OpenKuber vs AlphaSense
AlphaSense is an AI search and research platform over filings, transcripts, expert calls and broker research. OpenKuber builds IROHA, which answers a narrower question for Indian equities: how much of a specific NSE price move came from the market, the sector, macro data and the company itself, with each cause tested against evidence. AlphaSense helps you find what was said; IROHA quantifies which cause moved the price. Many research teams would use both.
AlphaSense describes itself as: "AlphaSense is the AI platform redefining market intelligence for business and finance" (source, checked 2 Nov 2026)
Use AlphaSense when…
- You need to search across filings, transcripts, expert calls and broker research
- You want AI summaries of documents and real-time alerts on topics you follow
- Your coverage is global and multi-sector
Use OpenKuber when…
- You need to explain why a specific Indian stock moved, with the share of the move attributed to each cause
- You want causes that have passed statistical evidence tests rather than a list of documents
- You want stress tests and position-sizing inputs built from those causes
Side by side
| Capability | AlphaSense | OpenKuber (IROHA) | Source |
|---|---|---|---|
| Document search (filings, transcripts, research) | Yes. "500M+ documents" and broker research "from 1,700+ providers" | Not offered. IROHA reads filings and news as evidence, not as a search product | link |
| AI summaries and generative search | Yes. Generative Search, Deep Research, Smart Summaries | Short sourced explanations of each attributed cause | link |
| Excel add-in | Yes. AlphaSense for Excel | Not offered | link |
| Attribution of a stock move to causes | Not listed on their site as of 2 Nov 2026 | Yes. Splits a move into market, sector, macro and company-specific parts | Their site, 2 Nov 2026 |
| Causal inference | Not listed on their site as of 2 Nov 2026 | Yes. Each cause is accepted only if it passes evidence tests (pooled test, placebo dates, intraday windows) | Their site, 2 Nov 2026 |
| Indian equities focus | Not listed on their site as of 2 Nov 2026 | Built for NSE-listed equities; Bank Nifty constituents in the API today, wider universes in pilots | Their site, 2 Nov 2026 |
Competitor details come from AlphaSense's own public pages as checked on 2 Nov 2026. Features change; check their site for the current position.
A worked example only IROHA shows
From 21 Aug – 7 Oct 2026 RAYMOND rose +52.8%. IROHA attributes −0.5 points to the market, −1.9 to textile peers and +53.1 to the company, where the dated cause is an aerospace order win and policy news and company news pass every causal test. See the full breakdown.
Using them together
Use AlphaSense to find what management, brokers and experts said about a company. Use IROHA to check how much of the price move that news actually explains once the market and sector are taken out. The two outputs fit in the same research note.
Questions
Is IROHA an AlphaSense alternative?
Not directly. AlphaSense is a document search platform; IROHA is a causal attribution engine for Indian equities. They answer different questions and many teams would use both.
Does IROHA search broker research?
No. IROHA uses filings and news as evidence when it tests a cause, but it is not a document search product.
Sources
Last reviewed 2 November 2026; next review by 31 January 2027. AlphaSense is a trademark of AlphaSense Inc., used here only to identify the product. OpenKuber is not affiliated with AlphaSense Inc.. Spotted an error? Email [email protected] and we will correct it.
Other comparisons: Trendlyne · ACE Equity Nxt · Capitaline · causaLens · All