AlphaSense
AlphaSense is an artificial-intelligence-powered market intelligence platform headquartered in New York City, founded in 2011 by Jack Kokko and Raj Neervannan. It aggregates company filings, earnings and event transcripts, broker and equity research, expert-call transcripts, news, trade publications and clients' own internal documents into a single searchable library — described in 2026 as more than 500 million documents — and uses semantic and generative AI search to surface answers in seconds. Its customers are the world's largest financial institutions and corporations: the company reports thousands of enterprise customers, including, at its latest funding, a large majority of the S&P 500 and top investment banks, with named customers including Microsoft, Nvidia, Amazon, Adobe, Pfizer and JPMorgan Chase. AlphaSense is included in this directory of news and information agencies because, functionally, it is how many professionals now consume business news and research: not outlet by outlet, but through one intelligence layer that searches across all of them.
Founded in 2011 From a Research Frustration
AlphaSense was founded in New York in 2011 by Jack Kokko, its chief executive, and Raj Neervannan, its chief technology officer. Kokko, a former Morgan Stanley investment banking analyst, built the platform to solve a problem he had lived: financial and corporate research meant hours of manual searching — effectively pressing control-F across thousands of PDF documents — to find a single figure, quote or disclosure. The company's answer was an AI-based semantic search platform that captures variations in human language and recognises millions of business and financial terms and their synonyms, so that a search understands concepts rather than merely matching keywords. The initial commercial platform for financial analysts launched in 2013. That founding insight — that the bottleneck in professional research was not access to documents but the ability to find the right passage inside them — positioned AlphaSense differently from the terminal and database providers it would come to compete with.
What the Platform Searches
The AlphaSense universe of public and private content includes company filings, event transcripts, expert calls, equity research, news and trade journals, and clients' own research content. In practical terms that spans regulatory filings such as United States securities filings, earnings-call and conference transcripts, broker research from Wall Street firms, news coverage, and specialist trade publications — the raw material of investment and strategy decisions. Through partnerships announced with leading investment banks, the company broadened corporate users' access to Wall Street research on the platform. Its Enterprise Intelligence offering lets clients securely ingest and search their own internal content alongside that external library, so a company's internal reports and the market's documents can be interrogated in one place. Later product development added generative search — natural-language questions answered with cited, analyst-grade insights — and features such as Smart Summaries, launched in 2023, which integrated generative AI into core research workflows.
Who Uses AlphaSense
AlphaSense serves investment firms, banks and corporations, and its customer milestones chart its expansion. By 2019 it had surpassed 1,000 enterprise customers and 300 employees across offices in the United States, the United Kingdom, Finland and India, with more than half of the S&P 100 among its clients. By the time of its 2022 funding it reported about 3,500 customers, by 2024 more than 4,000 enterprise customers including a majority of the S&P 500, by March 2025 about 6,000 client firms including 88 per cent of the S&P 100, and in 2026 more than 7,000 enterprise customers, including, by its reporting, 90 per cent of the S&P 100, nearly 70 per cent of the S&P 500 and 90 per cent of the top investment banks. Named customers in its 2026 funding coverage include Adobe, Amazon, Microsoft, Nvidia, Pfizer and JPMorgan Chase. The Finnish roots of its founding team are reflected in its early international footprint, with Helsinki among its established offices alongside New York.
Funding: From Series A to Unicorn
AlphaSense's growth was financed through a rapid succession of venture rounds. It completed a 33 million dollar round in 2016 to fund expansion, serving at that stage more than 400 investment firms, banks and corporations. In 2019 it raised 50 million dollars in a Series B led by Innovation Endeavors, the investment firm founded by former Google chief executive Eric Schmidt, with participation from Soros Fund Management. In September 2021 it raised 180 million dollars in a Series C led by Viking Global Investors and Goldman Sachs Asset Management. In 2022 it raised a 225 million dollar Series D, co-led by Goldman Sachs and Viking Global, reaching unicorn status at a valuation of 1.7 billion dollars — reported as the fifth Finnish-linked unicorn — alongside debt financing from BlackRock. Further rounds followed: 100 million dollars led by CapitalG, Alphabet's growth fund, at a 1.8 billion dollar valuation in April 2023, and 150 million dollars led by Bond Capital at a 2.5 billion dollar valuation in September 2023. Each round was tied publicly to product development, content expansion and customer growth.
