AI-powered AdTech trusted by AdAge 100 brands
A programmatic advertising SaaS trusted by AdAge 100 brands like Microsoft, Audible, and Verizon leverages our engineering solutions to modernize its technology platform and products. The solutions introduced by AgileEngine bring enhanced performance and GenAI functionality to business-critical directions like campaign audit, analytics, and optimization.
Industries
AdTech, Advertising, Marketing, B2B, SaaS
Services
AI engineering, Data engineering, Full-stack development, UI development, Backend development
Solutions
AI, Data pipeline, B2B application, UI architecture, Product architecture, API, System optimization
Technologies
Python, AWS, Amazon Sagemaker, Pytorch, Golang, TypeScript, PHP, Symfony, Laravel, Node.js, Express.js, React.js, Angular.js, Vue.js, Java, Spring, CloudFormation, Docker, MySQL, PostgreSQL, Kafka, RabbitMQ, Elasticsearch, Helm, Chrome Headless, MongoDB, Grafana, Prometheus, Kubernetes
Outcomes
and highlights
- Time-to-spend for incoming creatives sped up from 2 days to 1 hour
- State-of-the-art algorithms unavailable on the AWS platform
Solutions overview
Transforming AdTech with microservices, AI, and more
The ad audit application built by AgileEngine sped up the client’s time-to-spend for incoming creatives from days to approximately one hour. Our engineers also rearchitected the company’s core system and API, enabling it to handle traffic spikes at the scale of premium publishers like CNN, BBC, and Buzzfeed. Building on this foundation, our AI Studio introduced multiple solutions based on leading-edge GenAI and ML technologies like RAG, LMMs, computer vision, and more.
Key deliverables
- Advertisement audit system implemented from scratch, reducing the time-to-spend for incoming creatives
- GenAI and ML solutions for ad optimization, categorization, metadata generation, and more
- Ad audit app UI and other web applications built from scratch with a focus on extensibility and scalability
- Main API decentralization into microservices replacing a monolithic legacy architecture and enabling more effective management of traffic spikes
- Features for backend microservices written in PHP, Node.js, and Java
- Flagship web app migration from Angular.js to React.js
- Company-wide standard for technical specifications reducing scope creep
- Driving the client’s product from a prototype to a stable release
Boosting ad campaign impact with LLMs, LMMs, computer vision, and more
The AI/ML systems delivered by AgileEngine utilize object detection models and image clustering algorithms, bringing computer vision to ad analytics and optimization. Our experts took ownership of model design, training, and optimization while also handling the infrastructure needed to run AI/ML tools.
Key deliverables
- Computer vision models detecting overlaid graphics and text, clustering images belonging to the same scene, and searching for specific objects in videos
- RAG (Retrieval Augmented Generation) service leveraging LMMs (Large Multimodal Models) and embeddings to categorize web ads based on the IAB Ad Product Taxonomy
- Proof-of-concept pipelines for connected TV content analysis complete with recognition of emotion from speech, audio tagging, and facial analysis
- In-house AI/ML models training, optimization, and deployment with R&D experiments involving state-of-the-art models leveraging the AWS infrastructure
- In-house dataset manager and evaluation pipelines supported by MySQL and Github Actions, expediting AI solutions development
- PoC of a markers system storing diverse data extracted from video content, enabling flexible querying and search, both programmatically and through a user interface
- Data cleaning and labeling — including the dedicated processing of Spanish language content yielding focused datasets used in the markers system
- Collaboration with the client’s product team on planning and the architecture/design of machine learning solutions
- Design and analysis of metrics for the evaluation of product features and their impact
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