Ad tech platform with demand-side buying, identity solutions, and real-time bidding
Adform operates a full-stack media buying platform serving brands, agencies, and publishers globally. The tech stack reveals an AI-forward engineering org: Python + FastAPI + Langchain + LlamaIndex deployed alongside classical big-data infrastructure (Spark, Hadoop, pgvector), with active RAG adoption signaling a pivot toward LLM-driven features. Concurrent work on observability (ELK, Prometheus, Grafana, Loki), fraud detection, and audience segmentation across billions of transactions suggests engineering is managing scale and data quality as growth accelerators.
Notable leadership hires: Team Lead, Account Director
Adform is a Danish media buying platform founded in 2002 that handles ad buying, selling, and planning for global digital advertisers. The platform operates demand-side, real-time bidding, and identity infrastructure, with specialization in ad serving, targeting, tracking, dynamic creative optimization, and attribution modeling. Engineering is scaling observability and logging (ELK stack), building RAG pipelines for AI model training, and developing fraud detection and audience segmentation to handle transaction volume at scale. The company has distributed hiring footprint across India, Lithuania, Poland, Denmark, Romania, Norway, Australia, Singapore, and Spain, with engineering and sales as primary growth vectors.
Core languages: Python and Go. Infrastructure: Docker, Kubernetes, Terraform. Data: PostgreSQL, pgvector, Spark, Hadoop. Observability: Prometheus, Grafana, Mimir, ELK stack. MLOps: Langchain, LlamaIndex, FastAPI. Integrations: Salesforce, ServiceNow, Zendesk.
Active projects include RAG pipelines for AI, fraud detection and ad optimization with ML, audience segmentation across billions of transactions, big-data platform development, and redesigning observability and logging infrastructure.
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