Agents that prove themselves.

The only agentic platform where every action is cryptographically chained, independently verifiable, and audit-ready by default.

ScenarioCustomer requests refund for order #4521

How Kentron works

Follow one request as it flows through all four layers — routed, enriched, executed, and audited.

01
LLM GatewayRoutes every model call through a unified, policy-aware layer.
02
MCP GatewayWires agents to tools and data sources with a single fabric.
03
Agent HarnessRuns agent workflows with full step-by-step execution control.
04
Agent GovernanceEnforces policy on every action and writes an immutable audit trail.
LLM Gatewayorder #4521
Request
"Refund customer for order #4521"intent: refund
Available models
ModelLatencyCost / call
GPT-4oOpenAI
42ms$0.0024
Claude 3.5 SonnetAnthropic
38ms$0.0018
Gemini 1.5 ProGoogle
51ms$0.0015
Routed to Claude 3.5 Sonnet — lowest cost within latency SLA
Receipt: AI Coworker

An AI coworker for every question

Kentron operates through your connected systems — CRM, data warehouse, policy engine — and backs every answer with a replayable receipt. Ask anything; the evidence follows.

  • Post an objective in Slack or the workbench — no workflow to draw first
  • It operates through your connected systems, with evidence attached as it goes
  • Every material step is a receipt: typed, immutable, and replayable later
Sarah Kim9:14 AM

@Kentron AI reconcile last week's AWS spend against budget

Kentron AIApp9:14 AM

Done. Here's the reconciliation:

AWS Spend Reconciliation
Week of Sep 9–13 · us-east-1
42
Resources reviewed
2
Anomalies found
2 anomalies flagged for review — within acceptable threshold
View receipt →Verified by Kentron
MCP Gateway

One gateway for every MCP connection

Connect any AI agent to any tool through a single governed endpoint. Kentron authenticates each call, applies policy, and records what happened, so MCP stays fast for developers and auditable for security.

LLM Gateway

Route, log, and govern every model call

Every request to every model provider passes through one checkpoint. Kentron routes it to the right model, applies your policy before it leaves, and keeps a record of what was asked and answered.

  • One endpoint for every model provider, with routing by cost, latency, and policy
  • Policy checks run before a request leaves: PII, prompts, spend, and rate limits
  • Every call is logged with its prompt, response, cost, and the policy decision
Requests inDecision out
  • Policy
    12 rules active
  • Rate limits
    38% of quota
  • Audit log
    100% logged

Works where your team already works

Kentron surfaces policy checks and agent receipts directly in Slack and Microsoft Teams — no dashboard required.

agent-runs
MessagesAdd canvas
Alex Chen9:32 AM

Morning both! Did the nightly build finish? ☕

Sam Rivera9:34 AM

It did, all green. I also updated the release notes, take a look when you get a sec.

Jordan Ellis9:35 AM

Will do. Thanks Sam, that saves me a ton of time 🙌

Alex Chen9:37 AM

Nice. I'm wrapping up the config change for the EU region, should be ready to merge before lunch.

Sam Rivera9:38 AM

Perfect. Lunch is on me if it ships today 🍜

Use Cases

Built for the way each team works

Kentron works inside the systems every team already runs, and attaches evidence to each step it takes.

  • Engineering

    The on-call work between the alert and the fix

  • Customer Support

    Tickets answered with the system of record, not a guess

  • Sales

    A clean CRM and a briefed rep, without the admin hour

  • Marketing & Growth

    Numbers reconciled across every channel, with the rows attached

  • Finance & RevOps

    Close faster, and be able to prove every number in it

  • IT & Security

    Access reviews, offboarding, and evidence that holds up

  • Data & Analytics

    Pipelines that heal, and metrics you can defend

  • Product

    Evidence for the roadmap, gathered continuously

  • People & HR

    Onboarding, reviews, and the paperwork behind both

  • Founders & Leadership

    The company's real numbers, without asking four people

LLM GatewayModel routing layer
MCP GatewayContext & tool fabric
Agent HarnessExecution control plane
Agent GovernancePolicy & audit layer