Superintelligence Assurance

Verifiable control for consequential AI actions.

Ushtera makes a specific AI safety question testable: may this exact action run here, now, under the receiving system’s authority? Our full-stack assurance approach connects action-safety evaluations, an assurance software core, receiver integration and independent verification. A protected assurance processor is planned where hardware shows a measurable advantage.

Working software prototype and synthetic demonstrations. Customer evaluations being scoped. Hardware testbed planned.

RECEIVER CHECK INTEGRATED GATE
PROPOSED ACTIONExact proposed actionBound to its target and evidence
01Current state
02Authority
03Evidence
04Policy
05Inputs are current
SIGNED RECORDInspect independently
RECORDED
Exact actionLive conditionsEvidence bindingIndependent verification

The problem

AI is starting to act. Approval is not the same as control.

AI agents are being connected to production systems, compute infrastructure, instruments and robot fleets. A change that was right when someone reviewed it can be wrong when it runs.

An account scope may change, a compute job may exceed its approved limits, a protocol or firmware may be edited, or a call may fail without a known outcome. Model evaluations and identity systems help, but neither answers the release owner's question: should this exact action run now?

How it works

Proof before action.

The API advises. When installed at the customer's release point, the receiver enforces the decision and records the outcome.

01

Check

Evaluate the exact proposal against live state, authority, evidence and policy.

02

Decide

Return allow, block or escalate to a person.

03

Release once

With the receiver contract installed, release an approved action at most once, bound to the exact command.

04

Record

Record the outcome as applied, not applied or unknown. Hold unknown outcomes for review, never silently retry.

05

Verify

Check the signed record with a standalone verifier, without depending on the issuing engine.

Proprietary assurance stack. U.S. patent pending.

Where it runs

At the release step your team already owns.

A read-only evaluation can start without changing the command path.

01

The Assurance API reviews copies of proposed actions and advises allow, block or escalate. It cannot release, hold or alter commands.

02

Enforcement requires a receiver integrated at the existing scheduler or command gateway, inside a system the customer controls, after its own integration and security review.

03

The initial software evaluation requires no new hardware. A separate testbed will compare protected hardware implementations.

Evaluation paths

Choose one action worth assuring.

We will scope a read-only evaluation of one workflow and report decisions, false holds, latency and integration work against criteria set before the run. Start with a workflow description and, if useful, a synthetic example. No production data or confidential logs are needed for the initial inquiry.

Scope an evaluation

Enterprise agent actions

Test one agent-requested production or security action, such as a deployment change or account disable. Check whether its target, scope and authority still match the approval when the receiving system acts.

Explore this path

AI infrastructure operations

Test one experiment launch or cluster change. Bind its configuration, resource limits and approval to the submitted action, and preserve uncertainty when the submission outcome is unclear.

Explore this path

Autonomous science and physical systems

Test one instrument command or robot release against prerequisites, device state and timing. If an effect cannot be established, hold dependent work for review rather than silently retrying.

Explore this path

Each path starts with one named workflow, one receiving system, and a comparison against its existing controls.

For vendors

Build the check into the execution path you already own.

For agent platforms, infrastructure providers and equipment makers, Ushtera’s assurance core is designed to work at a release point your system owns. Your existing approvals, policies and interlocks remain part of the baseline.

We can demonstrate the software and standalone verifier on a synthetic workflow, map one integration boundary, and test whether the added check solves a problem your current controls leave open. An embedded license would follow a successful technical evaluation and separate commercial agreement.

Explore integration or licensing

Evidence

Built and measured.

Results below come from separate synthetic evaluations. They are not field performance estimates.

Preregistered synthetic fleet-release evaluation · September 2026 · 400 cases0 / 360

Faulty releases cleared

40 of 40 clean releases cleared
Synthetic exact-action acceptance suite · recorded October 1, 2026 · 324 cases0 / 255

Unsafe attack cases allowed

0 of 6 valid controls blocked

Working components: Assurance API, standalone certificate verifier, and a synthetic lab gateway with shadow and gated modes.

The vision

Toward Superintelligence Assurance.

The receiving system holds the authoritative state for its own release decision. That makes it the right place to check an AI-proposed action.

Our full-stack vision carries the same execution contract from evidence and policy, through the software release point, to an independently checkable outcome. We aim to extend that contract into protected hardware where customer tests justify it. Superintelligence Assurance is the long-term mission, with AI safety grounded in control over the systems that act.

The team

Experience where consequential decisions meet real systems.

Ushtera is built by an experienced team with backgrounds across the public and private sectors.

That experience informs our work on release decisions in settings where safety, security and regulatory requirements matter.

Get in touch

Tell us where an AI action reaches your systems.

Tell us the action, the receiving system, and what could change between approval and execution. If you own a platform or device, tell us which command path you control and what your current safeguards already do.

A synthetic example is welcome. Please do not send production data, credentials or confidential logs in an initial inquiry.

Or email contact@ushtera.ai

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