AI reporting reviews are more comprehensive and accurate

What makes our reporting review AI product distinct?

Our AI systems read and reconcile hundreds of reports annually.

Financial and regulatory reports change formats almost with every new reporting cycle. These format changes make it difficult for most AI tools to perform consistently.  This is compounded by the different fund types, domiciles, reporting requirements, and sub sections. Our comprehensive system can tackle nearly any format, report, and section.

Visual AI Reader

Object detection AI helps reduce the reading errors of most tools

Learning Feature

We apply named entity recognition to learn about terms and headings that vary

End-to-End

Our system checks virtually every element of the report from holdings to footnotes

Deep Research

Our deep research agents can answer questions and track and predict incidents and root causes

Reporting agents are trained to read specialized reporting sections

Schedule of Investments

Checks for internal consistency, foot notes, prior year reports, dates, recalculations, and significance

Statement of Operations

Checks prior year report, dates, recalculations, roll-forwards, footnotes, completeness, and recalculates totals and subtotals

Notes to Financial Statements

Checks unique special tables and, derivatives tables, distribution fees, leveling table, ownership, purchases and sales, share transactions

Statement of Assets and Liabilities

Checks sorting and ordering, prior year report, dates, recalculations, roll-forwards, footnotes, completeness, and recalculates totals and subtotals

Financial
Highlights

Checks footnote tagging, internal consistency, dates, sorting and ordering, recalculations and significance

Statement of
Cash Flows

Checks sorting and ordering, supporting files, recalculates total column, recalculates totals and subtotals vertically

Fund
Expenses

Checks for date accuracy and recalculates figures

Statement of Changes in Net Assets

Completeness checks, sorting and ordering, prior year report, dates, roll-forwards

Our AI agents help identify root cause trends, accelerating draft reviews

Complete tracking of exceptions across each draft of financial reports
Agents provide deep research on root causes of reporting errors
Tracking of reporting accuracy exceptions by fund and report

Selective Team

  • Team members drawn from top research universities like Harvard, Yale, MIT, and Michigan
  • Several PhDs on staff

Academic Advisors

  • Joint reinforcement learning agent research with Yale
  • Advisors from Harvard, Oxford, and Yale

AI First Platform

  • Deep research agents specialized in financial transactions
  • Integrates all sources of data and docs

Secure Platform

  • Tracks and measures agent and algorithm performance
  • SOC1 certified
  • ISO 27001 certified
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