Introducing Gravity
The AI operating system for valuation workflows
Gravity helps finance teams move from raw financial evidence to review-ready output, keeping source data, assumptions, approvals, and final deliverables connected in one system.
Two principles shape Gravity
- Trustable by design. Lineage, reproducibility, reviewability, and auditability are part of the workflow itself.
- AI as assistant, never author. AI accelerates extraction, drafting, and explanation, while people remain accountable for the final model and narrative.
Valuation work rarely breaks because teams cannot build models. It breaks because the workflow around the model is fragmented. Data lives across filings, spreadsheets, market sources, uploads, and approval threads. By the time a number reaches a committee, the output may be visible, but the reasoning behind it is harder to recover.
Gravity is built to change that. It treats valuation as a connected workflow rather than a collection of disconnected tools, preserving the path from source evidence to final delivery.
1. Why Gravity exists
Most finance teams still manage valuation work across too many surfaces at once: source filings, uploaded models, market inputs, analyst comments, versioned spreadsheets, approval threads, and manually assembled deliverables. The tools may work, but the handoff between them is usually where trust starts to erode.
Gravity approaches the problem from the opposite direction. Instead of treating governance as something added after the model is built, it makes governance part of the workflow from the start.
2. How Gravity works
Three phases. Full traceability. One connected workflow.
Every phase flows into the next — from data ingestion through analysis to final delivery, with provenance preserved throughout.
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01Ingest
Import filings, commentary, prior models, and internal assumptions into one governed case file.
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02Analyze
Develop and contextualize the valuation with connected analysis tied to evidence.
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03Deliver
Export review-ready outputs and packs with lineage and approval state preserved.
3. AI that helps without taking over
AI accelerates the work. It does not erase accountability.
In finance, the question is rarely only “What is the output?” It is also “Where did it come from?”, “What changed?”, and “Who stands behind it?” Gravity is built to make those answers easier to surface.
AI in Gravity is used where it saves time and improves clarity: extracting data from documents, mapping non-standard labels into a consistent structure, suggesting starting assumptions, drafting narrative sections, and helping explain value movement between versions. But Gravity does not treat AI as the owner of the model. AI suggestions are reviewable, and final assumptions remain under human control.
4. Built for enterprise teams
Gravity is designed for team-based work, not just individual analysis. It supports collaboration across analysts, reviewers, and approvers in a controlled environment built for financial workflows. That includes SSO, role-based permissions, review states, and BYOC deployment options for customers who need tighter control.
5. What customers actually get
- A faster path from evidence to a first defensible draft.
- A clearer review cycle, with comments, versions, and approvals attached to the work itself.
- Outputs that preserve the story behind the number, not just the final result.
- A platform that respects both spreadsheets and governance.
6. Who Gravity is for
Gravity is designed for teams that build, review, and communicate valuations — including investment banking, equity research, private capital, corporate finance, and valuation teams. It is especially useful where the quality of the answer matters — and the defensibility of the workflow matters just as much.