xanthos.tech
Engineering systems that scale — from concept to production.

London · Remote · UK/Europe

Software engineering consultancy for AI, data, cloud and product delivery.

We build and modernise systems that need to be fast, secure, observable and maintainable. Our work spans backend, web/mobile, data engineering and applied AI — with a bias for shipping.

Services

Technical expertise focused on solving real business problems with measurable impact.

Product & platform engineering

End-to-end delivery of cloud-native systems: APIs, services, web/mobile, integrations and internal tooling.

  • Greenfield builds and re-architecture
  • Performance and reliability improvements
  • Security boundaries and multi-tenancy

Applied AI systems

Production-grade AI: grounded outputs, evaluation, feedback loops and operational control.

  • RAG + semantic / hybrid search
  • Copilots integrated into workflows
  • Guardrails, evals, cost/latency tuning

Data & search engineering

Data ingestion, indexing, metadata and analytics telemetry — built for continuous change.

  • Connectors, pipelines and indexing
  • Vector + full-text retrieval patterns
  • Observability for relevance and quality

Cloud, DevOps & operations

Cloud infrastructure and delivery workflows that ship safely, repeatedly and predictably.

  • Kubernetes and managed services
  • CI/CD, release engineering, rollback
  • Monitoring, alerting, SLOs

Startup & scale-up support

Hands-on technical leadership when velocity and quality both matter.

  • Initial stack design and engineering standards
  • Pragmatic governance and architecture
  • Hiring support and team patterns

Architecture reviews

Focused interventions to unblock decisions, reduce risk and align on a path forward.

  • System audit and roadmap proposals
  • Trade-off writeups and threat modelling
  • Incremental migration planning

How we work

Principles that optimise for delivery speed without sacrificing maintainability.

Operating principles

  • Bias for execution: prototype early, harden what proves value.
  • Explicit trade-offs: decisions documented with options, risk, cost and ops impact.
  • Production by default: observability, rollback and security are first-class.
  • Trustworthy AI: grounded retrieval, evaluation and guardrails from day one.
  • Clear communication: tight feedback loops with stakeholders and engineers.

Engagement models

Project delivery Embedded engineering Technical leadership Advisory / reviews
Typical cadence
Week 1: discovery + architecture options
Weeks 2–N: build + ship increments
Ongoing: ops, measurement, iteration

What we build in practice

Real-world solutions we've built across different industries and use cases.

Knowledge & search platforms

Cross-system discovery layers that return source-linked answers and reduce time-to-resolution.

Domain copilots

Assistants that call tools, return structured outputs and fit real workflows with measurable accuracy.

Performance-critical web apps

Interactive systems where responsiveness matters: rendering, state, undo/redo and real-time UX.

Mobile + backend products

React Native + secure APIs, authentication, integrations and operational dashboards.

Data ingestion and indexing

Connectors, continuous updates, telemetry and instrumentation for relevance and quality.

Contact

If you need help building or scaling a technically demanding product, we should talk.

Send a message

Notes

  • Remote-first; London-based.
  • Happy to sign NDAs and work within security/compliance constraints.
  • Prefer small, high-leverage engagements with clear deliverables.