Select Engagements
AI Research Initiatives
Implementing theoretical and formal underpinnings associated with reasoning within AI. This aims toward systems that are applicable across situations while keeping data need lower and while not requiring human-generated data (even if it may be useful). Relevant situations include unforeseen circumstances and high stakes across time frames that can be long-term. Developed aspects have been implemented within client engagements, including for high-touch domains. This is done with the help of strategic institutional funding, with publications planned, and stems from a NASA IP grant.
AI Reasoning Consultation
Consultation to a leading AI company to help determine when AI is not reasoning well. Determined a large range of underlying features that caused issues.
Data Analytics and Advisory
- Asset/company identification and assessment, where our systems drew reasonable conclusions from diverse and incomplete data for a private equity fund. Areas of focus were in both domestic and international markets.
- Exploratory data analytics and advisory connected to capital strategy for a film and TV production company that owns a large portfolio of curated literary properties, featuring works by iconic authors in elevated genre fiction.
- Audience analytics with natural language processing on more traditional approaches, connected to capital strategy for a film and TV production and media tech company led by a veteran producer with over 1,400 hours of content created for numerous major media companies.
- Buyer assessment and advisory as part of M&A processes, from public and proprietary data that was also diverse and incomplete, for an early-stage renewable energy company with ML IP and a data center in the lower middle market.
- Cross-border M&A and capital strategy advisory for a cybersecurity company, with a focus on privacy and infrastructure.