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
Low PPMreliability requirement
Edge-firstproduction architecture
Any robothardware abstraction
01 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.

02 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
03 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
04 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
05 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 control system connected to robotic hardware and sensors
EDGE RUNTIMEHARDWARE ABSTRACTION / ACTIVE
06 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 ↗
≈5µmprecision requirement
LowPPMreliability requirement
≈3monthsto build the first system
5peopletechnical build team

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

07 THE TEAM

Built by operators
who have shipped it.

CO-FOUNDER / ROBOTICS

Vivek

25 years

Deploying production-grade robotics and industrial automation systems.

CO-FOUNDER / DATA + TECHNOLOGY

Harish

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. harish@vihalabs.com DALLAS–FORT WORTH, TEXAS