Enterprise AI / Hybrid cloud / Quantum

The Tech Geek

A technology consultancy and product studio run by engineers who still open the terminal.

We help enterprises adopt AI, hybrid cloud and quantum computing without the guesswork. Our team pairs 25 years of hands-on engineering, architecture and enterprise leadership with working prototypes, so decisions rest on running software instead of slideware. Advice when the problem is new, products when it repeats.

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Why we exist

Emerging technology, made practical

Every engagement is measured by one thing: whether the idea ends up running in the client’s own environment.

Our mission

To make AI, hybrid cloud and quantum computing practical for the enterprises that depend on them, by pairing hands-on engineering with clear business judgment and proving every idea with working software.

Our vision

A world where every enterprise adopts emerging technology with confidence, and the distance from idea to running prototype is measured in weeks.

How we work

  • Prototype before we promise

    A working MVP settles more arguments than a slide deck.

  • Architecture first

    We map how a new capability fits the systems already running before anything is built.

  • Plain language, always

    The same clear explanation of the trade-offs for the C-suite and for the engineers.

Core offerings

Advice when the problem is new. Software when it repeats.

Our consultancy solves the problem in front of you. Our products package the patterns we keep seeing, so you start from working software instead of a blank page.

Consultancy

Work with our team

  • AI & Data Strategy

    Advisory

    Use-case prioritization, data foundations and agentic AI roadmaps tied to real revenue and cost outcomes.

  • Hybrid Cloud & Modernization

    Architecture & delivery

    Architecture and delivery for cloud migrations, application modernization and Kubernetes-based platforms.

  • Proof-of-Concept Sprints

    Sprint

    MVPs and working prototypes in weeks. One sprint covered 180 use cases in four weeks.

  • Quantum Readiness

    Advisory

    Hybrid quantum–classical architecture and Qiskit prototyping for teams starting the journey.

  • Technical Go-to-Market Leadership

    Leadership

    Structuring Data and AI sales and client engineering teams that pair technical depth with revenue discipline.

Products

Software you can use today

Dashboard

ATL Assistant

A weekly dashboard for technical account leaders: log activities, track KPIs, generate reports and get news-driven account insights.

Open the app ↗ Proposals

Proposal Studio

Build branded client proposals, pre-fill sections with AI from RFPs or past proposals, and export the result to Word.

Open the app ↗ Calculator

AI Tokenomics Calculator

Compare cloud-only against hybrid AI infrastructure over five years, adjusting token volume, on-premises share and software licensing.

Open the app ↗

The quantum lab

Quantum, drawn as architecture

Practical quantum computing is a question of where a circuit sits next to the systems a business already runs. We write Qiskit, design hybrid quantum–classical architectures, and publish what we learn along the way.

Two gate calls are all it takes to create entanglement. Getting from there to a production workflow is the architecture problem worth solving.

bell_state.pyQiskit
from qiskit import QuantumCircuit

qc = QuantumCircuit(2, 2)
qc.h(0)       # qubit 0 into superposition
qc.cx(0, 1)    # entangle qubit 1 with qubit 0
qc.measure([0, 1], [0, 1])
q0 q1 H
Measured outcomes · ideal simulation

The two qubits always agree. Neither result is decided until the measurement, and then both are.

Bring us the hard problem.

AI strategy, hybrid cloud, a proof of concept that has to work in four weeks, or a quantum question that needs an architecture. Start the conversation on LinkedIn.

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