We turn broken product data into a growth engine.
atronous is the constraint-aware intelligence layer for product data. We generate, validate, and activate verified, channel-ready data so brands, manufacturers, and retailers can sell faster, with confidence, across every channel and AI agent.
Why atronous exists.
atronous began with a simple observation: brands, manufacturers, and retailers were spending countless hours on repetitive, manual product data work that AI could automate. Our founders saw it firsthand at major retailers and technology companies, where talented teams spent much of their time on data entry instead of growth.
In 2020, we assembled a team of AI researchers, e-commerce experts, and engineers to solve it. After two years of development with early customers, atronous launched in 2023.
Today, atronous helps companies around the world automate their product data workflows, saving thousands of hours while improving data quality and speed to market.
To make product data a source of growth, not a bottleneck. atronous generates, validates, and activates verified product data so every team can move faster, with confidence.
A world where every product is represented by accurate, verifiable, decision-ready data, discoverable by both human shoppers and AI agents.
What we stand for.
Accuracy over coverage
We deliver a validated subset with clearly flagged exceptions, never a complete file with hidden errors.
Innovation and excellence
We build at the intersection of AI generation and deterministic logic to solve problems generic tools cannot.
Integrity and trust
We are transparent about what our data is, how it is validated, and where every value comes from.
Customer-centricity
Our customers’ outcomes guide what we build and how we prioritize.
Agility
We help teams move from weeks to hours, and we move quickly ourselves.
Continuous improvement
We refine our models and constraint logic with every delivery run.
Built by the teams that scaled retail platforms.
Our founders have built and scaled product, data, and AI platforms at Walmart, Robinhood, Uber, The RealReal, Netflix, Intuit, Salesforce, and DoorDash.
Jayashree Dutta
Niru Anisetti
Surajit Dutta
Great talent knows no boundaries.
We are building the future of product data with AI that saves time, reduces costs, and drives growth. No matter where you live or what your background is, we want a team as diverse and adaptable as the problems we solve.
Technical Account Manager
Own the full relationship for a portfolio of enterprise customers: run the weekly cadence, shape the roadmap, and spot where accounts are ready to grow.
View role → EngineeringStaff Applied Backend / ML Engineer
Lead the design and delivery of production-grade, AI-driven backend and ML systems, from whiteboard architecture to hardened production deployment.
View role →Do not see the right fit? We are always glad to hear from strong people. Reach out at contact@atronous.ai.
Frequently asked questions.
What is atronous?
atronous is an AI-powered product data intelligence platform. It extracts product data from any source, generates and validates the missing attributes against category-specific rules, and delivers verified, channel-ready data to PIMs, ERPs, and commerce platforms.
What does end-to-end product data management mean?
It means handling product data across its full lifecycle: ingestion from any source, generation of missing attributes, validation against marketplace and category rules, and activation into your downstream systems.
How does atronous generate product attributes?
AI generates attribute values from your source material, such as specifications, images, descriptions, and part numbers. Deterministic, script-driven logic then validates every value against the rules for that product category before delivery.
Can atronous create attributes from images?
Yes. atronous uses computer vision to read product images, line drawings, and CAD files, then derives attributes and validates them against category rules.
Which marketplaces does atronous support?
atronous delivers channel-ready data for major marketplaces and commerce platforms, including Amazon, Walmart, Wayfair, and Shopify, and connects to PIMs, ERPs, and data warehouses through APIs and webhooks.
Can atronous integrate with our existing PIM, DAM, or CRM systems?
Yes. atronous delivers verified data to PIMs, ERPs, commerce platforms, and data warehouses through RESTful APIs and webhook integrations.
What are the key AI models used by atronous?
atronous pairs retail-trained vision and language models, including LLaVa, SAM, YOLO, and NLP models, with a separate deterministic validation layer that checks every record.
How does atronous ensure marketplace compliance?
Every record is validated against category-specific rules, GS1 standards, and retailer-specific taxonomies before delivery, with full traceability from source to output.
How accurate is attribute generation?
atronous reaches 98.3% accuracy on product data pages and validates identifiers to a 100% UPC and EAN check-digit pass rate. It delivers a validated subset with flagged exceptions rather than a complete file with hidden errors.
Does atronous support small businesses?
atronous works with catalogs of every size. Larger, multi-category catalogs tend to see the biggest gains, but smaller teams benefit from the same automation.
Does atronous improve product images?
atronous analyzes and scores product images, flags quality issues, and uses images to generate and validate attributes.
What are the pricing options?
Pricing is tailored to your catalog size and scope. Schedule a demo and we will put together a plan for your needs.
Is my data secure with atronous?
atronous encrypts data in transit and at rest, uses role-based access controls, and maintains audit logging.
What does onboarding include?
Onboarding connects your data sources, configures the category rules for your catalog, and runs an initial validated delivery so you can review results before scaling.
Future-proof your product data.
Start with a conversation about your product data.