Years of experience
Data & AI engineers
Projects delivered
Estimation accuracy
Every system reports something. None of them agree. So the meeting turns into an argument about whose number is right, and the decision waits another week.
In energy and healthcare, that gap isn’t an inconvenience. It shows up as downtime, cost and risk.
Most consultancies sell you discovery, then build your pipelines from scratch on your budget. We bring pre-built, customisable platform accelerators for ingestion, quality, governance, semantic layer and serving, and spend the engagement on the 20% that is actually specific to you.
Start wherever your gap is. Every engagement lands on the same governed foundation, so nothing you buy now blocks what you build next.
Lakehouse and warehouse architecture, pipelines, modelling and the governance that makes the numbers defensible.
ExploreFrom use case selection to production: RAG, agents, forecasting and the evaluation loop that keeps them honest.
ExploreAWS, Azure and GCP foundations with FinOps and cost controls designed in, so scale doesn't surprise your CFO.
ExploreRegistered partner. Delta Live Tables, Unity Catalog, streaming pipelines and MLOps on an open lakehouse.
ExploreRegistered partner. Warehouse design, secure sharing, and workload tuning that trims spend without trimming speed.
ExploreForecasting, predictive maintenance and anomaly detection, trained on data you can trace back to its source.
ExploreNo six-month discovery phase. You see working software on your own data before you sign anything meaningful.
We take one real use case and one real data source, and stand up a working slice on your cloud. You keep the code either way.
No cost · no obligationPre-built modules go in: ingestion, quality, governance, semantic layer. Your first governed dashboards go live to real users.
Fixed scope · fixed priceAI workloads, more sources, CI/CD and cost controls. Then runbooks, workshops and handover so your team runs it without us.
88% estimation accuracyEnergy companies run some of the most data-dense systems in the world and use a fraction of what they collect. Our pre-built Energy Data Platform unifies operational, sensor and business data into one trusted system.
Result: faster decisions, less downtime, and a clear path to AI adoption.
Energy and healthcare get pre-built platforms and named accelerators. The rest get the same engineering, assembled to fit.
Big-firm architecture standards, run by a team small enough that the person who scoped it is the person who builds it.
No bench, no six-week staffing dance. We put named people on your problem within seven days and hold 88% estimation accuracy against the plan.
Lineage, data quality, access patterns and auditability are designed in, not retrofitted the quarter before your audit.
Open standards and modular components, Databricks lakehouse, Snowflake where it fits, so pieces can change without re-platforming.
Cost controls and workload tuning are part of the architecture, so the cloud bill scales with value instead of with usage.
Runbooks, workshops and post-launch support are in scope from the start. The measure of the engagement is that you stop needing us.
North America, Europe, the Middle East and Asia with local time-zone overlap and 24/7 support on production workloads.
Two clinical systems, one reporting layer and reporting that stopped depending on manual exports.
Read the caseOperational signals scored in near real time, so risk surfaces before dispatch instead of after debrief.
Read the caseAn agent that reads the noise, tracks the signals that matter, and reports in language a human can act on.
Read the case
We map use cases to revenue, cost and risk, pick the right lakehouse or warehouse pattern, and draft a phased plan with milestones, KPIs and named owners. 60 minutes. No fluff, no deck. A plan you can run on Monday.
We build on AWS, Azure, and GCP and are registered partners with Databricks and Snowflake, ideal for open, scalable lakehouse/warehouse architectures.
Our modular approach lets you start with a focused use case (e.g., BI modernization or a single AI workflow), prove value, and expand. FinOps and cost controls are built into our designs so you scale efficiently on cloud.
We combine an 88% estimation accuracy record with phased roadmaps and clear acceptance criteria. This reduces risk and ensures transparency from strategy through post-launch.
Five phases: Discovery & Strategy, Architecture Design, Implementation, Testing & Optimization, Deployment & Handover — with enablement and governance embedded throughout.
We design governance and data controls into pipelines and platform components from day one (lineage, quality, access patterns, and auditability), aligning with your policies and regulatory needs.
We prefer open standards and modular architectures (e.g., Databricks lakehouse + Snowflake where appropriate), so components can evolve without re-platforming.
Yes, enablement is embedded: runbooks, workshops, and post-launch support so your teams can own and extend the solution.
We deliver across North America, Europe, the Middle East, and Asia, with local time-zone flexibility and 24/7 support.
