Agentic go-to-market automation startup Alta AI Inc. said today it has raised $25 million in an early-stage round of funding as it tries to accelerate its mission to enhance customer acquisition for enterprises.

The Series A round follows a period of explosive growth for the company, which now wants to sustain that momentum by scaling up its platform. IN Venture led the round, which saw participation from Mindset Ventures, Skywell Capital, Leumi77, and existing backers including Entrée Capital, Target Global and Verissimo Ventures.

Israel-based Alta says it’s targeting one of the biggest headaches around corporate sales and marketing operations. Most big companies are forced to make do with highly fragmented go-to-market software stacks, knitting together systems of record such as Salesforce Inc.’s customer relationship management platform with various databases. Though these disjointed systems have done the job until now, they’re showing their weakness as enterprises strive to automate more workflows with the use of autonomous artificial intelligence agents.

The problem is that AI agents simply scale up these broken processes, Alta claims. Instead of driving revenue growth, they lead to flat sales pipelines, lower quality leads and prospect’s inboxes being flooded with generic, automated outreach that rarely converts. Some companies, such as Salesforce and HubSpot Inc., have tried to get around this with their own agent-enablement layers based on Model Context Protocol tools, application programming interfaces and command line interfaces.

Alta believes retrofitting AI onto legacy architectures in this way is a flawed strategy. Rather, what’s needed is an intelligence-native GTM platform that’s built from the ground up to understand business context and orchestrate every single lead and operational touchpoint.

Alta’s solution is a “company brain” that aims to centralize business intelligence and map out how organization’s go-to-market engines operate. Instead of trying to stitch together isolated tools, it deploys a coordinated network of AI agents that all have access to the same centralized business context layer.

Co-founder and Chief Executive Stav Levi-Neumark told SiliconANGLE that Alta connects with more than 50 data sources and 60 different go-to-market tools, including Salesforce, HubSpot, Attio and Clay. Because it sits atop an organization’s existing software stacks, its agents can orchestrate customers across all of those touchpoints, analyze hundreds of buying signals and continuously learn from each new interaction. Over time, its agents learn to handle everything from lead prospecting to deep research to multichannel outbound campaigns and inbound qualification.

“We’re doing for go-to-market what AWS did for infrastructure and the cloud,” Levi-Neumark said. “Transforming a stack of cobbled-together tools that never communicated into one system that simply runs well, learns and drives revenue pipelines and sales.”

It’s a compelling pitch that has generated serious momentum for Alta. Although it only launched last year, less than 12 months ago, it has already grown its annual recurring revenue to more than $15 million, and is on track to double that by the end of the year. Meanwhile, it has added some impressive customers to its roster, including Snowflake Inc., Atlassian Group Corp. and Deel Inc.

The mission now is to keep this momentum going, and today’s capital injection will help Alta to achieve that by scaling its own customer acquisition efforts. On the product side, the startup will enhance its platform by adding deeper data, CRM and advertising platform integrations, while on the AI side, it’s developing new agents that can handle long-term account management and cross-selling workflows.

Alta’s backers say its unified approach is the logical direction for AI agent deployments to go towards, focusing on unifying the fragmented environments they’re forced to juggle around.

“The market spent three years adding tools to the sales stack, but Alta’s team went the other way and built the intelligence layer the entire stack was missing,” said Eitan Naor of IN Venture. “Alta is not competing in a category, it’s defining a new one, and that’s why we wanted to lead this round. We’ve backed a lot of go-to-market software, and this is the first one that actually learns.”

Image: Alta AI