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Fybre Labs

Fybre Labs offers an AI‑driven visual automation platform that captures, processes, and streams high‑resolution imagery—including time‑lapse and 360° VR—and converts scans into printable 3D models. The solution provides edge inference, cloud‑native analytics, and REST/SDK integration for enterprise media, event, and manufacturing workflows, cutting manual effort and speeding content delivery.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Enterprises in media, events, and manufacturing often rely on manual visual capture and post‑processing workflows, leading to high labor costs, delayed content delivery, and limited ability to extract actionable insights from visual data.

Solution

Fybre Labs delivers an AI‑driven visual automation platform that unifies agentic AI agents, time‑lapse capture, immersive 360° VR streaming, and automated 3D‑printing pipelines. The system leverages computer‑vision models and edge inference to acquire high‑resolution imagery, process it in real time, and expose the results through RESTful APIs and SDKs for seamless integration into existing enterprise stacks. Cloud‑hosted analytics apply deep‑learning inference to generate metadata, change detection, and performance metrics that feed downstream decision‑making tools. Built‑in workflow orchestration enables end‑to‑end automation—from capture to asset delivery—reducing manual intervention and shortening production cycles. The platform supports both on‑premise and SaaS deployment models, allowing organizations to scale visual content creation while maintaining data security and compliance.

Target Audience

Primary customers are mid‑size to large enterprises in media production, live‑event broadcasting, and manufacturing that require automated visual content pipelines and data‑driven insight generation.

Features

  • Agentic AI modules that autonomously schedule, execute, and monitor visual capture tasks across distributed hardware
  • AI‑enhanced time‑lapse system with adaptive exposure control and on‑device edge inference for real‑time change detection
  • Immersive 360° VR streaming engine with low‑latency encoding, multi‑view stitching, and WebXR compatibility
  • Integrated 3D‑printing workflow that converts processed 3D scans into printable models using generative design algorithms
  • RESTful API and TypeScript SDK for programmatic control, data ingestion, and integration with ERP, DAM, and analytics platforms
  • Cloud‑native analytics pipeline employing GPU‑accelerated neural networks to produce metadata, anomaly alerts, and visual quality scores
  • Role‑based access control and end‑to‑end encryption meeting ISO 27001 and GDPR requirements
This profile is AI-generated and may contain inaccuracies.