Prodipto Binayak Ghosh

Co-Founder & Chief Scientist, Able
Ex-McKinsey · LBS · IIM Bangalore · London

Removing complexity from enterprise intelligence.

Co-Founder and Chief Scientist of Able, where mathematicians, physicists and optimisation specialists work alongside engineers and client leaders to solve the science underneath hard business decisions, then wrap it in AI so a real decision-maker can use it. Before Able: Lead AI Scientist at McKinsey & Company, building machine-learning pathways where no precedent existed, and founder of Ghosh Labs, a language-AI lab serving clients such as Lloyd's Register. Trained in quantitative finance at London Business School and in management at IIM Bangalore.

Now

Selected work

Able — Forward Deployed Science

Leadership

Co-founded Able in 2021 to build Europe's leading self-serve commercial research platform, now an analysis platform that orchestrates hundreds of thousands of actions, runs advanced solvers and models, pulls from private, paid and public sources, re-runs continuously and produces an audit trail you can defend. Strategic partner of Arthur D. Little.

  • Since 2021
  • Analysis platform
  • Arthur D. Little partner

Quantum-Enabled Investment Selection

Science

A high-impact portfolio-selection problem with competing objectives and hard constraints, encoded as a QUBO, reduced classically to fit today's quantum hardware, solved across quantum and classical back-ends, then translated back into validated investment choices with explained trade-offs and a natural-language front end.

  • QUBO
  • Hybrid solvers
  • Explainable trade-offs

Portfolio Risk & Anomaly Analysis for Banks

Product

Able's analysis platform automates enterprise-grade risk analysis of bank portfolios, identifying and explaining anomalies and their root causes in days rather than months, with every step evidence-tagged.

  • Banking
  • Root-cause analysis
  • Days, not months

Counterparty Fraud & Risk Onboarding

Product

Advanced onboarding checks on vendors, investees and clients in complex information geographies, built for banks, management consultants and investors who need defensible diligence at scale.

  • Mainland China
  • Diligence
  • Evidence-tagged

McKinsey & Company — Lead AI Scientist

Research

Four years creating machine-learning pathways bottom-up for non-standard enterprise-AI problems, growing the firm's AI capabilities including the evaluation of AI leaders, and running mathematical due diligence on acquisition and partnership candidates.

  • 2015–2019
  • Enterprise AI
  • Mathematical due diligence

Ghosh Labs — Language AI

Research

Founded and led a language-AI lab from 2019 to 2021, solving key natural-language problems for premier clients including Lloyd's Register, before folding the work into Able.

  • NLP
  • Lloyd's Register
  • 2019–2021

Experience

  1. Oct 2021 – Present

    Co-Founder, Chief Scientist

    Able · London

    • Building Europe's leading self-serve commercial research and analysis platform, and the Forward Deployed Science team behind it.
  2. Jun 2019 – Sep 2021

    Chief Scientist

    Ghosh Labs · London

    • Language-AI lab solving key AI problems for premier clients such as Lloyd's Register.
  3. 2015 – 2019

    Lead AI Scientist

    McKinsey & Company · London

    • Created new machine-learning pathways bottom-up, where precedents did not exist, for non-standard enterprise-AI problems.
    • Helped grow the firm's machine-learning and AI capabilities, including evaluating AI leaders.
    • Mathematical due diligence of acquisition and partnership candidates for the firm.

Education

Honours

Expertise

Science
  • Machine learning
  • Optimisation & QUBO
  • Sparse-data ensembles
  • Anomaly & adverse-event discovery
  • Language AI
  • Quantitative finance
Systems
  • Agentic workflows
  • Solver orchestration
  • Auditable AI pipelines
  • Enterprise data integration
Leadership
  • Co-founder
  • Forward deployed science
  • AI capability building
  • Mathematical due diligence

Beyond the lab

Contact

Open to conversations with enterprises, investors and consulting partners who have a hard decision that needs real science underneath it — and to speaking on how AI is rebuilding analysis from the workflow up.