PLATFORM · PHYSICAL AI LAYER

Chat With Your Fleet. Let It Decide What Happens Next.

Chat With Your Fleet. Let It Decide What Happens Next.

Chat With Your Fleet. Let It Decide What Happens Next.

The Physical AI Layer turns fleet data into decisions — assigning the right robot to the right job, catching problems before they cost you, and giving your team a plain-language way to ask what’s happening and act on it.

What happens when operations run on agents

83%

83%

83%

ALARM REDUCTION

$20M+

$20M+

$20M+

ANNUAL OPERATIONAL SAVINGS DELIVERED

55%

55%

55%

ALARMS AUTO-RESOLVE

*Aggregated across our global portfolio of Tier 1 semiconductor and hardware OEMs.

WHAT IT IS — AND ISN’T

The Physical AI Layer isn’t a robot’s brain, and it was never meant to be one.

Every robot in your fleet keeps its own navigation, perception, and control — built by its manufacturer, running exactly as designed. Formant will never direct joint axes, handle obstacle avoidance, or run inference on-device. What the Physical AI Layer governs sits one level up: which robot does which job, when, and what happens the moment something looks wrong — across every vendor in your fleet, not just one.

Conversational Fleet Control

Ask what’s happening and act on it in plain language — “Why is Line 4 backed up?” or “Re-assign 3 AMRs to Dock B” — instead of navigating a dense dashboard or writing a script.

ML as the High-Level Strategist

Reasoning engines track historical performance per robot, per mission alongside real-time location, battery, and task queue. The Physical AI Layer assigns the best-suited robot — or robots — to each job.

Context-Aware Problem Solving

When telemetry shows something outside normal range, the Physical AI Layer flags it and dispatches a robot — or a person — to investigate. Fused with your SOPs, incidents get triaged automatically.

HOW IT WORKS

The Physical AI Layer Governs What Happens Next.

The Physical AI Layer Governs What Happens Next.

Behind the conversation, reasoning engines track historical performance per robot, per mission — speed, error rates, how a given unit has handled a given job before — alongside real-time location, battery, and task queue.

Conversational Fleet Control

Ask what’s happening and act on it in plain language — “Why is Line 4 backed up?” or “Re-assign 3 AMRs to Dock B” — instead of navigating a dense dashboard or writing a script.

ML as the High-Level Strategist

From historical performance data and real-time signals, the Physical AI Layer assigns the best-suited robot — or robots — to each job, coordinating multiple units on a single mission when the work calls for it.

Context-Aware Problem Solving

When telemetry shows something outside normal range, the Physical AI Layer flags it and dispatches a robot — or a person — to investigate. Fused with SOPs and maintenance logs, incidents get triaged automatically.

See It in Practice

Ten robots working a site, tasks flowing in all day. The Physical AI Layer decides who does what and when — each robot still plans its own path and handles its own obstacles once it has the assignment.

SEE IT IN ACTION

Watch the Physical AI Layer in Action

BUILT FOR YOUR FLEET

Made for Fleets Built for the Real World.

Made for Fleets Built for the Real World.

Because the Physical AI Layer never reaches into any robot’s onboard control stack, it doesn’t need privileged access to any manufacturer’s proprietary systems. Run the same conversational command and task governance across a fleet built from four different vendors — not just one.

Who Handles What

The Physical AI Layer draws on which unit has handled this zone reliably before — not just which one is nearest — to make smarter, history-aware assignments across your entire fleet.

Historical performance per robot, per mission

Zone-level reliability tracking across your fleet

Smart re-assignments when conditions change

Real-Time Availability

Which robot is closest and available right now — drawing on live location, battery level, and current task queue to make every dispatch count without wasted movement.

Live location, battery, and task queue awareness

No wasted dispatches on unavailable units

Continuous re-evaluation as conditions shift

Coordinated Execution

Whether the job needs one robot or several working together, the Physical AI Layer coordinates multi-unit missions while each robot still handles its own navigation and obstacles.

Multi-robot mission coordination

Each robot keeps its own onboard control stack

Works across every vendor in your fleet

VALUE DELIVERED

Quantify, Your Speed and Time to Value.

Quantify, Your Speed and Time to Value.

Traditional pricing models charge you for user seats, keeping your data siloed. We price for real-world results. Our generative AI orchestrates actions across your workflows, turning unmanageable hardware signals into verified outcomes. Use the calculator below to see the immediate economic upside Formant returns to your physical operations.

ROI Calculator
From Signals to Verified Outcomes
Current Daily Alarms
500
Time to Triage (Min)
10m
Engineer Hourly Rate ($)
$75
ALARMS AUTO-RESOLVED (83%)
415 / day
Annual Operational Upside
$1,348,750
*Based on Formant's verified 83% reduction in alarm fatigue.

Ready to Run Your Whole Fleet From One Place?

Ready to Run Your Whole Fleet From One Place?

See how a chat-first, ML-driven Physical AI Layer turns a mixed-vendor deployment into a single, self-optimizing operation.