The Venture Codex

Participated · Series A · Jul 2026

Founded in 2024 and based in Bengaluru, Revspot offers an AI-native platform combining consumer intelligence, campaign analytics, lead enrichment, Voice AI, WhatsApp engagement and sales handoff to identify and qualify potential customers. The company serves more than 50 customers across sectors including real estate, education, automotive and wealth management, and is expanding into the broader BFSI segment. Revspot is developing Spot, an orchestration platform that integrates campaign planning, lead enrichment, Voice AI and lead quality feedback into a single workflow for qualified pipeline generation. The startup raised a $1.4 million seed round in 2024 and has now closed a $4.8 million Series A to fund product and engineering hires, sector expansion, and selected international growth. Founders are Darshan Subash, Chirag Wadhera and Varun Garg.

Led · Equity · May 2026

Rep AI provides a unified, agentic AI platform for ecommerce that spans behavioral intent detection on arrival through personalized sales guidance, conversion optimization, and post-purchase support. The platform is built on proprietary behavioral AI and large language models, and it ingests each brand’s voice and product knowledge to deliver shared shopper intelligence across marketing, CX, and sales teams. Rep AI counts customers including Proof Wallets, VIBAe, K2, Unclaimed Baggage, Satya Jewelry, HigherDOSE, OLLY, Cloth & Paper, Bikes Online, and NutraBio. The company plans to use its latest $6.2 million follow-on funding to accelerate product innovation, expand market reach, and support enterprise growth. Rep AI is backed by Silicon Road Ventures, Osage Venture Partners, Flashpoint Venture Capital, and Zendesk, and it previously raised an $8.2 million Series A in August 2024.

Participated · Seed · May 2026

ReFiBuy develops infrastructure that transforms product catalogs so they can be evaluated, compared, and recommended by AI agents. The company describes its work as creating Agentic Commerce Optimization to bridge the gap between current retailer catalogs and agent-driven purchasing workflows. Its product aims to make product data machine-usable for discovery and purchase decisions on AI platforms. ReFiBuy announced an oversubscribed $13.6M Seed raise, providing its current financial runway. The company presented the funding as a response to most brands and retailers not being ready for agentic commerce and as a way to help them adapt.

Led · Series A · Sep 2025

i-Genie.ai is a Roswell, Georgia–based software company that combines artificial intelligence, natural language processing, sentiment modeling and predictive analytics to surface deep consumer insights. Its platform provides real-time intelligence in more than 25 countries and 20 languages, enabling executives to react to market shifts with greater speed and precision. Enterprise customers already include Kenvue, Unilever, Bayer, Coca-Cola, Danone and Clorox. By streamlining access to granular data, the company aims to democratize consumer research beyond traditional insight teams. The newly raised capital will fund product expansion, global scaling and leadership recruitment. With the $7.5 million Series A now closed, i-Genie is positioned to accelerate its go-to-market efforts and broaden its international footprint.

Participated · Series A · Jul 2025

Knit is an end-to-end, AI-native platform transforming how enterprises conduct consumer research by combining human researcher expertise with generative AI. The platform enables teams to run custom quantitative and qualitative studies and receive report-ready insights within days. Knit embeds customer context and researcher nuance into its models so AI outputs preserve depth and rigor while accelerating analysis, synthesis, and reporting. The company reports 5X year-over-year growth and serves more than 60 enterprise brands, including Amazon, NASCAR, Mars Wrigley, and Overtime. Knit has raised over $30M in total funding to date and uses its product to make research faster and more decision-ready. Future plans include accelerating product development with new AI-powered features, expanding research use cases, scaling go-to-market and research teams, and growing international research capabilities. Knit provides an end-to-end, AI-native platform that streamlines the consumer research process by marrying quantitative and qualitative data in the same survey. The product uses researcher-driven AI to take time-intensive tasks off researchers' plates and deliver stakeholder-ready reports faster. In the past year Knit has onboarded more than 30 enterprise brands, including T-Mobile, NASCAR, the WNBA, Mars Wrigley, Overtime, and JBL. The company reports that its annual recurring revenue grew 5X over the past year. Knit launched Report-Ready Insights — an offering that produces agency-quality quantitative and qualitative research at DIY costs. The company says its approach centers researcher expertise as the engine with AI as the navigator, enabling faster, more customizable research. Knit was founded in 2021 and is based in Austin, Texas.