Inconsistent research
Different analysts use different sources, definitions and review standards, making company comparisons and committee work difficult to audit.
For AIFs
Research breadth without losing institutional discipline.
Altys helps AIF teams cover more Indian companies through repeatable, auditable research workflows. It brings filings, concalls, guidance, financials, ownership, factors and portfolio context into one process while keeping investment judgement with the fund.
Coverage at scaleAudit trailForensicsPortfolio context
The operating problem
More information does not create continuous attention.
AIFs often need to cover a wider universe than their permanent headcount can read deeply. The solution cannot be shallow AI summaries or a collection of unrelated dashboards.
Exceptions get buried
The team receives every announcement but lacks a system for separating administrative noise from evidence that changes a forecast or thesis.
Learning does not compound
Forecast errors and research misses are discussed, then disappear. The next model repeats the same sector bias or management assumption.
The Altys workflow
Research, decision and monitoring on one evidence trail.
The Altys workflow standardises the evidence and the process, not the investment opinion.
01
Set the coverage standard
Define the financial, business, forensic and management evidence required before a company reaches the investment committee.
02
Run parallel research
Use structured data and AI reading across companies while preserving source links, missing states and company-specific KPIs.
03
Escalate exceptions
Route material changes, guidance misses, accounting anomalies and portfolio-relevant events to the appropriate analyst.
04
Compare consistently
Evaluate peers on the same definitions and reporting basis without erasing the sector-specific drivers that matter.
05
Close the feedback loop
Record forecast versus actual, management delivery and research outcomes so the fund’s own history improves the next decision.
What the system adds
Infrastructure around the analyst, not a black box above them.
AI should widen the desk’s attention. The fund’s process, evidence standard and capital-allocation judgement remain the edge.
Repeatable evidence packsA common research structure makes committee review faster without forcing every company into one verdict.
Forensic checks at scaleCash quality, working capital, related disclosures and other anomalies can be monitored across the wider universe.
Parallel company researchRun the same sourced question or research task across many companies instead of opening them one by one.
Portfolio-aware escalationPrioritise changes in owned names and high-impact exposures before the rest of the universe.
Questions, answered
What teams usually ask before a pilot.
How can an AIF research more companies without lowering quality?
The workflow must separate repeatable work from judgement. Machines can collect, normalise, compare, read and monitor at scale, while analysts set assumptions, investigate exceptions and make portfolio decisions.
Does Altys generate investment recommendations?
No. Altys provides data, analysis and workflow infrastructure. It does not issue buy, sell or hold recommendations and is not a SEBI-registered Research Analyst or Investment Adviser.
Can an AIF use its own scorecards and research process?
Yes. Altys is designed to support firm-specific scorecards, research questions, monitoring triggers, reports and portfolio context rather than imposing a single house style.
Can Altys preserve an audit trail?
Yes. Figures remain linked to sources and dates, calculated metrics use explicit methods, and research outputs can retain the evidence, assumptions and decision context behind them.
Private preview
Research once. Let Altys keep watching what changes.
Bring a real company universe and a real monitoring problem. We will show how Altys can connect the data, research workflow and alerts around the way your team already invests.