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End-to-end engineering partner · AI · IoT · Mobile · Cloud

GIKOSIntelligenceat Scale.

We design, build and operate the systems that make an enterprise intelligent — generative AI on the inside, connected devices at the edge, resilient cloud underneath, and products people actually want to use on top.

AIMobileCloudIoTDataDesignKOS
Generative AI
Agentic Automation
RAG Platforms
Computer Vision
Native Mobile
Cross-platform Apps
Cloud Migration
Kubernetes
DevSecOps
FinOps
Edge AI
Digital Twins
Fleet Management
Data Lakehouse
Streaming Pipelines
Design Systems
Test Automation
SRE
Generative AI
Agentic Automation
RAG Platforms
Computer Vision
Native Mobile
Cross-platform Apps
Cloud Migration
Kubernetes
DevSecOps
FinOps
Edge AI
Digital Twins
Fleet Management
Data Lakehouse
Streaming Pipelines
Design Systems
Test Automation
SRE
The name is the method

A Knowledge Operating System for your enterprise

GIGenerative Intelligence
KOSKnowledge Operating System

Intelligence is not a feature you bolt on. It is a layer that runs across everything an organisation already knows — its documents, its telemetry, its transactions, its people. We build that layer: from the sensor on the shop floor to the answer in someone’s hand, governed and observable end to end.

That is what Intelligence at Scale means to us — not a bigger model, but a system your whole business can run on.

Experience

Mobile · web · copilots · field tools

L5

Intelligence

Agents · retrieval · models · evaluation

L4

Knowledge

Governed data · contracts · lineage

L3

Platform

Cloud · Kubernetes · pipelines · SRE

L2

Edge

Devices · firmware · connectivity · OT

L1

One team owns every layer

01

One partner, the whole stack

Projects often stall where work passes between vendors — an app here, a model there. GIKOS covers strategy, design, engineering, cloud, devices and run, so fewer hand-offs separate you from a working result and one team stays accountable.

02

The KOS delivery model

Our Knowledge Operating System turns each engagement into structured, reusable assets — reference architectures, evaluation suites and component libraries — so later work builds on what came before.

How we deliver

Our method spells our name: G·I·K·O·S

Five stages, one continuous line — no hand-offs between strategy, build and run.

  1. G

    Ground

    Frame the real problem

    Stakeholder interviews, system landscape mapping and value modelling. We separate the problem worth solving from the feature that was asked for, and name the single riskiest assumption in the programme before anyone writes code.

    • Value hypothesis
    • System landscape map
    • Risk register
  2. I

    Imagine

    Make it concrete before it is expensive

    Target architecture, integration contracts, experience design and a costed roadmap. Where the risk is technical we build a spike; where it is human we build a prototype and put it in front of real users.

    • Target architecture
    • Clickable prototype
    • Costed roadmap
  3. K

    Keystone

    Engineer the load-bearing core

    Cross-functional squads build the piece everything else depends on first, in two-week sprints against a shared backlog. Automated tests, security scanning and infrastructure as code from the first commit — never retrofitted.

    • Working increments
    • Automated test suite
    • IaC environments
  4. O

    Orchestrate

    Launch without holding your breath

    Progressive rollout behind feature flags, load and failover testing, observability wired to real SLOs, and a rehearsed rollback path agreed before anyone touches production.

    • Release pipeline
    • SLO dashboard
    • Runbooks
  5. S

    Scale

    Keep compounding after go-live

    SLA-backed operations, incident review, cost and performance optimisation, model and dependency currency, and a quarterly roadmap grounded in production telemetry rather than opinion.

    • Support SLA
    • Optimisation cycles
    • Quarterly roadmap

Technologies we build with

Claude
OpenAI
PyTorch
LangGraph
Hugging Face
Kubernetes
Terraform
AWS
Azure
Google Cloud
Snowflake
Databricks
Kafka
PostgreSQL
Claude
OpenAI
PyTorch
LangGraph
Hugging Face
Kubernetes
Terraform
AWS
Azure
Google Cloud
Snowflake
Databricks
Kafka
PostgreSQL
Swift
Kotlin
React Native
Flutter
Next.js
Node.js
Go
Rust
Python
MQTT
LoRaWAN
OPC UA
Zephyr
TensorFlow Lite
Grafana
OpenTelemetry
Swift
Kotlin
React Native
Flutter
Next.js
Node.js
Go
Rust
Python
MQTT
LoRaWAN
OPC UA
Zephyr
TensorFlow Lite
Grafana
OpenTelemetry
Where we work

Context matters more than code

A model that works in retail may fail on a shop floor. We bring domain patterns, regulatory awareness and integration know-how to every sector we serve.

All industries

Let’s build something that outlives the pilot.

Tell us the outcome you are after and we will give you an honest view of what it takes.

We reply to every enquiry within one business day.