Read.ai

Read.ai started as a meeting analytics tool and has since become something broader. As of 2026, its lead pitch is no longer the engagement dashboard that measures talk-time and sentiment, but Ada, an email-based “digital twin,” paired with a connected Search Copilot that answers questions across your meetings, inbox, chats, and documents. The analytics are still there. They are just no longer the reason most buyers show up.

The platform works across Zoom, Google Meet, and Microsoft Teams, and Zoom now lists it among its Essential Apps with premium features enabled. Capture happens through dedicated native desktop and mobile apps as well as browser extensions, so the footprint is more robust than a simple extension. A backing of roughly $81M in funding, including a $50M Series B in late 2024 at a reported ~$450M valuation, has paid for an aggressive run of product expansion, and it shows in how much the surface area has grown.

That expansion is the story. Read.ai is building a knowledge graph that spans meetings and connected services, then putting an agent and a search engine on top of it. Whether that holds together in daily use depends heavily on how many of your tools you connect, but the ambition is real and it is funded.

Key Features

Ada is the centerpiece of the 2026 release. It is an email-based agent that auto-responds to work email, negotiates and schedules meetings in-thread, answers questions using your prior meetings and knowledge base, and handles out-of-office replies, with proactive follow-up actions after meetings. Read says Ada is available to all users, with Slack and Teams support on the roadmap.

The Search Copilot, also called Ask Read, is the other pillar. It unifies meetings, emails, chats, and connected docs from Google Drive, OneDrive, Slack, and Teams into a single natural-language Q&A surface that returns cited answers. Paid customers get direct in-product access to premium models, including OpenAI’s GPT-4.1 and Anthropic’s Claude 3.7 Sonnet, at no extra charge on top of their plan. Read has also shipped an agentic workflow suite, recap, catch-up, and scheduling agents, aimed squarely at cutting the number of meetings people sit through.

The original analytics layer remains. Read.ai still scores meetings on engagement and sentiment, shows talk-time balance and engagement heatmaps, tracks your personal meeting habits over time, and pushes summaries and action items to Slack and email. It is now one capability among several rather than the headline.

Pricing

There are four tiers as of mid-2026, and annual billing knocks 25% off the monthly rate.

The Free plan is $0 and caps you at 5 meeting transcripts per month with a 1-hour meeting limit, but includes summaries, transcription, search, the meeting coach, 20+ languages, and the desktop and mobile apps. Pro is $19.75/mo monthly or $15/mo billed annually; it lifts the transcript cap to unlimited and includes 100 upload minutes a month. One thing to know before you buy: audio and video playback and video highlights are no longer in Pro. They now require Enterprise.

Enterprise is $29.75/mo, or $22.50/mo annually, marked “most popular,” and it adds video playback and highlights along with 200 upload minutes. A newer Enterprise+ tier sits at $39.75/mo, or $29.75/mo annually, adding HIPAA compliance, SAML and SCIM, domain capture, custom data retention, and 300 upload minutes. Independent reviews repeatedly flag the Pro-to-Enterprise jump for video playback as a sore point, since a feature buyers expect at the mid tier sits behind the next one up.

Privacy & Security

Read.ai processes meeting data in the cloud, with SOC 2 compliance and encryption, and HIPAA available on Enterprise+. Two privacy considerations sit alongside the technical posture. First, the analytics features by design collect behavioral data about participants, engagement, talk time, sentiment, which some team members find uncomfortable when it is visible to management. Second, independent reviews continue to flag consent friction: a bot that joins visibly without all-participant consent, organizations that block it for that reason, and a notably low Trustpilot rating in independent write-ups. The new agent and search layers also widen the data Read touches, since Ada and the Search Copilot reach into email, chat, and connected documents. Organizations should weigh the cultural and consent implications, not just the certifications, before rolling it out.

Best For

Read.ai fits teams that want to consolidate meetings, email, and chat into one searchable, agent-assisted layer, and that are willing to connect multiple tools to get there. Managers and organizational-development folks still get the engagement analytics, and anyone drowning in scheduling and follow-up email is the clearest audience for Ada. It is a weaker fit for individual contributors who just want clean notes, for privacy-sensitive teams uneasy about a visible bot and behavioral scoring, and for anyone who needs offline capture.

How Read.ai Compares to Hedy

The comparison has moved since Read.ai’s analytics-first days. With Ada scheduling meetings, drafting email, and setting up follow-ups, plus recap and catch-up agents, Read.ai is no longer purely retrospective. It now takes proactive actions, so the old framing of it as scored-after-the-fact only is out of date. Credit where it is due.

What stays true is the architecture. Read.ai sends everything to the cloud and runs a bot to capture meetings; Hedy runs end-to-end on-device, with transcription, summaries, and real-time coaching all happening locally and no bot joining the call. That on-device design is what lets Hedy work fully offline and keep meeting audio off third-party servers, neither of which Read.ai can match. And while Ada acts proactively between and after meetings, its work is cloud-based and asynchronous; Hedy’s edge is coaching you live, in the moment, during the conversation itself. If your priority is an agent that manages your inbox and schedule across a connected workspace, Read.ai is the stronger pick. If it is privacy, offline reliability, and real-time help while you are actually talking, Hedy is built for that.