Solutions

Data foundation for analytics and AI

Analytics and AI are only as good as the data underneath them. Digitalis builds data foundations that reliably capture high-velocity data from operational systems and make it available, fresh and trusted, for reporting, insight and machine learning.

Kafka · Cassandra · Data engineering · AI services
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What a trusted data foundation makes possible

  • Capture every record from busy systems. High-velocity data from operational systems is stored reliably as it is created.
  • Generate insight the business can act on. Sales, customer and product teams work from one dependable source.
  • Strengthen governance and reporting. Consistent, well-managed data supports regulatory and compliance reporting.
  • Feed AI and machine learning with fresh data. Models and dashboards draw on current data the business trusts.

What we bring

The services and technologies behind it

Data engineering from source to insight

We design the pipelines, models and storage that move data from operational systems to the people and tools that use it.

Data engineering services

Streaming and change data capture for fresh data

Changes in operational databases stream into the platform as they happen and land in storage built for analytics.

Our technologies

Scalable storage for high-velocity data

Proven practices for running distributed databases at enterprise scale keep the foundation reliable under heavy, continuous load.

24×7 managed service

AI services built on the foundation

Once the data is trusted, we help you put it to work with custom AI development, LLM integration and MLOps.

AI services

Frequently asked questions

What is a data foundation?

A data foundation is the set of platforms and pipelines that capture, store and serve an organisation's data reliably, so analytics, reporting and AI all work from the same trusted source.

Do we need a data foundation before starting with AI?

AI depends on current, reliable data. Getting the foundation right first means models are trained and run on data the business trusts.

Can you work with our existing data systems?

We build on what you have where it makes sense, streaming changes from existing databases without changing the applications that write to them.

Which technologies do you use?

Apache Kafka with Kafka Connect and Debezium, Apache Cassandra, PostgreSQL, Elasticsearch and object storage. We are cloud-agnostic, so it runs on any cloud, from hyperscalers to European sovereign clouds, or on-premises.

Related Case Studies

Empowering Data Platform Teams with AI and Digitalis Expertise

AxonOps partnered with Digitalis.io to develop and deliver an AI-powered expert assistant designed to simplify operations for Apache Cassandra and Kafka. By combining Digitalis.io’s deep consulting experience in distributed systems with AxonOps’ monitoring and operations platform, the project created an assistant that provides real-time troubleshooting, code generation, and optimisation, all directly embedded into the AxonOps Workbench. The result was a transformative tool that reduced developer overhead, accelerated problem resolution, improved cluster efficiency, and enabled faster onboarding, making it an operationally reliable co-pilot for data engineers.
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Building a Reliable Data Platform Foundation for Business Insight and Customer Value

RSA partnered with Digitalis.io to modernise its core data foundation and overcome long-standing challenges in managing the high-velocity data flows from its policy systems. Digitalis delivered deep Cassandra expertise, operational reliability, and cost-optimised modernisation, providing RSA with the stable, scalable, and compliant platform it needed to unlock business insights, improve governance, and deliver better customer outcomes.
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Enabling Reliable, Scalable Cassandra Operations

With Apache Cassandra as a core component of its data platform, Anodot needed a partner that could ensure Cassandra operated reliably at scale while supporting ongoing growth. Digitalis.io provided hands-on operational expertise, tuning, and ongoing support, helping Anodot improve performance, deploy reliably, and control costs. By implementing AxonOps, Digitalis also delivered a full observability and management layer, enabling Anodot to confidently monitor and maintain multiple Cassandra clusters in production.
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Migrate Monolithic Backend to a Modern Architecture

Vero’s shift from a monolithic system to a cloud native, microservices-based architecture has transformed its technical foundation. By embracing modern technologies such as Kafka, Flink, Quarkus, Kubernetes, and Cassandra, Vero not only solved its immediate performance and scalability issues but also positioned itself for long-term innovation, growth, and user satisfaction.
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