DataWeave has spent more than a decade selling retailers something almost embarrassingly simple: daily proof of what a rival is charging for the same product. Yet in the fiscal year ended March 2024, the Bengaluru company’s revenue fell 26.97% year-on-year even as its public client roster reads like a directory of America’s biggest retailers, among them Costco, Home Depot, Meijer and HEB, as per Tracxn’s summary of RoC filings for Infoweave Analytics Private Limited, DataWeave’s operating entity, accessed in September 2026.
There is a second contradiction sitting quietly in the public record. The company most people call “DataWeave” is not, strictly, the company that filed as DataWeave. The original DataWeave Software Private Limited, incorporated on 1 April 2011, now carries the status “strike off” at the Registrar of Companies, with its last annual general meeting held on 30 September 2023, as per company records on Tofler, ZaubaCorp and Falcon Ebiz (accessed September 2026). The retailers writing the cheques actually deal with Infoweave Analytics Private Limited, a Bengaluru entity incorporated on 9 March 2016 and classified in RoC records as a subsidiary of a foreign company, which was still filed as active as of 21 September 2026. Everything that follows uses the numbers of that surviving, operating entity, and flags clearly wherever the two get confused in public listings.
Quick facts
| Company | DataWeave (operating entity: Infoweave Analytics Private Limited; original filing entity DataWeave Software Private Limited is struck off) |
| Founded | 1 April 2011, Bengaluru (original entity); operating entity incorporated 9 March 2016 |
| Founder(s) | Karthik Bettadapura (CEO) and Vikranth Ramanolla (CTO), both formerly of Web18 |
| Businesses | Pricing intelligence, digital shelf analytics, assortment analytics and content analytics for retailers, brands and marketplaces |
| Latest FY revenue | ₹50-75 crore band for FY24 (year ended March 2024), down 26.97% year-on-year |
| Latest FY profit/loss | Net profit changed +11.53% year-on-year in FY24; absolute rupee figure not publicly disclosed |
| Listed | Private; not listed on any stock exchange |
| Market value / last valuation | Not publicly disclosed with adequate corroboration |
| Key shareholders / CEO | Karthik Bettadapura (co-founder, CEO); disclosed backers include Blume Ventures, Times Internet, FreakOut Holdings (Japan) and Recruit Holdings (Japan) |
What they do
DataWeave sells competitive intelligence as a subscription service to large retailers, consumer brands and marketplaces, turning the prices and product listings visible on public websites into dashboards and data feeds that a merchandising or pricing team can act on the same day.
- Pricing intelligence: tracks and benchmarks a client’s prices against competitors across product types, locations, devices and languages (dataweave.com, September 2026).
- Digital shelf analytics: monitors how a brand’s products actually appear on retailer websites, including availability, ratings and search placement.
- Assortment and catalog analytics: compares product ranges across retailers to flag gaps and overlaps.
- Content analytics: audits product listing content (images, descriptions, specifications) for completeness and accuracy.
- Publicly named clients include Costco, Home Depot, Meijer, HEB, QVC, Zappos, Northern Tool, Blain’s Farm & Fleet, Delivery Hero and TATA 1mg (client logos and case studies, dataweave.com/in/pricing-intelligence, accessed September 2026, company-stated).
The origin
Karthik Bettadapura and Vikranth Ramanolla founded DataWeave in Bengaluru after working together at Web18, the digital arm that built CNBC-TV18’s online property. Bettadapura had spent years on large-scale web and data products there, and Ramanolla was part of the core engineering team building big-data platforms at the same company, according to DataWeave’s own about-us page (dataweave.com, accessed September 2026). The founding insight was straightforward but, at the time, technically hard: the internet already published almost everything a retailer needed to know about its competitors’ prices, assortments and promotions, in public view, updated constantly. Nobody had built the industrial-scale plumbing to collect that firehose of unstructured web data, match millions of listings to the same underlying product, and turn it into something a category manager could trust and act on daily. DataWeave Software Private Limited was incorporated for this purpose on 1 April 2011, per its Registrar of Companies filing (CIN U72400KA2011PTC057952, ZaubaCorp and Tofler, accessed September 2026), registered out of Jayanagar in Bengaluru.
