Klavi Experts - 2026 Pricing, Features, Reviews & Alternatives

Klavi Experts is an on-premises AI platform built for small and medium-sized businesses priced out of enterprise AI tools. Installed as a single binary on macOS or Linux, it runs entirely on user-controlled hardware, whether a laptop, small office server, rack, or a self-managed VPS. No cloud account is required, and no data, prompts, or outputs leave the local network by default. An air-gap mode is available on the Sovereign plan for organizations with strict network isolation requirements. Flat monthly pricing per deployment replaces per-seat or per-token metering, making costs predictable for lean teams.

Klavi Experts connects to existing document folders (PDFs, Word documents, spreadsheets, Markdown files) and indexes them locally. From that indexed knowledge base, it provides a suite of configurable AI experts covering roles such as Grant Writer, Researcher, Editor, M&E Analyst, Onboarding Mentor, Support Agent, and Sales Coach. Each expert response cites a source from the user's own documents. Teams interact with experts through an Ask bar, a rich-text document editor with inline assistance and tracked revisions, a five-stage project pipeline (Research, Plan, Draft, Review, Finalize), and an AI-native email inbox with briefing, draft-reply, approvals tray, and calendar integration. Additional modules include a web research tool that saves results to collections and generates research briefings, an Opportunities scanner for tenders and job listings with an Interrogator filter, and Chatterbox, an on-premises group chat with @-expert mentions.

Klavi Experts is specifically suited to nonprofits, consulting and professional services firms, family businesses with deep document archives, solo consultants, and freelancers. Organizations that produce grant proposals or respond to RFPs benefit from the Grant Writer expert and source-cited outputs. The platform supports voice input, OCR, image generation from prompts or highlighted document content, custom model support, MCP connections to external AI providers (Teams and Total plans), and role-based access control scoped per document. Users control when updates are applied, and open formats with no vendor lock-in allow models and providers to be swapped at any time.