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[ About ]

Forward-deployed teams.
AI-native senior operators.

A team of senior operators who have built and transformed enterprise systems at Capital One, Microsoft, Fannie Mae, Securiti, and the NFL — most recently leading cloud, ML, and AI initiatives at scale. We don't just implement AI; we navigate the harder enterprise problems: organizational alignment, workforce capability shifts, security and compliance constraints, and vendor-agnostic architecture.

01Leadership Team

Operators turned partners.
Senior, hands-on, in the room.

Jocelyn Houle
Co-founder & CEO

Jocelyn Houle

Jocelyn has spent two decades putting AI and data products in front of regulated businesses — and keeping them there.

  • SecuritiEarly executive at the data + AI security pioneer acquired by Veeam for $1.7B.
  • VentureCorporate venture investor in AI and data innovators including H2O.ai, Snowflake, Databricks, and ThoughtSpot, driving $160M+ in operating returns.
  • Capital OneLed the team that shipped the first top-10 bank cloud data governance platform, enabling full migration of data, apps, and associates to the cloud.
  • Fannie MaePatented the engine that prices $500B+ in mortgage collateral every year.
LinkedIn
Jon Gole
Co-founder & CPO / COO

Jon Gole

15 years of building foundational enterprise platforms and driving transformation inside a top-10 bank facing heavy regulation.

  • Capital OneVP of Product across Developer Experiences, Enterprise API & Data, Decisioning Systems, and Card ML/AI — the platforms that move the bank.
  • Impact~$200M unlocked through a unified enterprise data layer; $500M+ in NPV from rebuilding US Card underwriting; $50M+ annual vendor opex saved through internally built platforms.
  • Scale200+ partner integrations, billions of API transactions a year, thousands of AI/ML users, and 100% migration of major business capabilities to cloud services.
  • RiskLaunched AI & ML enterprise controls to identify & resolve risks, facing & passing robust regulatory reviews.
LinkedIn
02Forward-deployed team

Senior AI experts.
Technical architects, developers, and operators.

Chris Mathias
Chris Mathias
Senior AI Consultant & Enterprise Architect

30 years building enterprise software and advising C-suite leadership across Financial Services (Capital One), media & entertainment (NFL & streaming video), and tech infrastructure (Qualcomm). Specialties include cloud architecture (AWS, Azure, GCP), AI/ML strategy and system design, API development, data pipelines, high-performance computing, and developer productivity.

LinkedIn ↗
Rick Hightower
Rick Hightower
Senior AI Architect & Engineering Lead

Deep experience in production-ready GenAI systems, harness/context engineering, and low-latency data systems. Has delivered platforms at Capital One, NFL, Apple, and others.

LinkedIn ↗Blog ↗
Coleman Broaddus
Coleman Broaddus
PhD AI Researcher · ML & Reinforcement Learning

Decade-plus experience in image processing, ML, and reinforcement learning. Applied ML methods for biology and genetic research. Led buildout of the RL system for AI autonomous software testing at Antithesis.

LinkedIn ↗
Steven Doll
Steven Doll
AI Transformation Strategist

Ex-Capital One AI and API engineering lead. Designing the next generation of "User-as-Director" paradigms — where humans set intent and AI systems execute end-to-end.

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Kristi Candela
Kristi Candela
Human-Centered Design & AI Adoption Strategist

Human-centered design strategist with 20 years helping organizations like JPMorgan, PIMCO, Capital One, and Redscout turn user insight into adopted products, workflows, and operating change. AI practitioner and founder advising enterprises on AI-first workflow transformation and workforce operations.

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Kevin O'Gallagher
Kevin O'Gallagher
Data Scientist · ML/AI Use Case Strategist

Veteran data scientist with deep expertise identifying, shaping, and delivering data and ML/AI use cases across financial services, healthcare, and defense.

Supriya Potdar
Supriya Potdar
Technical Product Lead & Solutions Architect

Experienced in building highly scaled data products, managing data lifecycle via automated governance, and leading AI/ML transformation projects. Ex-Capital One, Deloitte.

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03How we work

Senior pods.
Forward-deployed engineering.

01

Senior teams

The people who scope the work do the work. No staffing changes after the engagement begins.

02

Honest tradeoffs

We tell you when not to build. Many agent ideas should be deprioritized early.

03

Operating outcomes

We measure ourselves on cycle time, resolution rate and durable change — not artifacts.

04

Capability transfer

We work alongside your teams so the capability remains after we leave.

Speak directly with leadership.

The leadership team takes every initial conversation.

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