The struggle years
The company’s early capital was thin by enterprise-SaaS standards. Its first outside money was a pre-Series A of just $300,000, raised in 2013 from Blume Ventures, 5Ideas.in, Rajan Anandan and Times Internet Group, according to Inc42’s reporting from April 2017. For a business trying to sell into Costco- and Home Depot-scale retail accounts, that is a bootstrap-sized war chest, and it shows in how long DataWeave took to close its next disclosed round: a Series A that was not announced until 6 April 2017, four years later, led by Japan’s FreakOut Group and joined by Silicon Valley investor Herb Madan, per matching reports from Inc42 and PR Newswire on the same date. The amount was undisclosed in both releases, an unusual level of quiet for a company by then six years old.
The second, less visible struggle sits in the corporate registry rather than the bank account. Somewhere along the way, the company’s operations moved into a separate legal entity, Infoweave Analytics Private Limited, incorporated on 9 March 2016 and classified as a subsidiary of a foreign company, per Tofler’s company record (accessed September 2026). The original DataWeave Software Private Limited kept filing on its own for a while, its last annual general meeting recorded for 30 September 2023 and its last balance sheet for the year ended 31 March 2023, before it was struck off the register, as shown in Falcon Ebiz’s and ZaubaCorp’s public company-status listings (accessed September 2026). Whatever the internal reasoning, an unsoftened fact remains: the entity that carries DataWeave’s own name and founding date has been formally struck off by the Registrar of Companies, while the business itself carries on under a different corporate shell.
The turning point
The clearest inflection point on the public record is dated 14 January 2020, when DataWeave announced it had grown revenue by more than 660% over the preceding three fiscal years and had been named to Deloitte’s Technology Fast 500 list for 2019, per its own press release distributed on PR Newswire. That is a company-stated figure, unaudited in the release itself, but it marks the moment DataWeave stopped being a small, thinly-funded Bengaluru startup nursing a $300,000 cheque from 2013 and started describing itself, credibly enough to make an independently-judged fastest-growing-technology-companies list, as a hypergrowth business. On one side of that turning point sits a company that had raised a single undisclosed Series A three years earlier; on the other sits a company confident enough to publish a three-year, 660%-plus growth number for outside scrutiny. The subsequent four fiscal years tell a more uneven story, ending in the FY24 revenue contraction of 26.97% noted above, which is precisely why the 2019-2020 peak matters as a marker of what the business proved it could do before conditions turned.
The money behind it
- 2013, pre-Series A: $300,000 from Blume Ventures, 5Ideas.in, Rajan Anandan and Times Internet Group (Inc42, April 2017, reporting on the company’s funding history).
- 6 April 2017, Series A, amount undisclosed: led by FreakOut Group (Japan), joined by Silicon Valley investor Herb Madan and unnamed institutional investors from the US, India and Singapore; existing backer Blume Ventures also referenced as continuing (Inc42 and PR Newswire, both 6 April 2017).
- 11 September 2018, strategic investment, amount undisclosed: Japan’s Recruit Holdings invested in DataWeave, as listed in the company’s own press-room record (dataweave.com/us/press-room, accessed September 2026).
- Total raised: not publicly confirmed by any single reliable disclosure; aggregator estimates of total funding vary too widely across sources to be reported here without corroboration, so the figure is cut rather than guessed.
- Latest valuation: no valuation figure could be confirmed by two independent sources as of September 2026, so none is stated. A single, dated 2016 estimate exists on one aggregator site but is not corroborated elsewhere and is excluded on that basis.
- No funding round has been publicly announced since the 2018 Recruit investment, based on the available press coverage and company disclosures searched for this piece.
How it makes money
- Revenue model: subscription contracts sold directly to retailers, brands and marketplaces for access to competitive-intelligence dashboards and data feeds; DataWeave’s own listing on the data marketplace Datarade states that pricing is not publicly published and is quoted per client (Datarade.ai, accessed September 2026).
