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§ Private Profile · New York City, NY, USA
No-code AI platform analyzes unstructured financial text data for financial services, focused on research and risk analysis.
Accern has raised $34.2M across 3 funding rounds.
Key people at Accern.
Accern has raised $34.2M in total across 3 funding rounds.
Based in New York City, Accern provides a no-code artificial intelligence and natural language processing platform that analyzes unstructured financial documents and online conversations to extract market insights. The enterprise SaaS company serves the broader financial services sector, enabling quantitative asset managers, commercial banks, and insurance firms to automate workflows for stock monitoring, credit analysis, fraud detection, and regulatory compliance. Operating with a workforce of approximately 50 to 100 employees, the business has raised $33 million in total venture capital funding, which includes a $20 million Series B round completed in May 2022. Accern is backed by institutional investors such as Mighty Capital, Fusion Fund, Tribe Capital, and Allianz Life Ventures, and maintains strategic technology partnerships with corporations like IBM. The company was founded in 2014 by Kumesh Aroomoogan and Anshul Vikram Pandey.
Accern has raised $34.2M across 3 funding rounds. Most recently, it raised $20.0M Series B in May 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| May 1, 2022 | $20M Series B | Fusion Fund, Jennifer Vancini | Altalurra Ventures, Next Level Ventures, Abby Kearns, Gaingels, Shasta Ventures, Tribe Capital | Announced |
| Mar 1, 2020 | $13M Series A | Fusion Fund | Altalurra Ventures, Abby Kearns, Emily Reitan, Mighty Capital, Vectr Ventures, Viaduct Ventures | Announced |
| May 15, 2017 | $1.2M Seed | — | Asher Fried, 26 Ventures, Affinity Investment Group, Belmont Capital, Gurtin Ventures, Rostra Capital, VYL | Announced |
Key people at Accern.
Accern has raised $34.2M in total across 3 funding rounds.
Accern's investors include Fusion Fund, Jennifer Vancini, Altalurra Ventures, Next Level Ventures, Abby Kearns, Gaingels, Shasta Ventures, Tribe Capital, Emily Reitan, Mighty Capital, Vectr Ventures, Viaduct Ventures.
Accern is a New York-based software company specializing in no-code Natural Language Processing (NLP) platforms that empower enterprises, particularly in financial services, to build industry-specific AI solutions for content classification, research automation, and model enhancement.[1][2][3] It serves banks, insurers, asset managers, and government entities by addressing challenges like investment research, credit underwriting, risk management, compliance, and customer support through pre-built "lenses," over 50,000 classification models, and access to billions of public data rows, accelerating operational efficiency and time-to-value.[1][3] With 51-200 employees, Accern has raised $40M from investors like Tribe Capital, Shasta Ventures, and Allianz Strategic Ventures, earning spots in Gartner's 2023 Hype Cycle for Data Science in Banking and Fast Company's Next Big Things in Tech; clients include Capgemini, UniCredit, and Mizuho Bank.[1]
Growth momentum includes a $1M seed round for NLP expansion in finance, Forbes 30 Under 30 recognition in 2017, a 2021 AI Marketplace launch with 400+ use cases, and 2024 UX enhancements via partners like Lazarev.agency, enabling impacts like $10M savings for trading models and $36M in guarded liquidity risk losses.[1][2][3][5][6]
Accern emerged as a fintech-focused NLP innovator, launching its self-service platform for finance alongside a $1M seed round to target asset managers, banks, and insurers, as highlighted in early coverage like a Data Science Startup interview.[2][4] Recognized as a Forbes 30 Under 30 Enterprise Technology company in 2017, it evolved from core content classification to a comprehensive no-code NLP suite with pre-built models and data, headquartered in New York.[1][2] Key milestones include scaling to $40M in funding from top AI investors, releasing an AI Marketplace in 2021 for financial services use cases, and recent 2024 product redesigns like Rhea for financial automation, building on its mission to deliver reliable, low-exposure AI impacts.[1][3][5][6]
Accern rides the enterprise AI and generative NLP wave, capitalizing on surging demand for domain-specific, no-code tools amid exploding unstructured data from news, filings, and social sources in fintech and beyond.[1][3] Timing aligns with post-2023 AI hype cycles emphasizing practical banking/insurance applications, where regulatory pressures and efficiency needs amplify NLP for risk, compliance, and alpha generation.[1] Market forces like AI democratization, accelerated computing, and FinTech growth favor its scalable, pre-trained models over custom builds, influencing the ecosystem by enabling non-technical teams at globals like Mizuho and Standard Bank to deploy production-grade AI, reducing barriers and fostering innovation in data science workflows.[1][3]
Accern is poised to expand its no-code NLP dominance with upcoming industry datasets and extraction models, targeting deeper enterprise penetration in finance, insurance, and government amid rising AI regulations and multimodal data needs.[3] Trends like agentic AI (e.g., Rhea expansions) and real-time risk monitoring will shape its path, potentially evolving influence through partnerships and marketplace growth to redefine operational AI at scale. This builds on its core strength: turning vast public data into immediate, industry-tuned value.
