Run
Managed platform. Always-on, always-governed.
Running enterprise data infrastructure is a full-time job requiring engineering depth, governance, and operational discipline. Our Run service manages your live data platform fully: incident resolution, release management, code and cost optimization, pipeline management, core artefact maintenance, knowledge base upkeep, and incremental upgrades.
Platform Ops, DataOps and MlOps
Keeping data and ML pipelines running reliably at enterprise scale requires continuous vigilance. We provide end-to-end management of your DataOps and MLOps estate: monitoring pipeline health, managing deployments, optimising cost and ensuring your infrastructure performs consistently in production.
Our observability frameworks give you full visibility into the health, performance and reliability of your pipelines and ML models — real-time monitoring, automated alerting and drift detection that surface issues before they impact production. CI/CD pipelines are maintained and evolved as your platform grows, with FinOps best practice embedded throughout — rightsizing, auto-scaling and cost-aware orchestration keeping your cloud spend under control.
When something goes wrong with mission-critical data infrastructure, the speed and quality of the response matters enormously. Our managed platform service provides comprehensive, tiered support — 1st, 2nd and 3rd line — covering everything from routine incident resolution to advanced infrastructure debugging, with SLAs that reflect the criticality of what we’re running.
Beyond keeping the lights on, we take an active role in evolving your platform: release management, post-mortems, code and cost optimisation, pipeline maintenance and the delivery of incremental improvements that keep your infrastructure ahead of your business needs rather than catching up to them. Knowledge base upkeep and core artefact maintenance are included as standard, so the platform remains understood, documented and transferable.
The result is a DataOps and MLOps estate that runs predictably, reliably and scales controllably.
- 99%average platform and data pipeline uptime, Q1 2026
- 25%cloud cost savings unlocked via AI-assisted FinOps
Dot Housing
Dot Housing is Dot Collective’s SaaS platform built specifically to help housing associations turn complex data into clear, trusted insights. It brings together housing, repairs, asset, finance and tenant data into one managed, AI-native platform so that teams can make confident decisions faster.
This is data built with housing in mind, designed to support operational performance, regulatory compliance and reporting, and long-term investment decisions without the cost or complexity of building everything in-house.
Whether you just need to automate your Tenant Satisfaction Measures, your Statistical Data Returns or new insights, Dot Housing helps you understand your data and make better data-driven decisions.
Dot Sport
Dot Sport is Dot Collective’s SaaS sports data platform built specifically to help organisations turn complex data into clear, trusted insights. It brings together performance, operations, commercial, finance and fan data into one managed, AI-native platform so teams can make confident decisions and meet their goals.
This is data built with sport in mind, designed to support revenue generation through fan engagement, ticket sales, hospitality, sponsorships, marketing data, and long-term strategic decision-making without the cost of building everything in-house.
Whether that’s fan engagement reporting, sponsorship performance or campaign effectiveness, Dot Sport helps you understand your audience and what drives engagement, loyalty and spend.
Already running a data platform and not sure it's working as hard
as it should?
We offer a structured platform health assessment — a focused, low-commitment engagement where our senior engineers review your current estate against best practice across performance, governance, cost efficiency and AI-readiness.
You'll leave with a clear picture of where you are, what's holding you back, and what the path forward looks like. A practical starting point if you're considering managed services but want to see how we think before you commit.
