Generic AI can invent confidence
A fluent answer may use a stale figure, an unsupported claim or the wrong financial period. The adviser needs the evidence beneath it.
Altys helps Indian investment-advisory teams organise company and fund evidence, run repeatable research frameworks, maintain watch conditions and verify analytical work. The software supports the responsible professional; it does not issue personalised advice.
AI can compress document work, but the team still needs controlled sources, consistent methods and a visible boundary between research output and professional judgement.
A fluent answer may use a stale figure, an unsupported claim or the wrong financial period. The adviser needs the evidence beneath it.
A small team may follow many funds and companies while only a subset requires deeper attention at any moment.
Without a shared checklist, different analysts may evaluate the same type of investment using different definitions and evidence standards.
Use AI to accelerate information work while keeping professional review explicit.
Choose the firm’s research universe, frameworks, evidence standards and review responsibilities.
Bring financials, filings, calls, ownership, fund portfolios and relevant market data together.
Run transparent screens, comparisons, scorecards and model scenarios.
Open the source, inspect the calculation and export the work before it is relied upon.
Watch defined company, fund and portfolio conditions so the team reviews exceptions promptly.
AI can assist with document reading, extraction, comparison, screening and monitoring. The firm should control the sources, verify material facts, protect private data and keep professional judgement and applicable responsibilities with qualified people.
No. Altys is financial data, analytics and research-workflow software. It does not provide personalised investment advice or recommendations.
Yes. Altys covers Indian listed equities and mutual funds, with workflows appropriate to each and the ability to review their combined portfolio exposures.
No. Teams can work with plain-language research questions, configured frameworks and familiar Excel exports. Coding is optional for custom analysis.
Bring one real company, fund comparison or monitoring process. We will show how the evidence can remain sourced, repeatable and reviewable.