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

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.

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

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.