Private-data AI for Private Equity workflows
Deploy guided AI inside your environment to analyze documents, preserve metadata, and automate fund operations work without giving up control of sensitive data.
Your AI-powered fund operations assistant
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Understanding the challenge and providing AI-powered solutions
ILPA's 2025 reporting template expands expense categories and feeder disclosures, but most funds still wrangle spreadsheets across controllers, admins, and legal to fill quarterly reports on time.
Centralizes fee, expense, and carry data feeds, maps them to ILPA 2025 template fields, validates totals, and exports LP-ready workbooks with audit trails.
How Fee Reporting Hub transforms your fund operations operations and delivers measurable value
Ingests GL, admin, and expense data, tagging each line to the updated ILPA reporting categories.
Runs variance and completeness tests so controllers catch gaps before the quarter closes.
Delivers polished workbooks and PDF summaries aligned with ILPA guidance for each LP.
Connect the systems your team already runs, keep data in your environment, and bring governed AI into daily operations without a ground-up rebuild.
Give business teams a governed way to interact with documents, records, and workflow context. Fee Reporting Hub keeps the interface simple while preserving traceability, permissions, and deployment controls.
"What drove our fund operations performance last quarter?"
Instantly generates interactive charts, identifies key trends, and provides actionable recommendations with full context.
Ask follow-up questions, trace answers back to source material, and review outputs with clear provenance.
Extract signals from files, correspondence, and enterprise records while keeping metadata and business context intact.
Turn findings into reports, approvals, or next-step workflows without losing ownership of the process.
Retain operational context, security boundaries, and team-specific conventions across each workflow.
Deploy governed automation for Private Equity teams without moving sensitive data outside your environment
Bring evidence-linked automation to fund controller workflows with deployment patterns designed for sensitive data and human review.
Bring evidence-linked automation to chief financial officer workflows with deployment patterns designed for sensitive data and human review.
Bring evidence-linked automation to investor reporting manager workflows with deployment patterns designed for sensitive data and human review.
See how Fee Reporting Hub fits your current workflow, deployment model, and governance requirements without sending sensitive data outside your environment.
30-minute walkthrough tailored to your fund operations team
A tailored walkthrough mapping Fee Reporting Hub to your live workflows.
We map the real workflow, stakeholders, and source systems behind your deployment before configuration begins.
Security review packet, SOC 2 controls, and sample tenant architecture.
Dedicated RevOps + AI engineer to instrument signals and measure ROI.