Fellow vs Jamie AI: AI Meeting Assistant 2026 Comparison
Feb 9, 2026
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9
MIN READ
AI Summary by Fellow
Jamie AI has positioned itself as a privacy-focused, bot-free note-taker, but Fellow delivers everything Jamie does — including botless recording — plus the organizational depth, integrations, and security certifications that growing teams actually need.
Jamie has been around longer in the bot-free space, but Fellow has built a platform that scales from individual contributors to enterprise deployments without compromising on accuracy or governance.
As an online in-depth review of Jamie AI concluded, Jamie "is a great fit for small teams or solo users who don't have tons of calls every week (think around 5 to 10)" but noted its "limited integrations" and "clunky" app experience hold it back for larger teams.
Fellow, by contrast, is built for exactly those larger, more demanding workflows — and performs just as well for individuals who want a polished, bot-free experience.
Fellow vs Jamie AI at a glance
Feature | Fellow | Jamie AI |
|---|---|---|
Transcription accuracy | 95%+ | Inconsistent — individual reviewers report frequent errors requiring manual correction |
Languages supported | 92 | 20+ (claims 99+ on homepage, but third-party reviews cite ~20 usable languages) |
Recording options | Bot + botless (user's choice) | Botless only (desktop app) |
Video recording | ✅ | ❌ |
Free plan | Unlimited AI recording, recaps, and transcriptions | 10 meetings/month, 30-min limit |
Native integrations | 50+ (Asana, Jira, HubSpot, Slack, Notion, and more) | Google Calendar and Outlook only |
Action items | Auto-detected and synced to PM tools | Detected but no PM tool sync |
Cross-meeting AI intelligence | Ask Fellow (query all meetings) | Executive Assistant Sidebar (limited) |
API / MCP Server | ✅ Both available | ❌ No API |
Mobile app | iOS and Android | iOS only |
SOC 2 Type II | ✅ Certified | Not listed |
HIPAA compliant | ✅ | Not listed |
GDPR compliant | ✅ | ✅ (EU data residency in Germany) |
Platform support | Zoom, Google Meet, Teams, Slack huddles, in-person | Any platform via desktop audio capture |
AI transcription accuracy and note quality
Transcription accuracy is the foundation of any AI meeting notes tool. If the transcript is unreliable, every downstream feature — summaries, action items, search — degrades with it.
Fellow consistently delivers 95%+ transcription accuracy across 92 languages, a figure validated through extensive third-party testing.
As Aron Kantor from The Business Dive noted after testing 20+ AI note-takers over 2+ years, Fellow's accuracy stands out even with technical jargon, multiple accents, and fast-paced conversations.
Jamie AI's transcription quality, by contrast, is a recurring concern among reviewers.
Bluedot's review found that Jamie is "fine for light users who want basic summaries without fuss" but noted its "slow processing" as a limitation.
On Trustpilot, one user reported that in larger meetings with seven or eight participants, Jamie "often fails to pick up the complete number of people and an entire participant can be left out of minutes as a result."
The Stackfix comparison between Jamie and Bluedot also observed that Jamie's AI assistant is "painfully slow and often provides verbose, unhelpful answers, even struggling with basic comparisons between meetings."
For teams where every detail matters — sales calls, client meetings, board discussions — Fellow's accuracy advantage isn't marginal. It's the difference between trusting your notes and spending time manually verifying them.
→ Try Fellow free with a 14-day trial and see the accuracy difference for yourself.
Recording flexibility: bot, botless, or both
Jamie AI built its brand on bot-free recording, and it does this reasonably well. The desktop app captures system audio without any meeting bot joining the call, which keeps the experience discreet for all participants.
But Fellow offers the same bot-free recording capability — and adds a traditional bot option on top of it:
This means teams can choose their preferred recording method based on the situation, and both modes operate under the same enterprise governance, privacy controls, and security standards.
Even users who specifically want a bot-free experience get more with Fellow: the same discreet recording, paired with superior accuracy, deeper integrations, and organizational features that Jamie lacks.
Jamie's botless-only approach also comes with trade-offs that individual reviewers have flagged. Because it relies on desktop audio capture, users must manually start and stop recordings, and the Bluedot review noted this "requires using a separate app" and "may require some attention during calls."
