Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Samkhya positions itself as an operating system for “private market investors,” with a clear focus on investors in India’s private markets. It is not a general-purpose chat-style AI product, but a vertical investment research platform built around due diligence, initial screening, investment committee materials, and portfolio tracking. Its core data foundation consists of Indian regulatory filings, mandatory corporate financial disclosures, and external signals such as fundraising, hiring, websites, and social media.
The platform emphasizes converting unstructured government documents and PDFs into verified financial data. It can generate metrics such as revenue, EBITDA, net profit, and year-over-year growth, and further turn them into investment-grade one-pagers, investment memos, peer benchmarks, and risk flags. The site repeatedly stresses “no black box”: every insight is linked back to verifiable source documents, making it suitable for investment committee review. It also supports discrepancy detection between pitch decks and regulatory filings, and claims to use proprietary financial reasoning models rather than general-purpose LLMs.
The public website only shows Request Access, with no disclosed plans, pricing, free quota, trial period, or payment methods. This suggests it is more likely an institution-focused, sales-led product. Before procurement, users would need to contact the team to confirm coverage, seats, project volume, and data access rights.
Its strengths are a clearly defined vertical use case and a product design centered on the pain points of due diligence in India’s private markets. It is especially suitable for investment teams that need audit trails, consistent evaluation standards, and batch screening. In one case, the TechNext project reduced the review time for a single startup from around 2 hours to 15 minutes, and evaluated 60 AI startups within 7 days. The limitations are the lack of public information: there are no clear details on API access, compliance certifications, model evaluations, pricing, or Chinese-language support. Its value also depends heavily on Indian regulatory filings and public data, so its portability to other countries or asset classes is unclear.
Samkhya is better suited to VCs, CVCs, growth funds, and family offices focused on the Indian market, particularly for initial screening, due diligence, and investment committee preparation. Its accessibility from China is unknown, and payment and contract terms are not disclosed. For users focused on China’s primary market, it may be necessary to combine local data sources such as 企查查, 天眼查, and IT桔子, or use global private market databases such as PitchBook, CB Insights, and Tracxn as alternatives or complements.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on samkhya.ai official site.
samkhya.ai is an India AI Apps provider. TG4G tracks its product information, an overall rating of 7.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach samkhya.ai directly.