Cybertech
Cybertech's LoopGrid is an evidence plane for AI agents: it captures agent identity, delegated authority, model and policy context, human oversight, external action and observed outcome, then seals those events into portable, independently verifiable evidence. It is designed to prove what happened around consequential AI decisions without replacing the runtime or workflow engine.
At a Glance
- Teams deploying consequential AI agents
- Financial services and fintech workflows
- Insurance and claims operations
- Lending and risk teams
- +3 more
AI Tools by Cybertech
(1)
LoopGrid
AI Agent Decision Audit Records
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Latest News
LoopGrid LangChain integration listing request opened, describing the loopgrid-langchain middleware package and documentation.
LoopGrid Mastra integration issue opened for verifiable decision evidence for Mastra agents.
LoopGrid announced its Microsoft Agent Framework integration, LoopGrid Microsoft Agent v0.1.0, with middleware-based decision evidence, approval/outcome records and cryptographic verification.
Pydantic AI third-party capability listing proposed for pydantic-ai-loopgrid under Decision Evidence & Verification.
Products & Services
SDK/API-first infrastructure for capturing, sealing, investigating and proving consequential agent decisions. It provides REST, Python and TypeScript/JavaScript SDKs, OpenTelemetry/OTLP and MCP paths, append-only signed history, privacy modes, portable evidence bundles and an offline verifier.
Browser-local synthetic demo showing agent context, policy and review, tool action, evidence proof and observed outcome across workflows such as refunds, mortgage income, insurance reserves and enterprise access.
Published or documented adapters for Dify, n8n, Langflow, Jev, Strands Agents, Google ADK, Vercel AI SDK, OpenAI Agents SDK, Haystack, CrewAI, Microsoft Agent Framework, Pydantic AI, Claude Agent SDK, Mastra, LangGraph, LangChain and Agno.
Market Position
LoopGrid positions itself as a decision-evidence plane rather than another execution runtime, observability trace viewer or workflow engine. Its differentiators are preserving accountability around the decision boundary, signing an append-only record across authority/policy/review/action/outcome, separating evidence from sensitive disclosures, and enabling verification outside the LoopGrid UI; it explicitly says customers can keep n8n, Zapier, LangGraph or their own runtime.
Founding Story
The public materials frame LoopGrid as infrastructure created to preserve accountability around consequential AI actions rather than only telemetry. Its initial vision is to let an auditor, security team, customer or CI pipeline export and independently verify a signed record of why an action was allowed, what ran and what outcome occurred.
Business Model
Revenue Model
The stated long-term model is a platform subscription plus verified decision volume, retention and enterprise trust features. The planned production model is a platform subscription with included decision volume, volume overage, retention/trust/private-deployment features, and enterprise options such as KMS, SSO, SCIM, VPC and SLA.
Pricing Tiers
Local or self-hosted evaluation, REST and SDK paths, demo workspace, portable bundles, offline verifier and privacy-mode evaluation; preview access with no production SLA.
One consequential workflow with founder support, agreed success criteria, policy and human-review evidence, action/outcome evidence, export and offline verification.
Typically 8–12 weeks; 1–3 workflows, PostgreSQL deployment path, hardened-auth/RBAC target, KMS/signer-boundary validation, retention review and security/production-readiness review.
Target Markets
- Teams deploying consequential AI agents
- Financial services and fintech workflows
- Insurance and claims operations
- Lending and risk teams
- Enterprise security, audit, governance and compliance teams
- Customer support and voice-AI operations
- Refunds, claims, fraud and financial transactions
- Loan, income and risk workflows
- Enterprise records, permissions and back-office state changes
- Voice and customer-operations calls that trigger business actions
- Audit, incident, customer-dispute, regulatory and investigation workflows
- Any agent workflow that can move money, change records, create permissions, communicate with customers or invoke state-changing tools