Reference landing zones, sovereign deployments, and FinOps at scale across the GCC, India, and EMEA.
A 16-year run of shipped transformations.
Founded in 2010. Today: 500+ engineers, designers, and consultants in 22+ countries — partnering with the leaders we admire and the regulators we respect.
Three numbers that frame the firm.
Why RapidData exists.
We were started by engineers and CIOs who watched too many transformation programmes ship decks. RapidData was built to be the firm we wished had been there to call — one accountable team, named outcomes, audit-ready by default.
500+ specialists, working across 22 countries.
Sector consultants, designers, engineers, architects, scientists. Half deployed in client teams, half on our platforms. Median tenure: 6.4 years.
250+ programmes shipped — and counting.
From AI underwriting at sovereign banks to citizen platforms at federal agencies. Public sector, banking, healthcare, energy, retail, telecom — at audit-grade standard.
Impact in numbers
Trusted by 200+ governments and enterprises in 22+ countries.
Strategic technology & advisory partners.
The platforms our clients run on, and the providers who certify our delivery quality.
Azure-native enterprise platforms, AI Foundry workloads, and government-cloud delivery in 9 jurisdictions.
BigQuery / Vertex AI architecture, GKE-based platforms, and joint go-to-market for regulated industries.
OCI sovereign deployments and Oracle ERP / EBS modernisation programmes for regulated customers.
watsonx, Cloud Pak for Data, and Db2 modernisation programmes for regulated and sovereign deployments.
Centre of Excellence delivery model with 500+ certified developers and an enterprise reference architecture.
Native semantic layer, Snowpark, and governed marketplaces for regulated enterprise reporting.
Lakehouse, Mosaic AI, and Unity Catalog programmes powering BFS, healthcare, and pharma data fabrics.
Cloudera Data Platform across hybrid and sovereign environments, with Iceberg-native storage for regulated customers.
End-to-end data science and ML operations — from prep to productionised models with full lineage.
Joint reference architectures for sovereign Claude deployments in regulated jurisdictions.
Production GenAI workloads with content firewalls, evaluations, and audit-grade governance.
“Every engagement names its outcome. Every outcome has a number. Every number has an owner. Every quarter, we show our work.”
See how we can ship for you.
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