Summary

BlueFire AI is a capital market technology company, leveraging Neuro-Symbolic AI in pursuit of risk based data insights.

Our customer base spans the Institutional investment industry spanning Investment Banks, Soveregin Wealth, Hedge Fund, Asset Management, Private Banks and Wealth Managers.

Our core intellectual property lies in combinatoric decision models extracting actionable insight from structured and unstructured data to deliver timely investment interventions.

The end expression of our technology is the creation of the Investment Industry's first AI Risk Analyst - Emmalyn AI.

Description of fintech solution

AI-Native Fundamental Research and Asset Managment
Blue Fire AI (BFAI) is transforming active investment with Emmalyn, built on a proprietary
neuro-symbolic AI framework.

Trusted by leading global institutions, Emmalyn is employed in two primary applications:
AI-Native Asset Management – Managing investment assets autonomously.
Enhanced Decision Support – Providing cutting-edge research to the Active investment community

Describe your key innovations

BFAI provides answers to three critical investment questions:
Which companies should I focus on? (Active research process)
When should I invest? (Portfolio Construction process)
How much capital should I allocate? (Portfolio & Risk Management Process)

Innovation 1) AI-Native Asset Manager
Clients—both Asset Managers and Allocators—entrust BFAI to answer critical investment questions and allocate AUM to Emmalyn as an active portfolio manager.
BFAI strategies integrate seamlessly into existing Asset Management and Investment
Banking platforms, delivering superior economics and industry-leading margins.

Innovation 2) NI-Native Active Research
BFAI has honed its active research process to detect early warnings of unrecognized risk in listed companies, targeting the untapped medium-frequency short market at scale.
Emulating the analytical capabilities of top-tier human research teams BFAI’s AI-driven analyst, Emmalyn, provides forward-looking risk assessments that Asset Managers leverage for asset selection and rebalancing.

Solution Lifecycle

Commercialized

Founder's Background

Samir Rath: An integrated circuit designer by training, Samir began his career as a macro-economist with the MAS in Singapore. He moved on to establish the algorithmic trading business in APAC for GETCO, a firm that disrupted the global exchange market making business. Samir has an intimate knowledge of data companies and understands the evolution and success factors in the growing new AI economy. Samir is a founding partner of Blue Fire AI.

Luke Waddington: A seasoned senior executive of global investment banks with over 20 years’ experience in running global businesses spanning trading, sales, prime services and electronic business lines. Luke has an unparalleled experience in taking developing businesses and positioning them through transformation to capture new sources of revenue. Luke is a founding partner of Blue Fire AI.

Founded (Years of Incorporation)

2016

How are you funded today?

Series B

Money Raised

N/A

Number of employees

25

Presence In Region

Global

Technology

Application Programming Interface (API)
Artificial Intelligence
Cloud solutions
Data automation
ESG
Machine Learning
Natural Language Processing (NLP)
Risk Assessment

HQ Country

Singapore

What are the top 3 key benefits your solution will bring to the Asset Management Industry?

Provides early warning signals from 3-6 months in advance of corporate distress, enabling effective risk mitigation ahead of asset price impairment. Competitor products provide coincident warning by which time it's often too late to avoid pnl markdown.

Enables high precision scale across a vast universe of assets at a cheaper unit cost compared to incumbent models invovling teams of in-house analysts who are bandwidth constrained.

BFAI has enterprise level engagement across the Institutional landscape with Emmalyn [AI] integrated into the BAU work flows of Investment Banks, Asset Managers, Sovereign Wealth Funds, Hedge Funds and Family Offices.

Human + Machine > Human or Machine

Tell us more about your past client engagements to date and your market penetration?

We are a B2B business with restricitve NDA constraints, our clients span the capital market industry. We have publicised engagements with UBS, JP Morgan, Morgans Financial, First Sentier Investors.

Do you have any case studies of your solution? If yes, please share it in less than 200 words

Emmalyn's Research Note on Silicon Valley Bank Jan'2023

Following multiple early warnings since January 2022, the Net Interest Income outlook has been under pressure as the cost of deposits and borrowing expenses continued to accumulate. As a major lender to start-ups, SVB was adversely impacted by the reduction in venture capital investment activity, coupled with higher interest rates and high cash burn among its clients. Thus, the biggest red flag was the sudden drop in funding stability (Deposit-to-Total Funding ratio), as these factors highlighted SVB's inability to retain deposits and led to a significant increase in wholesale funding in the second half of 2022. The company's fundamentals have deteriorated since the start of 2022. This trend is reflected in the spike of CSM for that year, extraordinarily high leverage and the collapse in the value of assets (-$29.5 Bio in FY22). BF Implied Rating BBB-, Leading analysts forecast downside risk, with a potential drop of 10% in EPS by 2024. Suggest Risk Reduce.

Emmalyn AI