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SmartAssets Tech Stack

AI platform for predicting and optimizing ad creative performance

Technology, Information and Media London 11–50 employees Founded 2023 Public Company

SmartAssets applies computer vision and machine learning to tag ad creative at the component level, then predict campaign performance before spend. The tech stack—Python, TensorFlow, PyTorch, FastAPI on GCP—reflects a production ML pipeline oriented toward inference at scale. Hiring is concentrated in engineering (5 roles) over sales (2), and pain points center on AI model scalability and sprint delivery efficiency, suggesting the company is still maturing its operational processes as it scales the core ML product.

Tech Stack 17 technologies

Core StackJira Confluence Miro HubSpot Docker Python TensorFlow PyTorch scikit-learn React TypeScript Java FastAPI LinkedIn Sales Navigator Salesforce Marketing Cloud Git GCP

What SmartAssets Is Building

Challenges

  • Reducing sprint bottlenecks
  • Improving operational processes
  • Enhancing project delivery efficiency
  • Enhancing process consistency
  • Scalability of ai solutions
  • Building top-of-funnel opportunities with large advertisers
  • Speed compliance auditability

Active Projects

  • Ad-hoc study analysis for marketing effectiveness
  • Process refinement initiative
  • Project delivery streamlining
  • Sprint coordination improvement
  • Develop long-term sales strategies aligned with company goals
  • Conduct market research to identify trends and opportunities
  • Build strong partnerships with key accounts globally
  • Ai model development for workflow enhancement
  • Advanced ai model deployment
  • Pipeline development for enterprise sales

Hiring Activity

Decelerating7 roles · 1 in 30d

Department

Engineering
5
Sales
2

Seniority

Junior
2
Lead
2
Senior
2
Manager
1
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About SmartAssets

SmartAssets is a London-based creative effectiveness platform that helps brands optimize ad content using AI-driven insights. The product combines computer vision categorization of creative assets with predictive modeling to forecast campaign performance, then generates adapted creatives tailored for specific audiences and platforms. The company operates in the adtech and creative analytics space, selling to mid-market and enterprise advertisers. Across 11–50 employees, the team is split between engineering and sales, with active projects spanning AI model development, enterprise pipeline building, and internal process refinement.

HeadquartersLondon
Company Size11–50 employees
Founded2023
Hiring MarketsSpain, United Kingdom

Frequently Asked Questions

What tech stack does SmartAssets use?

Python, TensorFlow, PyTorch, scikit-learn for ML; FastAPI for backend services; React and TypeScript for frontend; Docker for containerization; GCP for cloud infrastructure; Jira and Confluence for internal tools; Salesforce Marketing Cloud and HubSpot for GTM.

What is SmartAssets working on?

Core projects include AI model development and deployment for workflow enhancement, market research to identify large-advertiser opportunities, enterprise sales pipeline building, and internal initiatives around sprint efficiency and process consistency.

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