Atolio Raises $24 Million in Series A to Expand Privacy-First AI Enterprise Search Platform
Atolio, a private-AI enterprise search platform founded in 2019, has raised a total of US $24 million in funding as it accelerates product development and market expansion. The Series A round was led by Translink Capital, with participation from investors including IBM Ventures, Bloomberg Beta, Acorn Pacific Ventures, and Parameter Ventures.
Atolio’s platform is designed to help large organisations securely deploy AI-powered search across distributed, siloed systems of information—while keeping full control of enterprise data. The company highlights that it has already secured several seven-figure contracts in recent quarters as evidence of traction and market demand.
The fresh capital will be directed toward building out its engineering and go-to-market teams, developing the next version of its product (including a large rollout of “permission-aware connectors” into customer systems), and scaling global commercial operations. Atolio emphasises that its fully private architecture is a distinguishing factor: the system can be deployed on-premises, in private cloud or air-gapped environments so that no sensitive data leaves a client’s infrastructure.
According to the company, nearly all organisations across major industries face the challenge of knowledge being locked in fragmented systems and tools. By offering a unified conversational interface—covering question-answering, expertise discovery and search—that ties into existing enterprise apps, Atolio aims to unlock institutional knowledge for sales, marketing, product, and customer-facing teams. Its founding team comprises leaders with backgrounds in security and enterprise software, and they describe the platform internally as analogous to “Splunk for unstructured data.”
Atolio’s CEO, David Lanstein, has stated that the company is “excited to build on our leadership as the safe and secure way that enterprises connect siloed systems of information” and that Atolio exists to help clients access and leverage decades of accumulated knowledge to run their operations better. The company adds that prior to launching the product it engaged directly with hundreds of senior CIOs and CTOs to understand real-world pain points around information discovery and knowledge search.
The investor lineup adds strategic value beyond capital: Translink Capital brings access to a network of large enterprises; IBM Ventures offers channel reach in the enterprise IT space; Bloomberg Beta provides a track record of backing emerging AI software; and Acorn Pacific Ventures contributes cross-border growth potential. With this backing, Atolio is positioning itself to address a surging demand for generative-AI-driven enterprise tools that also satisfy privacy, security, and compliance requirements.
Notably, Atolio’s client examples include large organisations in education and other regulated sectors. One customer cited the value: “We are investing in automation to drive internal efficiencies… with products such as Atolio to improve availability of product and customer information to sales and marketing teams and reduce the effort required to find answers to day-to-day problems.”
Looking ahead, Atolio plans to scale aggressively both in its home market and internationally. With the newly raised funds, the company intends to roll out more than 100 new connectors (meaning integrations with major enterprise systems), accelerate global hiring across engineering, sales, and customer success, and expand distribution via partners. The goal is to move from early enterprise deployments into broad commercial adoption and to establish the platform as the standard for secure AI-enabled enterprise search.
Atolio’s US $24 million funding round and strategic investor backing underscore the growing enterprise appetite for privacy-first AI search technology. The company’s emphasis on data security, deployment flexibility, and knowledge discovery positions it for growth at a time when organisations face increasing pressure to unlock and govern their digital knowledge assets.
