How it Works

Formant connects robot systems to the people, workflows, data, and agents that make them operational.

Built for technical evaluators, robotics leaders, physical-AI partners, and enterprise automation teams. Technical credibility without the documentation.

Architecture Overview

Five compounding steps from robot signal to reliable operations.

01 / Ingest

Normalize robot telemetry, video, maps, events, and mission state.

02 / Context

Join live and historical context into one queryable operational record.

03 / Govern

Apply access controls, approvals, and auditable operating workflows.

04 / Operate

Power teleop, intervention routing, and fleet command surfaces.

05 / Improve

Feed post-mission learning back into deployment and policy.

From siloed robot data → one accessible operating layer
Heterogeneous robots normalized into one accessible data layer
Core Data + Control Surfaces

Unified interfaces for operations, diagnosis, and governance.

Telemetry + Events

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Video + Imagery

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Transforms + Maps

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Command + Policy

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

AI Agent Access

Secure pathways for agentic systems to act in physical environments.

Route model outputs through policy-aware interfaces, with human-in-the-loop control and auditability before commands reach real machines.

Integration Model

Robot/OEM Layer

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Formant Operating Layer

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Enterprise Systems

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Production Reality

Directionally impressive demos are not production systems.

Direction

Single environment, curated tasks, limited governance, and one-off integrations.

Production

Multi-site operations, reliability targets, operator workflows, policy enforcement, and continuous improvement loops.

Start with Formant

Bring physical AI into operations with a governed deployment layer.

Talk to Formant →
How It Works

Formant connects robot systems to the people, workflows, data, and agents that make them operational.

Built for technical evaluators, robotics leaders, physical-AI partners, and enterprise automation teams. Technical credibility without the documentation.

Architecture Overview

Above robot-specific autonomy. Below enterprise operations.

01
Robot systems & edge agent
02
Telemetry, video, event, command & file streams
03
· FORMANT Cloud operating layer
04
Command center, workflows, APIs & integrations
05
Operators, enterprise systems & approved agents
FROM SILOED ROBOT DATA → ONE ACCESSIBLE OPERATING LAYER
Accessible data diagram animation
Core Data & Control Surfaces

Six surfaces, one governed model.

Telemetry & time-series history

Continuous time-series capture, retained and queryable across the fleet.

Video, images & sensor context

Multi-sensor context tied to the moment and place it was captured.

Events, incidents & logs

Events, incidents, annotations, and logs unified into a reviewable record.

Commands, SSH & teleoperation

Bounded commands, workflows, SSH, and live teleoperation with operator control.

Device metadata & fleet state

Normalized device metadata and operational context across every vendor.

Permissions, roles & auditability

Role-based permissions and audit trails enforced across every surface.

AI Agent Access

Agents are useful only when they operate through governed context.

Route model outputs through policy-aware interfaces, with human-in-the-loop control and auditability before commands reach real machines.

Boundary

No direct model-to-actuator path. Every action is bounded, attributable, and reviewable.

Inspect fleet state and history
Conversational analysis over telemetry, events, images, logs & incidents
Run data analysis to surface patterns, anomalies & likely causes
Initiate bounded workflows or commands where allowed
Support objective-driven orchestration patterns with exception escalation
Integration Model

Integrated around the outcome, not a fixed catalog.

Implementation is tailored to fleet topology, customer systems, and operating model — with governed execution from day one.

Robot systems & vendor APIs

Connect robot-specific interfaces into one operational layer.

Customer systems & workflows

Integrate ticketing, alerting, identity, and operational workflows.

Site-specific telemetry & events

Ingest and normalize local sensor, event, and facility context.

Implementation services

Forward-deployed support to land outcomes and scale deployment safely.

What Is Real Today

A clear line between production and direction.

Production Today
Multi-vendor fleet visibility and governance
Operator workflows, incidents, and reviewable history
Bounded command execution and teleoperation
Auditable permissions, approvals, and policy controls
Direction
Objective-driven orchestration across systems
Expanded agentic analysis and workflow delegation
Greater automation with exception-first escalation
Start with Formant

Discuss your robot operations architecture.

Bring your robot types, vendors, deployment model, workflows, and integration questions.

Talk to Formant →
How it Works

Formant connects robot systems to the people, workflows, data, and agents that make them operational.

Built for technical evaluators, robotics leaders, physical-AI partners, and enterprise automation teams. Technical credibility without the documentation.

Architecture Overview

Five compounding steps from robot signal to reliable operations.

01 / Ingest

Normalize robot telemetry, video, maps, events, and mission state.

