Aerovy provides a universal hardware intelligence platform that unifies fragmented device fleets onto a single, hardware-agnostic system. The platform enables efficient fleet operations, secure control plane management, and firmware updates through integrated AI and agentic workflows. It allows enterprises to build custom applications and optimize asset performance using consolidated data and robust APIs.
Funding
$800K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
MFounders
Product
Problem
Managing diverse hardware assets across various systems leads to fragmented data, hindering comprehensive oversight and efficient operations. Integrating disparate systems, such as asset management, telematics, and maintenance workflows, poses a significant challenge for organizations seeking unified control and intelligence.
Solution
Aerovy offers a unified platform that transforms diverse hardware fleets into intelligent ecosystems, enabling AI-driven asset management, telematics, and maintenance operations. The platform consolidates data from various hardware assets into a single, secure data substrate, facilitating cross-domain intelligence across asset management, fleet operations, and maintenance workflows. By unifying hardware data, Aerovy enables the deployment of foundational AI models for anomaly detection, forecasting, and domain-specific applications, as well as agentic workflows for automated end-to-end operations. The platform's unified architecture integrates lightweight EAM, APM, Fleet Telematics, and CMMS features, providing a cohesive solution for hardware intelligence.
Target Audience
Aerovy targets enterprises with complex hardware and firmware requirements, including those in advanced air mobility, energy, and other industries managing diverse hardware assets.
Features
- Unified architecture consolidating fragmented systems into a hardware-agnostic platform
- Self-service mapping tools for onboarding devices using industry-standard protocols like MQTT and OCPP
- Real-time visibility into asset location, usage, and performance, synchronized with maintenance data
- AI-driven optimization of energy resource distribution, reducing waste and lowering operational costs
- API and SDKs for building custom applications and integrating with external systems
- Foundational models for anomaly detection, forecasting, and domain-specific applications
- Agentic workflows for automating end-to-end operations from incident to resolution
- Securely fine-tune hardware data, bring your own models, and deploy intelligence across all of your fleets