The problems
📞
Expert call insight disappears into transcripts
The useful answer is buried across call notes, transcripts, research files, and analyst comments. Arvya keeps the cited takeaway connected to the source.
📚
Research history is hard to reuse
A team revisits the same company, sector, customer cohort, or thesis and starts from scratch. Arvya gives analysts a live memory of prior work and open questions.
📈
Monitoring workflows are manual
Earnings, filings, company updates, news, meeting notes, and CRM activity need to be reconciled into briefs. Arvya prepares the brief and cites what changed.
🛡️
Research automation needs strict controls
Financial firms need permissioning, approval queues, audit trails, source citations, and clear data boundaries before AI can touch research workflows.
Built for Hedge Funds & Asset Managers
Ask Arvya
Answers company, thesis, sector, and source questions with citations across notes, documents, calls, and research history.
Arvya Notetaker
Turns expert calls and company meetings into structured notes, evidence, risks, follow ups, and source-backed summaries.
Weekly Update Agent
Prepares internal research digests from new source activity, company updates, calls, and open questions.
CRM Agent
Keeps relationship and meeting records current without asking analysts to retype research activity into a system.
Questions
Is Arvya a trading system?
No. Arvya is not an execution or trading platform. It is a cited memory and approved workflow layer for research, relationship, monitoring, and internal work.
Can Arvya work with expert call transcripts?
Yes. Arvya can use transcripts from approved meeting and notetaking systems, then turn them into structured notes, questions, risks, and cited briefs.
Can Arvya handle custom research workflows?
Yes. Arvya is commonly configured around a firm's sources, taxonomy, review process, compliance boundaries, and preferred brief formats.
How does Arvya handle sensitive information?
Arvya is built around permissioned sources, approval before sensitive actions, audit trails, and deployment options that support strict finance data boundaries.