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Rezolve Ai Tech Stack

Generative AI platform for conversational commerce in retail and ecommerce

Technology, Information and Internet London, England 51–200 employees Founded 2016 Public Company

Rezolve Ai builds conversational AI products (braincommerce, braincheckout, brainassistant) powered by a proprietary LLM designed to resist model drift and hallucinations. The tech stack reveals a retail-focused SaaS: Shopify + VTEX for commerce rails, Azure AI Foundry + Databricks for model training, and a full CDP/marketing stack (HubSpot, Salesforce, Marketo). Currently adopting Azure AI Foundry and NetSuite while moving away from SAP ECC—a shift toward cloud-native commerce infrastructure. Hiring is engineering-heavy (11 roles) and accelerating, with active projects around legal AI training, ETL pipelines for banking, and partner enablement, signaling a pivot toward B2B financial services beyond pure ecommerce.

Tech Stack 200 technologies

Core StackHubSpot Marketo Google Analytics Looker Power BI Shopify React Angular Java Spring JavaScript Python Salesforce Gong ZoomInfo Databricks PySpark Scala Delta Lake Azure Data Factory Salesforce Marketing Cloud Azure AI Foundry VTEX PayPal NoSQL CRM ChurnZero LinkedIn Sales Navigator Azure Azure Synapse Analytics+170 more
AdoptingNetSuite Azure AI Foundry
ReplacingSAP ECC

What Rezolve Ai Is Building

Challenges

  • Expanding partner ecosystem
  • Scalable auditable configurations
  • Evaluating llm performance on finance tasks
  • Master data changes
  • Aligning product direction with market opportunity
  • Tight alignment between product capabilities and market needs
  • Ai models lack marketing context
  • Driving co-sell revenue
  • Accelerating llm adoption
  • Driving partner-sourced revenue

Active Projects

  • Major feature releases
  • Core configuration implementation
  • Legal ai model training
  • Etl pipelines from core banking and external sources
  • Operationalizing models and rules with innovation teams
  • Partner onboarding and enablement
  • Data quality monitoring and alerting
  • Joint gtm initiatives
  • M&a deal analysis workflow
  • Brownfield conversion to s/4hana

Hiring Activity

Accelerating30 roles · 30 in 30d

Department

Engineering
11
Marketing
4
Legal
3
Ops
3
Data
2
Finance
2
Partnerships
2
Product
2

Seniority

Senior
18
Mid
8
Director
3
Junior
1
Lead
1
VP
1
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About Rezolve Ai

Rezolve Ai is a London-based public company founded in 2016 that provides conversational AI solutions for retail and ecommerce businesses. The platform centers on three product modules: braincommerce (customer discovery and engagement), braincheckout (transaction optimization), and brainassistant (customer support). The underlying technology is a proprietary LLM engineered to avoid hallucinations and model drift, allowing retailers and merchants to deploy personalized, secure conversational experiences. The company operates across the US, Canada, UK, Singapore, and Norway, with current focus on expanding its partner ecosystem and scaling co-sell revenue through joint GTM initiatives.

HeadquartersLondon, England
Company Size51–200 employees
Founded2016
Hiring MarketsUnited States, Canada, United Kingdom, Singapore, Norway

Frequently Asked Questions

What is Rezolve Ai's tech stack?

Rezolve Ai uses Shopify and VTEX for commerce, Azure AI Foundry and Databricks for model training, React and Angular for frontend, Java and Spring for backend, and HubSpot, Salesforce, and Marketo for marketing and CRM. The company is actively adopting Azure AI Foundry and NetSuite while phasing out SAP ECC.

What is Rezolve Ai working on?

Active projects include legal AI model training, ETL pipelines from banking sources, partner onboarding and enablement, data quality monitoring, joint GTM initiatives, M&A deal analysis workflows, and migration to SAP S/4HANA, indicating expansion into financial services and B2B verticals.

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How this profile is built

Rezolve Ai's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.