FixSense turns thousand-page manuals and hours of training video into a voice-first AI mentor. Ask out loud while your hands stay on the job — get the spec, the diagram, and the exact video moment, in seconds.
Front caliper bracket bolts — tighten in a cross pattern, two stages. Source: authorized service manual, §Brakes 4.2.
Senior expertise doesn't scale. The manual is thousands of pages, the video runs long, and the technician's hands are already busy.
Traditional manuals exist as thousand-page PDFs and training videos are time-consuming, leaving frontline information retrieval extremely slow.
A shortage of senior technicians meets long onboarding cycles — the traditional master–apprentice model is severely limited in efficiency.
On-site, technicians have limited use of their hands and face high-noise interference — making it hard to consult paper or electronic materials while working.
The technician gets a voice-first copilot. The enterprise gets a knowledge factory and skills evaluation. The same knowledge base underneath.
Pure voice interaction and real-time Q&A. Ask while you repair — the system pushes relevant drawings and multimodal information in the moment.
Batch-upload PDFs and video to rapidly build an enterprise-exclusive AI knowledge base — then scientifically evaluate skill levels and learning progress.
The Knowledge Refinery is the core technical barrier — a multimodal ETL pipeline aligning manuals, diagrams, and video on both the time axis and semantic space.
Four pillars of licensed, authoritative data — the underlying technical documents that ensure every answer is legal, authoritative, and standards-compliant.
Data access only with brand authorization — legal, authoritative source documents via deep cooperation with authorized maintenance centers.
Broad consumer and commercial product guides and instructions, building a solid foundational knowledge base.
Commercially procured specifications and standards, so all guidance complies with safety and operational guidelines.
High-standard annotated datasets from the training system, plus automated collection via robots — data that self-evolves.
Stay agile while accumulating the core technology that becomes the data flywheel.
Fully advance the automated multimodal ETL pipeline, aligning manuals, video, voice, and industry standards on both the time axis and semantic space.
Pair leading third-party Vision-Language Models with the scarce knowledge base from Phase 1 to build the MVP quickly, run commercial trials, and gather real feedback.
Decouple from third-party general models. Pre-train and fine-tune FixSense's exclusive vertical-domain model, optimized for edge inference in weak- or no-network repair-shop environments.
The most efficient path from technology to the shop floor. Bring FixSense to your team.