Three disciplines. One engineering standard.

Foundational decisions, made with the people who'll have to live with them.

We work alongside leadership and engineering teams to make the architectural and strategic calls that shape the next several years of a system. Our advisory is grounded in implementation experience — we recommend what we are willing to build.

Architecture design

Service boundaries, data flows, integration patterns, technology selection. Trade-offs made explicit and defensible.

System strategy

Roadmaps that survive contact with reality. Build vs. buy. Migration paths. Sequencing under real-world constraints.

Web3 & chain strategy

Chain selection, L1 vs. L2 trade-offs, custody models, on-chain vs. off-chain boundaries, bridge and oracle risk.

AI / LLM strategy

Where AI helps, where it harms. Model selection, evaluation strategy, RAG vs. fine-tuning, cost and latency budgets, agentic patterns.

Technical due diligence

Independent reviews for investors, boards and acquirers. Architecture, code, operations, team, risk.

Embedded advisory

Fractional principal-engineer support for in-house engineering leadership: design reviews, hiring input, escalation, second-pair-of-eyes on major calls.

Pre-licence readiness

Technical evidence packages for EMI, PI and crypto-asset authorisation cycles, including MiCA and VARA.

Backend, on-chain and AI systems engineered for correctness, observability and operational longevity.

We build systems that are inspectable, testable and bounded. Our work tends to sit close to the core — transactional engines, ledgers, smart contracts, data and inference pipelines, integration layers and the infrastructure that supports them.

Backend systems & ledgers

Domain-driven services, event-sourced cores, double-entry ledgers, idempotent transactional engines.

Smart contracts & on-chain infra

Solidity contracts with property-based and invariant testing (Foundry), deployment pipelines, indexers, custody and settlement services across EVM chains and L2s.

AI / LLM applications

Production-grade RAG, agent workflows, evaluation harnesses, guardrails, citation enforcement and per-query cost telemetry. Built to be measured, not demoed.

APIs & partner integrations

Internal APIs, partner-facing APIs, third-party platform connectivity. Versioning, contracts, deprecation discipline.

Event-driven architectures

Streaming backbones, exactly-once semantics where they matter, replay and recovery as first-class capabilities.

Cloud infrastructure

Infrastructure as code, multi-environment topology, secret management, network architecture, security baselines.

Observability tooling

Metrics, traces, logs and dashboards designed for the people who'll be on-call at 3am.

Turn fragile systems into infrastructure you can trust under load.

Many of the systems we work on already exist. We bring discipline, measurement and engineering rigour to systems that have outgrown their original design, are hitting performance ceilings, or have become risky to change.

Performance profiling & tuning

Instrumentation-led optimisation. Hot-path analysis, query planning, I/O patterns, GC and memory behaviour.

Bounded refactoring

Behaviour-preserving change at scale. Tested, reviewed, deployed safely behind flags. No big-bang rewrites.

SLO design & instrumentation

Define meaningful SLOs, instrument for them, and engineer the system to actually hit them under load.

AI inference & cost tuning

Model routing, caching, batching and quantisation. Right-size the model to the task; remove the LLM where it isn't earning its keep.

Smart contract gas & safety

Gas profiling, storage layout review, invariant and fuzz testing of existing contracts. Remediation under change-control.

Incident response engineering

Post-incident reviews that change the system, not just the documentation. Root causes engineered out.

Cost & capacity engineering

Right-size the estate. Find the cliffs before you hit them. Make capacity planning a routine engineering activity.