Fellow's bot mode automates recording entirely — join the meeting, and Fellow handles the rest.
Additionally, Fellow supports video recording, while Jamie only captures audio. For teams that need to review visual context — screen shares, slide presentations, or participant reactions — this is a meaningful gap.
Integrations: where Fellow pulls far ahead
This is arguably the biggest differentiator between the two platforms.
Fellow offers 50+ native integrations with the tools teams already use: Asana, Jira, ClickUp, HubSpot, Salesforce, Slack, Notion, Linear, and many more.
Action items from meetings in Fellow don't just live as text in a summary — they sync directly to project management tools with assignees, due dates, and context.
Fellow also provides an API and an MCP Server that connects to Claude, ChatGPT, and Cursor, plus compatibility with Zapier and n8n for access to 8,000+ additional apps.
Jamie AI, by contrast, integrates with Google Calendar and Outlook — and that's essentially it. As an online review of Jamie alternatives bluntly stated, "Jamie's entire website lacks any information regarding integration with third-party platforms, such as CRM platforms, task management apps, or other documentation tools. Having to sync these manually defeats the point."
Another online reviewer reached a similar conclusion, noting Jamie's "minimal integration capabilities" and the fact that "apart from calendar syncing, it lacks integration with popular CRMs or productivity tools, requiring manual meeting data transfers."
For any team that needs meeting insights to flow into their existing workflows, this gap alone makes the decision straightforward.
Cross-meeting AI intelligence
Fellow's Ask Fellow feature lets users query across all meetings they have access to.
Need to know where projects are getting blocked?
What commitments are at risk? What a client said about their budget three weeks ago?
Ask Fellow searches the entire meeting recordings library and surfaces answers with context.
Jamie offers an Executive Assistant Sidebar (accessible via keyboard shortcut) that can answer questions about past meetings and draft follow-up emails. However, the Stackfix comparison found that Jamie's cross-meeting analysis, while present, "isn't highly accurate" and that its search function is "more limited, forcing users to use global search even for within-meeting queries."
For organizations where meeting intelligence needs to inform decisions at scale — across departments, projects, and time — Ask Fellow's organization-wide scope is a significant advantage.
Quotes from Jamie AI users who switched to Fellow
Based on conversations with customers who previously used Jamie AI, several consistent themes emerged around why they made the switch.
"I was spending more time fixing notes than writing them myself"
One Sales Manager shared their frustration with Jamie's transcription quality:
"Jamie is really bad. I mean, it really doesn't take that good notes... you need to check it twice. If they just do the transcription, but you still need to go to the app, check all what you said, and there are so many mistakes. So it doesn't really make sense to use the app again."
The core issue — having to double-check and correct transcripts — defeats the purpose of an AI note-taker entirely. Fellow's 95%+ accuracy eliminates this back-and-forth for the vast majority of meetings.
"The notes just didn't capture enough detail"
Another Sales Manager noted that Jamie's summaries lacked the depth they needed:
"It's not that in detail, it doesn't take that much notice in detail and I really don't like the version of it how it came out."
Fellow's AI generates structured AI meeting notes that capture key discussion points, decisions, and action items with enough granularity to serve as a reliable record — whether for internal alignment or client-facing follow-ups.
"The price just didn't match the value"
A Business Manager in the music distribution and professional sound space acknowledged Jamie's strengths but couldn't justify the cost:
"Jamie is way more expensive than Fellow, and Fellow offers more integrations and control."
When you factor in Fellow's lower per-user pricing, unlimited free tier, and vastly broader feature set, the value equation tilts heavily in Fellow's favor.
Pricing comparison and value breakdown
Plan | Fellow | Jamie AI |
|---|---|---|
Free | 5 AI notes/user | 10 meetings/month, 30-min limit, 20 assistant messages/day |
Paid (entry) | $7/user/month (Team) | €24/user/month (~$26 USD) Standard — 20 meetings/month |
Mid-tier | $15/user/month (Business) | €47/user/month (~$51 USD) Pro — 50 meetings/month |
Enterprise | $25/user/month | €99/user/month (~$107 USD) Executive — unlimited meetings |
The pricing disparity is substantial.