The Tegus Acquisition
The defining strategic move came in June 2024. AlphaSense announced on 11 June 2024 that it would acquire Tegus, a provider of expert research, private-company content, financial data and workflow tools, in a deal valued at 930 million dollars, and simultaneously closed a new 650 million dollar funding round co-led by Viking Global Investors and BDT & MSD Partners, joined by J.P. Morgan Growth Equity Partners, SoftBank Vision Fund 2, Blue Owl Capital, Alkeon Capital and existing investors including CapitalG and Goldman Sachs Alternatives. The round valued AlphaSense at 4 billion dollars, and the acquisition closed in the third quarter of 2024. Tegus brought a fast-growing library of more than 100,000 expert-call transcripts, coverage of more than 35,000 public and private companies across sectors including technology, media and telecommunications, consumer goods, energy and life sciences, financial data and models on more than 4,000 public companies, and the BamSEC filings-search tool Tegus had itself acquired. Tegus's roughly 550 team members, across Chicago, Vancouver and Waterford, Ireland, joined AlphaSense, with most continuing to scale the expert-transcript library. Kokko described the deal as a pivotal moment in the company's mission to help businesses and investors decide with confidence and speed.
Expert Insights and the Content Library
The Tegus combination reshaped AlphaSense's content position. Expert transcripts — recorded interviews with industry participants, customers, competitors and specialists — had become a distinct category of market intelligence, valuable precisely because they are not published news. Integrating Tegus's expert library, private-company coverage and financial modelling tools with AlphaSense's AI search created the combined offering now presented as AlphaSense Expert Insights and Tegus-sourced financial data within one platform. By March 2025 the combined transcript library was reported at more than 150,000 transcripts. Together with Stream by Mosaic, the expert-transcript business AlphaSense had acquired in 2021, these acquisitions show a consistent strategy: buy unique, hard-to-replicate content, then multiply its value with search. The content library AlphaSense cited in 2026 — more than 500 million business documents — is thus part licensed, part acquired and part generated through its own expert-call operation.
Growth in Revenue and Valuation to 2026
AlphaSense's reported recurring revenue tracks its valuation. It passed 200 million dollars in annual recurring revenue around April 2024, 300 million dollars during 2025, 400 million dollars by March 2025 on some accounts, and 500 million dollars by October 2025, exceeding 600 million dollars in the first quarter of 2026. On 3 June 2026 the company announced a further 350 million dollar funding round at a valuation of 7.5 billion dollars — nearly double its 2024 mark — led by Vitruvian Partners, Accenture Ventures and J.P. Morgan Asset Management, with new investors including D. E. Shaw Ventures and Pinegrove Opportunity Partners. Total funds raised passed one billion dollars. The company said the new investment would support expansion of its AI platform, growth of its proprietary content library, international expansion and scaling of global customer support. Kokko told Reuters at the time that, while the company would not comment on exact timing, public markets represented a natural path for AlphaSense's growth — keeping an initial public offering an open prospect rather than a scheduled event.
How AlphaSense Changes News Consumption
For the media business, AlphaSense matters less as a publisher than as a distribution and discovery layer. It does not employ newsrooms producing original reporting at scale; it licenses news, filings, research and transcripts, and sells professionals a faster way to find what matters inside them. That model raises the questions now familiar across the information industry: how publishers are compensated when their work is consumed through search and AI summaries, how citation and attribution preserve trust in sources, and whether the value in business information migrates from the organisations that create documents to the platforms that index them. AlphaSense's public positioning emphasises trusted content and cited answers — generative search responses grounded in its licensed library — which is both a product feature and an answer to those concerns. Its growth, from a 2013 analyst tool to a platform used by most of the largest American companies, measures how completely professional research has shifted from reading publications to querying collections.
Competition and Position
AlphaSense operates in a market that includes financial terminals, data providers such as FactSet and the research platforms bundled by larger information groups — several of which appear elsewhere in this batch of American agencies — as well as expert-network companies and, increasingly, general-purpose AI assistants. Its differentiation, in its own account, rests on three assets: a proprietary AI search technology tuned to business and financial language over more than a decade; a content library combining public filings and licensed research with owned expert transcripts and private-company data that rivals cannot simply license on the same terms; and enterprise relationships deep enough that the platform is embedded in the daily workflow of investment and strategy teams. The Tegus acquisition was explicitly framed as consolidation of leadership in market intelligence. The 2026 valuation, more than quadrupling the 2022 unicorn mark, suggests investors accept that framing — though, as a private company, its figures rest on its own announcements and the reporting around its funding rounds.
AlphaSense Today
Today AlphaSense stands, from its New York headquarters, as one of the defining market-intelligence companies of the AI era: founded in 2011 by a former investment banking analyst and a technologist to end the era of manual document searching, financed with more than a billion dollars, valued at 7.5 billion dollars in June 2026, serving more than 7,000 enterprise customers across finance and industry, and built by acquisition as much as by invention — Stream, Tegus, BamSEC's lineage and Wall Street research partnerships folded into a single search platform over 500 million documents. For worldnm.com's directory, it represents a new kind of news agency: one that distributes not a wire of its own stories but machine-readable access to everyone else's filings, calls, research and reporting, organised by AI. Whether it reaches the public markets Kokko has described as a natural path will be the next chapter in a story that has so far been written, fittingly, in funding announcements its own platform would be among the first to index.
