- What Fellow Does Well
- What Read.ai Does Well
- What Jarvey Does Differently
- Side-by-Side Comparison
- Which One Is Right for You?
- FAQs
- The Bottom Line
AI meeting assistants capture what was said, but many also offer search, task integrations, or live assistance. Fellow, Read.ai, and Jarvey all support meeting workflows, but they differ in how they help during and after calls. That difference matters when your team needs help following through on what they agreed to.
This comparison is for founders and team leads who are tired of polished summaries that nobody acts on. The question is which tool helps your team turn agreements into work.
What Fellow Does Well
Fellow is a structured meeting management platform with features that support agendas, shared notes, action items, and follow-up.
Compliance and Security
For teams in regulated industries, Fellow's security posture is a meaningful differentiator. Fellow reports SOC 2 Type II compliance and states that it is GDPR and HIPAA compliant. It lists HIPAA / BAA compliance on Enterprise. These are distinct commitments: GDPR and HIPAA are laws, not certifications. Fellow also states that it never trains models on your meeting data.
It also supports botless recording, so you can capture audio without a visible bot on the call. Fellow says internal participants receive a recording indication, while external guests receive no in-platform notification from its desktop botless mode. Organizations remain responsible for informing external participants where required.
Ask Fellow and Cross-Meeting Search
Ask Fellow lets you search across your meeting history to surface past decisions, action items, or context. That's useful when you need to remember what was committed to three sprints ago. It operates through a personal chat panel rather than answering aloud to the room. It can also draft documents and help with meeting workflows, so its role extends beyond retrieving notes.
Fellow also supports action-item syncing to project management tools. AI-suggested action items can be accepted manually or through an optional auto-accept setting, after which they sync to configured integrations.
Pricing and Access
Fellow runs a freemium model, which makes it easy to get started. Its free plan includes five AI notes and five AI recordings per user over the lifetime of the account. Paid tiers unlock more recording capacity, meeting automations, and project management integrations. If your primary needs are structured agendas, async collaboration, and a searchable record of past meetings, it's a solid fit.
During a live call, Ask Fellow works through the user's panel. Shared agendas, notes, and action items can benefit the team, while spoken ownership questions offer a different form of assistance to the group.
What Read.ai Does Well
Read.ai leans into analytics. It tracks engagement signals during meetings, including talk time and estimated engagement, and combines sentiment and engagement into its Read Score. These are model-generated assessments rather than direct measurements of what participants are thinking. Read says video and facial elements are excluded from these scores for EU and UK users, and users can disable the affective metrics in settings.
Meeting Coach and Engagement Analytics
Read.ai provides meeting feedback on talk-time distribution, filler words, speaking speed, and engagement signals. Its live dashboard also provides transcription, summaries, and metrics during the meeting. For managers focused on improving how their team runs meetings over time, that data can be useful.
Read.ai also supports search across meeting transcripts and connected sources such as Slack and email, including cross-source questions. Its calendar integrations support scheduling and control which meetings it joins. Its Slack integration supports automatic sharing of notes and action items.
Where Read.ai Gets Complicated
Read.ai's auto-join and report-sharing settings need attention during setup. Its account-creation guide warns that users sometimes skim those settings and are surprised when Read starts joining meetings or sharing reports. Another attendee's configured account can bring it into a call, which can explain an unexpected appearance.
Read.ai also publishes privacy safeguards. It reports SOC 2 Type II compliance, states GDPR compliance, offers a DPA for eligible Workspace customers, and supports HIPAA arrangements with a BAA. It encrypts stored data and traffic, and says model training on meeting content requires explicit opt-in.
Read.ai also offers botless capture and task integrations. Its desktop app can record computer audio without adding a participant, and its Jira integration lets users push action items into issues with a click.
Read.ai's live metrics can help people adjust the meeting while it happens. Its dashboard and task workflows differ from Jarvey's optional spoken questions about agenda drift and unowned work.
What Jarvey Does Differently
Jarvey is built around helping teams follow through, both during the call and afterward.
It Speaks Aloud in the Room
Jarvey joins Google Meet, Zoom, and Microsoft Teams as a visible, named participant. By default, it stays quiet until someone says "Jarvey," then answers aloud to the whole room using web search or context from the team's earlier calls.
The team can also turn on optional process prompts. Jarvey can ask what the meeting is about at the start. When the conversation drifts off-topic, it can ask whether to add the topic or return to the agenda. These prompts are off by default.
A dashboard showing that the meeting went off-track is useful for retrospectives. With the agenda prompt enabled, Jarvey can ask, "Do you want to add this topic or return to the agenda?" That gives the group a chance to choose what happens next.
It Asks Who Will Take Unowned Work
One recurring failure mode in meetings is agreeing that something needs doing without deciding who will take it. Everyone nods, nobody takes responsibility, and by Friday it's forgotten. When the team enables its ownership prompt, Jarvey can ask who will take agreed work that has no owner.
The question comes while the group still shares the context. Jarvey asks; the team decides who will own the work. It does not read back or confirm every commitment, owner, and deadline before everyone hangs up. This prompt is also off by default.
Automatic Task Push and Deadline Chasing
After the call, Jarvey writes to Notion, Jira, Linear, Trello, Slack and Telegram. That carries meeting outcomes into the places where the team works. It does not support Asana or ClickUp.
