The AI analytics platform that reads the internet's price tags - turning billions of public e-commerce data points into pricing, shelf, and brand-protection decisions for the world's largest retailers.
Every day, the price of the same product changes dozens of times across dozens of websites. A rival drops a TV by 8%. A marketplace seller lists a counterfeit. A hero product quietly goes out of stock on page one of search. For most brands and retailers, all of this is invisible. DataWeave's entire business is making it visible.
Founded in Bangalore in 2011 by Karthik Bettadapura and Vikranth Ramanolla, DataWeave built a platform that aggregates and analyzes publicly available e-commerce data at massive scale. It answers a deceptively simple question - what is happening on the digital shelf right now? - and turns the answer into pricing moves, content fixes, assortment decisions, and counterfeit takedowns.
The company describes its work as "Competitive Intelligence as a Service." In practice, that means the unglamorous engineering of collecting web data, then the harder problem of product matching: knowing with confidence that a listing on one site is the same SKU as a listing on another. Get that wrong and every downstream number is noise. DataWeave has spent more than a decade getting it right.
Its data now shows up far beyond its clients' dashboards. When CNBC needs a number on Nike's price increases, or Reuters wants to explain how tariffs ripple into Amazon prices, DataWeave's tracking is frequently the source cited.
One platform, several lenses. Brands lean on the shelf and protection tools; retailers lean on pricing and assortment.
AI-driven competitor price monitoring, price modeling and dynamic recommendations to protect margin and grow revenue across channels and geographies.
Measures content compliance, availability, share of search, promotions and ratings/reviews - the KPIs that decide whether shoppers find and buy your product.
Benchmarking and gap analysis to build winning assortments and spot white-space opportunities against the competition.
Machine-learning detection of counterfeits, MAP violations, unauthorized sellers and misused content across online marketplaces.
Audits and optimizes product listing content for compliance and conversion, so the digital shelf reflects the brand accurately.
Scalable web aggregation, ML product matching and sentiment analysis - the pipes that make every other module possible.
"DataWeave provides Competitive Intelligence as a Service to consumer brands and e-commerce businesses."
Reported outcomes from DataWeave case studies. Figures are client-specific and not guarantees.
The pitch is not abstract. In one engagement, DataWeave found roughly 15% of a client's catalog priced below competitors by up to 20%. Correcting those gaps added about three points of gross margin - real money at retail scale.
Insight Enterprises reported revenue lifts of up to 46% on the Pricing Intelligence platform. A TV category grew more than 25% over the previous season after acting on assortment recommendations. Douglas Germany added 2% online revenue in six months using the AI assortment tool.
Small percentages, enormous bases. That is the quiet logic of digital-shelf analytics: optimize the boring stuff, and it compounds.
More than 400 global brands and retailers rely on DataWeave. A sample of named names:
The competitive-intelligence space is crowded - Profitero, Edge by Ascential, CommerceIQ, Wiser Solutions, Intelligence Node and Similarweb all circle the same buyers. DataWeave's differentiation is less about a single flashy feature and more about the foundation.
Accuracy at scale. The company's oldest, hardest technical asset is product matching across sites and formats. Clean matches make pricing gaps trustworthy; bad matches make every dashboard suspect.
One platform, four jobs. Pricing, digital shelf, assortment and brand protection sit together, so a retailer and a brand can both find their lens without stitching vendors.
Credibility by citation. When national newsrooms use your numbers to explain the economy, buyers notice. That third-party validation is hard for competitors to manufacture.
A technology leader with 15+ years building large-scale web and data analytics platforms. Before DataWeave, he helped build CNBC's online property Web18. Today he drives product vision and business strategy, and is a Forbes Technology Council member.
Brings 14+ years building big-data platforms and large-scale systems for aggregating and analyzing unstructured data - the technical backbone behind DataWeave's collection and matching engine.
Karthik Bettadapura and Vikranth Ramanolla start building data products from public web data.
Blume Ventures and TLabs support the core aggregation and matching platform.
The platform expands beyond pricing into content, availability and share of search.
Backed by investors including FreakOut Holdings and Times Internet / Brand Capital.
Machine learning targets counterfeits, MAP violations and unauthorized sellers.
The apparel and footwear retailer adopts the pricing platform.
Edward Salas joins as SVP of Retail Strategy; AI counterfeit work featured by Analytics India Magazine.
CNBC, Reuters and others repeatedly use DataWeave data to explain retail price moves.
See the platform and hear from the team on DataWeave's YouTube channel.
► DataWeave on YouTube ► The AI Edge at DataWeaveDataWeave is an AI-powered digital commerce analytics platform that gives brands and retailers pricing intelligence, digital shelf analytics, assortment insights and brand protection built from public e-commerce data.
It was founded in 2011 in Bangalore by Karthik Bettadapura (CEO) and Vikranth Ramanolla (CTO).
More than 400 global brands and retailers, including Zappos, Costco, Home Depot, QVC, Whirlpool and Meijer.
It combines pricing, digital shelf, assortment and brand protection in one platform, emphasizes accurate large-scale product matching, and its data is widely cited by major news outlets.
DataWeave is headquartered in Bellevue, Washington, with its R&D and engineering base in Bengaluru, India.