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Hedy AI vs Tana

Hedy AI and Tana are both meeting assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Hedy AI

Hedy AI

Hedy listens to meetings in real time and pushes coached suggestions — follow-up questions, talking points, smart replies — directly to your screen as the conversation unfolds. It retains context across sessions, so when you walk into the twelfth call with Acme Corp it already knows the history. Notes, key decisions, and action items are captured without you lifting a pen. On-device audio processing is the privacy story: your audio never reaches the cloud, though transcripts are processed transiently. The ceiling appears when you need the tool to act on what it hears — it coaches, it does not execute.

Tana

Tana

The core workflow is: join a call, talk through the work, and let configured agents handle the artifacts. The vendor describes this as 'botless' — participants do not see a recording bot in the call, which removes the social friction that kills adoption on tools like Fireflies or Otter. Agents are configured by describing the workflow in plain language; Tana builds the skills from that description. Integrations cover GitHub, Jira, Linear, Slack, HubSpot, and Google Calendar, with Google Workspace and Microsoft 365 listed as coming. The compounding-knowledge claim — that every meeting feeds a shared context graph so agents never start blank — is the architectural bet that separates Tana from transcript-only tools, and also the one that requires organizational discipline to validate.

AttributeHedy AITana
PricingPaidPaid
Price$99.99/year$20/mo
Free trialNo30 days
Open sourceNoNo
Has APIYesNo
Self-hosted optionNoNo
PlatformsiOS, Android, macOS, Windows, Apple Watch, Web
Released2024-06
Pros
  • Live in-meeting coaching suggestions delivered as the conversation unfolds, so you get the sharp follow-up question when it can change the outcome — not in a recap you read an hour later.
  • Cross-session memory organized by client or topic, which means you walk into a recurring meeting already briefed on prior decisions and open questions without manually reviewing old notes.
  • On-device audio processing with transient cloud transcript handling, so the vendor's privacy claim holds up under scrutiny for teams that cannot let conversation audio sit on a third-party server.
  • 30-plus language support with a custom vocabulary option, so non-native speakers and domain-specific teams — medical, legal, technical — get suggestions in context rather than generic filler.
  • Automatic extraction of action items, key decisions, and highlights after each session, so the post-meeting admin work that typically falls through the cracks is done before you close the call.
  • Botless call presence — agents operate inside the meeting without a visible recording bot joining the call — so participants do not self-censor and adoption friction drops compared to tools that announce themselves to every attendee.
  • Plain-language agent configuration, so an operations lead can describe a workflow in prose and get a working agent without writing code or hiring someone who can.
  • Bidirectional integrations with Jira, Linear, GitHub, Slack, and HubSpot, which means issues and tasks land in the tracker where engineers actually work rather than sitting in a meeting notes doc nobody revisits.
  • Compounding knowledge graph across meetings, so agents preparing for next week's all-hands pull last week's committed decisions rather than asking someone to re-summarize what was covered.
  • LLM-agnostic architecture, so switching inference providers when cost or capability shifts does not require rebuilding the agent configuration.
Cons
  • Hedy coaches; it does not act. When a sales team wants a completed client call to automatically log notes to a CRM or create a follow-up task in their project tracker, the Zapier integration requires a human to trigger it — teams with high call volume end up building that automation layer themselves or abandoning Hedy for a tool that closes the loop without manual intervention.
  • The five-hour monthly ceiling on the free tier hits fast for anyone using Hedy daily across back-to-back meetings — a full workday of calls can consume a week's allocation, forcing an upgrade decision earlier than expected.
  • Hedy is not self-hosted, and while the vendor offers EU data residency, organizations with strict data sovereignty requirements that prohibit any cloud transcript processing — even transient — cannot use the tool in its current architecture.
  • Google Workspace and Microsoft 365 integrations are not available; the vendor lists both as coming with an ETA of Q3 2026. Teams whose calendar, docs, and email live in either ecosystem hit a hard wall on the integrations that would make artifact routing automatic — they bridge the gap manually or wait.
  • Agent quality is a direct function of workflow description quality. Teams that invest time in configuring skills precisely get specific, routable outputs; teams that do not get a well-organized transcript at best. There is no default agent behavior sophisticated enough to substitute for deliberate setup, which means the first two weeks look more expensive than a transcript-only tool.
  • The knowledge graph compounds only if meetings happen consistently inside the platform. A team that routes some standups through Tana and others through a separate recorder ends up with a fragmented context store — agents surface incomplete histories and the compounding-intelligence premise breaks down. Teams that hit this fragmentation typically either mandate full migration or abandon the graph-based features and use Tana as a transcript tool, at which point the cost-to-value comparison against simpler alternatives shifts unfavorably.
Bottom line

Only Hedy AI exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Hedy AI and Tana?

Hedy AI is Paid, while Tana is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Hedy AI better than Tana?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.

Hedy AI vs Tana: which should I pick?

Pick Hedy AI if its pricing model, openness, or platform fit matches your constraints; pick Tana otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.