Coveo Buys Y Combinator-Backed Product Data Startup Anglera

Coveo announced on October 29, 2026 that it has acquired Anglera, a San Francisco-based, Y Combinator-backed company whose AI agents enrich product data for manufacturers, distributors, and enterprise retailers. The acquisition adds Anglera’s agentic enrichment platform to Coveo’s Commerce offering. Terms of the transaction were not disclosed.

The Companies and the Rationale

Anglera was founded by Amay Aggarwal and Ray Iyer, who built catalog AI systems for Uber Eats’ retail expansion before starting the company. The acquisition brings Anglera’s enterprise customer base, which includes multiple Fortune 500 companies, to Coveo. Coveo provides AI-powered search and discovery software that uses intent, context, and behavioral signals to deliver relevant products and recommendations to buyers.

The companies framed the deal around a shift in how buyers discover products. Buyers increasingly use AI assistants alongside ecommerce websites to research and compare products, but critical details such as dimensions, materials, and compatibility are often missing or inaccessible, so search engines and AI assistants can overlook relevant products. The announcement cites a NielsenIQ estimate that missing product attributes can reduce product discoverability by up to 30%.

In a blog post, Coveo described three changes behind the acquisition: queries have grown longer and more complex, search is evolving into what the company calls an Intent Box that compares products and answers questions, and a growing share of product research now starts in third-party assistants such as ChatGPT and Google Gemini. The post names Linde, Metcash, Coles, and Nespresso among the enterprises for which Coveo powers search and discovery.

“As customers ask search to do more, from answering questions to guiding decisions, product data becomes the next frontier of relevance,” Peter Curran, Coveo’s chief product officer, said in the post. In the announcement, Curran said Coveo evaluated Anglera against an internal build and a broad range of product enrichment technologies, and said Anglera grounds AI-generated product information in multiple authoritative sources rather than relying primarily on images or web scraping.

How the Enrichment Engine Works

Anglera’s engine extracts product details from manufacturer specifications, PDFs, images, and other sources, then standardizes and validates them against each customer’s catalog requirements while retaining source references. Coveo’s blog adds that every enriched value carries a citation and a confidence score, that uncertain values are routed to a person for review, that the customer’s own rules are applied to every SKU, and that enriched data is written back to the customer’s source system so that search, product pages, feeds, and AI agents all draw on the same record.

On its website, Anglera describes a workflow it labels intake, source, enrich, ship, and scale, drawing on supplier spreadsheets, spec sheets, product images, and manufacturer websites and syncing bidirectionally with PIM, ERP, and commerce platforms. The site states that the platform is SOC 2 Type II certified and compliant with GDPR and CCPA, and says most customers are in production in about two weeks and live in 30 days or less.

The announcement also reports test results it attributes to Anglera. In a 30-day A/B test at an apparel retailer, approximately 300 SKU variants received Anglera-enriched attributes; those pages saw a 120% increase in organic landing-page traffic and a 270% increase in AI-referred visits relative to a control group. A methodology note in the release cautions that results may vary.

“We started Anglera because so much valuable product knowledge sits in documents that no team can process by hand at scale,” Iyer said in the announcement. “We built an engine that reads those sources the way an expert would and ties every attribute back to where it came from.”

Customer Arrangements and Next Steps

Under the plans described in the announcement, existing Anglera customers will continue on the Anglera platform backed by Coveo’s scale and support, and Anglera’s enrichment capabilities will be offered to Coveo Commerce customers as an add-on. Deeper integration is planned to connect product enrichment directly to buyer behavior and discovery outcomes, and Coveo’s blog says customers can begin immediately, with enriched data flowing back to their source systems for Coveo to index.

The companies said they envision a continuous improvement cycle in which unsuccessful searches or frequently requested attributes could identify gaps in a catalog, prompting enrichment while Coveo measures the impact on discovery and conversion. Aggarwal said pairing Coveo’s insight into what buyers are searching for with enrichment can identify and fix product data that is costing customers sales.

Coveo CEO and co-founder Laurent Simoneau said that whether buyers shop on an ecommerce site, source components through a B2B portal, or ask an AI assistant for guidance, the products with the best data are easier to find and buy. The announcement says enriched product data supports Answer Engine Optimization and Generative Engine Optimization across onsite search, recommendations, and external AI assistants.

Coveo’s team, including Anglera’s founders, will appear at B2B eCommerce World Americas on November 2–3, 2026, in Indianapolis. Coveo will also host a webinar on the combined offering, titled “Better Product Data. Smarter Discovery: What Anglera and Coveo Make Possible Together,” on November 12, 2026, at 11 a.m. ET.