CognitivTrustThe execution engine for your AI agents
The Connected Foundation for Enterprise AI
Turn stalled AI pilots into shipped work.
One layer that connects your agents, tools and teams, and brings in a person only when a run needs one.
Agents execute isolated tasks, but scattered context and missing exception routing keep enterprise work fragmented.
What CognitivTrust does
Unify. Execute. Command.
Unify
One Model, Every Team
Product, Engineering, Security, and Ops work as one loop, without lost context.
- Bring your own or third-party agents
- Mix and match model providers
- Shared context powers every run
Execute
Outcomes, Not Just Answers
From AI intent to operational execution.
- Connect fragmented stack and legacy data
- Run multi-step actions, escalate edge cases
- Enforce policy, deliver auditable outcomes
Command
Autonomy on Your Terms
Set the limits. Trace every outcome.
- Spend, iteration, and escalation limits
- Fine-grained permissions and policies
- Immutable record of every action and why
How it works
Connect. Define. Run. Command.
Connect
Plug in the agents your teams already use, the tools they work in, and the knowledge they rely on.
Define
Describe how the work should run: the steps, which agent runs each one, and where it must stop. Start from a starter or in chat.
Run
Your agents execute every step end to end. CognitivTrust passes the context between them and keeps the run on its path.
Command
Approve where it matters, read the record of every decision, watch spend, and tighten the rules. Each run teaches the next.
Start here
Start with one process. Grow from there.
Pick a starter, run it on your own agents, then shape it to the way your team actually works.
Code review
Your review standards, your exceptions, run by your agents on every pull request.
VulnOps
From finding to verified patch, through your own review and release rules.
Spec to pull request
A product spec, broken down, coded, and reviewed in loops until it is merge-ready.
Release readiness
Code, security, and infrastructure checked in parallel, ending in one go or no-go.
Already use a review bot or a scanner? Keep it. Run it as one step and put your own rules, exceptions, and approvals around it.
Why CognitivTrust
AI Tools Enforce Their Process. CognitivTrust Encodes Yours.
Packaged AI works within predefined boundaries. Enterprise AI must work within your reality, connecting systems, navigating exceptions, and delivering measurable outcomes at scale.
A packaged AI tool
- The vendor's agent and the vendor's model
- The vendor's rules; your exceptions live in Slack
- Records what happened
- Stops at its own stage
CognitivTrust Execution Engine
- Your agents, your models, your keys
- Your exceptions are real paths, not footnotes
- Records what happened, who decided, and why
- Runs across stages and teams
You stay in command
Reliability by Design. Trust by Evidence.
Set where AI acts, where policy halts, and who governs the rules. Stop babysitting agent steps, build operational trust through predictable execution and verifiable provenance.
Gates and exceptions
Decide where a run must stop for a person, and which cases take a different path.
Autonomy you choose
Automate one step or most of the pipeline. The level is set per process, not by us.
Limits that hold
Caps on loops, iterations, and spend, so no agent runs on unchecked.
Access by role
Who can run, change, or approve — set by organization, project, and process.
The record
Which agent did what, how, and why. Every waiver and approval, with the person behind it.
Sovereignty
Your agents, your models, bring your own key. You pay your model provider directly — we never resell usage.
FAQ
Straight answers.
Does this replace our code review or vulnerability tool?+
That's your choice, process by process. Keep the tool and run it as one step with your own rules, exceptions, and approvals around it, or build the process on your own agents instead.
How much does AI do without a person?+
As much as you allow. Autonomy is set per process: one stage, several, or most of the pipeline. Anything you mark as a gate stops for a person, every time.
Where does the work run, and what do you store?+
The work runs on your agents and your models, with your own keys — not a vendor's reviewer. CognitivTrust stores what it needs to keep you in command: your Catalogue, the decision record, and run history.
How are model costs handled?+
You pay your model provider directly. We never resell usage. CognitivTrust shows token spend per process and per run, so you can see it fall as you refine.
Who is accountable when an agent acts?+
A person, on the record. Every run records which agent did what, which checks passed, and who approved, waived, or refused — and why.
Where do we start?+
With one process: code review or VulnOps. Start from the starter, run it on your agents, and widen once the record proves itself.
Start small. Command the outcome end‑to‑end.
Orchestrate Code Review & Vulnerability Ops. Run your agents. Own the outcome.