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Helium is an AI CRO platform for D2C ecommerce brands. It improves product discovery, search, recommendations, merchandising, and onsite conversion using live shopper behavior, product data, and catalog intelligence.

Website, pricing, platforms and company facts side by side.
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| Website | codegres.org | gethelium.co |
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| Company | — | Startup from India · 10 - 19 employees · 2023 |
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In their own words, as submitted to SaaSHub.


No description of Codegres.org yet.
Helium is an ecommerce CRO platform for D2C brands that want to improve website conversion, product relevance, and revenue per visitor. Helps ecommerce teams use live shopper behavior, catalog data, traffic source, and product intent to create better onsite buying paths. It supports conversion...
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As answered by people managing Codegres.org and Helium AI.
Helium AI's answer:
Helium AI brings ecommerce personalization, AI merchandising, AI product recommendations, AI search, catalog optimization, and audience signals into one platform. It reads live shopper context, traffic source, product data, and site behavior to change what people see on the website and to help Meta and Google learn from cleaner signals. This helps D2C and ecommerce brands improve product finding, website conversion, ROAS, and catalog performance from the same system.
Helium AI's answer:
Choose Helium if you want one platform for Shopify personalization, ecommerce CRO, AI merchandising, product discovery, and paid media signal quality. Helium helps brands improve collection page performance, PDP-to-cart rate, AOV, revenue per session, and traffic quality without stacking multiple tools for search, recommendations, merchandising, and audience building. It is built for teams that want action on live shopper behavior, not just reports.
Helium AI's answer:
Helium is built for D2C and ecommerce brands, mainly on Shopify, that have active catalogs, paid traffic, and a clear need to improve conversion and product finding. The main users are founders, growth and performance teams, ecommerce managers, merchandising teams, CRM and retention teams, and product or CRO owners. It is a strong fit for fashion, beauty, skincare, electronics, accessories, and FMCG brands.
Helium AI's answer:
Helium AI was built after seeing ecommerce teams spend hard-earned money on traffic and then send every shopper into the same website experience, the same product order, and the same weak product push. Most brands had dashboards, point apps, and manual rules, but they did not have a system that could read live shopper context and act on it. Helium AI was built to fix that gap with real-time personalization, merchandising, product search, recommendations, and audience signals in one place.
Helium AI's answer:
Helium AI uses machine learning for ranking and scoring, real-time behavior processing, product and catalog intelligence, recommendation systems, natural language search, audience signal modeling, and large language models for conversational shopping and content workflows. These systems work together to help ecommerce brands improve personalization, product discovery, catalog quality, and paid media performance.
Helium AI's answer:
Share your experience with using Codegres.org and Helium AI. For example, how are they different and which one is better?