Agents at the core.

r.Team built a platform with agents at the core.

Our agents are not general assistants with a compliance layer added later. Fiduciary responsibility, ethical practice, cybersecurity, and advisory regulation sit inside the agent loop: what they can see, what they can propose, what they must cite, and what only a human can approve.

Governance is not the wrapper. It is the architecture.

83%¹

Fee compression has ended the old differentiator

of advisors expect to charge under 1% for clients with $5M+ in assets by 2026. Average asset-based advisory fees fall from 125 basis points for a $100K client to roughly 67 basis points at $10 million.² When pricing converges, institutions differentiate on the fiduciary quality of administration — controls, consistency, and explainability.

Fiduciary alignment with the governing document

Every investment decision and every fee charged must be reconcilable to the governing trust instrument, applicable regulation — including fiduciary-activities examination standards for national banks — and case law. The Reasoning Engine, Agent Studio, the Bridge, Trust Intelligence, and the Record carry that work.

$27B³

Account-level cybersecurity watch

in elder financial exploitation suspicious activity reported in one year (155,415 Bank Secrecy Act filings). Account takeover was the most frequently reported pattern. Administrators need account-level watch — anomalous distribution requests, changed payment instructions, unusual access patterns — surfaced by Agent Studio agents.

Giving trust administrators the insight to act consistently — fiduciary, regulatory, and legal — on every account, every day.

The insight

Steve Quinn has spent more than 30 years inside enterprise trust accounting platforms, and one lesson stands above the rest: the hardest part of trust administration isn’t the accounting — it’s the judgment. Every account decision sits at the intersection of the governing document, fiduciary duty, regulation, and case law. Institutions have always depended on their most experienced administrators to hold that intersection in their heads — and that expertise walks out the door a little more every year.

The platform

r.Team makes that judgment consistent, explainable, and available to every administrator. The Reasoning Engine is the shared context every agent reasons from. Agent Studio, the Bridge, Trust Intelligence, and the Record carry the work — the same map as the Platform.

  • 30+ years in trust accounting platform internals and trust administration
  • Designed the query system behind 100+ million report queries for a leading enterprise trust accounting platform
  • Built a structured settlement system processing more than $2 billion in trust payments for a Fortune 100 insurer
  • Built and configured the private-placement life platform for one of the largest specialist PPLI carriers
  • B.S. in Management Information Systems, Northeastern University
  • Graduate Certificate in Computer Science, Harvard Extension School
  • Certified in knowledge graphs, semantics, and Cypher (Neo4j)

Why This Work, and Why Now

Every trust instrument carries a structure of meaning: powers granted, duties owed, distributions permitted, limits imposed. For decades, that structure has lived in two places — the document itself, and the judgment of the people trained to read it. Software has never been able to hold it. Until now.

Building a system that can reason about trust administration requires something rare: the ability to translate thirty years of fiduciary practice into a precise, formal vocabulary a machine can work with. That translation is the hard part. It cannot be done by a technologist who has never sat inside a trust operation, and it cannot be done by a trust professional who has never built production systems. It requires both, in one discipline.

Our founder brings more than 100,000 hours of hands-on programming and data analysis — nearly all of it spent inside trust accounting platforms, trust system conversions, and the data that fiduciary institutions run on.

The timing matters as much as the expertise. Artificial intelligence has recently crossed a threshold. The newest generation of systems combines two capabilities that were previously separate: the ability to read and understand language the way a professional does, and the ability to follow explicit rules the way a compliance framework demands. This convergence — sometimes called neurosymbolic AI — is what finally makes accurate, accountable intelligent agents possible.

r.Team exists at that intersection: deep fiduciary knowledge, formally encoded, operating within an intelligence framework built to be examined, audited, and trusted.

Sources

  1. Cerulli Associates, The Cerulli Edge—U.S. Advisor Edition, 2Q 2025.
  2. Cerulli Associates, 2025 advisory fee research, as reported May 2025.
  3. FinCEN, Financial Trend Analysis: Elder Financial Exploitation, April 2024.
  4. Interagency Statement on Elder Financial Exploitation, December 2024 (FRB, CFPB, FDIC, FinCEN, NCUA, OCC, and state financial regulators).

Company information

Got-Data Inc.
680 US Highway 130 #8052, Trenton, NJ 08650
Brand: r.Team
Website: https://r.team