Formant has announced the debut of F3, an AI-native robotics management platform designed to revolutionize how enterprises operate, monitor, and scale robotic systems. Powered by Generative AI and Agentic Reasoning, F3 elevates the orchestration layer—empowering organizations to manage robotic fleets with intelligence, speed, and ease.
As AI adoption accelerates across industries, managing robotics has become increasingly complex. Recent findings from McKinsey reveal that 72% of organizations are using AI, with 71% leveraging generative AI in at least one business function. Despite this progress, the tools designed to oversee robotic operations remain outdated.
“Something’s wrong here,” said Jeff Linnell, Founder and CEO of Formant. “AI is supposed to make work easier. But while the robots have evolved, the management layer is stuck in the past. The real bottleneck isn’t the machines—it’s the lack of intuitive, purpose-built software to run them. With F3 it’s not just about managing robots anymore. It’s about orchestrating intelligence.”
Built from the ground up with AI at its core, F3 transforms robotic operations by delivering real-time insights, predictive intelligence, and natural language interfaces—making robotics accessible across all levels of an organization.
Key AI-Driven Capabilities of F3
Voice Command Interface
F3 introduces a generative AI-powered assistant that responds to voice and text inputs—offering control, insights, and visualizations instantly.
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Accepts both spoken and typed commands
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Converts natural language into direct robotic actions
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Delivers live data visualizations
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Supports field operations through hands-free control
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Executes tasks and fleet-wide instructions seamlessly
AI Insights
An intelligent, always-on analytics layer provides operational clarity and proactive recommendations.
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Predicts failures and identifies anomalies
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Surfaces goal-aligned insights without prompts
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Generates incident summaries, root causes, and action plans
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Evolves continuously with user feedback
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Aligns with enterprise-specific KPIs
Smart Knowledge Base
This system transforms scattered technical content into context-rich, actionable answers.
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Understands SOPs, PDFs, diagrams, and other technical documents
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Uses deep indexing to connect cross-document concepts
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Answers queries with cited sources
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Grasps robotic terminology and operational nuances
Deep Research Agents
Autonomous AI agents perform in-depth analysis across robotic systems, devices, and behaviors.
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Conduct root cause analysis and identify performance trends
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Produce comprehensive reports with actionable guidance
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Compare device behavior to detect inconsistencies
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Enable predictive maintenance with data-backed insights
These innovations are layered atop Formant’s industry-proven capabilities, including fleet management, teleoperation, mission control, task automation, and performance analytics—already trusted by global enterprises like Softbank and BP.
Also Read: Hexagon Unveils AEON: Humanoid Robot for Industry Use
Pioneering Physical AI: A New Vision for Robotic Intelligence
F3 marks the beginning of Formant’s bold Physical AI strategy, where autonomous machines operate in concert with business systems—sensing, reasoning, and executing intelligently in alignment with human goals.
Most robotics-AI solutions focus on connectivity but lack enterprise integration. As a result, even intelligent machines operate in silos, disconnected from core systems like ERPs, ticketing platforms, and data warehouses. Formant aims to close this gap by redefining intelligence through relevance and context.
The Three Pillars of Physical AI: Building Collective Intelligence
Formant envisions a unified platform that integrates AI models, robotics, and enterprise data—unlocking unprecedented automation and intelligence. Similar to how ChatGPT transformed digital workflows, Formant’s platform is set to redefine physical systems.
The architecture of this unified platform includes:
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The Brain – Advanced AI models (e.g., ChatGPT, Claude, Gemini) and reasoning engines that plan and make decisions.
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The Body – Autonomous robots capable of sensing, adapting, and executing tasks.
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The Context – Native integration with systems like Google Drive, Jira, and more to ensure alignment with business goals and processes.
“We’re entering an era where machines don’t just execute commands—they collaborate,” said Linnell. “Where every machine action improves the entire system. Where AI becomes a trusted partner, not just a tool. The revolution isn’t coming. It’s here.”