AI-driven engineering at scale.
Without the coordination chaos.
Your engineers already use Cursor, Copilot, Claude Code. LoomStack is the orchestration layer above all of them — connecting your AI toolchain into a single governed, auditable system.
PR review time without coordination (Faros AI)
Multi-agent tasks without orchestration (CooperBench)
Per PR without coordination infrastructure
Per developer with uncoordinated AI tools (2026)
Platform
Four layers that close the coordination gap.
Shared organizational context
One memory graph across all teams, services, and repositories. Instead of 200 AI sessions with 200 fragmented contexts, every agent operates from the same source of truth — architecture, ownership, constraints, incident history.
Intelligent review routing
The Policy Engine classifies risk on every change and routes accordingly. Minor changes auto-merge. Medium-risk surface for async review. High-risk require approval. Reviewers see only what actually needs their judgment.
Enterprise governance controls
Approval chains, RBAC, audit trails, and policy enforcement built into the execution model — not added after. Change management requirements that existed for human engineering are preserved at AI pace.
Organizational learning
Patterns surface over time: which changes cause incidents, which services are fragile, which workflows need tighter policy. Recommendations go to your platform team. Your team decides.
How it works
A ticket comes in. Here's what happens.
LoomStack turns a signal into a governed workflow — with risk classification, context injection, and human checkpoints placed dynamically based on your org configuration.
Signal intake
Orchestration Engine · < 5s
Jira ticket, Slack command, or monitoring alert arrives. LoomStack parses intent, checks for cross-workflow conflicts, and uses your org config to classify affected services and criticality.
Context retrieval
Context Layer · < 2s
Pulls service ownership, architecture dependencies, recent incident history, coding standards, and team review preferences from the organizational memory graph.
Risk classification + workflow plan
Policy Engine · < 3s
Risk evaluated across service criticality, change scope, affected dependencies, and environment. Workflow DAG generated: which agents run, in what order, with what human checkpoints.
Agent execution
Spec Agent · Code Agent · Test Agent
Spec, code, and test agents run with full organizational context. Tests derive from the spec, not from the generated code. Parallel where possible, sequential where dependencies require it.
Validation + policy gate
Governance Layer
Test execution, security scan, semantic conflict detection. Risk re-evaluated with new signals. Policy engine determines: ship autonomously, async review, or human approval before proceeding.
Deployment + observation
Deploy Agent · Observability
Canary for high-risk services. Direct deploy for low-risk. 72-hour observation window correlates production signals to this change. Outcomes feed back into policy calibration.
Governance
Risk thresholds you define. Enforced at every step.
Policies are declarative, versionable, and overridable with a logged reason. They apply per service, per team, or per change type.
Deployment
Runs wherever your data needs to stay.
LoomStack doesn't require replacing your existing toolchain. It connects into it from above.
Managed cloud
Fastest to deploy. SOC 2 Type II in progress. Best for teams that want to move fast without infrastructure overhead.
Self-hosted
Kubernetes + Helm in your own cloud. Data never leaves your environment. Full control over your security perimeter.
Hybrid
Control plane managed or on-prem. Execution agents and audit logs always in your environment.
Adoption
Incremental adoption. Compounding value.
Visibility
Week 1Connect LoomStack to your existing tools. Immediate visibility into what AI agents are doing, what workflows are running, where coordination breaks down.
Coordination
Month 1Introduce the Context Layer. Begin routing low-risk workflow types through the Orchestration Engine to validate the model without disrupting critical paths.
Governance
Month 2–3Layer in Policy Engine rules and Governance controls. Expand to higher-risk workflows. Build organizational confidence that AI execution is governed and auditable.
Scale AI engineering without scaling chaos.
Not ready for self-serve? Our Co-Build embeds the LoomStack team directly with your org for 12–16 weeks to build and deploy orchestration on your infrastructure.