
Blue Fire AI
Blue Fire AI is a pioneering Capital Markets Intelligence Firm.
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
Total Funding | 000k |
USD | 2021 | 2022 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Established in 2016, Blue Fire AI is a capital markets intelligence firm headquartered in Singapore, with an additional office in Hong Kong. The company was co-founded by Luke Waddington, who brings over 25 years of experience in transforming investment banking businesses with technology, alongside Samir Rath. The founders' journey began with the insight that while the execution layer of capital markets had seen significant automation, the core capital allocation decision-making process remained largely manual and ripe for technological disruption.
Blue Fire AI operates at the intersection of finance and artificial intelligence, providing intelligence services to global asset managers, investment banks, hedge funds, and private banks. The firm's business model is centered on transforming how these institutions evaluate companies for capital allocation. This is achieved through two primary service models: offering its AI platform, Emmalyn, as a fully AI-native active asset manager for institutions, or leasing parts of Emmalyn's active research to clients to augment their own investment decision-making. The company targets the active asset management and investment banking industries, which face pressure from collapsing margins and are seeking technological transformation to deliver consistent, above-benchmark performance.
The company's core product is a proprietary neuro-symbolic AI framework named Emmalyn, described as the world's first AI Risk Analyst. Unlike generative AI that seeks patterns in broad data, Emmalyn pioneers the use of neuro-symbolic AI, which prioritizes domain-informed precision. The system combines the deep experience of industry experts and academics with neural network optimization. It applies quantitative methodologies and machine intelligence to analyze a vast range of inputs including regulatory filings, financial statements, market data, and news articles to provide predictive signals of underperformance in publicly traded assets. This allows clients to automate and enhance the active research process, addressing key questions of which companies to focus on, the timing of investment, and the weighting of capital. One of its key offerings, riskradar, integrates forensic financial analysis and behavioral profiling to deliver these predictive signals. The technology is also available as an integrated bot on the Symphony platform, offering an automated view of idiosyncratic company risks.
Keywords: capital markets intelligence, active investment, asset management, neuro-symbolic AI, financial technology, investment decision framework, risk management, quantitative analysis, portfolio management, Emmalyn AI, predictive signals, institutional investors, investment banking, financial software, active research automation, Luke Waddington, Samir Rath, Singapore fintech, alternative data, revenue generating signals