AI-powered Platform DANNA Revolutionizing Private Market Investing
Your AI investment copilot, DANNA, provides clarity to private markets by enabling investment professionals perform screening, prospecting, due diligence, and validation of analyst findings for global startups across geographies and industries 10 times more efficiently than traditional approaches. It generates investment committee-grade investment memo drafts and produces portfolio-level analytics of groups of startups, forecasting performance and risk over time.
Private Markets are opaque, special knowledge is key, and DANNA provides the edge.
What We Do
Differentiated Solutions
DANNA transforms private market investing through its data-centric design meant for modern investors and investment professionals. DANNA’s AI-based analytics empower decisions, optimizing outcomes for investors.
With the DANNA copilot, VCs, PEs, family offices, and other adjacent functions conduct deep and thorough due diligence on global startups and quantify probable outcomes, such as probability of successful exit, probable exit multiple, expected time to exit, and other critical factors relevant to the investment decision process.
DANNA provides additional proprietary metrics relevant to grading key company criteria. The proprietary indicators include innovative elements such as momentum, sentiment, investor grade, and more.
Our Products
We Deliver AI Solutions for the Private Market
Vantage Market
The Vantage Market platform empowers private market operators (VC’s, PEs, WMs, etc.) to showcase investment opportunities to their investors / LP’s through a highly-customizable, modern, and secure interface, allowing highly capable data rooms under sophisticated access controls. This enables a flexible, secure, and feature rich experience for investors (LPs), powering a frictionless digital experience for private market investments, end-to-end.
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DANNA
DANNA analyzes over 4 billion data points daily, creating its data analytic pipelines. These pipelines aggregate and transform the data ingested in near real-time into DANNA AI models, informing DANNA predictions and analytics for critical success factors characterizing startup companies.
The DANNA data pipelines feed a private market data layer, a proprietary asset at internet scale.
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Use Cases
AI Global Market – Growth in Every Industry
The AI opportunity today is immense but impeded by several headwinds. There is a tremendous amount of hype, but not enough delivery capability to back it up
DANNA
Enabling Screening, Prospecting, Due Diligence, Validation, Dealflow, IC Memo Drafting, and Risk / Portfolio Analytics of Private Market companies
DANNA is the ideal copilot for investment professionals in the following domains:
- VC and PE
- Angel Networks
- Sovereign Wealth
- Family Offices
- Investment Banks
- Wealth Management and Advisory
- Corporate Development
- Institutional Investors
- Endowments and Impact Investors
- Global Consultancies
Our Team
Meet Our Team Members
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Hasanat Dewan, PhD
Chief Executive Officer
Hasanat has led technology innovation in global fintechs at the CTO level focusing on Data, Trading, and AI Product. He built global trading and data intelligence platforms at Morgan Stanley, Deutsche Bank, Merrill Lynch, Russell Investments, and E*Trade, with full ownership of the product.
He holds a PhD in Computer Science from Columbia, and a BA Magna Cum Laude in Computer Science and Physics from Brandeis. He is a Wien Scholar and a Trustee of STAC.
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Lloyd Sher
Chief Operating Officer
Lloyd has over 30 years of experience in building mission-critical business solutions at global financial institutions. He led large technology delivery groups at Deutsche Bank, Merrill Lynch, and at Mubadala, where he was co-CTO of Shared Services.
Lloyd has extensive experience in the confluence of Data, Analytics, and Product in the fintech space.
Lloyd holds a BS in Computer Science from Binghamton University.
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Mark Hughes, PhD
AI/ML Product Lead
Mark is an experienced Machine Learning and Vision expert with a 21-year track record of building novel ML platforms for the media and security industries and transforming cutting-edge technology into product.
Mark was formerly Director of AI at United Healthcare. He held senior roles in critical DoD AI programs, including DARPA MAVEN, and has been active in the Deep Tech startup scene in the US and Europe.
Mark holds a PhD in Machine Learning.
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Edward Barker, PhD*
AI/ML Product Lead
Edward has extensive experience in the full-lifecycle delivery of AI products in fintech, insurance, and government.
He is widely published in academic and practitioner journals such as JML and RLDM and has presented in leading AI/ML forums on Reinforcement Learning.
Edward holds a master’s degree in Mathematics and is in the final stages of a PhD in Reinforcement Learning at The University of Melbourne.
* Pending
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Omar Hussain
Commercial Lead
Omar began his career at Gartner in London, establishing the BFSI practice in the Nordics and led Gartner Invest and Conglomerates in MENA.
Subsequently, at Mubadala, he established the commercial and customer experience functions at its newly established shared services entity.
Omar is leading the commercial sales function at IDI and designing processes for growth.