Orbitify Inc
By Orbitify IncOrbitify is an AI-powered platform that enables early fault detection, predictive maintenance, and automated task assignment for renewable energy and infrastructure. Its integrated O-Agent assistant turns raw data into real-time insights and actionable decisions.
- Stage
- In production
- Industries
- Manufacturing
- Energy
- Climate and sustainability
- Deployment
- Cloud (SaaS)
Why it is worth it
Orbitify stands out with its O-Agent, an AI assistant that transforms complex asset data into real-time insights and actions through natural language interaction. Unlike competitors that focus solely on dashboards or detection, Orbitify offers a unified platform that combines predictive analytics, automated task assignment, and conversational AI, making it easy for non-technical operators to manage large-scale infrastructure efficiently. It is affordable, scalable, and designed specifically for the needs of emerging markets, where technical support and AI expertise are often limited.
- Orbitify solves key enterprise pain points:
- 1, Unplanned Downtime: Enables early fault detection to prevent equipment failures.
- 2, Scattered Data: Converts sensor and inspection data into actionable insights.
- 3,Manual Task Management: Automates work order creation and technician assignment.
- 4,Skill Gaps: O-Agent provides natural language access to diagnostics and decisions.
- 5,High Digitalization Costs: Offers an affordable, scalable solution for emerging markets.
Opening the deck…
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Best customer profile
- Our ideal customer profile includes:
- Industry: Renewable energy (solar and wind), infrastructure operators, construction and utility companies
- Company Size: Medium to large enterprises managing multiple sites or distributed assets
- Use Case:
- Need for real-time monitoring of equipment health and operational performance
- High costs or delays from reactive maintenance practices
- Difficulty managing large volumes of sensor, inspection, or maintenance data
- Desire to reduce downtime, improve asset lifespan, and optimize workforce efficiency
- Specific Needs:
- Streamlined O&M workflows using AI recommendations
- Fault detection from thermal drone imagery or IoT sensor data
- Natural language access to system diagnostics, root causes, and task management (via O-Agent)
- Scalability across sites and integration with existing SCADA or asset management systems
Notable paying customers
- We are currently in the pre-revenue stage and preparing for pilot deployments with selected partners. While we have not yet acquired paying customers, we are in discussions with renewable energy operators in Vietnam for pilot trials following the MVP launch in June 2025.
Product Development: Completed functional demo and on track to launch MVP by end of June 2025 AI Assistant (O-Agent): Successfully integrated with AWS Bedrock for real-time natural language diagnostics and task automation Pilot Dataset & Model Validation: Trained and tested thermal image-based fault detection models (YOLOv8, Mask R-CNN) using real-world solar farm data Patent Filings: Filed 4 provisional patents covering AI-powered O&M, predictive maintenance, and task automation Fundraising: Currently raising seed funding to support product launch, pilot deployments, and team expansion