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§ Private Profile · 100 Horizon Center Blvd. Hamilton, NJ 08691
Intelligent document processing platform automating unstructured financial data processing for financial services, with hybrid intelligence.
Based in New York, Cognaize provides an intelligent document processing platform that automates the extraction, annotation, and validation of unstructured financial data for the global financial services industry. The enterprise software-as-a-service solution utilizes a neuro-symbolic artificial intelligence system combined with human expertise to process balance sheets, income statements, and complex regulatory documents. Operating with approximately 300 employees across additional offices in Germany and Armenia, the business generates an estimated $63 million in annual revenue. Cognaize has secured $20 million in total funding, which includes an $18 million Series A financing round backed by lead investor Argonautic Ventures and participating investor Metaplanet. The platform's client base encompasses commercial banks, insurance providers, asset managers, and two of the three largest global credit rating agencies. The organization was founded in 2018 by software engineer and data scientist Vahe Andonians.
Cognaize has raised $20.0M across 1 funding round.
Cognaize has raised $20.0M in total across 1 funding round.
Cognaize is a New York-based AI fintech company that builds the Enterprise Knowledge Platform, an award-winning intelligent document processing (IDP) solution powered by hybrid intelligence—combining advanced AI models trained on millions of financial documents with human expertise for continuous improvement.[1][2][3][4][5] It serves major financial institutions like banks, insurers, asset managers, ratings agencies, and data providers, solving the persistent challenge of extracting, annotating, validating, and tracing actionable insights from massive volumes of unstructured data such as balance sheets, income statements, tax documents, and ESG reports.[1][2][3][5][7] This automation enhances compliance, risk management, efficiency, and decision-making, with proven results including 98-99.7% accuracy, 65-78% efficiency gains, and processing over 120,000-150,000 documents annually or in months.[3][7] Cognaize has raised $20M in funding, including an $18M Series A, and reports around 805 employees, indicating strong growth momentum amid rising demand for AI-driven financial automation.[3][4][8]
Cognaize was founded in 2020 by Vahe Andonians, a software engineer, data scientist, academic, senior lecturer, and veteran of the financial services industry with decades of experience.[2][4][5] Andonians assembled a team of top data scientists, data architects, software engineers, and Certified Financial Analysts to tackle the financial sector's longstanding struggles with unstructured data processing.[2] The idea emerged from recognizing AI and deep learning's untapped potential to transform manual, error-prone tasks into automated, scalable insights—specifically for financial documents that generic AI couldn't handle reliably.[2][5] Early traction came from developing the Enterprise Knowledge Platform for industry-specific use cases, quickly attracting clients among the world's largest banks, ratings agencies, investment firms, and insurers, while securing $20M in funding including a landmark $18M Series A led by Argonautic Ventures.[2][3][7][8]
Cognaize stands out in the crowded IDP space through purpose-built technology tailored for financial services:
Cognaize rides the AI-finance convergence wave, capitalizing on exploding unstructured data volumes in a sector still reliant on manual processing despite digital shifts.[1][2][5] Timing is ideal post-2020 AI boom, with regulations demanding auditability and accuracy amid ESG reporting, compliance pressures, and real-time decision needs—market forces amplified by generative AI's rise but limited by hallucinations in finance.[5][7] By enabling 78% efficiency boosts and new revenue streams (e.g., faster loan underwriting), it influences the ecosystem, empowering incumbents to compete with fintech disruptors while setting standards for hybrid AI in regulated industries.[2][7] Competitors exist, but Cognaize's finance-tuned, human-AI symbiosis positions it as a resilient bridge to fully autonomous processing.[4]
Cognaize is poised for accelerated expansion with its $18M Series A fueling R&D, sales, and global scaling, targeting deeper penetration in banks and insurers amid hybrid AI's maturation.[8] Trends like agentic AI, stricter data regs, and sustainable on-prem deployments will propel it, potentially evolving into a full financial data ontology platform influencing standards across fintech.[5][7] As unstructured data surges, Cognaize's hybrid edge could redefine efficiency for financial giants, turning data chaos into enduring competitive moats—much like its founding vision of empowering experts with ever-better automation.[2]
Cognaize has raised $20.0M in total across 1 funding round.
Cognaize's investors include Argonautic Ventures, At One Ventures, Cyberstarts VC, Earth and beyond ventures, Entrée Capital Ventures, Metaplanet, SOSV, Unusual Ventures, Benny Schnaider, Guy Fighel, Guy Podjarny, Hubert Thieblot.
Cognaize has raised $20.0M across 1 funding round. Most recently, it raised $20.0M Series A in July 2023.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jul 1, 2023 | $20M Series A | Argonautic Ventures | AT ONE Ventures, Cyberstarts VC, Earth And Beyond Ventures, Entrée Capital Ventures, Metaplanet, SOSV, Unusual Ventures, Benny Schnaider, GUY Fighel, GUY Podjarny, Hubert Thieblot, Rauno Miljand | Announced |