Investment research AI
AI for Hedge Funds and Asset Managers
Arvya helps hedge funds and asset managers turn calls, notes, meetings, and documents into verified, cited research memory, deployed in the firm's own cloud tenant with strict data boundaries.
Book a Working SessionArvya helps hedge funds and asset managers address the same memory problem deal firms face: valuable context from calls, notes, email, and documents is generated constantly and then fragmented. Arvya builds cited memory, answers with sources, and stages updates for human review. Deployment and retention boundaries are configured for the engagement.
// who this is for
Hedge funds and asset managers with research context split across emails, notes, calls, documents, and internal memos.
Investment teams that revisit the same companies and theses and need prior work to be findable and cited.
COOs and CTOs who need AI deployed inside the firm's data boundaries, not in a vendor's cloud.
The problem
- Expert-call insight and meeting context disappear into transcripts and folders nobody re-reads.
- Research history is hard to reuse across analysts, PMs, and time. The same work gets redone.
- AI summaries are not trusted when they cannot cite the source or respect the team's workflow and permissions.
What Arvya does
- Builds cited memory across companies, sectors, themes, documents, meetings, calls, and research notes.
- Captures calls with the Arvya Notetaker (or the notetaker the firm already uses) into structured, sourced updates.
- Keeps every consequential action human approved and auditable, inside the firm's data boundaries.
// how it works
Pick a research or monitoring workflow with repeated manual effort.
Connect approved sources, notes, CRM records, documents, and meetings: the systems the firm already owns.
Deploy cited answers, digests, and review workflows; measure reuse and time saved against a baseline.
// works with
Frequently asked questions
Can Arvya work for hedge funds if the workflow is not deal execution?
Yes. The underlying pattern (one verified memory built from the firm's own calls, notes, and documents, with cited answers and human approved updates) applies to research the same way it applies to deals. The gold is already in the firm; the work is turning it into memory that outlives the analyst who created it.
Does Arvya train on fund research or portfolio data?
No. Customer data is not used to train models. Arvya deploys in the customer's own cloud tenant, reads content on demand through delegated permissions, and never stores raw emails, documents, or transcripts. It keeps only structured, cited memory and an audit log the firm controls.
// related
AI Implementation for Financial Firms →
Arvya helps financial firms implement AI inside real workflows: one verified deal memory, cited outputs, human approved writeback with receipts, deployed in the firm's own cloud tenant.
Financial Services Knowledge Graph →
Arvya builds verified, cited knowledge graphs for financial firms: per-deal memory today, connected into firm-wide cross-deal memory, with every fact keeping its source.
Deal Brain →
The Deal Brain is Arvya's verified memory for each live deal (every fact cited to its source) and the foundation of the Company Brain, the firm-wide cross-deal memory in development.
CRM Trust Workflow for Deal Teams →
Arvya makes DealCloud, Salesforce, and the CRM your firm already owns trustworthy again: bulk enrichment from SEC filings and firm websites, evidence backed updates a human approves, and a read-back receipt on every write.
One live mandate