What is neuro-symbolic AI?

Neuro-Symbolic AI combines neural networks (for understanding language) with symbolic reasoning systems (for applying rules with mathematical certainty). Reshuffle.AI's Reasonex applies a deterministic, symbolic reasoning layer over the domain's governed rules, so reasoning is mathematically necessary, not statistically probable.

Reasonex is Reshuffle.AI's neuro-symbolic reasoning engine for regulated industries. The LLM never reasons; the reasoning engine never guesses. Every inference is auditable and reproducible.

Which industries does Reshuffle.AI serve?

Legal intelligence, clinical decision support, financial regulatory compliance, insurance underwriting and claims, telecom SLA and regulatory compliance, and ontology quality assurance.

What is the research basis for Reasonex?

Reasonex's symbolic reasoning capabilities are developed with the team behind Algebraic Machine Reasoning (Xu, Vaidya, Wu, Chandra, Lai & Chong, CVPR 2023), which achieved 93.2% on the I-RAVEN benchmark, exceeding the human baseline of 84.4%.

Where is Reshuffle.AI based?

Reshuffle.AI is based in Singapore and has been selected into SUTD's ARISE venture-building programme, run by SUTD's Venture, Innovation & Entrepreneurship (VIE).

Team | Reshuffle.AI

Name: Reasonex
Brand: Reshuffle.AI

The Team

“A team that has already built and scaled products knows the challenges ahead. They make smarter decisions, avoid costly mistakes, and move faster in delivering results.”
– Yurii Korobeinyk

01TeamLeadership & core team

Chief Executive Officer

Sameer Koul

Twenty-five years building enterprise software and ventures across the Asia-Pacific, with senior delivery and architecture roles at Oracle, Hewlett Packard Enterprise, Alcatel-Lucent, and Singtel. At Oracle he led a flagship engagement with a Tier-1 telecommunications operator on AIOps adoption. His early-2000s engineering work on TeMIP, one of the most widely deployed rule-based fault-management platforms in global telecommunications, gave him first-hand experience with the strengths and limits of symbolic systems at production scale, the architectural insight Reasonex now embodies. MIT Professional Education–certified in AI/ML.

SingaporeLinkedIn

Chief Scientific Officer

Prof. Ernest Chong

PhD, Cornell University, summa cum laude

Faculty at Singapore University of Technology and Design (SUTD) in the Information Systems Technology and Design Pillar; A*STAR Scholar with research spanning algebraic topology, combinatorics, and the mathematical foundations of machine reasoning. Originator of Algebraic Machine Reasoning (CVPR 2023), a method that reduces structured reasoning to routine algebraic computation in polynomial rings, achieving 93.2% accuracy on Raven's Progressive Matrices and surpassing the human baseline. One of very few researchers globally at the intersection of neuro-symbolic AI, algebraic methods, and deep learning. Chairs Reasonex's Technical Council.

Singapore · SUTDLinkedIn

Chief Commercial Officer

Sherrie Xiaoyu Huang

Twenty-one years translating deep technology into enterprise outcomes across the Asia-Pacific. Former Head of Cloud Intelligence APJ at AWS, with prior senior positions at Oracle, Singtel, Analysys Mason, IDC, and ZTE, advising APAC operator and enterprise C-suites on multi-million-dollar transformation programmes. NUS Master in Computer Science; Executive MBA. Recognised among Singapore's 100 Women in Tech and Asia's Most Inspiring Women in Leadership (2024). Leads Reshuffle.ai's commercial strategy, partnerships, and enterprise engagement across regulated industries.

SingaporeLinkedIn

Founding Team, Product & Operations

Manoj Mancheri

Part of Reshuffle.ai's founding team, working across product strategy, operations, and go-to-market execution for Reasonex, the neuro-symbolic AI platform that delivers auditable, explainable decisions for regulated industries. Manoj turns platform capability into an operating plan: shaping how Reasonex is packaged, delivered, and taken to market across the company's vertical businesses.

President, AnthROS Business

Sunil Koloti

Twenty plus years inside large technology enterprises in Asia-Pacific, leading people functions at JP Morgan Chase, Royal Bank of Scotland, Telstra, Amdocs, and Hewitt Associates, and deploying the HR systems these decisions run on — Workday, SuccessFactors, and Taleo — across workforces in the thousands. That first-hand command of how employment policy is applied, and defended, at scale is the domain AnthROS is built for: keeping every people decision on the right side of the law and company policy. He brings the HR-leader's view of the buyer, the risk, and the workflow to AnthROS's product and market. Founder of talent solutions firm Talent et au-delà; MBA in Human Resources.

Pune, IndiaLinkedIn

President, MikeROS Business

Zeno Jager

LLB, BA, Monash University · LLM, University of Melbourne · MBA, Shanghai Jiao Tong University

Legally trained, with applied-AI experience across the Asia-Pacific at both the regulated and the deep-tech ends of the field: legal and regulatory technology on one side, self-driving vehicles and generative image AI on the other. As a founder he built AI regulatory-risk and governance tooling, and learned first-hand what lawyers and compliance teams need before they will trust an AI system with consequential work: reasoning they can trace and citations they can defend. That is the standard MikeROS is built to meet. At Reshuffle.ai he leads the MikeROS business, owning commercial strategy, go-to-market, and partnerships for legal AI across the region's regulated law firms and in-house legal teams.

Head of Product

Anurag Saproo

Twenty years in enterprise product management, with senior product roles at Motorola and Nokia spanning telecommunications and carrier-grade systems. At Reshuffle.ai, Anurag owns the product organisation, translating regulated-industry requirements into product decisions and roadmap across legal, telecommunications, and adjacent verticals.

BengaluruLinkedIn

AI Engineer

Priya Deshpande

M.Tech, National University of Singapore, AI & Software Engineering

Seven years of artificial intelligence and software engineering with a focus on production-scale systems. Priya builds Reasonex's LLM integration components and retrieval pipelines that connect language understanding to the deterministic reasoning core. NUS graduate (Class of 2025).

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Advisors

Advisor, Legal & Corporate

Ericz Ezekiel Tay

LLB, University of Manchester · GDL (Singapore), NUS

Singapore corporate lawyer with more than a decade of international in-house and law-firm experience spanning commercial transactions, data privacy, and ESG. Earlier career at Rajah & Tann Asia (M&A), followed by in-house tenures at DHL (Pacific Legal Counsel, Asia) and WS Audiology (Lead Counsel & Group Director, Legal & Compliance). Recognised by Legal 500 as Green GC: South-East Asia (2023); Accredited Director with the Singapore Institute of Directors; mentor with SUTD's Venture, Innovation and Entrepreneurship programme. Advises Reshuffle.ai on corporate structure, data-privacy compliance, and commercial agreements across regulated-industry deployments.

SingaporeLinkedIn

A combined career across the institutions that built modern enterprise technology in Asia.