Advertising Tech software development company

We build programmatic advertising infrastructure including Demand-Side Platforms (DSPs) that buy ad inventory in real-time, Supply-Side Platforms (SSPs) that help publishers monetize inventory, real-time bidding engines that process bid requests in under 100ms, audience segmentation pipelines that classify users by behavior and intent, and creative management systems for dynamic ad serving. We also build digital out-of-home (DOOH) ad booking platforms for physical advertising inventory like billboards and transit displays. Our AdTech systems are built on high-throughput architectures using Kafka for event streaming, Redis for low-latency lookups, and horizontally scalable microservices that handle traffic spikes without degradation.

Real-time bidding requires sub-100ms response times under high concurrency — infrastructure that most web frameworks are not designed for. We build RTB engines using Go or Rust for the bid evaluation layer (not Node.js, which is too slow for this use case), with Redis Cluster for user profile lookups, Kafka for bid logging, and ClickHouse for post-bid analytics. Load testing is part of every RTB engagement: we simulate peak bid request volumes before launch and identify bottlenecks. One of our clients needed to process 2 million bid requests per day at launch, scaling to 10 million within 6 months — we designed the architecture with that growth in mind from day one, using auto-scaling groups on AWS.

Our AdTech systems are designed from the ground up for scale. Depending on the architecture and infrastructure choices, our platforms typically handle between 500,000 and 50 million events per day at launch, with headroom to scale further as traffic grows. The key architectural decisions that determine scale are: stateless bid evaluation services (easy to horizontally scale), asynchronous logging (never block a bid for a write), pre-computed audience segments (avoid real-time ML inference in the critical path), and CDN-cached creative assets. We provide load testing reports before every production launch, and we include scale projections for 12 months in our architecture documents.

Integrations with major programmatic platforms — The Trade Desk, DV360, Index Exchange, Magnite, and others — follow the OpenRTB 2.x specification, which standardizes bid request and response formats. We handle the protocol-level implementation, SSL certificate management, traffic filtering (bot detection, invalid traffic), and the reporting pipelines needed to reconcile spend data across platforms. For custom integrations outside of OpenRTB, we build purpose-built connectors with rate limiting, retry logic, and alerting for API failures. Integration work typically takes 2–4 weeks per platform depending on documentation quality and sandbox availability.

AdTech has significant compliance requirements, especially for companies operating in the EU or California. We implement GDPR-compliant consent management — including integration with IAB TCF 2.0 consent strings — so that targeting and tracking only happens for users who have explicitly opted in. For CCPA compliance, we build opt-out mechanisms and data deletion workflows. We also address brand safety concerns through contextual filtering and integration with third-party verification providers like IAS and DoubleVerify. Compliance is not an afterthought in our engagements — we include a compliance review in every AdTech architecture document.