Colors AI provides AI-powered agents that ingest ERP, CMMS, SharePoint, Excel and scanned documents to enable natural‑language search and data extraction across manuals, service logs and SOPs. The platform delivers real‑time troubleshooting assistance, automated RFP risk analysis, and knowledge capture tools, reducing resolution times and bid review cycles while maintaining SOC 2‑ready security in on‑premise or private‑cloud deployments.
Funding
Funding not disclosed
Founders
Product
Problem
Field service and construction organizations must sift through extensive manuals, service logs, contracts, and inspection records to resolve issues, train staff, and evaluate bids. Manual search and document review are time‑consuming, leading to delayed resolutions, low first‑call fix rates, and missed risk signals in tender documents. Existing ERP and CMMS platforms lack built‑in intelligence to surface actionable insights from unstructured content.
Solution
Colors AI delivers specialized AI agents that ingest existing ERP, CMMS, SharePoint, Excel files, and scanned documents without requiring system replacements. The agents apply natural‑language processing and machine‑learning models to enable instant search, data extraction, and risk analysis directly from operational documents. Users can query manuals, SOPs, and logs via a conversational interface, receiving precise answers that accelerate troubleshooting and support. For bid and RFP workflows, the AI automatically flags risky language and pricing gaps, shortening review cycles from hours to minutes. Knowledge capture tools transform tribal expertise into searchable training material for new hires. All deployments are available on‑premises or in a private cloud, with SOC 2‑ready security and full data control.
Target Audience
Primary customers are field service technicians, supervisors, and support teams in elevator, HVAC, utilities, and transportation sectors, as well as construction and EPC project managers and bid analysts who need rapid document‑driven insights.
Features
- End‑to‑end document ingestion supporting PDFs, scanned images, and structured data sources (ERP, CMMS, SharePoint, Excel)
- Natural‑language query engine that returns concise answers from manuals, service logs, and SOPs
- Automated RFP and bid risk analysis that highlights contract clauses and pricing discrepancies
- Real‑time troubleshooting assistant that suggests fixes based on equipment schematics and historical fixes
- Knowledge management module that extracts and organizes tribal knowledge for onboarding and training
- Task automation workflows for audit compliance checks and routine data extraction
- Secure deployment options (SOC 2‑ready, on‑premise or private cloud) with role‑based access controls
- Pre‑built connectors for common enterprise systems, eliminating the need for custom integration code