned agent loops create token spend leaks, security vulnerabilities and legal exposure. XOOZLY wraps autonomous agents in deterministic, enforceable controls.
Deterministic guardrails
Every agent tool call passes one choke point — policy check, audit log, then connector dispatch. No domain can bypass it, so a misconfigured permission on one agent cannot cascade through the fleet.
- MCP tool gateway with per-agent, per-project scope grants
- Append-only audit record for every call, allowed or denied
Hard cost caps and FinOps
A project's cost cap is a hard limit checked before a run starts, not reconciled after it ends. Spend is tracked per span, and a breach pauses the run instead of invoicing you for it.
- Multi-provider routing by task class, not a single vendor
- Span-level spend tracking with auto-pause on breach
Human-in-the-loop control
The Rule Optimizer proposes; a person approves. Approval writes a new versioned rule file rather than mutating the old one, so every agent's behaviour stays reviewable and rollback-ready.
- Approval gates on the actions you choose, not all or nothing
- Versioned rule files with actor attribution on every change
Closed-loop architecture
The orchestration loop in action
Agents operate as specialized stations around the core hub. Every cycle leaves its own requirements trail: planned, executed, evaluated, fed back and optimized.
- 01Station A
Strategy & Research
Agents that research markets, competitors, and requirements before work begins.
Requirements · research briefs→ B - 02Station B
Design
Agents that produce UI/UX designs, wireframes, and visual specifications.
Tokens · mockups→ C - 03Station C
Architecture
Agents that define system architecture, data models, and technical design decisions.
ADRs · schema→ D - 04Station D
Development
Agents that write, test, and ship application code.
Commits · pull requests→ E - 05Station E
QA
Agents that test builds, find regressions, and verify quality before release.
Test runs · regressions→ F - 06Station F
DevOps & Release
Agents that build, deploy, and release infrastructure and application changes.
Releases · rollbacks→ G - 07Station G
Growth & Marketing
Agents that run campaigns, analyze funnels, and drive user acquisition.
Campaigns · funnels→ H - 08Station H
Post-Launch & Feedback
Agents that monitor production, gather user feedback, and drive iteration after launch.
Feedback · rule proposals→ A
Anchored by the Governance & Orchestration core hub
Category I routes between every station and holds the approval gates; Category J, Platform Intelligence, runs across all of them. Station H loops straight back to A, so feedback re-enters planning instead of ending in a report nobody reads.
Complete coverage
61 specialized agents. 10 core domains.
Every agent ships with a versioned rule file, a declared tool list and a risk tier. A declaration is never a grant: an agent can only call a tool a gateway policy has explicitly allowed in that project.
- Category A
Strategy & Research
Agents that research markets, competitors, and requirements before work begins.
4 agents
- Category B
Design
Agents that produce UI/UX designs, wireframes, and visual specifications.
3 agents
- Category C
Architecture
Agents that define system architecture, data models, and technical design decisions.
4 agents
- Category D
Development
Agents that write, test, and ship application code.
9 agents
- Category E
QA
Agents that test builds, find regressions, and verify quality before release.
9 agents
- Category F
DevOps & Release
Agents that build, deploy, and release infrastructure and application changes.
9 agents
- Category G
Growth & Marketing
Agents that run campaigns, analyze funnels, and drive user acquisition.
6 agents
- Category H
Post-Launch & Feedback
Agents that monitor production, gather user feedback, and drive iteration after launch.
4 agents
- Category I
Governance & Orchestration
Agents that enforce rules, review compliance, and coordinate the rest of the fleet.
7 agents
- Category J
Platform Intelligence
Agents that analyze platform-wide data and improve how the fleet itself operates.
6 agents
Enterprise trust and compliance
Rigorous compliance built into the runtime
Data is encrypted at rest with AES-256 and in transit with TLS 1.3. Standard tiers carry a 99.9% uptime SLA; Enterprise deployments carry 99.95%.
SOC 2 Type II
Independently audited controls over security, availability and confidentiality.
Certified · annual audit
ISO 27001
An information security management system covering the platform and its operations.
Enterprise grade
ISO 42001 (AI Systems)
The AI management standard, applied to how the fleet itself is governed and improved.
Active governance posture
GDPR · CCPA · DPDP
Data subject requests and legal holds are first-class operations, not a support ticket.
DSAR intake · legal holds
Audit logs are append-only, and no rule file version or invoice is ever mutated in place. Visit the Trust & Security Centre
Transparent model
Predictable per-seat licensing with transparent usage
Scale your agent capacity without unpredictable overage penalties. Pick a project ceiling, not a token budget — model spend stays bounded by your own cost caps on every tier, including the free one.
Developer Free Tier
Self-serveFor individual engineers evaluating orchestration loops.
Per-seat access
Bring your own Anthropic, OpenAI, Gemini or OpenRouter key — you pay the model directly, with no markup from us.
- Up to 3 concurrent projects
- The full 61-agent catalogue, all 10 domains
- The 8-station orchestration loop end to end
- Governed MCP tool calls — policy check, audit log, dispatch
- Per-project cost caps with auto-pause on breach
- Append-only audit log and execution traces
- Most popular
Team Control Plane
Team scaleFor teams running multi-agent loops in production.
Per-seat + usage-based
A pooled monthly allowance, bounded by the same hard cost caps as every other tier.
- Up to 25 concurrent projects
- Everything in Developer, plus
- Human-in-the-loop approval queue with Slack hand-off
- Rule Optimizer proposals and versioned rule files
- Span-level cost reporting and spend forecasting
- GitHub, Slack and Stitch connectors
- Workflow automation, webhooks and scheduled reports
- TOTP multi-factor auth and Google SSO
Enterprise Dedicated
CustomFor regulated organisations with strict data-residency needs.
Custom contract terms
Invoicing, MSA and SLA guarantees agreed per organisation and recorded against your org.
- Unlimited concurrent projects
- Everything in Team, plus
- Custom roles and permission groups
- Row-level tenant isolation across every project
- DSAR fulfilment, legal holds and RoPA tooling
- Org impersonation with a full audit trail
- 99.95% uptime SLA and priority incident response
Every tier enforces the same governance: no agent reaches a tool except through the gateway, and no run starts above its cost cap.