General Instinct applies computer‑vision to convert a single walkthrough video into a structured, machine‑readable SOP and runs edge inference on plant cameras to detect operator deviations in real time. The platform delivers visual alerts, compliance analytics, and API integration with MES/ERP systems, enabling manufacturers to reduce rework, improve onboarding, and maintain auditable process records.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturing operators rely on manually authored standard operating procedures (SOPs) that require days of interviewing, filming, and transcription. The resulting documents are often outdated, hard to verify, and deviations on the shop floor lead to rework, scrap, or unplanned downtime.
Solution
General Instinct applies computer‑vision and deep‑learning models to a single walkthrough video captured with existing plant cameras, automatically generating a structured, verified SOP in hours instead of days. The same vision engine runs on edge devices to monitor live operator actions against the generated procedure, flagging deviations in real time. Continuous visual monitoring eliminates the need for manual supervisor checks and provides an auditable compliance record. An analytics portal aggregates deviation events, surfaces recurring gaps, and supplies trend reports that drive process improvement. The platform integrates with typical manufacturing execution systems (MES) via RESTful APIs, enabling seamless data flow into existing quality and reporting workflows. By reducing SOP authoring effort, preventing non‑compliance incidents, and accelerating new‑hire onboarding, the solution delivers measurable operational savings.
Target Audience
Primary customers are mid‑size manufacturers and production facilities that need to formalize and enforce SOPs, including line supervisors, quality assurance engineers, and MES administrators.
Features
- AI‑driven video ingestion that converts a single walkthrough into a machine‑readable SOP with step sequencing, timing, and safety annotations
- Edge inference on standard IP cameras for sub‑second deviation detection without upstream bandwidth constraints
- Real‑time visual alerts displayed on operator workstations or mobile devices when a step is missed or performed out of order
- Centralized knowledge base that aggregates all captured SOPs and supports instant recall via keyword or part‑number search
- Dashboard with compliance metrics, deviation heatmaps, and automated root‑cause suggestions for continuous improvement
- Role‑based access control and immutable audit trail to satisfy regulatory and internal quality requirements
- REST/GraphQL API connectors for MES, ERP, and quality management systems to push compliance data into existing reporting pipelines
- Scalable cloud backend that stores SOP models and analytics while allowing on‑premise deployment for highly regulated environments