- What clients pay for: continuously refreshed pricing, assortment, content and digital-shelf data benchmarked against named competitors, delivered through dashboards and APIs rather than one-off reports.
- Where the cost sits: the expensive part of the business is not collecting web data, which is comparatively cheap to do at small scale; it is matching millions of listings for the same physical product across retailer catalogs that describe it with different titles, images and pack sizes. DataWeave’s own product pages claim “99%+ matching accuracy” for this catalog-matching layer (dataweave.com/in/pricing-intelligence, accessed September 2026, company-stated).
- The part people get wrong: the outside view treats this as a price-scraping tool, essentially a bot that visits websites. The defensible part of the business is the matching and normalization engine that turns scraped noise into a single, trustworthy price-per-product feed a merchandising team will actually use to reprice, which is a data-science and engineering problem, not a scraping one.
The numbers
| Fiscal year (unit: ₹ crore) | Revenue | Profit/loss movement |
|---|---|---|
| FY22 (year ended March 2022) | ₹72.3 crore ($7.5 million at $1≈₹96.0 as of 18 September 2026, Trading Economics), reported to have grown at a 65% one-year rate | Absolute figure not disclosed |
| FY23 (year ended March 2023) | Grew approximately 5.45% year-on-year (absolute figure not disclosed) | Profit fell approximately 66.78% year-on-year (absolute figure not disclosed) |
| FY24 (year ended March 2024) | ₹50-75 crore band, down 26.97% year-on-year | Net profit changed +11.53% year-on-year (absolute figure and sign of underlying profit/loss not disclosed) |
All three years are for Infoweave Analytics Private Limited, DataWeave’s operating entity (CIN U72200KA2016FTC086808), as aggregated from RoC filings by TheCompanyCheck and Tracxn (both accessed September 2026). Both sources publish these figures as bands and year-on-year percentage movements rather than exact rupee totals for a company of this size, which is why some cells above carry a movement rather than an absolute number; no absolute figure has been invented to fill the gap.
Where the money comes from
- Geography, by named clients: the large majority of publicly disclosed clients are US big-box and grocery retailers, including Costco, Home Depot, Meijer, HEB, QVC, Zappos, Northern Tool and Blain’s Farm & Fleet (dataweave.com/in/pricing-intelligence, accessed September 2026, company-stated).
- Some international diversification: named clients also include Germany-headquartered delivery marketplace Delivery Hero and India’s TATA 1mg, an online pharmacy (same source).
- Product-line split: pricing intelligence, digital shelf analytics, assortment analytics and content analytics are marketed as distinct product lines rather than a single tool (dataweave.com/in/about-us, accessed September 2026).
- The surprise: a company built and engineered out of Bengaluru, and legally structured today as a subsidiary of a foreign parent under Indian company law, earns its visible revenue overwhelmingly from US retailers rather than from the Indian market where its own engineering and headcount are based.
The risks
- Customer concentration in US retail: because almost every publicly named client is a large US retailer, a slowdown in US retail technology and analytics spending shows up directly in DataWeave’s topline; the FY24 revenue decline of 26.97% year-on-year is consistent with that exposure (Tracxn, RoC filings for year ended March 2024).
- Multi-entity corporate structure: the founding entity, DataWeave Software Private Limited, has been struck off by the Registrar of Companies after its last filed annual return in September 2023, while the operating business continues through the separately incorporated Infoweave Analytics Private Limited; any counterparty, acquirer or lender has to work through that split history rather than a single clean corporate record (Tofler, ZaubaCorp, Falcon Ebiz, accessed September 2026).
- Dependence on third-party web data: the core product requires continuously collecting pricing and catalog data from retailer and marketplace websites the company does not own or control; DataWeave’s own claim of “99%+ matching accuracy” is a proxy for how hard and continuous that collection and matching effort has to be, and any tightening of access by the sites it monitors is a direct input risk to the product itself (dataweave.com, accessed September 2026).
