Kuber Tech Solutions

We  engineer  what's  next.  

The engineering team behind fast, scalable, AI-enabled products.

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What we do

Our capabilities.

Build it, run it, or make it fast. Often all three.

01 / AI Engineering

AI that works in production.

RAG pipelines, copilots, document search, agentic workflows. Not demos — production systems that are traceable, evaluatable, and cost-controlled from day one.

  • Custom LLM applications, agents & RAG pipelines
  • Model evaluation, guardrails & observability
  • Hybrid search, contextual chunking & re-ranking

02 / Cloud & Infrastructure

Infrastructure that stays up.

Most teams build the app and outsource the cloud. We own both — production-grade hosting, CI/CD, and the operations behind a product that has to stay reliable under real traffic.

  • AWS, Terraform, Kubernetes, Docker
  • CI/CD pipelines & observability
  • Autoscaling & cost-optimised infrastructure as code

03 / IoT & Connected Hardware

Devices that connect, update, and run on their own.

Purpose-built connected systems for field and edge deployment. We design firmware, cloud sync, and OTA management so devices stay current and accessible without manual intervention.

  • Raspberry Pi and embedded controllers for edge deployment
  • MQTT telemetry, cloud sync, and remote device management
  • Secure connectivity, versioned OTA updates, and fleet rollback

04 / Full-Cycle Development

Idea to production, end to end.

From first wireframe to live in production. We design, build, and ship complete web products — and stay accountable for how they run, not just how they look in a demo.

  • Product and UI, design systems, APIs and data layers
  • React, Next.js, TypeScript and Node — or whatever fits
  • The pipeline that puts it live

Live from production

Systems we run, running.

A feel for what our work looks like in the wild — a RAG pipeline answering queries and a design platform shipping in real time.

Our projects

AI engineeringCase study

sub-200ms

500k+ docs indexed, 35% lower cloud cost

Designed and built an internal search system indexing 500k+ technical documents using hybrid dense + sparse retrieval (Weaviate). Deployed on Kubernetes (EKS) with sub-200ms latency at 35% lower cloud cost than initial provisioning.

Rivian: RAG Knowledge Engine

Full-stack real-time appCase study

Full funnel

Upload, customise, checkout, owned end to end

Canvas-based design tool for real-time artwork placement and print ordering, built on Konva.js with WebSockets throughout. Six months of iteration with zero regressions and green Core Web Vitals in production.

Custom Print Platform

Proof, not promises

0+ yrs

Full-cycle product delivery, design to deploy

0M+

Users served on products we have built and run

0k+

Documents indexed in a production RAG system we shipped

0%

Uptime on the cloud infrastructure we own

Work that has shaped products at

Rivian
M&S
Siemens
Jiffy
Cigora
Rivian
M&S
Siemens
Jiffy
Cigora

Ready when you are

Let's build what's next.

Thirty minutes, no deck, no pressure. Bring the problem — we'll bring an engineering opinion.