Genuine Optimum
Capabilities

What we can build for you

The things we do regularly. Most projects combine three or four of them, because a model without a pipeline and an interface is not a system anyone can use.

01

AI models & agents

Fine-tuning, retrieval systems, voice and chat agents, and evaluation harnesses that catch regressions before your customers do.

RAGfine-tuningevalsspeech
02

AI engineering

Taking a model from a working notebook to a dependable product: serving, latency and cost budgets, monitoring, and the plumbing that keeps it running after launch.

model servingLLM opsmonitoring
03

Harness engineering

The scaffolding around a model that makes it usable: tool calling, sandboxes, context handling, guardrails, and the test harnesses that show whether it is actually improving.

tool usesandboxesguardrailseval harnesses
04

Data systems

Ingestion, pipelines, warehouses, and the modelling layer on top. Getting operational data into one place, then making it answer questions.

ETLwarehousingstreaming
05

Web development

Marketing sites and web applications on modern frameworks, handed over with the tooling and documentation to keep changing them.

SSRtechnical SEOperformance
06

App development

Cross-platform mobile apps and desktop tools, including offline-first builds for field and site teams who lose signal.

iOS / Androidoffline sync
07

CMS & internal software

Content systems, admin panels, and back-office tools shaped around how your team actually works instead of a generic template.

headless CMSroles & permissions
08

Dashboards & BI

Operational dashboards and reporting built on your live data, with the metric definitions agreed once rather than argued about monthly.

real-timeforecasting
09

Automation & integration

Connecting the tools you already pay for, and replacing the manual steps between them with workflows that run unattended.

APIswebhooksqueues
10

Cloud engineering

Designing and running the infrastructure your software sits on: networks, environments, storage and scaling, with cost kept visible from the start.

AWSinfrastructure as codecost control
11

DevOps

The delivery pipeline: automated builds, tests and releases, plus the monitoring that tells you something is wrong before your users do.

CI/CDobservabilityrelease automation
Not on the list?Describe the problem insteadGet in touch →
Stack

Tools we work in daily

Chosen per project. We do not start every build with the same four boxes.

Languages
Python
TypeScript
Go
Rust
Kotlin
SQL
AI & data
PyTorch
Hugging Face
LangChain
Anthropic
OpenAI
dbt
Airflow
Kafka
DuckDB
Product & infrastructure
React
Next.js
Node.js
Three.js
Tailwind
PostgreSQL
Redis
Docker
Kubernetes
AWS
Vercel
Supabase
Terraform

Not sure which of these you need?

Describe the problem and we'll tell you what it actually takes, including when the answer is less than you expected.