ATLAS AI Accelerator.

The Data Engine for Enterprise AI.

Take your AI pilots and agents to production. Institutionalize AI use cases across your Private Markets firm.

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Over $2 Trillion of AUM flows through ATLAS

The data and AI context layer trusted by the world’s leading Private Markets firms.

AI use cases are everywhere. So are pilots.

Pilots and AI agents prove feasibility in days and win sponsorship across the firm. They are an important first step.

  • FinanceNAV review
  • IRDDQ automation
  • InvestmentDeal sourcing
  • PortfolioKPI extraction
  • Firm-wideKnowledge search
  • LegalConflicts checking
  • InvestmentData room review
  • FinanceFee & waterfall checks
  • ESGESG data collection
  • IRSide letter management
  • PortfolioCovenant monitoring
  • Firm-wideMeeting summaries
  • IRQuarterly LP letters
  • Firm-wideSlide drafting
  • FinanceValuation support
  • InvestmentNDA review
  • PortfolioBoard pack summaries
  • IRCapital call notices
  • FinanceFinance close
  • InvestmentInvestment memo drafting
  • IRLP query response
  • FinanceK-1 data extraction
  • Firm-wideResearch synthesis
  • InvestmentDD report synthesis
  • PortfolioPortfolio news monitoring
  • FinancePayment anomaly detection
  • InvestmentModel population
  • IRSubscription doc review
  • LegalRegulatory horizon scanning
  • FinanceLPA term extraction

Moving from pilots to production is a different journey.

Pilot
Show feasibility.Get early results.Earn buy-in.
Production
Scale across the firm.Sustain results over time.Build lasting trust.

Private Equity • Private Credit • Real Estate • Infrastructure • Fund of Funds & Secondaries

ATLAS AI Accelerator: The Engine for Enterprise AI.

The quality, control, and context layer you need for institutionalizing AI, with governance built in.

Operational Systems CRM · Portfolio monitoring · ERP Market Data Company · Investor · Valuations Fund Administrators Financials · Cap. Accounts · NAV AI & Agents Any LLM · governed access BI & Reporting Native ATLAS · Power BI Data Warehouse Public–private connection Data Quality, Control & Context Layer Master · Normalize · Governance & Quality · Reconcile · Enrichment Validated data Source data in transit AI interprets. ATLAS computes. Every answer traces back to source.
Operational Systems CRM · Portfolio monitoring · ERP Market Data Company · Investor · Valuations Fund Administrators Financials · Cap. Accounts · NAV Data Quality, Control & Context Layer Master · Normalize · Governance & Quality Reconcile · Enrichment AI & Agents Any LLM · governed access BI & Reporting Native ATLAS · Power BI Data Warehouse Public–private connection Validated data Source data in transit AI interprets. ATLAS computes. Every answer traces back to source.

What ATLAS AI Accelerator adds to your use cases

ATLAS brings what your AI use cases and agents need: data readiness, governance, and evidence.

It fills the technology gap between a pilot and business value in production.

Your pilot

76%

Connected data

50+ pre-built connectors bring in data from your systems, data providers, and fund administrators, so teams stop collecting it by hand.

One trusted source

ATLAS matches and standardizes your data across sources, so every team works from the same numbers.

Every figure has a source

Each number traces back to where it came from, so you can show investors, auditors, and the board the evidence.

AI that knows your history

AI draws on approved data and its history in ATLAS, so each output builds on what your firm already knows.

Human in the loop

Your teams review, edit, and approve AI output before it is used, with every step recorded for audit.

Used across the firm

Approved outputs flow into your reporting tools, so AI moves from one person’s desk to the whole firm.

Download the product brochure

Get more details on ATLAS AI Accelerator capabilities for Private Capital firms.

Download Brochure

End-to-end approach. From pilots to production.

Five steps, delivered by a team with 17+ years in Private Capital operations and technology.

01

Define the process

Inputs, outputs, controls and owners.

02

Map the data

Data readiness: sources of truth, lineage, and connectors.

03

Set the quality bar

Accuracy criteria, AI governance, and review matched to risk.

04

Build for production

Versioned, maintained, integrated with your systems.

05

Prove the value

Measured impact on time, cost, and quality, to guide the next investment.

ATLAS AI Accelerator

What Private Capital firms get in production

Accountable, investor-ready data
An ever-growing memory and context layer
AI use cases used by whole teams, not individuals
A scalable model to continuously develop use cases
Flexibility to adapt as AI models and tools change

Get your priority use case into production.

See how ATLAS turns working prototypes into enterprise AI your firm can stand behind.

Book a demo →

Frequently Asked Questions

1. What is ATLAS AI Accelerator?

ATLAS AI Accelerator takes AI pilots to production for Private Markets firms. It combines the ATLAS Data Platform with a five-step approach, from process definition to proof of value.

2. What does it take to move AI pilots to production in Private Markets?

Pilots prove what AI can do and win sponsorship across the firm. They are built for speed, often with manual steps and data prepared offline. Production adds a clear strategy, an operating model, and a budget. It also needs integrated data, controlled workflows, and ongoing monitoring.

3. How do you get data ready for enterprise AI?

AI needs one trusted record for each portfolio company, fund, and investor, built from all your systems. Users also need to see the source document behind each figure. ATLAS delivers this through 50+ pre-built connectors, data mastering, and validation.

4. How do you create an audit trail for AI outputs?

Build AI into a controlled workflow rather than a one-off output. For instance, when a portfolio company sends a new board pack, ATLAS starts a review workflow. AI adds prior-period history and news, then drafts the commentary. Investment teams review, edit, and approve it before publication. Every step is recorded and linked to its source.

5. How does ATLAS AI Accelerator work with Claude and ChatGPT?

ATLAS AI Accelerator works alongside Claude and ChatGPT, so your teams keep the AI tools they know. Through the ATLAS MCP, those tools query governed data in ATLAS instead of uploaded files. ATLAS adds what production needs: mastered data, human review, and an audit trail.