Enterprise Ready : VPC | On-Prem | Air-Gapped

Operationalize enterprise AI with measurable control, governance, and ROI

TrueFoundry gives Chief AI Officers a centralized operating layer for enterprise AI. Adopt models, agents, and AI workflows with consistent governance, operational visibility, and standardized controls across the organization.

Talk to an Expert

Book Demo

Built for leaders turning AI usage into repeatable enterprise value

Prove ROI on AI investments

Track adoption, token consumption, latency, spend, and workflow performance across teams so AI investment can be evaluated against real usage and outcomes

Standardize AI execution across the enterprise

Create a common operating model for how teams access models, route requests, apply prompts, and interact with agents instead of allowing every group to build its own stack

Reduce risk without slowing adoption

Enforce policy, access control, redaction, and auditability at the platform layer so teams can move quickly inside defined security and governance boundaries

One control plane for enterprise AI access, governance, and telemetry

Standardize model and tool access through a single gateway layer

Purple gradient square with white background, shiny surface, and rounded corners in rhombus shape.

Use the AI Gateway to unify how teams access models, agents, and MCP servers across business units, applications, and environments
Centralize routing, authentication, quotas, fallback logic, and access policies instead of embedding those controls separately into each application
Control how agents access tools, MCP servers, and enterprise systems through a governed interface rather than exposing credentials or backend systems directly

AI Gateway setup page with API provider and model selection options for OpenAI and others.

Measure AI usage, adoption, and spend with production telemetry

Capture prompts, responses, token usage, latency, error rates, routing decisions, and tool execution traces across every AI interaction
Break down usage by team, project, application, model, or workflow so AI investment can be reviewed with the same rigor as any other enterprise platform
Identify where AI is creating value, where costs are concentrated, and where operational inefficiencies are emerging before they become structural

Enforce governance policies at the runtime layer

Apply RBAC, approval flows, egress rules, redaction policies, rate limits, and usage restrictions centrally across LLM calls and agent workflows
Make governance programmable and repeatable instead of relying on manual reviews or application-by-application implementation
Log every request, policy decision, and tool interaction at the gateway so the organization can support audit, compliance, and incident review requirements

Support enterprise AI strategy without vendor lock-in

Operate multi-model, multi-cloud, and hybrid environments through one abstraction layer that preserves flexibility as business requirements change
Evaluate new vendors, new model families, or new agent frameworks without rebuilding governance, observability, or access controls for each addition
Preserve architectural optionality while maintaining consistent controls across the platform

Create the operating foundation for enterprise AI scale

Self-host in your VPC and apply enterprise security boundaries, audit requirements, and deployment controls without fragmenting the AI stack
Standardize how AI is introduced across teams so experimentation, rollout, monitoring, and governance happen through the same operational model
Reduce the overhead of managing disconnected point solutions while increasing consistency across the enterprise AI portfolio

Enterprise AI workflows you can standardize and scale on TrueFoundry

Enterprise knowledge copilots

Deploy RAG copilots connected
to internal systems

Search optimization agent

Coordinate workflows across systems like Salesforce, Jira, Slack, and internal APIs.

Internal AI platforms

Provide governed access to approved models, prompts, tools, and workflows across departments.

Workflow automation agents

Trigger actions across enterprise
systems with approvals and policy
enforcement.

Enforce compliance policies

Deploy AI systems handling sensitive data with centralized logging, redaction, and auditability.

Multi-agent systems

Coordinate specialized agents across retrieval, reasoning, and execution workflows with execution tracing.

Large gray quotation marks on white background, typography elements.

With TrueFoundry’s AI Gateway, we finally have one consistent interface for all model providers, policies, and telemetry. It eliminated the overhead of managing keys, routing logic, and scattered observability. Introducing new models is now just configuration. The Gateway has improved developer velocity, reduced DevOps burden, and helped us operate multimodel systems with real-time insights and governance.