// services

Engineering and advisory for systems that have to work.

Four tracks with defined deliverables. Each one can run as fixed-scope advisory, sprint-based execution, or both in sequence.

Track 01

Deep-Tech Software Engineering

Automotive-grade software: NDS and ADAS map data pipelines, geospatial processing and low-latency distributed systems where milliseconds and correctness both matter.

C++
Rust
Go
NDS / ADAS
Geospatial
gRPC

Deliverables

Map data ingestion and compilation pipelines
Low-latency services with explicit latency budgets
Performance profiling and capacity model
Test harnesses for deterministic, replayable behaviour

Engagement · Sprint-based execution, embedded with your team

Track 02

Cloud-Native & Backend Architecture

Backends that stay boring in production: event-driven pipelines, clear service boundaries and data stores chosen for the workload, not the trend.

Go
Rust
Python
PostgreSQL
Redis
Kafka / NATS
Kubernetes

Deliverables

Target architecture and migration roadmap
Event schemas, idempotency and retry strategy
Observability: SLOs, tracing, dashboards, runbooks
Infrastructure as code and CI/CD pipeline

Engagement · Fixed-scope architecture review, then sprint-based build

Track 03

Enterprise AI & Agentic RAG Systems

Production LLM pipelines with evaluation, guardrails and cost control. Retrieval that is measured, agents that are bounded, internal tools that people actually use.

Python
Claude / OpenAI APIs
pgvector / Qdrant
LangGraph
Evals
OpenTelemetry

Deliverables

Retrieval design: chunking, embeddings, hybrid search, reranking
Evaluation suite with regression gates
Agent orchestration with tool permissions and audit logs
Cost, latency and quality dashboard

Engagement · Fixed-scope proof, then sprint-based productionisation

Track 04

Technical Product Architecture & Advisory

Senior technical judgment on demand: build-vs-buy, architecture decisions, vendor and hiring assessments, and a roadmap your engineers and executives both believe.

ADRs
Roadmapping
Due diligence
Team design

Deliverables

Architecture decision records and trade-off analysis
Technical due diligence report
Quarter-level technical roadmap
Hiring profiles and interview loops

Engagement · Fixed-scope advisory or monthly retainer

// architecture case patterns

Representative engagement patterns.

Anonymised patterns of the problems we are brought in to solve. Named case studies are shared under NDA on request.

Map data pipeline modernisation

Problem: Batch compilation of navigation map data is slow, hard to reproduce and blocks releases.
Approach: Move to incremental, event-driven processing with deterministic replays and per-stage validation.
Outcome: Shorter release cycles and builds that can be reproduced from any input snapshot.

Latency-critical service rewrite

Problem: A hot-path service misses its latency target under load and nobody trusts the numbers.
Approach: Profile first, set budgets per hop, rewrite only the hot path, and add regression gates in CI.
Outcome: Latency targets that are measured on every change, not discovered in production.

From LLM prototype to production

Problem: A promising RAG demo has no evaluation, unpredictable cost and no audit trail.
Approach: Build the eval set, add hybrid retrieval and guardrails, then ship behind quality and cost gates.
Outcome: An internal tool with measured quality, controlled spend and a path to improve.

// engagement model

Two ways to work together.

Start with a fixed-scope question, or put senior engineers on your roadmap. Many clients do one, then the other.

Fixed-scope advisory

A defined question, a defined deliverable, a defined price.

Best for

Architecture reviews
Technical due diligence
AI feasibility and build-vs-buy
Roadmap and team design

How it works

Scoping call and written statement of work
2-6 weeks, fixed fee
Workshops with your engineers and stakeholders
Written report and decision records

A document you can act on the day it lands.

Sprint-based execution

Senior engineers shipping alongside your team in short, reviewable cycles.

Best for

Building a pipeline or platform
Productionising an AI prototype
Performance and reliability work
Unblocking a delayed roadmap

How it works

Two-week sprints with demos
Shared backlog, your repositories, your CI
Weekly written status, no surprises
Handover docs and pairing in the final sprint

Working software in your environment, and a team that can run it.

Bring us the system that cannot be wrong.

Tell us what you are building. You get a written reply with proposed next steps.

Book a call

Have a system that needs to ship?

Tell us about it and we will reply with proposed next steps.

Schedule Technical Consultation