VIHABOUNDED AI SYSTEMS Open console

MEET THE VIHA EXECUTION LAYER

Intelligence with
an operating contract.

VIHA translates process intent into precise physical or digital action. Probabilistic models handle variability; deterministic controls decide what is allowed to execute.

Enter execution console See the architecture
01 / PURPOSE

Built for bounded objectives

One workflow, explicit acceptance criteria, known authority, and a measurable operating result.

02 / METHOD

Probability inside determinism

Use the best-fit model for uncertain decisions, then govern execution with rules, gates, and tolerances.

03 / OUTCOME

Precision under variability

Adapt to changing inputs without giving up repeatability, traceability, or production-grade control.

THE BOUNDED DECISION HOOK

Before anything moves,
the system must earn permission.

The hook sits between intelligence and action. It turns context into a typed decision, evaluates the operating contract, and either releases, holds, or stops execution.

V DECISION HOOKDEMONSTRATION / SYNTHETIC DATA
01CONTEXT / INPUTSTRUCTURED
{
  "objective": "finish_to_tolerance",
  "part_id": "NI-24-00841",
  "recipe": "MED-NITI-014@6",
  "surface_delta_um": 3.8,
  "tool_state": "ready"
}
1OBSERVEState acquired
2DECIDEBest-fit model
3BOUNDDeterministic gates
4EXECUTEPermitted action
5VERIFYEvidence captured
02DECISION / OUTPUTSCHEMA VALID
{
  "decision": "EXECUTE_RECIPE",
  "confidence": 0.997,
  "allowed": true,
  "gates": "8/8",
  "action": "finish_pass_03"
}

DESIGNED BOUNDARIES

What the system is.
And what it refuses to be.

VIHA is

  • An intelligence layer for executionIt connects process intent, context, models, controls, and evidence.
  • Physical and digitalThe same operating philosophy applies to robots and software agents.
  • Model-flexible and edge-firstFrontier, specialized, and open-source models each get a defined role.
  • Measured against an objectivePrecision, repeatability, latency, cost, and intervention are explicit.
×

VIHA is not

  • An unconstrained general agentAuthority is narrow, versioned, and inspectable.
  • One model asked to do everythingEach decision is routed to the least complex capable intelligence.
  • A replacement for industrial safetySafety systems and deterministic controllers remain authoritative.
  • A probability presented as a guaranteeUncertainty triggers a hold, review, recovery path, or hard stop.

ONE SYSTEM / TWO WORLDS

Bounded work wherever work happens.

A / PHYSICAL

Adaptive industrial robotics

Perception, process data, and CAD become robot actions constrained by recipes, tolerances, and safety controls.

≈5 µm customer requirementLow-PPM customer requirementHardware agnostic
B / DIGITAL

Production-grade AI workflows

Models can interpret, decide, and recommend while permissions, policy, schemas, and human review govern action.

Typed decisionsPolicy gatesAudit evidence

FROM WORKFLOW TO OPERATING SYSTEM

Start bounded.
Expand from evidence.

The deployment motion is the same for physical and digital work. Scope changes; the operating discipline does not.

  1. 01

    Define

    Capture the manual baseline, representative cases or parts, limits, quality criteria, and failure modes.

  2. 02

    Model

    Build the recipe or policy: states, tools or systems, gates, metrics, and acceptance tests — before anything executes.

  3. 03

    Prove

    Run one bounded scope against real inputs. Collect structured evidence. Expose the failure modes.

  4. 04

    Validate

    Freeze the approved version, document revisions, complete acceptance tests, train operators, and establish change control.

  5. 05

    Expand

    Reuse the skills, evidence, and patterns across more parts, cases, or sites.

SYSTEM READY

See the operating
contract in motion.

Enter a demonstration of the VIHA control loop, from observed state through verified result.