Neurospark AI, the San Francisco-based enterprise knowledge platform, announced today that it has closed a $42 million Series B funding round led by Gradient Ventures, with participation from Founders Fund and several strategic angels.
The company, founded in 2023 by Priya Chandran and Marco Delgado, has built what it describes as an 'autonomous knowledge layer' for mid-market and enterprise organizations. The platform ingests documents, Slack threads, meeting transcripts, and internal wikis, then uses a proprietary LLM pipeline to create a continuously updated, searchable knowledge graph.
Since launching its commercial product in early 2025, Neurospark says it has tripled its annual recurring revenue and now serves over 120 enterprise customers across financial services, healthcare, and technology sectors. The company declined to share exact revenue figures but confirmed it has crossed the $20 million ARR threshold — a milestone that put it on the radar of several top-tier growth funds.
Chandran emphasized the urgency of the problem. 'Most companies lose 20 to 30 percent of productivity just because the right information lives in the wrong person's head — or worse, in a Google Doc from 2022 that nobody can find,' she said in an interview. She pointed to a recent internal study conducted with three of Neurospark's largest customers, which found that employees spend an average of 3.2 hours per day searching for information or recreating work that already exists elsewhere in the organization.
The new funding will be used to expand into APAC markets, double the engineering team by Q3 2026, and accelerate development of its upcoming 'Knowledge Copilot' feature, which will proactively surface relevant context during meetings and document creation. Chandran said the copilot feature has been in closed beta with a dozen enterprise clients and has already shown early signs of reducing meeting preparation time by 45 percent.
Gradient Ventures led the round after what partner David Menlo called a 'deeply diligent' evaluation process. Neurospark competed against several well-funded players in the enterprise AI space, but Menlo noted the company's unique retention metrics set it apart. Net revenue retention stands at 142 percent, suggesting that customers are not only staying but expanding their usage significantly over time.
The enterprise knowledge management market is projected to exceed $1.2 trillion by 2028, and Neurospark is positioning itself as a next-generation alternative to legacy platforms like Confluence and SharePoint. The company faces stiff competition from well-capitalized players including Notion, Guru, and Glean, as well as from the AI divisions of major cloud providers who are building their own knowledge tools.
Still, Chandran is confident in Neurospark's differentiation. 'Most of our competitors are building search engines that sit on top of existing tools,' she said. 'We're building something fundamentally different — a system that understands your organization's knowledge the way a 10-year veteran employee would. That's not a feature. That's a moat.'
The company currently employs 87 people across offices in San Francisco, New York, and Bangalore, and expects to surpass 150 employees by year-end.
