Gilbert: French sovereign AI meeting note taker that generates structured reports, decisions and actions, hosted in France on SecNumCloud infrastructure. Read.ai: Meeting summaries with engagement and sentiment analytics We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Gilbert when generating french meeting reports for sovereignty-sensitive sectors matters most, and Read.ai when personal meeting coaching matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
French sovereign AI meeting note taker that generates structured reports, decisions and actions, hosted in France on SecNumCloud infrastructure.
Meeting summaries with engagement and sentiment analytics
Gilbert is a French AI meeting note taker developed by the startup Lexia France, designed and hosted in France with a strong sovereignty focus. It captures meetings live across desktop, mobile and web and automatically produces structured meeting reports that include summaries, decisions and assigned action items. The product is built around proprietary French language models and a custom terminology dictionary that lets users add domain-specific terms, and it offers natural-language search across past meetings. A defining characteristic is its data-sovereignty stance: Gilbert states that data is hosted on OVHcloud infrastructure with SecNumCloud qualification from the French cybersecurity authority ANSSI, that no data crosses the Atlantic, and that it does not rely on third-party model providers. The company lists SOC 2 Type 2, ISO 27001 and GDPR compliance. Gilbert integrates with many business tools, including native connections to Slack, Notion, HubSpot, Salesforce and Teams plus broad coverage through Zapier. It targets French-speaking organizations, particularly those in regulated or sovereignty-sensitive sectors, that want automated French meeting documentation kept entirely within France. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Read.ai generates AI summaries, transcripts, and live notes for meetings, and adds a personalized meeting coach with speaker and engagement analytics. It works across Zoom, Google Meet, and Microsoft Teams, supports 20+ languages, and integrates with Slack, Salesforce, HubSpot, Notion, and Jira. The permanent free plan covers 5 meeting transcripts per month (reports kept about a year); video and audio playback are reserved for the Enterprise tier and above.
Best suited for
Gilbert is a free tier with paid upgrades (freemium); Read.ai is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Gilbert | Read.ai |
|---|---|---|
| Core capability | Live meeting capture across desktop, mobile and web | Transcripts and AI summaries |
| Standout feature | Structured reports with summaries, decisions and assigned actions | Action items |
| Team usage | Proprietary French language models and custom terminology dictionary | Meeting engagement and sentiment metrics |
| Integrations | Natural-language search across past meetings | Automatic recaps |
| Languages & capture | Hosting in France on OVHcloud SecNumCloud infrastructure with no transatlantic data transfer | Searchable notes |
Gilbert
Choose Gilbert if you need generating french meeting reports for sovereignty-sensitive sectors — strengths include strong french data-sovereignty posture with anssi-qualified secnumcloud hosting.
Read.ai
Choose Read.ai if you need team meeting notes and recaps — strengths include adds meeting analytics on top of notes.
Gilbert
Read.ai
It depends on your workflow. Gilbert is strong for generating french meeting reports for sovereignty-sensitive sectors, while Read.ai is strong for ai summaries with meeting analytics. Both transcribe and summarize meetings.
Gilbert is a free tier with paid upgrades and Read.ai is from $15/mo. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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