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Systematiq

Systematiq provides an operations integrity platform that uses generative AI to guide workers through safety-critical procedures and multimodal AI—including vision, sensors, and sign-offs—to verify each step in real time. The system grounds every instruction in a company's own approved regulations and procedures, delivering voice-first, source-cited guidance at the point of work. It supports 40+ languages and offers sub-100ms edge response for hands-free operation.

Traction –/10
HQ unknown
15+ followers
  • Artificial Intelligence
  • AI Agents
  • Regulatory & Compliance Technology
  • Internet of Things
  • Software Only
Updated 8 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Safety-critical and knowledge-intensive work often fails at the point of execution: procedures can be written, trained, and signed, yet still not be carried out as intended. The gap between what was attested and what actually happened is documented, expensive, and can lead to catastrophic failures.

Solution

Systematiq provides an operations integrity platform that guides workers through safety-critical procedures using generative AI, then verifies each step with multimodal AI—combining vision, sensor data, and digital sign-offs. The system pulls from a company's own approved regulations and procedures, delivering voice-first, source-cited instructions at the point of work. Verification data, including camera feeds and sensor readings, is automatically recorded and fed back into the knowledge base, creating a closed loop where procedures improve from real work. The platform operates online and offline, supports 40+ languages, and delivers sub-100ms edge response for hands-free operation in signal-dead zones.

Target Audience

Primary customers are organizations in safety-critical industries such as oil and gas, aviation, energy, and manufacturing that need to verify high-stakes procedures are executed correctly and maintain auditable records of compliance.

Features

  • Agentic retrieval and reasoning across a company's own regulations, procedures, and operational knowledge, with every answer cited to source and shaped by the worker's role
  • Role-based digital signatures bound to current competence and authorization, confirmed at the moment of execution
  • Source-agnostic computer vision across CCTV, IP cameras, drones, body-cams, phones, and wearables, with 50+ pre-built vision modules
  • Multimodal verification beyond cameras, reading sensor and IoT feeds including gas detection, pressure, temperature, vibration, access control, and plant telemetry
  • Tamper-evident, cryptographically verifiable records of how work was done, ready for audit as an output of the task
  • Deployment options including cloud, hybrid, or fully on-premise with region-aware data residency; no client material trains shared models
This profile is AI-generated and may contain inaccuracies.