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Connect every source, normalize every schema, and deliver governed investment data without custom ETL maintenance.

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Investment Data Platform!

Transform Fragmented Data into Action

Turn disparate investment data into AI-ready assets that drive action

Talk to an Expert

Client Success Stories

Measurable results from firms running on Aquata.

3X
Growth in Private Markets

A growing private markets firm tripled its business with support from Aquata streamlining its data.

1.4B+
Records processed per month

A leading global bank validates and harmonizes over a billion records per month with Aquata.

50%
Faster Report Generation

A $100B AUM asset manager cut report turnaround time in half with Aquata. Same team, same reports, half the wait.

Built for Investment Data. Designed for your entire team.

Investment data is uniquely complex. Every vendor delivers differently. Aquata was built to handle that complexity, and designed to empower your team.

Multi-Custodian

Consolidate positions across custodians

  • Pre-built custodian connectors for State Street, BNY, Northern Trust, and more
  • Positions, transactions, and cash normalized on ingestion
  • Add a new custodian without building a new integration
Explore Asset Manager Solutions

NAV Oversight

Six fund admins. Six formats. One NAV view.

  • LLM-powered extraction for Alter Domus, CITCO, MUFG, SEI, and more
  • Distributions, allocations, and NAV packs validated automatically
  • Full audit trail on every document
Explore Private Market Solutions

Speed

Connect new data sources in days

  • Pre-built connectors for Bloomberg, Refinitiv, ICE
  • Event-driven pipelines for intraday feeds
  • Deploy without filing an engineering ticket
Explore Hedge Fund Solutions

Connect any asset class or data source

See all connectors
ICE Data Services
Morningstar
BNY Mellon
CITCO
U.S. Bank
Goldman Sachs
Northern Trust
Bloomberg
S&P Global
Snowflake
BlackRock Aladdin
MSCI
SimCorp
FactSet
Alter Domus
State Street

Platform Capabilities

Act with confidence on clean, connected data

Pre-built connectors, data models, and quality checks so your team spends time on insight, not plumbing.

API Connectors

State Street, Bloomberg, Alter Domus, and more. Configure and deploy without writing custom ETL.

Data Access Controls

350+ models covering positions, NAVs, securities, and performance. 10,000+ attributes ready to use.

Built-in Data Quality

Exception-based validation across six dimensions on ingestion. Issues surface before they reach your warehouse.

Bulletproof Data pipelines

Visual pipeline builder with event-driven triggers, parallel execution, and AI Copilot. Low-code for common transforms, full SQL when you need it.

Unstructured Data Extraction

Upload capital call or loan notice PDFs and get structured, validated data automatically.

MCP for AI Connectivity

Connect Claude or ChatGPT to your investment data through one endpoint. Deploy connectors, run queries, and build pipelines — with full audit trails.

How long does your team take to add a new data source?

The Old Way

How teams have always done it

The Aquata Way

How it works now

Connecting to a new data source
Custom code per source. APIs, file feeds, PDFs. 3-6 months per integration.
100+ pre-built connectors plus LLM-powered document extraction. Configure and deploy in weeks.
Normalizing data across sources
Every source has its own format. Your team writes and maintains mapping logic for each one.
350+ domain models. Positions, NAVs, transactions, securities normalized on ingestion.
Data quality and access controls
Manual spot checks and shared logins. Issues surface in reports, not at the source. No control over who sees what.
Six-dimension validation on ingestion. Column-level access controls. Role-based permissions down to individual attributes.
AI and agents
Copy-paste between your data tools and ChatGPT. Build custom integrations to give AI access to your data. No governance, no audit trail.
Query your data in plain English. AI agents build pipelines, author validation rules, and deploy connectors. Claude and ChatGPT connect directly via MCP.
Observability and data catalog
Tribal knowledge and spreadsheets. No way to trace where a figure came from or where it went.
Full data catalog. Source-to-report lineage. Know where every figure has been and where it's going.
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Public and private, one portfolio view — ABOR/IBOR platforms, custodians, fund-admin NAV packs, and LLM-extracted GP reports connected into one layer, with TWR and IRR normalized in the same report.

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