Bolo AI

What Bolo AI does

Bolo AI Copilot for Asset Intelligence transforms how energy companies interact with their data, turning complex asset performance data into instant, actionable insights. It helps engineers make faster, better-informed decisions by highlighting what matters most without ever leaving their workflow. The solution addresses the challenge of asset engineers being overwhelmed by data in current asset performance management systems, which bury valuable insights and create bottlenecks. Bolo AI's semantic layer bridges structured and unstructured data, providing AI copilots with the necessary context to reason, analyze, and respond accurately. Security is a core focus, with features like SOC 2 compliance, role-based access controls, and no foundational model training, ensuring data privacy and protection. Flexible deployment options include both on-premise and cloud environments.

Products

• Bolo AI Copilot for Asset IntelligenceAn AI-driven intelligence tool for asset data, powered by an agent orchestration layer built for the energy industry. It helps engineers make faster, better-informed decisions by highlighting critical information within their workflow.

Key capabilities

• Intelligent Query Understanding
• Multi-Source Intelligence (across APM, IoT, ERP, and documents)
• Production-Grade Accuracy (verified, traceable, reliable results)
• Energy-Specific Context
• SOC 2 compliance
• Role-based access controls
• No foundational model training
• Flexible deployment options (on-premise and cloud environments)

Use cases

• Transforming complex asset performance data into instant, actionable insights
• Helping engineers make faster, better-informed decisions
• Reducing manual data analysis
• Unlocking data and insights buried in dashboards and manual workarounds
• Capturing and augmenting wisdom of experienced hands as they retire

AI approach

Bolo AI provides an AI Copilot for Asset Intelligence, specifically for energy companies. It uses a semantic layer to bridge structured and unstructured data, giving AI copilots context to interpret business reality. The solution is powered by an agent orchestration layer built for energy, enabling intelligent query understanding, multi-source intelligence across APM, IoT, ERP, and documents, and production-grade accuracy with energy-specific context. The company states it does not train foundational models.

Tech named: AI agents, Large language models, semantic layer, AI copilots, agent orchestration layer, multi-agent architecture

Industries served

• Energy

What it says sets it apart

• Semantic layer bridges structured and unstructured data for AI context
• Agent orchestration layer built specifically for energy
• Focus on outcomes, not algorithms
• Targeted pilots delivering value in weeks, not years
• Avoids bloated, monolithic builds
• Ensures data privacy and protection with no foundational model training
• High user acceptance testing pass rate (93%)
• Significant reduction in manual data analysis (80%)

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.