System Analysis
QuantEnt analyzes users, roles, entitlements, and data as interconnected systems
Enterprise Entitlement Management with Quantitative Governance
What We Do
QuantEnt analyzes and certifies who can access what — and what that data means — using quantitative models instead of static rules.
Entitlement and User analytics
QuantEnt is built for environments where correctness, scale, and evolution matter.
Quantitative Certification
Certify access and meaning with mathematical rigor
Risk Detection
Detect drift, over-exposure, and structural risk early
Continuous Control
Maintain control as systems, data, and organizations evolve
Data Cleaning, Categorizing, and Governance
QuantEnt structures and governs enterprise data so every dataset is clean, categorized, and controlled with transparent policies
01
MetaData Tagging
Analyzing and Tagging APIs, data, applications, and resources for use by users and AI
02
Data Model Rigorization
With software and consulting, our SMEs will help create, refine, or just critique the data models of the firm
03
Ongoing Cleanliness Certification
Institutional Data Cleanliness starts at the data model process
04
Agentic AI Compatibility
Our future product is designed to make Agentic AI work with the highest possible confidence level, with the safest data protection possible
What Makes
QuantEnt Different
Quantitative by
design
Exposure, drift, and structural risk are measured — not guessed.
AI-native governance
Built so AI can reason, opine, and alert safely on entitlements and data.
Designed for
complexity
Proven in financial-services-grade systems with real risk and regulatory consequences.
Enhances existing IAM
Integrates with what you already run. We don’t replace your identity stack — we make it work better.
Our Products
QuantCertify
Certification with quantitative control.
QuantVault
Enterprise entitlement intelligence.
QuantData
Semantic governance for enterprise data.
Talk with us —
Start with QuantCertify
Products
QuantCertify
Certification with Quantitative Control
QuantCertify transforms certification from a periodic compliance exercise into a quantitative control mechanism.
What It Does
Quantifies exposure
Quantifies entitlement exposure, drift, and role integrity using mathematics — not rules.
System-level analysis
Analyzes users and entitlements as a system, not isolated records.
AI opinions & alerts
Enables AI to opine and alert on access patterns, anomalies, and emerging risk.
Forces clarity
Forces clarity and ownership during certification.
Prevents rubber-stamping
Prevents rubber-stamp reviews by surfacing what actually matters.
Focus on material risk
Institutional Data Cleanliness starts at the data model process
Why It’s Different
Quantifies entitlements
Quantifies entitlement exposure, drift, and role integrity using mathematics — not rules.
AI-first architecture
Built from the ground up with AI in mind, not bolted on later.
Improves over time
Designed to improve governance quality over time, not degrade.
Risk thinking
Grounded in quantitative risk thinking, not static policy engines.
How It Fits Your Environment
QuantCertify does not replace your IAM stack. It makes it measurably better
QuantCertify integrates with and enhances your existing IAM solutions. It works alongside SailPoint, Okta, Active Directory, and other IAM platforms, adding quantitative insight to existing certification workflows — without disrupting current systems.
Outcomes
Quantifies exposure
Quantifies entitlement exposure, drift, and role integrity using mathematics — not rules.
System-level analysis
Analyzes users and entitlements as a system, not isolated records.
AI opinions & alerts
Enables AI to opine and alert on access patterns, anomalies, and emerging risk.
Products
QuantVault
Enterprise Entitlement Intelligence
QuantVault provides a system-level view of entitlements across your organization.
What It Does
Aggregates entitlements
Quantifies entitlement exposure, drift, and role integrity using mathematics — not rules.
Unified view
Analyzes users and entitlements as a system, not isolated records.
Cross-system analysis
Enables cross-system analysis of entitlement structure and risk.
Governance foundation
Foundation for quantitative entitlement governance at scale.
Relationship to QuantCertify
Runs on top
QuantCertify runs on top of QuantVault.
System context
QuantVault provides the system-wide context.
Integration Philosophy
QuantVault plugs into and enhances your existing IAM solutions. It does not replace them.
Products
QuantData
Semantic Governance for Enterprise Data
QuantData governs what enterprise data means and how it evolves safely over time.
What It Does
Canonical models
Establishes canonical data models and nomenclature.
