Ex-Cred executives' AI startup Sol raises $4M to build 'proactive' email assistant
What's the deal? SolDealroom has a profile for this one. Try Dealroom →, an agentic AI startup founded by former Cred executives Anish Karan, Ranjith Nair, and Prateek Srivastava, has raised $4 million in an early-stage round. General Catalyst, Nexus Venture Partners, Z47's DeVC, PeerchequeDealroom has a profile for this one. Try Dealroom →, and Cred founder Kunal Shah backed the deal.
What's the endgame? The startup, emerging from stealth, is building an AI assistant around what it calls "proactive AI." The product scans Gmail for commitments users make, gathers context, then carries out tasks — research, documents, presentations, and meeting coordination — before the user gives final approval.
Why now? Sol has more than 100 users on its pre-launch platform and offers selective access via a waitlist. It plans to open the product more broadly in the coming weeks.
"People whose work runs on email often have to repeat themselves: first on mail, then again when they ask an AI tool to act. There's no good reason for that," Karan told ET.
How it works: Once connected to Google Workspace, Sol builds a contextual understanding of the user — their role, colleagues, and communication style — before acting. It draws on a library of more than 100 specialist skills and is model-agnostic, using different AI models depending on the task.
The company is targeting people with a high volume of commitments where missing one is costly: founders, executives, and those in sales, recruiting, consulting, and agencies. Karan said its main rival is not other assistants but the workflows users have already built around existing AI tools.
What could go wrong? Reliability across varied contexts is the core challenge, Karan said. On security, Sol cannot send, schedule, or share anything without explicit approval, and permissions can be revoked at any time. It has completed a CASA cloud security assessment and holds SOC 2 Type 1 certification, with SOC 2 Type 2 planned.
Where the money goes: The capital will fund R&D, including AI processing and computing costs, hiring, and working with customers across geographies, with some going to go-to-market and scaling. Most near-term hiring will be in the US to stay close to customers there.
The signal: Sol's bet is that the next step for AI assistants is anticipating work rather than waiting for prompts. Backing from General Catalyst, Nexus, and a marquee angel in Kunal Shah signals investor appetite for agentic tools that act with minimal human input — provided they can prove reliable and secure at scale.
Read more: economictimes.indiatimes.com
Image credit: exit78
