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§ Private Profile · Bengaluru, India
SaaS competitive intelligence platform providing data analytics for retailers and brands, analyzing unstructured data.
DataWeave is a SaaS company based in Singapore that provides data analytics and competitive intelligence solutions to retailers and consumer brands. The platform aggregates and analyzes billions of unstructured data points from the public web to deliver actionable insights regarding pricing optimization, product availability, and broader market trends. To support its ongoing expansion, the firm has raised over $11 million in total venture capital funding from prominent investors such as Blume Ventures and others. The enterprise technology provider utilizes this financial backing to serve a diverse roster of major corporate customers, which includes recognizable industry names like Overstock, Metro, and Adidas. Chief Data Strategy Officer Sanket Patil helps direct the organization's technical operations alongside the broader executive leadership team to ensure accurate data delivery. DataWeave was founded in 2011 by Karthik Bettadapura and Vikranth Ramanolla.
Dataweave has raised $270K across 1 funding round.
Dataweave has raised $270K in total across 1 funding round.
Dataweave has raised $270K across 1 funding round. Most recently, it raised $270K Seed in April 2013.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2013 | $270K Seed | — | Blume Ventures, Abhishek Gupta, Bharath Thothadri, Krishna Mehra, Pankaj Jain, Rajan Anandan, Gaurav Kachru, Meta Studio Advisors, TLabs | Announced |
Dataweave has raised $270K in total across 1 funding round.
Dataweave's investors include Blume Ventures, Abhishek Gupta, Bharath Thothadri, Krishna Mehra, Pankaj Jain, Rajan Anandan, Gaurav Kachru, Meta Studio Advisors, TLabs.
DataWeave is an AI-driven digital commerce analytics company that provides competitive intelligence, digital-shelf analytics, pricing and assortment optimization to consumer brands and retailers worldwide to boost online sales and protect brand integrity[5][1].
High-Level Overview
DataWeave is a SaaS platform that delivers AI-powered commerce intelligence—covering digital shelf performance, pricing intelligence, assortment analytics, and brand-protection—to help retailers and consumer brands grow revenue and margins across online channels[5][1].As a product/company: it builds analytics and revenue-optimization products that serve consumer brands, omnichannel and digital retailers, and category managers by surfacing competitive pricing, availability, content quality, MAP/counterfeit monitoring, and assortment insights that reduce lost sales and improve margin and market share[1][3]. DataWeave’s solutions aim to solve fragmented, fast-moving e‑commerce signal problems (price/availability/content across many channels) so commercial teams can act at scale with AI-driven recommendations; user reviews and vendor materials highlight usability and impact on pricing and shelf KPIs[1][6][3].
Origin Story
DataWeave was founded in 2011 by Karthik Bettadapura and Vikranth Ramanolla to bring large-scale web data and analytics to retail and brand decision-making[3][4]. The founders combined product and data expertise—Bettadapura with product and digital media experience and senior technical leadership from co‑founders and early technical leads—to evolve from early retail-data experiments into an AI-driven commerce intelligence platform[3]. Early traction included enterprise customers across brands and retailers, steady product expansion (digital shelf, pricing, assortment, brand protection) and geographic growth from India outward to the US and global markets[3][4].
Core Differentiators
Role in the Broader Tech Landscape
DataWeave rides the broader trends of e‑commerce expansion, retail digitization, and AI/ML applied to large-scale web data for commerce intelligence; retailers and brands are increasingly dependent on near-real-time competitive signals to manage dynamic pricing, assortment and marketplace presence[5][1]. Timing favors solutions that translate messy web signals into operational actions because accelerated marketplace growth, proliferation of channels, and pressure on margins make manual monitoring untenable[5]. Market forces in their favor include rising merchant use of dynamic pricing, growth of marketplaces (third‑party sellers/counterfeits), and greater emphasis on digital shelf optimization and content to drive search and conversion[1][3]. By providing decision-ready insights, DataWeave influences vendor pricing strategies, category management practices, and brand‑protection workflows across the digital commerce ecosystem[1][5].
Quick Take & Future Outlook
DataWeave is well‑positioned as commerce organizations demand integrated, AI-powered intelligence across pricing, assortment and the digital shelf; continued investment in data‑quality, product matching, and prescriptive automation will determine how much of the market they can capture[5][1]. Trends that will shape their path include increased automation of pricing decisions, tighter integration between analytics and execution (e.g., pricing engines, OMS/ERP), greater regulatory/market scrutiny around marketplace counterfeit activity, and broader adoption of AI for assortment optimization[5][1]. If DataWeave continues to enterprise-scale its platform, deepen integrations into retailer workflows, and expand vertical coverage, it can broaden influence from analytics vendor to operational commerce platform—helping close the loop between insights and automated actions for brands and retailers[3][5].
If you want, I can (a) build a 1‑page investor-style pitch on DataWeave’s market opportunity and KPIs, or (b) create a competitor mapping (features, pricing, strengths) versus peers such as Engage3 and other pricing/analytics vendors.