02 / Context

Join live and historical context into one queryable operational record.

03 / Govern

Apply access controls, approvals, and auditable operating workflows.

04 / Operate

Power teleop, intervention routing, and fleet command surfaces.

05 / Improve

Feed post-mission learning back into deployment and policy.

From siloed robot data → one accessible operating layer
Heterogeneous robots normalized into one accessible data layer
Core Data + Control Surfaces

Unified interfaces for operations, diagnosis, and governance.

Telemetry + Events

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Video + Imagery

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Transforms + Maps

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

Command + Policy

Enterprise-grade controls with fleet-wide visibility across environments, time, and machine types.

AI Agent Access

Secure pathways for agentic systems to act in physical environments.

Route model outputs through policy-aware interfaces, with human-in-the-loop control and auditability before commands reach real machines.

Integration Model

Robot/OEM Layer

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Formant Operating Layer

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Enterprise Systems

Neutral and extensible architecture designed for mixed fleets, mixed tools, and long-lived production deployments.

Production Reality

Directionally impressive demos are not production systems.

Direction

Single environment, curated tasks, limited governance, and one-off integrations.

Production

Multi-site operations, reliability targets, operator workflows, policy enforcement, and continuous improvement loops.

Start with Formant

Bring physical AI into operations with a governed deployment layer.

Talk to Formant →
How It Works

Formant connects robot systems to the people, workflows, data, and agents that make them operational.

Built for technical evaluators, robotics leaders, physical-AI partners, and enterprise automation teams. Technical credibility without the documentation.

Architecture Overview

Above robot-specific autonomy. Below enterprise operations.

01
Robot systems & edge agent
02
Telemetry, video, event, command & file streams
03
· FORMANT Cloud operating layer
04
Command center, workflows, APIs & integrations
05
Operators, enterprise systems & approved agents
FROM SILOED ROBOT DATA → ONE ACCESSIBLE OPERATING LAYER
Accessible data diagram animation
Core Data & Control Surfaces

Six surfaces, one governed model.

Telemetry & time-series history

Continuous time-series capture, retained and queryable across the fleet.

Video, images & sensor context

Multi-sensor context tied to the moment and place it was captured.

Events, incidents & logs

Events, incidents, annotations, and logs unified into a reviewable record.

Commands, SSH & teleoperation

Bounded commands, workflows, SSH, and live teleoperation with operator control.

Device metadata & fleet state

Normalized device metadata and operational context across every vendor.

Permissions, roles & auditability

Role-based permissions and audit trails enforced across every surface.

AI Agent Access

Agents are useful only when they operate through governed context.

Route model outputs through policy-aware interfaces, with human-in-the-loop control and auditability before commands reach real machines.

Boundary

No direct model-to-actuator path. Every action is bounded, attributable, and reviewable.

Inspect fleet state and history
Conversational analysis over telemetry, events, images, logs & incidents
Run data analysis to surface patterns, anomalies & likely causes
Initiate bounded workflows or commands where allowed
Support objective-driven orchestration patterns with exception escalation
Integration Model

Integrated around the outcome, not a fixed catalog.

Implementation is tailored to fleet topology, customer systems, and operating model — with governed execution from day one.

Robot systems & vendor APIs

Connect robot-specific interfaces into one operational layer.

Customer systems & workflows

Integrate ticketing, alerting, identity, and operational workflows.

Site-specific telemetry & events

Ingest and normalize local sensor, event, and facility context.

Implementation services

Forward-deployed support to land outcomes and scale deployment safely.

What Is Real Today

A clear line between production and direction.

Production Today
Multi-vendor fleet visibility and governance
Operator workflows, incidents, and reviewable history
Bounded command execution and teleoperation
Auditable permissions, approvals, and policy controls
Direction
Objective-driven orchestration across systems
Expanded agentic analysis and workflow delegation
Greater automation with exception-first escalation
Start with Formant

Discuss your robot operations architecture.

Bring your robot types, vendors, deployment model, workflows, and integration questions.

Talk to Formant →
HOW IT WORKS

Formant connects robot systems to the people, workflows, data, and agents that make them operational.

Built for technical evaluators, robotics leaders, physical-AI partners, and enterprise automation teams. Technical credibility without the documentation.

ARCHITECTURE OVERVIEW

Above robot-specific autonomy. Below enterprise operations.

01
Robot systems & edge agent
02
Telemetry, video, event, command & file streams
03 · FORMANT
Cloud operating layer
04
Command center, workflows, APIs & integrations
05
Operators, enterprise systems & approved agents