Assessment
Data & AI maturity baseline across 12 capability layers, a prioritised use-case roadmap and a business case for each.
DaasLabs helps organisations turn data into decisions: we advise, build, transform and run data and AI capabilities for one value-chain domain at a time, on foundations we have built once and reuse everywhere. SCIKIQ, our sister company, builds the data fabric and AI platform; DaasLabs provides the services that put it, and the wider data ecosystem, to work.
Every industry has its own value chain, regulators and economics, so each DaasLabs value proposition starts there. Underneath sit three assets we built once and bring to every engagement.
Most clients start with an assessment or a 30-45 day pilot in one domain, then choose how they want to scale.
Data & AI maturity baseline across 12 capability layers, a prioritised use-case roadmap and a business case for each.
One use case on your data, on the Data Fabric Framework and an accelerator, to a production-ready capability with a measured baseline.
Outcome-based delivery of an accelerator or platform build, owned end to end with phase-gated sign-off.
Data engineers, architects, analysts and AI engineers embedded in your teams under your delivery lead.
DataOps, MLOps and AgentOps: pipelines, models and agents run, monitored and improved under agreed SLAs.
A standing data & AI CoE: standards, reusable components, governance and a pipeline of use cases.
A dedicated team in India working as an extension of your organisation, on your roadmap.
We build and run the capability, then transfer people, process and IP to your own organisation or GCC.
License DaasLabs accelerators to run on your own platform, with implementation and support from our teams.
See also security & data protection, our responsible-AI policy and the technology ecosystem we build on.
Start with the outcome you need. Tell us the domain and the KPI; we'll propose an assessment or a 30-45 day pilot.
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