Accrete
Configurable AI agents for complex analytical work.
| Date | Investors | Amount | Round |
|---|---|---|---|
| - | investor | €0.0 | round |
| N/A | N/A | IPO | |
| Total Funding | 000k | ||
| JPY | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 |
|---|---|---|---|---|---|---|
| Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % growth | - | 22 % | 64 % | 118 % | (12 %) | 17 % |
| EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % EBITDA margin | 19 % | 21 % | 18 % | 21 % | 8 % | 8 % |
| Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| % profit margin | 12 % | 14 % | 11 % | 14 % | 1 % | 1 % |
| EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
| EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
| R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Accrete is a dual-use enterprise AI company that provides specialized, high-performance Expert AI Agents to government and commercial clients. Founded in 2017 by Prashant Bhuyan, the company is headquartered in New York, NY. Bhuyan, who serves as CEO and Chairman, has a background in building high-frequency trading systems and started Accrete to address the challenges of information overload and organizational knowledge loss. The company's co-founders include Josh Adam and Yurdaer Doganata, who bring expertise in financial analysis and AI research, respectively.
Accrete's core technology is its AI Knowledge Engine platform, which captures and encodes tacit human domain expertise into AI software agents capable of reasoning and generating predictive insights at a large scale. These agents perform complex analytical work that would typically require teams of human experts. The platform is designed to unify an organization's domain knowledge with siloed data to create a foundation for autonomous reasoning and decision automation. Key product offerings powered by its 'Nebula' AI platform include Argus, for dual-use anomaly and threat detection, and Nebula Social, which predicts viral narratives. The company's solutions are designed to be universally configurable and adaptable to various domains.
The business model is centered on licensing its AI agents to a diverse client base that includes the U.S. Department of Defense, U.S. Special Operations Command, the U.S. Army, the U.S. Air Force, and Fortune 500 companies in sectors like media & entertainment, finance, and consumer goods. Revenue is generated through these licensing agreements and contracts, with a reported estimated annual revenue of $26.2M. The company has received significant funding, including a multi-million dollar contract from the U.S. Army and a $15 million Strategic Funding Increase from AFWERX for 2025.
Keywords: decision automation, analytical AI agents, knowledge engine, tacit knowledge, dual-use AI, predictive insights, information overload, knowledge loss, autonomous reasoning, natural language processing, semantic modeling, government AI solutions, enterprise AI, threat detection, narrative prediction, contextual AI, machine learning, data unification, unstructured data analysis, financial services AI
