Media groups, telcos and SaaS platforms — where data volume, API scale and AI-enabled content are the product, not support functions.
When the product itself is data-heavy and AI-enabled, the platform has to earn its seat every quarter.
Migration to cloud-native architectures with FinOps discipline — containerized workloads, scalable data platforms.
SAP or Oracle Fusion supporting subscription-revenue recognition, channel partners and global operations.
Kafka / Pub-Sub-based event platforms for real-time analytics and AI feature pipelines.
AI in the product itself — search, summarization, moderation and AI-assisted content production with evals.
MLOps, guardrails, cost monitoring and red-teaming for production AI features.
Cost engineering tuned to high-scale, data-heavy cloud economics.
Explore the adjacent practices we often deliver alongside.
A partner for cloud, data and AI programs at the scale information-services demands.