Strategic partners
We build on the platforms your teams already run, and we run all of it the same way afterwards.
We build AI into what you already run. Then we run it, around the clock, on our own platform.
Four reasons show up in every stalled programme.
Score your enterprise across ten dimensions the research says determine whether AI ships to production. Strong, Emerging, or Needs Strengthening, answered honestly. Your placement is one of three bands, and the recommendation is shaped by where you score.
Complete all ten dimensions to see your band placement and a recommendation.
Three pillars build it. Managed Operations runs it. All of it on one platform, AIONIQ.
One team that takes a use case all the way into production.
The data foundation every AI programme starts from.
Support what you run today. Wrap legacy with MCP. Build AI-native where it earns the case.
24x7 across AI, data, applications and security. The team that builds it runs it, so nothing has to be rebuilt in between.
Agent monitoring, drift, token spend, AI inventory and audit
Pipeline health, freshness, lakehouse and cluster ops, lineage
Support and SRE, incident and change, release and availability
24x7 SOC and threat detection, vulnerability management, identity and access
Managed Operations is what you buy. AIONIQ is what we run it on.
Every agent, pipeline, application and alert in one view, around the clock. Built on runbooks from eleven years of running production systems, now extended to cover agents too. Plus AI inventory, risk scoring, audit reporting, and a unique identity for every agent.
If an agent starts giving worse answers, that is an incident here, with a named owner and a response time we commit to.
We wrote our clients' digital transformation, and now we are writing their AI transformation. 95% return for the next programme, and our largest accounts have stayed five to eight years, because the knowledge compounds inside the account from build through to run.
Real-time fraud and AML, intelligent lending, risk and compliance automation, AI copilots for wealth.
Patient 360, population health analytics, clinical AI, HIPAA-compliant governance at scale.
Predictive maintenance, smart factory ops, supply-chain intelligence, OT/IT integration.
SaaS modernisation, agentic SDLC, AI-driven operations, developer productivity.
Engagements organised by what each proves.
IoT data application layer with ML failure prediction, embedded in the operations workflow on Azure and Databricks. AI inside the application, where the operator already works.
Monolith decomposed to cloud-native microservices on AWS with strangler-fig migration. Compliance cycles cut from weeks to days. Zero service interruption across the migration.
Fragmented EMR, operational, and third-party data unified on Azure, Databricks, and Fabric. Governance by design, no core systems replaced. RAG-ready vector store for clinical AI.
We build on the platforms your teams already run, and we run all of it the same way afterwards.
Most enterprises can start with what they already run, once it is made usable by agents, with one partner accountable for the whole thing.