The operating layer for AI-native engineering.
Five integrated components designed to transform AI-assisted development from individual velocity gains into governed, coordinated, organizational-scale execution.
Orchestration Over Generation
Code generation is commoditized. Workflow coordination is strategic. LoomStack is the layer above the AI — not another AI tool.
Context Is the Core Primitive
AI systems fail when they lack organizational context. Every LoomStack component is built on top of a persistent organizational memory graph.
Adaptive, Not Binary
Autonomy isn't all-or-nothing. LoomStack allows organizations to dial in exactly where AI executes independently and where humans stay in the loop — by service, by risk, by team.
Five integrated components. One coordinated system.
Orchestration Engine
The config-driven workflow runtime that uses your org config to route tasks between agents, humans, and systems. Composes the right workflow for each change; triggers human checkpoints at any step where risk crosses your thresholds.
Explore Orchestration Engine- Config-driven workflow composition from org config + signals
- Multi-agent task routing and sequencing
- Dynamic human checkpoints at any workflow transition
- Workflow state persistence and resumability
Context Layer
Persistent organizational memory that every LoomStack agent operates from. Solves the statelessness problem — agents know your architecture, ownership, and history.
Explore Context Layer- Organizational memory graph (architecture, ownership, decisions, incidents)
- Context retrieval and injection for agent workflows
- Historical pattern learning and retrieval
- Integration with GitHub, Jira, Slack, observability systems
Policy Engine
Risk-based rules that determine when AI acts autonomously and when humans must intervene. Channels AI execution — ensuring confidence flows through automatically while critical changes get oversight.
Explore Policy Engine- Risk classification by service, change type, and scope
- Configurable autonomy thresholds per team, service, environment
- Escalation routing to the right human reviewer
- Policy auditing and override logging
Observability Layer
Full traceability from feature request through agents, PRs, deployments, and incidents. Nothing is a black box — every AI decision is logged, attributed, and auditable.
Explore Observability Layer- End-to-end workflow tracing (request → agent → PR → deploy → incident)
- Agent decision logging (what information each agent used and why)
- Production correlation (deployment → SLI changes → incident triggers)
- Replay and diff capabilities for post-incident analysis
Governance & Compliance
Audit trails, RBAC, approval chains, and compliance-ready controls for enterprise engineering. Every change is logged, attributed, explainable, and auditable.
Explore Governance & Compliance- Immutable audit trail for all workflow events
- Role-based access control for workflow policies and approvals
- Approval chain enforcement with escalation
- Compliance-ready reporting (designed for SOC 2, HIPAA, GDPR)
Built for enterprise engineering organizations.
LoomStack's platform is designed as an orchestration layer that operates above your existing stack — not replacing GitHub, Jira, or your CI/CD system, but coordinating them.
- Designed to deploy as a managed cloud service or self-hosted
- Connects to existing tools via webhooks and APIs
- No changes required to your existing CI/CD or repos
- Incremental adoption — start with one workflow, expand over time
Ready to coordinate AI-driven engineering safely at scale?
Five integrated layers designed to transform AI-assisted development into governed, coordinated execution.