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“The #1 AI Assistant for Your Meetings”

Fireflies.ai is an AI meeting assistant that automatically transcribes, summarizes, searches, and analyzes meetings. The tool supports video conferencing systems, audio/video uploads, meeting search, AskFred, a mobile app, a Chrome extension, an API, conversation intelligence, AI skills, and integrations with CRM, collaboration, and storage tools.
Fireflies.ai

The #1 AI Assistant For Your Meetings

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7.8/10 KIFOX Score – Good

Location: USA Fireflies.ai Corp, 1000 Brickell Ave, Ste 715 PMB 5136, Miami, FL 33131, USA

Meeting Minutes Transcription Summary
Free Free entry with limited transcription, limited storage, AskFred, audio/video file upload, mobile app, Chrome extension and API access according to the pricing page. Subscription Pro For professionals and small teams; includes unlimited transcription, unlimited AI summaries, increased storage, downloads of transcripts/summaries/recordings, Personal Assistant, talk-time analytics, AI skills, voice agents, AI credits, action items, task manager, and unlimited integrations.

Business For growing businesses; includes Pro features plus unlimited storage, video recording, multi-language mode, conversation intelligence, team analytics, more AI credits, and user groups.

Enterprise For large enterprises; includes Business features plus Rules Engine, SSO, SCIM, HIPAA compliance, private storage, custom data retention, Transcript+Summary-only mode, more AI credits, Super Admin, and a dedicated account manager.
Other API Fireflies provides API access for processing audio files and integrating them into your own workflows.

Private Storage Enterprise option for storing meeting data in a preferred location or dedicated storage environment.

AI Credits / AI Skills AI Credits control the use of specific AI features; AI Skills automatically extract follow-ups, scores, insights, and structured meeting data.

Target Audience
Fireflies.ai is designed for freelancers, sales teams, customer success teams, recruiting teams, product managers, agencies, consultants, research teams, healthcare organizations with the appropriate BAA, educational institutions, and companies that want to automatically document and analyze conversations and convert them into tasks or workflows.

Key Features
Fireflies.ai offers automatic transcription, meeting summaries, AskFred, Live Assist, Conversation Intelligence, Speaker Talk Time, Sentiment Analysis, Topic Trackers, AI Skills, Voice Agents, Task Manager, CRM autofill, API, MCP Server, and integrations with numerous productivity tools. The combination of meeting recording, conversation analysis, and workflow automation is particularly strong.

Key Use Cases
Typical use cases include team meetings, sales calls, customer calls, recruiting interviews, product and user research, internal knowledge documentation, podcast and media production, healthcare meetings with BAA, venture capital discussions, engineering reviews, and follow-up automation. Fireflies itself cites use cases such as sales, recruiting, marketing, product and user research, collaboration, engineering, healthcare, podcasting, and real estate.

Usage & Notes
Fireflies.ai can be accessed via the Meeting Bot, calendar/conference integration, file upload, mobile app, Chrome extension, desktop app, and API. Before implementation, companies should determine when the bot is permitted to participate, how participants will be notified, which types of meetings are excluded, how long recordings will be stored, and who will have access to transcripts, audio, video, and summaries. An additional review of data protection and employee participation rights is particularly advisable for sentiment analysis, talk-time analytics, and recruiting/HR meetings.

Target audienceAssessment
Private individualsYes, with restrictions—suitable for notes, interviews, and in-person meetings; ensure consent and data protection.
Self-employed / FreelancersYes – useful for client meetings, interviews, consulting, podcasting, sales, and project discussions.
SMEsVery well suited – excellent for meeting minutes, tasks, CRM updates, team knowledge, search, and integrations.
Large enterprisesYes, with Enterprise – suitable thanks to SSO, SCIM, Rules Engine, Private Storage, Custom Data Retention, Super Admin, HIPAA/BAA, and Enterprise Controls.
Sales / Recruiting / Customer SuccessVery well suited – Fireflies offers Conversation Intelligence, Talk-Time Analytics, AI Skills, CRM integrations, and automated follow-ups.
Developers / Technical TeamsYes – API, webhooks, MCP, integrations, and audio/video processing are available.
Data-sensitive organizationsModerate to good – strong no-training and zero-retention commitments for meeting content; US processing and third-country transfers remain subject to review.

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.

2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.

3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.

4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.

5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.

6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.

7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed ⚠️
Hybrid
DPA / AVV
No training on customer data
Open source / transparency path

On-prem / local hosting: indirect / not available

The website does not mention an on-premises installation or a full installation running locally on the customer’s own infrastructure. It only describes “Private Storage” with a customer-owned storage bucket, while processing remains on Fireflies servers in the U.S.

Private Cloud / Data Center: Partially

The website describes “Private Storage”—that is, dedicated and isolated storage—as well as BYOS on AWS S3 or Google Cloud Storage. This improves control over the storage location but does not replace fully isolated private processing, as processing continues to take place in the U.S.

