AI strategy

Strategic AI Roadmaps

Adopting AI is not just about the model; it is about integration, adoption and measurable business value. We find the friction points in your current environment and build a roadmap that gets AI into production.

  • Data readiness and architecture assessment
  • Use cases prioritized by value and feasibility
  • A pilot-to-production plan with clear success criteria
Technology evaluation

Technical Due Diligence & Stack Audits

Independent, deep-dive evaluations for investors and technology leaders, so platform decisions hold up against long-term scaling, security and cost requirements.

  • Technical due diligence on acquisitions and investments
  • Vendor and platform evaluations against your architecture
  • Architecture reviews with prioritized remediation

Legacy Modernization & Performance Engineering

We modernize critical systems that have outgrown their platforms, and rescue the ones that fail under load.

  • Modernized a 30-year-old cost accounting system: 1M+ lines of code, 1B+ financial records and 200+ KPIs moved to a cloud platform
  • Re-deployed a 5,000-user call center application after a failed launch, through to a successful release
  • Performance engineering and remediation for systems with thousands of concurrent users
Kafka change-data-capture architecture

Real-Time Data Streaming

We design event-driven architectures on Apache Kafka, AWS MSK and Confluent, with change data capture that keeps knowledge graphs and analytics in step with production systems.

  • CDC pipelines (Debezium) from relational sources into Neo4j and analytics stores
  • Sub-second replication of thousands of records per second into graphs with billions of relationships
  • Real-time master data, recommendations and AI decisioning

See the full portfolio →