For follow-up, the team chooses private Slack DMs or email. Jarvey reminds owners politely first and more firmly before the next call. For overdue work, it can post in a Slack channel the team picks. That helps close the accountability loop: the meeting ends, the work reaches the team's tools, and owners receive reminders afterward.
Compliance and Data Handling
Jarvey's Data Processing Agreement is available at jarvey.io/dpa. Traffic uses TLS, and its host encrypts the database at rest. Jarvey does not train any model on your calls. It is not end-to-end encrypted.
Jarvey has no completed SOC 2 audit and does not claim HIPAA or other certifications. If your organization requires an audited security framework or a HIPAA BAA, evaluate Fellow's or Read.ai's applicable plans and contractual commitments against those requirements.
Pricing
Jarvey costs $59 per user per month billed monthly, or $29 per user per month billed annually ($348 once a year). Enterprise pricing is available through sales. Prices are in US dollars, per user, before tax.
A new account can run one demo call with Jarvey during sign-up, before choosing a plan. Plan details are in the pricing section.
Side-by-Side Comparison
Features and pricing below reflect the vendor information checked for this October 2026 comparison. Annual rates require yearly billing.
| Feature | Jarvey | Fellow | Read.ai |
|---|---|---|---|
| Speaks aloud during the call | When someone says "Jarvey" | No | No |
| Asks the room about agenda drift | Optional; off by default | No | Live metrics, without a spoken prompt |
| Asks who will take agreed work with no owner | Optional; off by default | No | No |
| Pushes tasks to PM tools | Yes | Yes; accepted action items sync through configured integrations | Yes; manual push to Jira and other supported tools |
| Increasingly firm owner reminders | Slack DMs or email; firmer before the next call | No | No |
| Cross-meeting search or answers | Answers from the team's earlier calls when asked | Yes (Ask Fellow) | Yes |
| Engagement analytics / meeting coach | No | Meeting participation and attendance stats | Live metrics and coaching reports |
| Botless recording option | No | Yes | Yes |
| SOC 2 audit and compliance statements | No completed SOC 2 audit; DPA available | SOC 2 Type II; states GDPR and HIPAA compliance; Enterprise BAA support | SOC 2 Type II; states GDPR compliance; HIPAA support with applicable arrangements |
| Model training on meeting data | Does not train any model on your calls | States it never trains on your data | No training by default; explicit opt-in program |
| Pricing (monthly billing) | $59/user/month | Free plan + paid tiers | Pro $19.75/user/month |
| Pricing (annual billing) | $29/user/month ($348 once a year) | Free plan + paid tiers | Pro $15/user/month |
Which One Is Right for You?
Choose Fellow if you need its security and compliance commitments, botless recording, structured agendas, a searchable meeting archive, or action-item syncing to your project management tools.
Choose Read.ai if engagement analytics and meeting coaching are the priority, and you want live metrics alongside search across meetings and connected work sources. Review auto-join, report-sharing, and training settings during setup.
Choose Jarvey if your core problem is that meetings produce commitments that don't get followed through on. Jarvey combines spoken answers when asked, optional questions about agenda drift and unowned work, and reminders to owners afterward. The team chooses whether to enable the process prompts.
FAQs
Does Jarvey replace a human meeting facilitator? Not exactly. Jarvey answers aloud when someone says its name. With process prompts enabled, it can ask about the meeting's purpose, agenda drift, and work without an owner. Afterward, it writes to connected tools and follows up with owners. It doesn't replace the judgment a skilled facilitator brings to complex interpersonal dynamics.
Can Jarvey join calls without being visible to other participants? No. Jarvey joins Google Meet, Zoom, and Microsoft Teams as a visible, named participant everyone sees. Its spoken answers and optional process questions are addressed to the whole room.
Does Fellow actually intervene during a live call? Ask Fellow operates through a personal chat panel rather than speaking to the room. Fellow also supports shared agendas, notes, and action items, so the team can benefit during the call. It has no documented equivalent to Jarvey's optional spoken process prompts.
Why might Read.ai's bot join a call unexpectedly? Read.ai can automatically join based on a connected attendee's calendar and auto-join settings. Its help center warns that users may be surprised if they skim those settings during setup. You can restrict or disable auto-join for your account, but another attendee may still have it enabled.
What project management tools does Jarvey connect to? After the call, Jarvey writes to Notion, Jira, Linear, Trello, Slack and Telegram. It does not support Asana or ClickUp. Owner reminders go through the team's choice of private Slack DMs or email, and overdue work can be posted in a chosen Slack channel.
How does Jarvey handle meeting data privacy? Jarvey does not train any model on your calls. Traffic uses TLS, and its host encrypts the database at rest. It is not end-to-end encrypted and has no completed SOC 2 audit. Its Data Processing Agreement is at jarvey.io/dpa.
Who is Jarvey best suited for? Founders and team leads running recurring meetings where follow-through is the bottleneck. If your team consistently leaves calls with clear intentions that don't translate into completed work, Jarvey's optional ownership questions and owner reminders address that gap.
The Bottom Line
Fellow and Read.ai are both capable tools that go beyond summaries. Fellow supports structured agendas and action-item syncing. Read.ai offers live analytics, cross-source search, and task integrations. These workflows help teams manage meetings and their outcomes.
Gaps in accountability can appear when work is agreed without an owner, when the conversation drifts, or when a task reaches the board but nobody follows up.
Jarvey combines answers when asked with process prompts the team can turn on and reminders after the call. If that's the problem you're trying to solve, you can run one demo call during sign-up before choosing a plan.