Siana Capital Management

Co-founders Siddharth Pai and Archana Hingorani jointly lead investment decisions. Hingorani brings the private-equity track record — she managed $3.8 billion across 14 IL&FS funds — while Pai provides the technology-operations lens from his IBM-KPMG career. The firm states the investment team has worked together on transactions since 2018, suggesting committee-based decision-making rather than a single decision-maker.

Siana operates as a venture fund manager, not a family office. It does not manage the capital of a single wealth originator. The firm's website describes it as a venture fund manager specializing in deep-tech and science domains serving the India growth story, and the partnership is built around institutional careers at IL&FS, IBM, KPMG and Accenture.

Siana enters at early to mid-stages, primarily Series A and Series B, prior to exit. The firm deliberately avoids seed-stage risk and write typical investment tickets of $1 million to $3 million. This positions Siana to capture early value creation after product-market fit has been established.

The firm does not publicly disclose its sourcing model, but co-founder Siddharth Pai operates as an active angel investor and mentor to deep-science and deep-tech startups, which likely creates a pipeline. The management team's combined network — spanning KPMG, IBM, IL&FS and Accenture — provides institutional connectivity across India's technology ecosystem.

Siana does not publish a co-investment policy. As a venture manager deploying $1M–$3M per position at Series A and B stages, it is structurally positioned to lead or participate in syndicates, but no specific co-investment vehicles or partner networks are disclosed on the firm's site.

The firm's Advisory Boards provide environment, governance, social, scientific and technology expertise, but Siana discloses no separate philanthropic entity, foundation, or impact-vehicle structure. Its investment focus on deep innovation and 'socially relevant' tech is a strategy lens, not a discrete legal structure.

While the firm lists nine target sectors — including AI, agritech, biotech, cleantech, fintech, healthcare, SaaS and virtual reality — it does not publish a negative list. The sector coverage is broad within deep-tech and science verticals, and exclusion policies for areas such as defense, gambling or extractive industries are not stated.