Read.ai today announced Search Copilot, an AI-powered engine that retrieves and synthesizes insights from workplace communications. The idea is to have a cross-platform intelligence engine to organize communications across meetings, emails, chats, cloud storage, and CRM systems.
Powered by Read.ai’s Free Agent, the idea is to capture and retain institutional knowledge – something that’s otherwise scattered throughout several platforms and daily workplace interactions. By bringing it all together in one place, it’s meant to make executives smarter about what’s happening around them.
“Out of office for the last week?” posed Read.ai founder & CEO David Shim, “Simply ask Search Copilot, ‘What were the most important topics discussed by the team this week?’
“Instead of asking your sales team to update HubSpot by EOD Friday,” Shim posed as a second example, “Sellers can simply type, ‘write a HubSpot deal update based on conversations across sales and client services?’
Next Logical Step
This is a logical step for Read.ai, given its core product and how that has expanded. It started as a way to get better analytics from video calls – individually and in the aggregate – such as what was discussed, what topics resonate most with participants, and what intelligence and takeaways can be extracted.
In addition to capturing meeting notes and other things that are often lost or frozen in the past, Read.ai’s analytics unlocked macro insights to optimize productivity. For example, it could be discovered that everyone tunes out after 17 minutes of the average meeting. So have 15-minute meetings.
Then it began to expand its analytics engine into all the other places that people interact at work, such as Slack, email, and other channels noted above. Now, Search Copilot brings it all together with a front-end agent to help unearth knowledge that’s otherwise siloed throughout all these channels.
“Meeting summarization is what Read AI has historically done best, with a multi-modal approach that other meetings notetakers lack,” Shim told Localogy Insider. “This advantage in summarization has expanded out to email and messages, providing more context than a meeting alone. With Search Copilot, we’re entering the age of discovery, where search results are replaced with answers.”
Outcomes & Endgames
To quantify that a bit, Read.ai claims to index more than 600,000 distinct content entities per user. You can think of this sort of like a knowledge graph. In fact, there’s a distinct knowledge graph per individual at a given company, as well as a collective and aggregate knowledge graph, unique to the company.
In fact, Shim tells us that the average corporate employee touches 11 applications per day on average. Inherently, this counteracts a common challenge with AI engines in that there’s not enough data on which they can train. But will all of these internal content sources, there are robust levels of inputs.
“Using Free Agent, the more content you have connected across platforms (ex. Gmail, Notion, HubSpot), the more relevant and accurate the answers you receive,” said Shim.
Search Copilot is available today as a free feature of Read.ai. This should entice more users in that it breathes new life and utility into the platform. Moreover, it makes Read.ai more actionable. Reams of data are one thing… The ability to turn them into actionable insights and outcomes is Read.ai’s endgame.
“Search Copilot is designed with outcomes as its foundation,” said Shim. “If you listen to the hype, 2025 is set to be the year of the AI agent, yet in reality, it’s just another clickbait title like AI wrappers, AI browsers, AI apps. Buzzwords won’t drive mainstream adoption, what will drive adoption is outcomes.”
