Agentic AI startup Kily raises Rs 30 crore to scale consumer-brand automation

Kily has raised Rs 30 crore ($3.1 million) in a Sorin Investments-led round to expand its product and go-to-market operations in India. The startup builds AI agents for e-commerce and quick-commerce tasks including pricing, inventory, advertising and product visibility.

— Source publishedTue, 4 Aug, 2026, 10:50 IST·First seen Tue, 4 Aug, 2026, 10:55 IST·Source Entrackr · Newsletter

What happened

Agentic enterprise AI startup Kily raised Rs 30 crore in a Sorin Investments-led round to expand product and go-to-market operations for consumer brands in

Key facts

  • Rs 30 crore
  • $3.1 million
  • Founded in 2025

Why this matters

Consumer platforms, retail-tech vendors and brand-service firms should view Kily as a potential partner or competitive threat in AI-led commerce operations automation.

What to watch

  • Named brand customer wins and reported improvements in conversion, stock availability, ad efficiency or gross margin.
  • Direct API, data-sharing or strategic partnership announcements involving quick-commerce and e-commerce marketplaces.
  • Expansion from recommendation dashboards into autonomous execution of pricing, advertising or replenishment tasks.
  • Evidence that brands consolidate multiple marketplace tools into a single AI operations platform.
  • Competitive launches from e-commerce enablers, retail-media platforms, agencies and marketplace-native seller tools.
  • Regulatory or platform-policy changes affecting automated pricing, scraping, data access or ad-management automation.
  • Prioritize integrations or data partnerships with major Indian marketplaces and quick-commerce platforms.
  • Package pricing, retail-media optimization, availability monitoring and catalog management into outcome-linked workflows for consumer brands.
  • Build a managed onboarding and human-approval layer to overcome unreliable product data and reduce brand-risk concerns.
  • Use the funding to target mid-market D2C and FMCG brands with high SKU counts before pursuing enterprise-wide deployments.
  • Develop marketplace-level benchmarks for share of search, stockouts, promotion effectiveness and retail-media return on ad spend.