Averas provides an AI‑ready knowledge‑base platform for large enterprises, especially in regulated sectors like finance, healthcare, and SaaS.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises in regulated sectors such as finance and healthcare often rely on fragmented knowledge sources—support tickets, documentation, community forums, and call transcripts—to power AI chatbots. Inconsistent, outdated, or incomplete knowledge bases lead to poor chatbot accuracy, higher support costs, and compliance risks.
Solution
Averas offers a platform that evaluates, measures, and improves the underlying knowledge bases used by customer‑support AI. The system automatically extracts themes from support tickets, generates synthetic test cases, and scores knowledge‑base readiness using a relevance‑groundedness‑context (RAG) triad. Based on the assessment, Averas produces AI‑generated document revisions and error‑and‑omission reports, which are presented through an approval workflow and continuously re‑measured to verify improvement. A free, no‑data‑sharing report card provides an initial AI readiness score and gap analysis, while paid tiers add full measurement, continuous monitoring, and enterprise‑scale document enhancement.
Target Audience
Primary customers are large enterprises in regulated industries—such as financial services, healthcare, and SaaS providers—that operate AI‑driven support chatbots and need to ensure knowledge accuracy and compliance.
Features
- Automatic intent and theme extraction from tickets with volume‑ranked topic identification
- Synthetic question generation and RAG triad evaluation to produce an AI readiness score and benchmark comparison
- Gap analysis linking support tickets to existing documentation across multiple sources (Zendesk, Salesforce, Confluence, etc.)
- AI‑generated document revisions with before/after comparison and an approval workflow
- Continuous re‑measurement to validate improvements and maintain compliance
- Consolidated view of knowledge from shared drives, forums, and transcripts in a single dashboard