Market Thesis
Edge-first AI for regulated trades
Elevator downtime is a $10B+ drag. Crews operate in RF shadows and legal minefields, which kills generic AI assistants. Pullsheet’s offline engine and safety rails unlock AI where it actually hurts.
Principle
IntentMesh was built by Joshua Worth with field experience to keep AI grounded in safety, compliance, and real hardware. Offline-first, legally clean, and tuned for field intelligence that compounds.
Founder: Joshua Worth, builder of AI systems that turn complexity into clarity. Company: Intent Mesh LLC, privately held and focused on regulated, high-stakes work.
Principles: Offline first. No OEM leakage. Human-in-the-loop supervision. Compliance and safety before speed. Data compounds back into crews, training, and ops.
Market Thesis
Elevator downtime is a $10B+ drag. Crews operate in RF shadows and legal minefields, which kills generic AI assistants. Pullsheet’s offline engine and safety rails unlock AI where it actually hurts.
Traction
Pullsheet closes diagnostics faster, keeps logbooks compliant, and trains new hires on real controllers rather than abstract sims.
Moat
Every crew interaction enriches the IntentMesh graph, which flows back into training, manufacturing, and AI oversight. This creates a defensible data loop VC partners and enterprise buyers care about.
Intent Layer
Pullsheet is the connective tissue between crews, AI, and manufacturing. Every note, capture, and training session feeds back into IntentMesh Core so guidance compounds.
Analog observations, symptoms, audio, video.
Offline reasoning and guided diagnostics.
Compliance, knowledge graphs, and AI safety layers.
Insights returning to crews, training, and labs.