Controlled evolution
Governs evolution without breaking reporting or workflows.
Detects semantic drift
Detects semantic drift, ambiguity, and incompatibility.
AI readiness
Ensures data is fit for reporting, automation, and AI.
Why It Matters
Access + meaning
Entitlement governance fails if data meaning is broken.
Meaning + access
Data governance fails if access governance is broken.
QuantData and QuantCertify are designed to work together so data meaning and permissions evolve in lockstep.
What We’re Exceptional At
Quantitative Governance
Mathematical modeling of exposure, drift, and structure. Prioritization of ambiguity by business impact. Governance focused on material risk.
Semantic Data Modeling
Canonical models for complex enterprises. Consistent nomenclature and meaning. Financial-grade rigor.
Safe Model Evolution
Controlled, governed change instead of ad-hoc drift. Explicit compatibility and upgrade paths. Early warnings before breakage.
Financial Services Depth
Trading systems. Risk and margin. Regulatory reporting. Counterparty exposure. Built by people who’ve operated these systems at scale.
Accelerating Governance and AI Readiness
QuantEnt provides services to accelerate adoption and maximize impact.
What We Offer
Tech review & scorecarding
Full stack technology review and scorecarding of data, AI, and entitlements.
Access cleanup
Entitlement and access cleanup.
Services establish structure
Products enforce and maintain it.
No perpetual cleanup cycles
We don’t just prepare organizations — we help them stay prepared.
Semantic alignment
Data model and semantic alignment.
AI readiness
AI and automation readiness assessments.
Architecture & operating model
Architecture and operating-model design.
About QuantEnt
QuantEnt was founded to solve a problem we’ve repeatedly seen inside large, complex organizations: systems scale faster than shared understanding.
When meaning decays, governance fails — quietly. We build systems that prevent semantic decay, even as organizations evolve.
Leadership
Trent Walker is a senior technology executive and former hedge fund CTO with nearly three decades of experience building and leading mission-critical platforms for trading, risk, finance, and control functions across buy-side, sell-side, and market infrastructure. Most recently at Point72, he served as Head of Risk & Controllers Technology, modernizing core systems, strengthening data and process coherence, ensuring robust P&L foundations, and advancing frameworks for equity factor analytics and risk calculation.
Previously, Trent was Head of Technology Strategy at Nasdaq and a Managing Director at MSCI, where he led application development for the Barra and RiskMetrics platforms. He also served as CTO at BlueCrest Capital Management and held senior technology leadership roles at Credit Suisse, helping drive the shift from spreadsheet-driven workflows to scalable front-to-back systems and disciplined new-product onboarding.
Trent has also led in the front office. At Barclays Capital he was Global Head of Risk and Margin for Prime Services, leading global netting and risk teams overseeing over $1 trillion in financing products and building a coherent, legally accurate view of counterparty exposure and set-off. This blend of front-office accountability, deep engineering experience, and still being a hands on developer gives Trent a rare perspective on how desk-level decisions propagate into data, models, controls, and firmwide outcomes.
Trent began his career as an Assistant Professor of Mathematics at UC Santa Barbara after earning his PhD from UC Berkeley, specializing in operator algebras and control theory. In his spare time, Trent invented the patented Induction Press coffee machine, launching in Q2 2026.
Justo Ruiz is an AI founder and hands-on computer scientist specializing in distributed systems, high-performance computing, and generative-AI infrastructure, with a track record of shipping production platforms for data-intensive workloads across startups and top hedge funds.
As Founder and CEO of Shapelets, Justo built a high-performance data processing and visualization platform and architected a vector database capable of ingesting 100,000+ embeddings per second for real-time semantic search and generative-AI use cases.
Previously, as CTO of a private equity–backed company, Justo reset product strategy, established development centers in Spain, modernized the platform, and contributed to a successful exit.
In front-office technology roles, including as Principal at BlueCrest Capital Management, Justo unified market and reference data systems and delivered a consolidated high-performance risk platform for trading and portfolio decisions.
Earlier at Barclays Capital as a Senior Quant Developer on the Convertible Bonds desk, Justo built performance-critical pricing and trading infrastructure for complex hybrid securities.