Olden Street Machine Learning is a technology development business in the wholesale fintech space supported by the AI-ML expertise of a major University. Its core product is a SaaS offering named LiquiditySherpa™. It will revolutionize capital markets by delivering an AI process for unlocking and transforming the global $40 trillion market for OTC debt.
Marc Andressen, inventor or the Web Browser, calls such tools Fintech AI “systems of engagement.” They combine deep external background data collection and AI-ML processing to find optimal transaction paths. This will enable an efficiency level of trading in OTC markets not previously possible. This applies also to block or portfolio transactions in both investment grade and below investment grade transactions
AI will transform virtually all industries. OSML, a software platform company, is developing its AI-based LiquiditySherpa™ solution as an ‘AI system of engagement’ for transforming the $40 trillion, OTC debt market. The Founder, Douglas E Miles, a veteran bond sales & trading professional, patented a disruptive method to gather & process data enabling AI to predict optimal transaction paths for investors/traders. The OSML team has over 100 years of combined experience in the debt markets and AI-Machine Learning. It is further strengthened by our world-class AI partner, Princeton University’s ORFE Department.
Gathers transaction information including unsuccessful bid offer data history and anonymous stored preferences for all transaction professionals. This includes other unique data points not currently captured. It submits these for proprietary AI engine processing and discovers an optimal transaction path for any desired trade among thousands of users.
Initial target asset class within the $40th OTC debt market is high yield debt. $167 billion in high yield debt is traded annually while $1.39 trillion does not trade and is illiquid. Over 175,000 participants in the OTC securities market subscribe to information networks (i.e., Bloomberg, Refinitiv, etc.). Targeting 35,000 active debt traders. A subscription revenue model monetizes liquidity queries in addition to AI matched transaction paths. Multiple other debt and structured product classes will follow
60 seconds or less user query response time, Anonymity for both prospective buyer or seller when inquiring, Private negotiation between best AI scored and user matched bid-offer candidates, Digital trade execution and analog settlement after successful negotiation. Product will be offered to a 1000 user beta sometime in First Half 2026 through an established OTC product digital liquidity transaction channel such as Charles River Development or Aladdin or a major global exchange.