Finance

Finance

Finance

Build your investment thesis faster with complete context

Build your investment thesis faster with complete context

Turn filings, transcripts, and market data into structured context that feeds your model.

Turn filings, transcripts, and market data into structured context that feeds your model.

CHALLENGE

CHALLENGE

Building the investment case starts with weeks of data gathering

When evaluating a potential investment, the deal team needs a complete picture of the company: financial performance, ownership structure, earnings transcripts, regulatory filings, market sentiment, and risk exposure.

That information lives across dozens of sources. Analysts move between investor relations pages, 13D and 13G filings, earnings call transcripts, market data platforms, internal notes, and spreadsheets maintained across teams. Financial metrics must be pulled manually and entered into models. Sentiment signals require scanning transcripts and external commentary. Ownership and risk data live in separate systems.

Most of the team’s time is spent collecting and reconciling inputs rather than analyzing the business itself.

SOLUTION

SOLUTION

All your diligence in one place

Galaxy aggregates financial filings, earnings transcripts, ownership data, market signals, and internal research into a single connected representation of the company.

Analysts can ask questions across sources, extract model inputs directly, and explore relationships between financial performance and external signals without manually stitching together exports or rewriting spreadsheets.

The diligence process shifts from assembling fragments to working from a unified, living model of the business.

OUTCOME

OUTCOME

Investment decisions made faster with a complete picture

Instead of assembling inputs for days, analysts start from a connected representation of the business. That means more time refining the model and less time wrangling the inputs.

Financial metrics, filings, and sentiment signals are already linked. Inputs for valuation models are extracted directly from structured sources. Relationships between performance, ownership, and risk become visible without manual stitching.

The result is faster diligence, deeper insight, and stronger investment decisions.

AI readiness starts with shared context.

© 2026 Intergalactic Data Labs, Inc.

AI readiness starts with shared context.

© 2026 Intergalactic Data Labs, Inc.

AI readiness starts with shared context.

© 2026 Intergalactic Data Labs, Inc.

AI readiness starts with shared context.

© 2026 Intergalactic Data Labs, Inc.