AI safety infrastructure

Dwarrow

Guardrails for serious AI systems.

Dwarrow builds AI safety infrastructure for teams that need more than a demo: policy-aware classification, reviewable evidence, and deployment controls that can survive real operations.

GovernableControls designed around policy, accountability, and human review.
Evidence-ledClassifier decisions should leave traces that engineers and reviewers can inspect.
Production-mindedBuilt for clear boundaries, private deployments, and operational handoffs.
Flagship product

ModelShield

An advanced guardrail classifier for AI applications that need to classify risk, route uncertain cases, and create an audit trail around model behavior.

Prompt injection probeReview
Policy violation riskBlock
Routine requestAllow
Policy class, confidence, rationale, and routing metadata.
Classify
Risk categories and policy domains.
Route
Allow, block, warn, or escalate.
Audit
Keep decisions legible after deployment.

What we build

A focused company for AI control surfaces.

Dwarrow turns hard safety, classification, and workflow problems into products with explicit behavior and maintainable infrastructure.

In development

ModelShield

An advanced guardrail classifier for LLM applications, agents, and automated workflows. Built to support risk classification, policy mapping, human review, and deployment-time observability.

View product direction

Access

Dwarrow Console

Invite-only access for Dwarrow apps, internal tools, partners, and client-facing workflows.

Console login

Applied research

Safety engines

Research-grade components with explicit constraints, testable behavior, and practical deployment paths.

How we work

Operating principle

Safety work should be boring in production.

Dwarrow is building toward guardrail systems that are inspectable, tunable, and clear about their limits. No magic claims; just stronger control surfaces for teams deploying AI.

See fit criteria