Our Work

Augmented the client’s engineering capacity to rapidly build and launch the product in just five months — accelerating feature delivery and significantly expanding the user base.

Transformed a high-volume ad platform handling 22M daily requests into a hyperscale system serving 8B requests per day — while reducing eCPM by 94% over two years to stay fiercely competitive.

Partnered with an enterprise to streamline complex business processes using autonomous AI. By implementing a scalable architecture with LLM-powered agents, knowledge graph-driven insights, and automated document processing, we enabled intelligent querying across multiple databases, reduced manual effort, and improved real-time decision-making efficiency.

Re-engineered the ad platform to fix targeting inefficiencies and unlock unused inventory — delivering 75% operational cost reduction, improved analytics visibility, and 5X performance growth within a year.

Partnered with a channel marketing company to rebuild its legacy monolithic system into a modern AI-native platform. By introducing modular architecture, AI-driven development workflows, and a scalable data lakehouse, we delivered a cloud-ready platform within an accelerated timeline for a marquee enterprise client.

Partnered with a wireless networking company to replace its legacy parametric throughput model with a machine learning–driven predictor. By implementing Gradient Boosted Trees and a production-grade MLOps framework, we delivered a self-learning, cloud-ready system with real-time monitoring, scalable deployment, and continuous model improvement.