Great marketing ideas
fail in disconnected systems.

Modern marketing runs across too many disconnected platforms: AI, ecommerce, CRM, analytics, content, automation, customer experience, and more. We help solve the friction slowing down growth, personalization, customer experience, and digital delivery.

Let’s turn conference inspiration into measurable digital execution.

8
Founding companies
2,300 +
Engineers
25 +
Countries
400 +
Partnerships
€150M +
Combined revenue
98 %
Talent retention
The reality of marketing tech in 2026

Marketing teams ship faster
than their tech stacks can keep up .

You’re under pressure to personalise at scale, prove ROI in real time, integrate generative AI responsibly, and stay GDPR-compliant, while juggling agencies, SaaS vendors, and a backlog of half-finished platform work. Most marketing leaders we meet face the same three problems.

01 / FRAGMENTATION

Too many vendors. No single owner.

Your CRM team, BI team, security team, and AI consultants don’t talk. Projects slip through the cracks. Accountability disappears. You spend more time managing partners than driving outcomes.

02 / DATA SILOS

Your CRM, ecommerce, analytics and ad platforms don’t share a real-time customer view.

Your campaigns run on stale data. Reports take days to load. Personalisation is theoretical because nobody has a unified customer view. AI cannot deliver meaningful personalization or automation without connected data foundations.

03 / AI WITHOUT GUARDRAILS

AI demos that never become operational.

Everyone is experimenting with AI, but very few organizations have integrated it into real customer journeys, campaign operations, support workflows, or ecommerce ecosystems. You need partners that can operationalize AI securely and measurably.

What CUBE delivers

Five capabilities. One delivery standard.

We organise our 14 service domains around what marketing organisations actually need: activate customers, understand data, build platforms, scale infrastructure, and protect compliance. One contract. One delivery team. End-to-end ownership.

Activate

AI and agentic systems that meet your customers where they are.

From custom chatbots grounded in your knowledge base, to recommendation engines that personalise every touchpoint, to autonomous agents that handle support, lead qualification, and content workflows. We build production-grade AI on GPT, Claude, Gemini, and locally hosted LLMs when data privacy demands it.

  • Custom chatbots and virtual agents (CRM, ERP and web integrated)
  • Agentic AI for autonomous decisioning and workflow execution
  • Recommendation systems and real-time personalisation
  • RAG architectures grounded in your content libraries
Understand

Data foundations that turn marketing noise into signal.

Data lakes, warehouses, marts, and ETL/ELT pipelines on Azure, AWS, and Google Cloud. Interactive BI dashboards that finally make your marketing data legible to leadership.

  • Data warehouses and lakes
  • ETL/ELT integration pipelines
  • Power BI and Tableau dashboards
  • NLP for content and sentiment analysis
Build

Custom platforms and martech engineering.

Web, mobile, desktop. Customer portals, campaign tools, loyalty platforms, e-commerce. Integrated with your CRM, DMS, and finance systems.

Scale

Cloud, DevOps, and 24/7 application support.

AWS, Azure, GCP migrations. Kubernetes, IaC, CI/CD. Multidisciplinary teams that scale your platform when traffic spikes, not after.

Protect

Cybersecurity and GDPR by design.

With Cyberglobal in our core: penetration testing, secure SDLC, 24/7 SOC, incident response, and GDPR, ISO and PCI advisory baked into every layer of delivery.

AI services for marketing organisations

Operational AI for digital teams, not experimental pilots .

We build AI systems designed for measurable operational impact: customer support automation, personalization, intelligent search, analytics acceleration, content workflows, and digital experience optimization.

Custom Chatbots

AI agents that understand your brand voice, query your data, and integrate with CRM, ERP, and your website.

Agentic AI

Autonomous systems that search databases, send emails, call APIs, and act on customer requests in real time.

Recommendation Engines

Real-time product and content suggestions that adapt to user behaviour and lift conversion across digital channels.

NLP and Content Intelligence

Analyse and summarise large volumes of text. Extract insights from emails, reviews, and unstructured data.

Computer Vision

Detect and classify objects in images and video. Power ID verification, content moderation, and creative QA.

Voice and Speech AI

Transcribe calls, build voice interfaces, analyse tone and sentiment to optimise customer interactions.

Anomaly Detection and Forecasting

Spot unusual campaign patterns. Forecast sales, churn, and risk events before they happen.

ML and Predictive Analytics

Customer segmentation, behaviour prediction, fraud detection. Regression, classification, full MLOps lifecycle.

Case study, 01

Data Processing
and Visualization .

The data processing and visualization capabilities of our AI team are the driving force behind our success in extracting meaningful insights from complex datasets. We specialize in developing innovative algorithms and leveraging advanced machine learning techniques to process and analyze vast amounts of data with speed and precision. The technologies used allow us to transform raw data into actionable information , uncovering patterns and trends that drive business growth.