The takeaway
DataWeave’s fifteen years are a case study in how little glamour the durable part of a data business usually has. The company did not win by scraping websites faster than anyone else; scraping is the easy, commodity layer that any competent engineering team can replicate. It won, to the extent the public numbers show a Deloitte Fast 500 company by 2019, by doing the unglamorous matching work of proving that a red sneaker on one retailer’s site and a slightly differently photographed red sneaker on another’s are the same product, at a claimed 99%-plus accuracy, again and again, at a scale that made the resulting price feed something a merchandising team could trust enough to act on. The lesson that travels beyond this one company is that in categories which sound simple from the outside, the defensible business is rarely the visible activity everyone assumes is the product; it is the invisible accuracy layer underneath it, built slowly, on capital too thin to allow for shortcuts.
Frequently asked questions
What does DataWeave do?
DataWeave sells competitive-intelligence software to retailers, consumer brands and marketplaces, covering pricing intelligence, digital shelf analytics, assortment analytics and product-content analytics, built on data collected from public retailer and marketplace websites (dataweave.com, accessed September 2026).
Who founded DataWeave and when?
Karthik Bettadapura and Vikranth Ramanolla founded the business in Bengaluru; the original filing entity, DataWeave Software Private Limited, was incorporated on 1 April 2011, per its Registrar of Companies record (ZaubaCorp, Tofler, accessed September 2026).
How much funding has DataWeave raised?
Disclosed rounds include a $300,000 pre-Series A in 2013 from Blume Ventures, 5Ideas.in, Rajan Anandan and Times Internet Group; an undisclosed-amount Series A led by Japan’s FreakOut Group in April 2017; and a strategic investment from Japan’s Recruit Holdings in September 2018. No total funding figure or valuation could be confirmed with adequate corroboration as of September 2026.
Is DataWeave a listed company?
No. DataWeave is privately held. Its operating entity, Infoweave Analytics Private Limited, is filed as active with the Registrar of Companies as of September 2026, while the original DataWeave Software Private Limited has been struck off (Tofler, ZaubaCorp, accessed September 2026).
What was DataWeave’s revenue in FY24?
Infoweave Analytics Private Limited’s revenue for the year ended March 2024 fell in a ₹50-75 crore band, down 26.97% year-on-year, according to Tracxn’s summary of its RoC filings (accessed September 2026).
Sources
Figures are as of September 2026. Currency converted at $1 ≈ ₹96.0 as of 18 September 2026 (Trading Economics).
- DataWeave, “About Us” (dataweave.com/in/about-us), accessed September 2026
- DataWeave, “Press & Media” (dataweave.com/us/press-room), accessed September 2026
- DataWeave, “Pricing Intelligence” (dataweave.com/in/pricing-intelligence), accessed September 2026
- Inc42, “DataWeave Secures Funding From Japan Based FreakOut Group; Plans Expansion In North America,” April 2017
- PR Newswire, “DataWeave Secures Undisclosed Series-A Round of Funding to Power Global Growth,” 6 April 2017
- PR Newswire, “DataWeave Announces 660%+ Revenue Growth in Three Years, Features on the Deloitte Technology Fast 500 2019,” 14 January 2020
- ZaubaCorp, “DataWeave Software Private Limited” company record (CIN U72400KA2011PTC057952), accessed September 2026
- Falcon Ebiz, “DataWeave Software Private Limited” company-status listing, accessed September 2026
- Tofler, “DataWeave Software Private Limited” financial and filing summary, accessed September 2026
- Tofler, “Infoweave Analytics Private Limited” company and filing record (CIN U72200KA2016FTC086808), accessed September 2026
- Tracxn, “Infoweave Analytics Private Limited” legal-entity financial summary, accessed September 2026
- TheCompanyCheck, “Infoweave Analytics Private Limited” financial summary, accessed September 2026
- Datarade, DataWeave data-vendor listing (datarade.ai), accessed September 2026
- TheOrg, DataWeave company and organization-chart page, accessed September 2026
- Forbes Technology Council, Karthik Bettadapura member profile, accessed September 2026
- Trading Economics, USD/INR exchange rate, 18 September 2026
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