Guardrails OS transforms enterprise data, systems, and rules into governed AI agents with traceability, control, and repeatable economics.
Enterprise teams are deploying AI chat tools and hitting the same wall: impressive demos, no production workflow. The gap between a model and a governed business process is enormous — and currently unbridged.
Without the infrastructure layer, every AI project restarts from zero. Compliance, auditability, and system integration remain manual burdens that erase ROI.
LLM outputs require human interpretation and manual action — no workflow is automated.
Every session starts fresh. No memory, no state, no continuity across complex multi-step tasks.
No policy enforcement, no approval gates, no controls over what agents can do or say.
Regulated industries need traceable decision logs. AI chat provides none.
AI outputs float disconnected from your ERP, CRM, data lakes, and operational systems.
Proof-of-concepts stall at 80%. Getting AI safely into production is an engineering mountain.
Guardrails OS sits between raw AI models and real business execution — providing the governance, memory, and orchestration that enterprises require.
Multi-step processes that persist across sessions and handoffs
Deterministic controls applied at every decision point
Every action logged, attributed, and retrievable for compliance
Nine production-grade capabilities that every governed AI system requires — pre-built, tested, and shared across every vertical you launch.
Role-based agent permissions with SSO, MFA, and tenant-scoped access policies enforced at every call.
Persistent context across sessions. Agents recall prior decisions, documents, and user preferences with retrieval-augmented precision.
Intelligent dispatch across GPT-4, Claude, Gemini, and open-source models based on task type, cost, and latency targets.
Stateful multi-step pipelines with branching, parallel execution, error handling, and human handoff points.
Secure, sandboxed integration with APIs, databases, file systems, and enterprise SaaS — with rate limiting and audit logging.
Configurable approval gates that pause agent execution and route decisions to the right human stakeholder.
Immutable, timestamped logs of every agent action, decision, and data access — exportable for regulatory compliance.
Declarative rules that govern what agents can output, access, and execute — with real-time enforcement and override alerts.
Agents that reason over SQL databases, document repositories, PDFs, emails, and real-time feeds in a unified context window.
Guardrails OS is the reusable infrastructure beneath every vertical AI product. The first vertical funds the platform. Every vertical after that launches faster and cheaper.
Traditional vertical SaaS requires a full platform rebuild for every market. Guardrails OS flips the model — shared infrastructure creates compounding returns as each new vertical adds market coverage at a fraction of the first-product cost.
Talk to Partnerships →Security, memory, and governance built once and inherited by every product.
Cross-vertical insights strengthen each agent as the platform scales.
New verticals ship in weeks, not quarters. Domain config replaces engineering.
Each product launch carries less overhead than the one before it.
One platform serves legal, finance, ESG, insurance, and any future vertical.
Partners license the platform, creating recurring infrastructure revenue.
Guardrails OS was designed from day one for regulated, high-stakes environments. Every control is configurable, auditable, and enforced at the infrastructure level.
Hard boundaries between customers. No data cross-contamination at the infrastructure or model layer.
Deploy on-premises, in your VPC, or hybrid. Your sensitive data never leaves your environment.
Every API call, model invocation, tool use, and user action recorded with tamper-evident timestamps.
Configurable spend limits, action boundaries, and escalation triggers that require human sign-off.
Hard-coded rules that override model outputs when critical constraints are triggered.
Granular RBAC across agents, tools, data sources, and output channels — enforced at runtime.
Real workflows running on the platform today — spanning multiple industries and deployment models.
AI-governed Phase II ESA reporting. Agents produce audit-ready environmental assessments with full traceability and regulatory compliance built in.
Multi-source data fusion agents that generate structured financial reports, flagging anomalies and routing exceptions to human reviewers.
Accounts payable, invoice validation, and approval routing — governed agents that integrate directly with ERP systems and preserve audit trails.
Document classification, extraction, and routing pipelines that replace manual processing with governed, auditable AI execution.
Partners deploy Guardrails OS under their own brand. Full platform access — identity, memory, orchestration, governance — licensed as infrastructure.
Legal, insurance, procurement, ESG — any domain with complex workflows, regulatory constraints, and high audit requirements is a fit.
Don't build the infrastructure stack from scratch. License Guardrails OS and go to market with a production-grade governed AI product — in weeks, not years.
Embed AI into client deliverables
Add governed AI to existing products
Automate services at governed scale
Deploy AI within your own vertical
Identity, memory, orchestration, governance, audit trails — everything you need to ship a governed AI product under your brand.
Domain configuration over platform engineering. Your team focuses on vertical differentiation while we maintain the core.
Straightforward infrastructure licensing with usage-based pricing. Lower cost than building your own stack, higher margins than traditional SaaS.
Whether you're an enterprise buyer, OEM partner, or investor — let's show you what production-grade governed AI actually looks like.