Our expertise in data visualization ensures that we effectively communicate our findings through visually compelling and intuitive dashboards, enabling stakeholders to make data-driven decisions confidently.

Data visualisation on a laptop, showing bar and line charts

Over time, besides the specific results mentioned above, we also have developed a solid methodology and data processing pipeline. For example:

Data Lakes

  • Central repository for all raw company data, regardless of format
  • Cost-effective first step for storage
  • Prepares data for future analysis

Data Integration

  • Pipelines that feed lakes, warehouses, and marts
  • Extract, transform, and load raw data into usable formats
  • Ensures data quality and analytics readiness

Data Marts

  • Department-focused slices of warehouse data
  • Pre-processed for faster reporting and analysis
  • Complements warehouses without rebuilds

Data Warehouses

  • Structured, central source for analysis
  • Cleans and organizes data from multiple sources
  • Supports data-driven decision-making
⚡ The power of business intelligence
Data Analyzed
Original Load Times
Data Warehouse Load Times
%
1 Month of Sales Data
23.5s
1s
>2000%
3 Months of Sales Data
58.5s
1.4s
>4000%
12 Months of Sales Data
4min 16s
1.6s
>14000%
Sales and Marketing Power BI dashboard with KPI tiles, charts and treemap

Some of the most mature data management pipelines we implemented offered a robust, future proof system capable of supporting the analytical needs of our partners:

Data management pipeline diagram, sources, ingestion pipelines, curated data layer, BI dashboards, ML models, GenAI agents

Speed.

We deploy delivery squads in weeks, not months.

Precision.

We speak fluent CRM, martech, GenAI, and GDPR.

Partnership.

We don’t take tickets. We own the outcome.

Case study, 02

EU Funds Copilot,
AI Solution .

Abstract AI network visualisation, glowing data points and connections

We’re building an AI copilot that streamlines how organizations discover, assess, and apply for EU funds and tenders. It continuously crawls and structures tender opportunities, understands your company profile and past outcomes, and computes fit, eligibility, and estimated success likelihood to help teams prioritize what’s worth pursuing. For each opportunity, a grounded chatbot can answer questions directly from the tender documentation, and the copilot can generate a first-pass application draft by following the full bid procedure and aligning requirements with your company information, then handing off to human validation, with AI support to refine, verify, and finalize before submission.

Key Features
  • Automated tender discovery and structuring (requirements, deadlines, criteria)
  • Company profile ingestion to personalize opportunities and responses
  • Eligibility and compliance checks mapped to tender rules
  • Match scoring and prioritization (fit, effort, estimated success likelihood)
  • Grounded tender Q&A chatbot (answers backed by bid documentation)
  • AI-generated application draft with human-in-the-loop review and refinement
The Goal

The ultimate goal of the project was to bridge the gap between complex tender requirements and effective bid execution, empowering teams with intelligent tools to identify the right opportunities, assess eligibility and fit, and produce high-quality applications faster with human validation.

Why marketing leaders choose CUBE

Six reasons we win end-to-end work .

01

Unmatched collective expertise

Access to 2,300+ specialists across software, cloud, data, security, UX, and systems integration, without juggling multiple vendors.

02

Truly end-to-end

From initial strategy to long-term operations, we cover the full lifecycle of digital products, platforms, and infrastructure.

03

Built on trust, not layers

CUBE is engineer-led and founder-driven. You work with decision-makers, not layers of middle management.

04

Plug-and-play flexibility

A full delivery team, a security overlay, a DevOps partner. CUBE adapts to your needs while ensuring unified governance and quality.

05

Security and compliance by design

With Cyberglobal in our core, risk management, GDPR, ISO and PCI compliance are baked into every layer of delivery.

06

Faster onboarding. Faster outcomes.

Our alliance structure lets you scale quickly, leveraging proven teams that already know how to work together.

How we engage

Three contracting models. Pick what fits.

If you need highly skilled software development teams to accelerate your strategic projects, we deploy experienced engineers fast, with the commercial structure that makes sense for your work.

Dedicated teams

Engineers fully committed to your projects. You participate in selection, maintain constant communication with the squad, and treat them as your own.

Time and materials

When the total effort can’t be determined upfront and scope evolves through development. Maximum flexibility, transparent billing.

Fixed price

Most effective when scope and specifications are clearly outlined. Predictable cost, predictable delivery.

Let’s talk about
where AI creates value first.

Whether you're exploring AI-powered customer experiences, operational automation, personalization, analytics, or digital platform modernization, we’d love to discuss practical opportunities relevant to your roadmap.