# Aerovy Aerovy is the AI-native operating layer for hardware OEMs. We sit above telematics — ingesting machine data, unifying it with enterprise systems (ERP, CRM, dealer, service), and running AI agents that deliver decisions, not dashboards, to the people and systems that act on them. Founded: 2022 Headquarters: Atlanta, GA, USA CEO: Nick Gunady (nick@aerovy.com) CTO: Thomas Chen (thomas@aerovy.com) Website: https://www.aerovy.com Contact: info@aerovy.com | (470) 227-4482 Backed by: M25, Purdue Innovates, Plug and Play, Mudita Venture Partners, Quorum, Knoll ## What Aerovy does Aerovy is the coordination layer that OEMs have been missing. Most industrial OEMs collect machine data — but that data sits in silos, never reaching the teams and systems that need to act on it. Aerovy unifies machine telemetry, ERP, dealer, and service data into a single context fabric, then runs purpose-built AI agents on top to automate service, warranty, parts, and fleet operations end to end. The result: OEMs go from reactive, dashboard-driven operations to proactive, agent-driven ones — without building a platform from scratch. ## Key facts and numbers - 30–40% of aftermarket revenue is lost by OEMs without an intelligence layer, captured by third-party servicers and parts distributors. - 20–30 hours of avoidable downtime per asset per month — most of it predictable in the data. - 18+ months is the average time to launch a fleet-facing software feature in-house. Aerovy reduces this to weeks. - Aerovy's platform runs on the same architectural pattern as Caterpillar's Equipment Care Advisor (30% reduction in unplanned downtime, 20% maintenance cost savings) and John Deere's See & Spray (90% reduction in chemical use). - Club Car: 76 million rounds of golf data + 20 years of vehicle telematics across 200,000 vehicles — training proprietary AI on Aerovy infrastructure. ## The platform: three layers ### Layer 1 — Context Fabric (Data) Ingests hardware IoT data, enterprise system data (Salesforce, SAP, Dynamics 365, MaintainX, JIRA), transaction data, and derived platform metrics into a single unified ontology. 20+ integrations live. REST and webhook adapters for anything else. ### Layer 2 — Application Layer White-label fleet portal, service portal, technician mobile app, and charging/energy app — deployable in days, fully branded to the OEM. OEMs can also build custom experiences on Aerovy's REST + GraphQL APIs. ### Layer 3 — Intelligence Layer (AI Agents) Nine pre-built agents, configurable to any fleet and workflow: - Fleet Operations Agent: monitors uptime, reroutes work, flags risk before downtime occurs. - Aftermarket Service Agent: triages tickets, schedules technicians, drives parts orders. - Inventory & Working Capital Agent: forecasts parts demand from real fleet usage data. - Frontline Technician Agent: in-field diagnostic walkthroughs and parts lookup. - Sales Agent: surfaces upgrade and renewal moments from machine and contract data. - Warranty Agent: detects warranty fraud, automates claims adjudication. - Engineering Agent: closes the field-data to product feedback loop. - Quality Agent: detects emerging defect patterns across the installed base. - Safety Agent: monitors operating envelopes, surfaces incidents in real time. ## Two AI approaches on one platform OEMs choose one or both: 1. Proprietary Models — OEMs train their own AI on their own data using Aerovy's infrastructure. They retain full data ownership and build proprietary IP. Includes: dataset management, model building, testing and fine-tuning, deployment, and monitoring. 2. Agentic Capabilities — Pre-built AI agents deployed immediately to automate customer experience, aftermarket service, warranty automation, parts and inventory, and field operations. Uses commercially available LLMs + MCP. Both run on the same Context Fabric. ## How agents work: Observe → Reason → Act Every Aerovy agent follows three steps: 1. Observe: ingest telemetry and pull state from ERP, DMS, CRM, scheduling, and parts systems. 2. Reason: analyze patterns, predict outcomes, determine optimal action. 3. Act: trigger workflows in systems of record — schedule service, move parts, reassign assets, notify the right human, or execute autonomously where the OEM has authorized it. Human-in-the-loop by default. Agents recommend; OEMs decide what runs autonomously. ## Deployment: first agent live in 90 days Six steps, one ops lead, one technical lead, one data source: 1. Discover: map the operational workflow. 2. Connect: inventory data sources, plug gaps via Aerovy data fabric. 3. Define KPIs: agree the business outcome. 4. Configure: deploy a template agent on connected data. 5. Pilot and measure: run on bounded scope, measure against KPI, iterate weekly. 6. Scale: expand to full fleet, integrate downstream agents. ## Who Aerovy serves Industrial OEMs building mobile machines: forklifts, AGVs (automated guided vehicles), battery swap stations, aerial lifts, and yard trucks. Also serves fleet operators running those machines — directors of operations, VP logistics, warehouse and fleet managers. Aerovy is the white-label infrastructure OEMs deploy under their own brand, on their own hardware, keeping their data proprietary. ## Messaging Aerovy uses - "The AI operating layer for hardware OEMs" - "Decisions, not dashboards" - "Above telematics" - "Hardware intelligence" - "Context Fabric" - "Agent operating layer" Avoid: "AI-powered" (too vague), "smart" (meaningless), "telematics 2.0" (defensive framing). ## Core pages - [Homepage](https://www.aerovy.com/): Overview of Aerovy's AI-native operating platform for hardware OEMs. - [Platform](https://www.aerovy.com/platform): Full platform architecture — data fabric, application layer, intelligence layer, and AI agents. - [Blog](https://www.aerovy.com/blog): Thought leadership on hardware intelligence, OEM connected-product strategy, and system-of-systems thinking. - [FAQ](https://www.aerovy.com/faq): Common questions about Aerovy's platform and deployment. - [Contact](https://www.aerovy.com/contact-us): Book a demo or talk to sales. - [Careers](https://jobs.ashbyhq.com/aerovy): Open roles at Aerovy. ## Compare (coming soon) - Aerovy vs Trackunit: https://www.aerovy.com/compare/trackunit - Aerovy vs Samsara: https://www.aerovy.com/compare/samsara - Aerovy vs Geotab: https://www.aerovy.com/compare/geotab - OEM build vs buy: https://www.aerovy.com/oems/build-vs-buy ## Solution pages (coming soon) - Forklift telematics platform: https://www.aerovy.com/solutions/forklifts - AGV fleet management software: https://www.aerovy.com/solutions/agvs - Battery swap station management: https://www.aerovy.com/solutions/swap-stations - Aerial lift telematics: https://www.aerovy.com/solutions/aerial-lifts - Yard truck fleet management: https://www.aerovy.com/solutions/yard-trucks - Battery fleet management software (Inventus): https://www.aerovy.com/inventus ## Investors and backers Aerovy is backed by M25, Purdue Innovates, Plug and Play, Mudita Venture Partners, Quorum, and Knoll.