Celer
BY LANDING POINT
// DATA READINESS + AI ENABLEMENT
Your AI is only as reliable as the history underneath it.
Turn fragmented fund data into a trusted foundation for analysis, reporting, and AI.
// THE PROBLEM
Years of operating history rarely live in one reliable place.
The data may be there. The trust is not.
- Multiple entities and investor histories.
- Records split across fund administrators.
- Inconsistent historical Fund Ledger data.
- Warehouse data that no longer reconciles.
- No traceable system of record.
Every answer starts with another question about the data.
// WHAT DATA READINESS MEANS
Not generic cleanup. A trusted historical data product.
Reconciled to official records, traceable to source, and usable by people, platforms, and AI.
01
Trusted history
One governed view across entities, investors, funds, systems, and reporting periods.
02
Reconciliation & lineage
Tie results to official NAVs and attribution. Preserve the source behind every number.
03
Usable access layer
Structure the foundation so existing platforms, analysts, and AI can use it safely.
// FROM HISTORY TO FOUNDATION
Make the data trustworthy before asking it to work harder.
A controlled path from fragmented records to an operating data product.
01 / INVENTORY
Map the history
Identify systems, files, entities, administrators, owners, and periods. Make the gaps visible.
02 / NORMALIZE
Create common structure
Standardize entities, investors, accounts, funds, dates, and reporting conventions.
03 / RECONCILE
Establish official truth
Tie the historical record back to official NAVs, attribution, and approved source documents.
04 / ENABLE
Put the data to work
Build the governed database and access layer for analysis, platforms, reporting, and AI.
// WHAT THIS UNLOCKS
A trusted history is what reporting,LP work, and AI actually run on.
01
Reporting that closes
One NAV, attribution, and source trail. No version fights at quarter-end.
02
LP answers that stand up
DDQ and investor questions cite official history, not a scavenger hunt across files.
03
AI that is allowed to run
Models sit on governed access, not a warehouse that no longer reconciles.
The rest of the firm becomes a consumer of one record. Not a committee that re-litigates every number.
// THE ENTRY ENGAGEMENT
Start with a bounded Data Readiness Assessment.
Establish what exists, what can be trusted, and what the first implementation should include.
01 / MAP
Source & system map
Systems, files, owners, entities, administrators, reporting periods, dependencies, and known gaps.
02 / ASSESS
Data-quality & reconciliation findings
What ties to official NAVs and attribution, what does not, and which breaks require decisions.
03 / PLAN
Target architecture & implementation scope
Canonical data model, governance requirements, priority workflows, sequence, effort, and acceptance standards.
Know what can be trusted, what needs repair, and what to build first.
Celer
BY LANDING POINT
// THE TEAM
Operators who build the foundation and the workflows.
