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Sentrely vs. TrueFoundry: Infrastructure-Level Gateway vs. Per-Agent Control Plane

TrueFoundry governs AI systems at the environment and team level — great for platform teams managing LLM infrastructure. Sentrely governs at the per-agent, per-resource level — designed for teams running autonomous Claude agents with real production access.

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Sentrely vs TrueFoundry — feature by feature

The short version. Scroll past the table for the full breakdown.

Feature
us
Sentrely
them
TrueFoundry
Per-agent (not per-team) RBAC
Per-resource action policies (AWS/git/tools)
Limited
Human-in-the-loop approvals
Audit trail of every tool call
LLM calls only
Multi-provider model routing & failover
Self-hosted ML platform
Model serving / inference deployment
VPC / on-prem deployment

What TrueFoundry Is

TrueFoundry is an enterprise AI platform with an AI Gateway component that covers LLM, MCP, and agent traffic under a single control plane. It governs at the environment level: which teams can use which models, cost controls per team or project, observability across your AI stack. TrueFoundry also provides the surrounding deployment platform — model hosting, fine-tuning, vector databases — making it a broader MLOps/LLMOps offering than a pure gateway.

What Sentrely Is

Sentrely is a managed control plane built specifically for Claude Code agents. It governs at the per-agent, per-resource level: claude-infra-01 can invoke specific ECS services but not modify IAM roles; claude-research-01 can read from approved S3 prefixes but not write; any push to main triggers a Slack approval gate before execution. Every action is logged to an immutable audit trail built for compliance auditors.

The Governance Level That Matters

The key architectural difference is where governance is applied.

TrueFoundry governs at the environment/team level. “The data science team can use GPT-4 and Claude 3.5 Sonnet. Their monthly budget is $5,000. Requests are rate-limited to 100 RPM.” This is infrastructure governance — appropriate for a platform team managing LLM access across an organization.

Sentrely governs at the per-agent/per-resource level. “This specific agent can push to feature branches, read from this S3 prefix, and call these Stripe endpoints — but any production deployment requires human approval.” This is operational governance — appropriate for teams running agents with real production access.

These aren’t competing — they’re different layers. But if your problem is “my Claude Code agents have too much access and I need approval workflows for high-risk operations,” TrueFoundry doesn’t solve that. Sentrely does.

CapabilityTrueFoundrySentrely
Governance granularityTeam/environment levelPer-agent, per-resource level
Multi-provider LLM support250+ modelsClaude Code focused
Model hosting + fine-tuningYes — full MLOps platformNo
MCP gatewayYesIntegrated
Per-agent RBAC (git, AWS, APIs)NoYes
Human approval gatesNoYes — Slack + Telegram
Immutable compliance audit trailObservability focusSOC 2 / HIPAA designed
Claude Code specificNoYes
Self-hosted / on-premisesYesEnterprise VPC tier
Managed cloudYesYes
PricingEnterprise (not listed)Starter $49/mo

When TrueFoundry Makes Sense

TrueFoundry is the right choice when:

  • You need a full MLOps platform (model hosting, fine-tuning, vector DB) in addition to a gateway
  • Your primary concern is LLM access management across multiple teams and models
  • You want on-premises deployment with enterprise support contracts
  • Environment-level governance (team budgets, model allowlists) covers your compliance needs

When Sentrely Makes Sense

Sentrely is the right choice when:

  • Claude Code agents are accessing real production infrastructure — git repos, AWS, APIs, databases
  • Individual agents need different permission scopes that aren’t captured by team-level access control
  • Specific operations (production deploys, data deletion, customer communications) need human approval before execution
  • You need per-agent audit evidence that satisfies SOC 2 or HIPAA requirements
  • You don’t need the broader MLOps platform, just the governance layer

The Scope Question

TrueFoundry is a platform that includes a gateway. Sentrely is a gateway built for a specific, hard use case: autonomous agents with real production access that need tight governance.

If you need the full MLOps stack and governance is one of several requirements, TrueFoundry is worth evaluating. If your problem is specifically “Claude Code agents in production with controlled access, approval gates, and compliance trails,” Sentrely is purpose-built for exactly that.

Frequently asked questions

Common questions about Sentrely vs TrueFoundry.

Is Sentrely a TrueFoundry alternative?

For pure agent governance, yes. TrueFoundry is a broader ML platform that includes an LLM gateway, model serving, and infrastructure orchestration. Sentrely is purpose-built for the agent governance slice — RBAC, approvals, and audit at the per-agent level. If you need a full ML platform, TrueFoundry. If you're focused on Claude/Cursor/Codex agents, Sentrely.

Why pick Sentrely over TrueFoundry's gateway?

Granularity. TrueFoundry governs at the team/environment level — good for platform engineering. Sentrely governs at the per-agent, per-resource level — necessary when you have autonomous agents touching production. Different problems, different tools.

Can I use both?

Yes. Many enterprises use TrueFoundry for ML/model infrastructure and Sentrely as the agent-specific governance layer. They sit at different parts of the stack.

Does Sentrely deploy in our VPC like TrueFoundry?

Yes — Enterprise plan includes VPC deployment. The gateway can run in your AWS/Azure/GCP account, with audit logs streaming to your own S3.

What about model serving and inference deployment?

Out of scope for Sentrely. We're a gateway, not a model serving platform. If you need to host your own models, TrueFoundry, BentoML, or KServe are better fits. Sentrely sits in front of whichever inference layer you choose.

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