Enterprise AI control plane

One control plane.
Every model.
Every dollar.

TetherLLM gives enterprises one governed access layer for every LLM and agent—enforcing policy before spend, tracing outcomes after, and keeping provider choice open.

Design your control plane See how it works
01

Keep your providers, applications, and workflows. Change the access layer—not the way your teams work.

LIVE REQUEST PATHjob_7F3A91
LIVE
A
support-agentprod / customer-ops
$0.018
01
Identity + attributionTeam, project, agent, session
VERIFIED
02
Policy + budgetReserved against monthly limit
PASSED
03
Capability routingAlias: approved-reasoning
ROUTING
Selected providerVertex AI / Gemini 2.5 Pro
842ms latency97% policy confidence
CONTENT MODERedactedCOST STATUSReserved

One governed layer across

OpenAIAnthropicAzure OpenAIAmazon BedrockGoogle Vertex AIPrivate endpoints
01 / THE THESIS

AI adoption moved fast.
Control didn’t.

When every team buys models, builds agents, and retries work in a different tool, finance sees invoices—but nobody sees the system.

TetherLLM sits in the request path and owns the canonical record. It connects identity, policy, routing, attempts, outcomes, and cost without forcing your enterprise into a lowest-common-denominator API.

WITHOUT TETHERProvider silosSurprise invoicesOrphaned agentsPolicy after the fact
WITH TETHEROne access layerPre-request controlOutcome-level traceabilityProvider choice preserved
02 / THE PLATFORM

Govern the request.
Understand the outcome.

The gateway makes the real-time decision. The ledger and analytics explain what happened next. Both speak the same canonical language.

01Budget check: passed

Policy before spend

Stop runaway cost before the request leaves.

Enforce budgets, model access, provider policy, token limits, concurrency, and rate rules at the gateway—not in a report that arrives next week.

02Variance: −2.8%

Defensible accounting

Know what every AI dollar actually did.

Attribute requests and retries to the right tenant, department, project, application, agent, and user—with reserved, estimated, provider-reported, and reconciled cost kept distinct.

03Trace: 8 linked events

Agent governance

Treat agents like production software.

Give every agent an owner, version, permission scope, trace, evaluation history, and kill switch. Follow the whole job across tools, retries, fallbacks, and providers.

04Context health: 82

Context intelligence

Optimize for outcomes—not fewer tokens.

Explain when a conversation should continue, branch, compact, summarize, or start fresh based on observable context health, cache behavior, cost, and task success.

03 / OPERATIONAL TRUTH

A ledger, not a dashboard veneer

Estimated cost is not actual cost.

TetherLLM preserves provenance from the first reservation to the final provider reconciliation. Teams can forecast quickly without asking finance to trust an approximation forever.

  • Every retry and fallback remains linked to the logical job
  • Effective-dated provider pricing prevents historical drift
  • Chargeback data stays attributable and auditable
AI SPEND / JULY$184,290.44
92% RECONCILED
STATUSAMOUNTAS OF
Reconciled$169,547.2111:40 UTC
Provider reported$9,802.8811:37 UTC
Estimated$4,940.35Live
04 / YOUR BOUNDARY

Run it where trust requires.

One versioned deployment cell. Two operating models. Your prompts, provider credentials, detailed usage, and policy remain inside the customer boundary.

A

Tether-hosted dedicated

Isolated application, secrets, data resources, keys, backups, and upgrade channel for your organization.

B

Customer-managed

Deploy the same release in your cloud or data center, with connected or restricted-egress operating profiles.

OIDC + SCIM◆Audit evidence◆Configurable retention◆Regional cells◆Customer-managed keys

Make AI governable before it becomes unmanageable.

Let’s map your
control plane.

Bring your current provider mix, agent portfolio, and biggest cost or governance question. We’ll use a 30-minute working session to outline the right deployment boundary and first control points.

FASTEST PATH

Book a discovery briefing

Open Google Calendar to choose or propose a time with the TetherLLM team.

Open scheduling calendar Calendar owner: contact@pdxintelligence.com
Prefer async?Tell us what you’re solving.