Fellow's Team plan at $7/user/month includes more features than Jamie's Standard plan at roughly $26/user/month.
For a team of 10 on a mid-tier plan, that translates to $150/month with Fellow versus approximately $510/month with Jamie — more than three times the cost for fewer integrations, no video recording, and no API access.
Jamie's pricing drew criticism even from users who liked the product. ellow now offers equivalent bot-free privacy features at a fraction of the price, along with SOC 2 Type II, GDPR, and HIPAA compliance.
Enterprise security and compliance
For organizations in regulated industries or those handling sensitive data, security certifications aren't optional — they're requirements.
Fellow holds SOC 2 Type II certification, is GDPR compliant, and is HIPAA compliant. Fellow never trains on customer data, and access is permission-based and aligned to organizational roles.
Jamie AI is GDPR compliant with EU data residency in Germany. Audio is deleted after transcription, and data is encrypted with AES-256 in transit and at rest. However, Jamie does not publicly list SOC 2 Type II or HIPAA compliance — certifications that many enterprise procurement teams require before approving a tool.
Fellow holds both, giving it a clear edge for security-conscious organizations regardless of geography.
For organizations that need to check all the compliance boxes, Fellow's Security and Trust Centre provides the documentation and certifications that procurement and IT security teams expect.
Who should choose Fellow
Fellow is the right choice across the board — whether for individual professionals who want accurate, bot-free meeting notes or for organizations that need transcription across dozens of languages, action items that automatically flow into project management tools, cross-meeting intelligence at the organizational level, and enterprise security certifications.
Fellow matches every strength Jamie AI offers while adding the depth, integrations, and scalability that Jamie lacks.
If meetings are a core part of how a team operates — and the insights from those meetings need to drive accountability and action — Fellow is purpose-built for that workflow.
Where Jamie AI falls short
Jamie AI has built a clean product, but the gaps are hard to overlook: inconsistent transcription accuracy that individual reviewers say requires manual verification, pricing that runs three to four times higher than Fellow's comparable plans, virtually no integrations beyond calendar syncing, no video recording, no API, no SOC 2 or HIPAA certification, and a free plan capped at 10 meetings per month. For teams evaluating AI meeting assistants, these limitations add up quickly.
→ Ready to see the difference? Start your 14-day free trial of Fellow — no credit card required.
Frequently asked questions
Do both Fellow and Jamie AI offer botless recording?
Yes. Both Fellow and Jamie AI offer bot-free recording, but Fellow adds a traditional bot option on top of it — giving teams more flexibility and control over how their meetings are recorded. Fellow also includes video recording, automated meeting joins, and the same enterprise-grade governance across both recording modes, which Jamie lacks.
Does Jamie AI integrate with CRM and project management tools?
Jamie AI currently integrates with Google Calendar and Outlook only. It does not offer native integrations with CRM platforms like HubSpot or Salesforce, nor with project management tools like Asana, Jira, or ClickUp. Fellow offers 50+ native integrations plus an API and MCP Server for custom workflows.
How does Jamie AI's pricing compare to Fellow's?
Jamie AI's paid plans start at €24/user/month (~$26 USD) for 20 meetings per month, while Fellow's Team plan starts at $7/user/month with significantly more features. Fellow's free plan also offers unlimited AI recording and transcription, compared to Jamie's 10-meeting monthly cap with a 30-minute limit.
Is Jamie AI SOC 2 and HIPAA certified?
Jamie AI does not publicly list SOC 2 Type II or HIPAA certification. The platform is GDPR compliant with EU data residency in Germany and uses AES-256 encryption, but teams requiring SOC 2 or HIPAA compliance should note that Fellow holds both certifications.
Can Jamie AI search across multiple meetings?
Jamie AI offers an Executive Assistant Sidebar that can query past meetings, but third-party reviewers have noted its cross-meeting accuracy is limited. Fellow's Ask Fellow feature provides organization-wide meeting intelligence, allowing users to search across all meetings they have access to and surface specific decisions, commitments, and context.
Record, transcribe and summarize every meeting with the only AI meeting assistant built from the ground up with privacy and security in mind.