EU SaaS / Managed: Partially

A self-hosted SaaS service exists, but according to the website, the standard version stores and processes data in the U.S. EU storage is only possible via “Private Storage” and even then without EU processing. Full EU data residency for the managed service is not specified on the website.

Hybrid: Covered

The website effectively describes a hybrid model via “Private Storage”: storage in a customer-controlled bucket—which can also be located in the EU—with simultaneous processing on Fireflies servers in the U.S.

DPA / AVV: Covered

A DPA/AVV is publicly available. It governs processing only upon the customer’s instructions, support for data subjects’ rights, deletion/return, audits, subprocessor obligations, and international data transfers via the Data Privacy Framework and SCCs.

No training: covered

The website explicitly states that personal data and meeting content are not used for AI model training and that third-party providers are contractually prohibited from doing so. Additionally, a “zero-day retention policy” for meeting content with third-party providers is described.

Open Source / Transparency: Indirect / Not Available

Open-source components, open models, or self-hostable parts are not specified on the website. While data export/download and, in some cases, customer-owned storage are positively documented, there is no true open-source/transparency path.

Data Processing

The website describes storage and processing in the U.S. on AWS and GCP for standard use. For Enterprise, there is “Private Storage” or BYOS with dedicated/isolated storage; while data storage may be located in the EU, processing still takes place on Fireflies servers in the U.S., according to the website. The website does not specify an EU-only processing path or full self-hosting.

Conclusion

For EU/EEA users, Fireflies.ai offers some important data protection features, but no fully European hosting or processing path is documented on the website. The most likely scenario is conditional GDPR compliance via a DPA, SCCs/Data Privacy Framework, and optional EU storage in an enterprise setup. Those who require strict EU/EEA data residency—including for processing—or true control over the runtime environment will find no sufficient evidence of this on the website.

Sources

On-prem / local hosting
Private cloud / data center ⚠️
EU SaaS / Managed ⚠️
Hybrid
DPA / AVV
No training on customer data
Open source / transparency path

On-prem / local hosting: indirect / not available

The website does not mention an on-premises installation or a full installation running locally on the customer’s own infrastructure. It only describes “Private Storage” with a customer-owned storage bucket, while processing remains on Fireflies servers in the U.S.

Private Cloud / Data Center: Partially

The website describes “Private Storage”—that is, dedicated and isolated storage—as well as BYOS on AWS S3 or Google Cloud Storage. This improves control over the storage location but does not replace fully isolated private processing, as processing continues to take place in the U.S.

EU SaaS / Managed: Partially

A self-hosted SaaS service exists, but according to the website, the standard version stores and processes data in the U.S. EU storage is only possible via “Private Storage” and even then without EU processing. Full EU data residency for the managed service is not specified on the website.

Hybrid: Covered

The website effectively describes a hybrid model via “Private Storage”: storage in a customer-controlled bucket—which can also be located in the EU—with simultaneous processing on Fireflies servers in the U.S.

DPA / AVV: Covered

A DPA/AVV is publicly available. It governs processing only upon the customer’s instructions, support for data subjects’ rights, deletion/return, audits, subprocessor obligations, and international data transfers via the Data Privacy Framework and SCCs.

No training: covered

The website explicitly states that personal data and meeting content are not used for AI model training and that third-party providers are contractually prohibited from doing so. Additionally, a “zero-day retention policy” for meeting content with third-party providers is described.

Open Source / Transparency: Indirect / Not Available

Open-source components, open models, or self-hostable parts are not specified on the website. While data export/download and, in some cases, customer-owned storage are positively documented, there is no true open-source/transparency path.

Data Processing

The website describes storage and processing in the U.S. on AWS and GCP for standard use. For Enterprise, there is “Private Storage” or BYOS with dedicated/isolated storage; while data storage may be located in the EU, processing still takes place on Fireflies servers in the U.S., according to the website. The website does not specify an EU-only processing path or full self-hosting.

Conclusion

For EU/EEA users, Fireflies.ai offers some important data protection features, but no fully European hosting or processing path is documented on the website. The most likely scenario is conditional GDPR compliance via a DPA, SCCs/Data Privacy Framework, and optional EU storage in an enterprise setup. Those who require strict EU/EEA data residency—including for processing—or true control over the runtime environment will find no sufficient evidence of this on the website.

Sources

Strengths & weaknesses at a glance

Strengths Weaknesses
- Very broad meeting feature set - US provider; standard cloud stores and processes data in the USA at AWS/GCP
- Transcription in 100+ languages according to pricing - Private storage is enterprise-only; even with EU storage, data is processed in the USA according to Fireflies
- Unlimited transcription already in the free/pro/business context, with plan-dependent memory/feature limits - Meeting bots pose high data protection and consent risks
- API access already included in the Free plan - Complete subprocessor list in the Trust Center is access-restricted or not freely readable
- DPA publicly signable - Conversation intelligence, sentiment analysis and analysis functions can be particularly sensitive in HR/employee contexts
- SOC 2 Type II, GDPR, HIPAA/BAA path and Enterprise Private Storage documented
- No training on meeting content according to security documentation

Data last updated: 28. May 2026

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