VIHA BOUNDED AI SYSTEMS

Physical + digital production AI

AI that executes.
Not improvises.

VIHA builds bounded AI automation systems that combine deterministic controls with frontier and edge models, turning real-world variability into precise, repeatable work.

Enter the system → See how it works ↓
VIHA / CONTROL LOOP LIVE
01 OBSERVE part + process state ✓
02 REASON route to best-fit model ✓
03 BOUND rules + tolerances + policy
04 ACT execute + verify + log •••
CONFIDENCE 0.997 GATES 08/08 ENTER SYSTEM ↗
≈5 µmcustomer precision requirement, medical-device program
Policy-gatedno action executes until gates pass
Edge-firstproduction architecture
Physical + digitalone execution layer
01 WHERE TO START

Two kinds of work.
One operating contract.

The same execution layer, pointed at two problems. Pick the one that looks like yours.

A / PHYSICAL — PRECISION MANUFACTURING

Work a robot can't be trusted to improvise

Inspection, deburring, grinding and finishing on precision parts, where the part presentation varies but the process cannot. VIHA encodes the recipe, tolerances, safety gates and acceptance criteria, then produces an evidence package for every run.

  • Variable part presentation
  • Contact-rich process control
  • Locked recipes and change control
  • Run-level traceability

In build: an FDA-approved nitinol implant process for a U.S. medical-device manufacturer.

Bring us a precision workflow ↗
B / DIGITAL — OPERATIONS AND BACK OFFICE

Work an agent can't be trusted to improvise

High-volume operational decisions — exceptions, cases, claims, orders, reconciliations — where a model can read the context and decide, but only inside permissions, policy, and a typed output the downstream system will accept.

  • Grounded data access
  • Permissions and policy
  • Structured outputs
  • Audit and escalation

Where the answer today is a person, a queue, and a spreadsheet.

Scope a bounded workflow ↗
02 THE MISSION

Any manufacturing process should be automatable.

Traditional automation delivers precision only when the world stays fixed. General AI handles variation, but probability alone is not a production system.

VIHA brings the two together. We give intelligence room to solve the variable parts of a process, then surround it with deterministic execution, acceptance criteria, recovery logic, and evidence.

03 WHERE VIHA SITS

Variability in.
Repeatability out.

We use probability where it creates leverage and determinism where the result has to hold.

01RIGID

Traditional automation

Precise in a known world. Brittle when the part, process, or environment changes.

  • Fixed rules
  • Long engineering cycles
  • Exception-heavy
02BOUNDED

VIHA bounded AI

Model orchestration inside a governed execution loop built for an explicit operating objective.

  • Best-fit model per task
  • Deterministic gates
  • Verify, recover, log
99%+repeatability objective
03OPEN-ENDED

General intelligence

Powerful across ambiguity. Open-ended outputs are hard to trust in consequential workflows.

  • Broad capability
  • Probabilistic output
  • Unbounded edge cases
LESS VARIABILITY
MORE VARIABILITY
04 THE CONTROL LOOP

Give every model
a job description.

The intelligence is modular. The operating contract is not.

01

Observe

Combine vision, process signals, CAD, task context, and system state into a structured view of reality.

PERCEPTION + CONTEXT
02

Reason

Route each decision to a frontier, specialized, or open-source edge model based on cost, latency, and risk.

MODEL ORCHESTRATION
03

Bound

Apply versioned recipes, permissions, tolerances, deterministic rules, confidence gates, and hard stops.

POLICY + CONTROL
04

Act + verify

Execute through the target system, compare expected and observed state, recover safely, and preserve evidence.

EXECUTION + REPLAY
05 ONE PHILOSOPHY, TWO WORLDS

Physical or digital,
the architecture holds.

Digital twin of a dual-robot precision finishing cell PHYSICAL SYSTEM / CELL 01
A / PHYSICAL

Verified robot work

Translate process intent, CAD, perception, and quality requirements into safe actions on proven industrial hardware.

  • Part and pose confidence
  • Versioned process recipes
  • Safety and quality gates
  • Run-level evidence
B / DIGITAL

Production-ready agents

Turn customer, product, and operational knowledge into bounded agents that act predictably in sensitive workflows.

  • Grounded data access
  • Permissions and policy
  • Structured outputs
  • Audit and escalation
06 DEPLOYMENT

Runs at the edge.
Works across hardware.

VIHA separates perception and task intelligence from vendor-specific execution. Use the best robot, camera, model, or enterprise stack for the job without rebuilding the operating logic from scratch.

FRONTIER MODELSOPEN-SOURCE MODELSVIHA MODELSINDUSTRIAL CONTROL
VIHA edge runtime connecting a precision robot, vision, sensing, and motion hardware
EDGE RUNTIMEHARDWARE ABSTRACTION / ACTIVE
THE CASE

Same argument.
Two P&L lines.

Bounded automation pays the same way in both worlds: fewer things go wrong, and you can prove what happened. Only the unit changes.

A / PHYSICAL

Where the money is

  • Scrap and rework avoided per lot
  • Cycle time and machine utilization
  • Operator hours moved off repetitive, abrasive work
  • Engineering hours per changeover
  • Documentation and audit effort per run
B / DIGITAL

Where the money is

  • Handle time per case or exception
  • Share of volume resolved without a human touch
  • Reversal and rework cost from wrong decisions
  • Time to onboard a new workflow or policy change
  • Review and audit effort per decision

We scope these with you against your current baseline before a build. We don't publish a number we haven't run.

07 EARLY PROOF

CONFIDENTIAL U.S. MEDICAL-DEVICE MANUFACTURER

A process where failure is measured in microns and parts per million.

VIHA’s first customer program is automating an FDA-approved manufacturing process for a cardiovascular nitinol implant on industrial equipment. The work demands variable-part handling without compromising process control, traceability, or precision.

Discuss a precision workflow ↗
≈5µmcustomer precision requirement
LowPPMcustomer reliability requirement
≈3monthsto build the first system
5peopletechnical build team

Program details and requirements supplied by VIHA. Customer identity remains confidential.

08 THE TEAM

Built by operators
who have shipped it.

CO-FOUNDER / ROBOTICS

Robotics systems

25 years

Deploying production-grade robotics and industrial automation systems.

CO-FOUNDER / DATA + TECHNOLOGY

Data + AI systems

20 years

Building data, technology, and AI systems for real operating environments.

1IIT PhD founding engineer
2robotics engineers

A small technical team built the first precision system in approximately three months.

Start with one bounded objective

What process should
work this reliably?

Talk to VIHA ↗
VIHA, INC. [email protected] DALLAS–FORT WORTH, TEXAS