Bolo AI offers an AI‑driven copilot that lets energy‑sector asset engineers query structured and unstructured performance data in natural language. Its semantic integration layer unifies APM, IoT, ERP, and document sources, delivering context‑aware answers and real‑time insights directly within existing workflows, helping teams make faster, more informed decisions and reduce unplanned outages.
Funding
$8.1M 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.
3OFounders
Product
Problem
Asset engineers in the energy sector must navigate fragmented performance data spread across APM systems, IoT sensors, ERP platforms, and documents, requiring manual analysis and multiple tools. This creates bottlenecks, delays critical decisions, and increases the risk of unplanned equipment failures.
Solution
Bolo AI provides an AI‑driven copilot that lets engineers query their asset data in natural language and receive precise, context‑aware answers. A semantic layer unifies structured and unstructured sources, giving the AI the context needed to reason across APM, IoT, ERP, and document repositories. The platform delivers insights directly within the user’s existing workflow, highlighting the most relevant information without requiring separate dashboards or manual data wrangling. By orchestrating domain‑specific AI agents, Bolo AI accelerates decision‑making, reduces reliance on manual analysis, and helps prevent costly unplanned outages.
Target Audience
Primary customers are asset engineers, reliability and maintenance teams, and operations managers at energy and heavy‑industry companies that need consolidated, actionable intelligence from diverse data sources.
Features
- Natural‑language query interface that translates plain‑language questions into accurate asset‑specific answers
- Semantic integration layer that connects structured data (APM, IoT, ERP) with unstructured documents and reports
- AI agent orchestration built for energy‑industry contexts, providing domain‑aware reasoning and recommendations
- Real‑time insight delivery within existing engineering tools and workflows, eliminating the need for separate dashboards
- Unified view of asset performance, maintenance history, and operational metrics for faster root‑cause analysis