# OpenKuber

> OpenKuber builds IROHA, a causal-intelligence engine for Indian equities. IROHA explains the drivers behind NSE price moves (market, sector, macro and company-specific), tests each cause against evidence, and turns the result into stress tests and position-sizing inputs. Customers are SEBI-registered RIAs, PMS firms, research desks and prop funds. OpenKuber does not serve retail investors and does not give investment advice.

Key facts:
- Coverage: NSE-listed equities; the API covers the 14 Bank Nifty constituents and the index today, wider universes in pilots
- Benchmark: IndiCause-Bench, a benchmark of 1,532 public market-shock scenarios (plus 382 held out) testing whether AI models identify the causal path and size of a shock
- Showcase: LabhLabs, live paper-trading experiments of AI models on NSE stocks. In Season 1 (2–27 March 2026) six LLMs each traded ₹1,00,000 of paper capital and all six finished negative. Season 2 starts 15 December 2026
- Supported by Claude for Startups (Anthropic), the Sarvam Startup Program and AI Grants India
- Contact: hello@openkuber.com · X: @OpenKuber

## Product
- [IROHA causal engine](https://openkuber.com/iroha): how move attribution and evidence tests work
- [Shock engine example: RAYMOND](https://openkuber.com/shock-engine/raymond): causal breakdown of every big move in one NSE stock since 2015 (52 moves); live report at https://raymond.openkuber.com/
- [Use cases for RIAs](https://openkuber.com/use-cases/ria)
- [Use cases for PMS firms](https://openkuber.com/use-cases/pms)
- [Use cases for prop desks](https://openkuber.com/use-cases/prop-desks)
- [API](https://openkuber.com/developers): available to pilot customers

## Research and data
- [IndiCause-Bench](https://openkuber.com/indicause-bench): benchmark, scoring, leaderboard
- [LabhLabs Season 1 results](https://openkuber.com/labhlabs/season-1): six LLMs paper-traded NSE, 2–27 Mar 2026, with CSV downloads
- [LabhLabs Season 2](https://openkuber.com/labhlabs/season-2)
- [Research notes](https://openkuber.com/research)

## Docs
- [Docs: concepts, glossary, coverage, limits](https://openkuber.com/docs)
- [How IROHA compares with other research tools](https://openkuber.com/compare)

## Company
- [About and team](https://openkuber.com/about)
- [Institutional access](https://openkuber.com/pilot): book a call or email hello@openkuber.com