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CrowdANALYTIX
CrowdANALYTIX builds scalable AI solutions for enterprises globally
About CrowdANALYTIX
CrowdANALYTIX offers scalable artificial intelligence solutions tailored for enterprise clients, particularly in the retail, manufacturing, and distribution sectors. Founded in 2012 by Divyabh Mishra, Varsha Mishra, and Kishore Rajgopal, the company was established to address the scarcity of data science talent. Divyabh Mishra's background includes an MS in Computer Science and an MBA from INSEAD, with prior experience in marketing and strategy for tech organizations, where he became interested in the power of crowdsourcing. This experience directly influenced the company's initial business model.
The firm's core business operates on two main fronts. Originally, it developed a crowdsourcing platform that leverages a global community of over 25,000 data scientists to solve complex business problems through a competitive contest model. This approach allows the company to develop custom, high-precision AI solutions for clients by sourcing multiple AI methods and selecting the optimal one. The business generates revenue by providing these AI-driven solutions and services, which are integrated into a client's existing systems and delivered as a cloud service or AI-as-a-Service (AIaaS). Clients have included notable companies like Pfizer, AT&T, and Walmart.
Pivoting from its initial broad approach, the company identified a significant challenge in data quality and now heavily focuses on product data management. Its flagship product, dataX, is an AI-powered platform designed to automate the onboarding of product data for omnichannel retail catalogs. It streamlines the process by automatically extracting and structuring supplier data into a retailer's required format, significantly reducing the time and manual effort involved in cleaning and organizing product information. This allows retailers to get products to market faster and maintain accurate, consistent catalog data. The company has secured significant financial backing, raising a total of $45.3 million over several funding rounds, including a notable $40 million Series A in 2019 led by Macnica. Major investors include Accel, SAIF Partners (now Elevation Capital), and Macnica.
Source: Dealroom company dataAt a glance
- Status
- Operational
- Founded
- 2012
- Headquarters
- Plano, United States
- Employees
- 107
- Open positions
- None listed
- Dealroom signal
- 64.9/100
- Sector
- AI, Analytics, Retail, Predictive Analytics, Crowdsourcing, Point of Sale, In-Store Tech
- Technology
- Artificial Intelligence, Big Data, Deep Tech, Machine Learning, Nanotech, IoT InternetOfThings
- Business model
- SaaS
- Client focus
- b2b
Knowledge graph
More headlines
Funding history
Company financing events and reported valuations.
| Deal type | Date | Amount | Valuation | Investors | Source |
|---|---|---|---|---|---|
| EARLY VC✓Equity / VC | Jan 2019 | $40M | $160M | Macnica Ventures | — |
| SEED✓Equity / VC | Dec 2016 | $1M | $4M | Undisclosed | — |
Financials
Revenue, earnings and other financial measures where available. Years marked “E” are estimates.
Growth signals
Latest recorded traffic for CrowdANALYTIX is 1.5K monthly website visits, down 28.6% over the last three months. CrowdANALYTIX's team declined 5.3% over the past year.
Similar companies
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Investments and acquisitions
Recent portfolio relationships for companies that also act as investors or acquirers.
Investors
From Dealroom's funding and investor records, grouped by the round each investor first entered.
Series A1 investor entered at this stage
Macnica Ventures
Other known investors2 additional known investors
Accel
Elevation Capital
Source: Dealroom Talent Intelligence.
Global footprint
team presence
Market sentiment
An AI-synthesised read of the highest-engagement posts about CrowdANALYTIX on X, ranked by likes and reposts, corporate channels excluded.
Reading the room on X — pulling top posts and synthesizing themes…
Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour
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