Reliable data platforms. Trusted metrics. AI that actually works.

Built by experts who understand your business, systems, and constraints. We make your data consistent, traceable, and trustworthy so you can make decisions with confidence, scale analytics, and deploy AI without second-guessing.

From raw data to decisions, everything stays connected and explainable.

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The problem is not technology, data quality, or even lack of budget or business cases. It’s the complexity of combining all these elements together into solutions that deliver ROI.

Your systems work. Your teams work. Your data exists. But together, they don’t translate into measurable impact.

The problem isn’t individual systems. It’s misaligned priorities across disconnected initiatives that waste investment.

  • Investments in data and AI that don’t pay off
  • ERP, CRM, and operational systems aren’t truly integrated
  • Metrics are defined differently across systems and teams

We make your data, technology, metrics, and AI work as one. *

* by starting with the decisions your business needs to make, and aligning business and technology around them. We design your data platform, systems, and models as one connected foundation, preventing fragmented initiatives and wasted investment.

The Goal? Establish a single, trusted view of the business, where decisions, data, and outcomes are aligned.

We replace fragmented architectures and conflicting logic with a connected data foundation that keeps systems, metrics, and decisions aligned.

So you can move faster, trust what you see, and scale both analytics and AI with confidence.

The impact on your business

  1. 1

    Connected data system

    Your systems, pipelines, and data models are integrated into one consistent structure.

  2. 2

    Metrics everyone trusts

    Definitions are standardized and embedded into your data platform, not recreated in every tool.

  3. 3

    AI that delivers value

    Built on governed, structured data with clear lineage and explainability.

  4. 4

    Faster, more confident decisions

    Insights are embedded into workflows and systems, not isolated in dashboards.

  5. 5

    A foundation that scales with you

    As your business grows, your data and systems grow with it, without breaking or losing consistency.

Who We Are

We’re not just data engineers or consultants. We’ve sat on both sides.

We combine experience across data platform architecture, analytics, finance, operations, and large-scale transformation programs.

We understand how systems behave in reality, and how business decisions depend on them.

That’s why we focus on what most projects miss: how data, systems, and decisions connect in reality.

Our approach is simple: design it properly, build it properly, and make sure it delivers measurable outcomes.

Alessio Civitillo

An experienced financial analyst and software engineer, Alessio brings a unique blend of expertise and vision to the world of data, ensuring that our clients unlock the hidden connections in their data and deliver value to their stakeholders.

Mateusz Paździor

Mateusz designs modular, future-proof data infrastructures with strong observability and operational excellence, ensuring they stay reliable, scalable, and aligned with evolving business needs.

Giuseppe Anglani

15+ years of experience in finance roles, as well as in manufacturing and services for multinational corporations. Expertise in controlling FP&A, Commercial Finance, Operations Finance, and Internal Audit.

Karol Wolski

Karol builds secure, cloud-agnostic data platforms at scale. With deep DevOps expertise, he unifies data sources, automates infrastructure, and streamlines hybrid operations.

Ciprian Pup

Ciprian bridges business needs and data delivery, turning complex challenges into structured solutions. With experience across analytics, delivery, and stakeholder management, he keeps initiatives aligned, transparent, and focused on value.

What’s Holding You Back

Enterprises are drowning in data, but struggling to turn it into performance.

Decisions feel slower than they should

By the time you get clarity, the moment to act has already passed.

No consistent view of the business

Different systems, pipelines, and teams produce conflicting answers to the same questions.

Too much time spent fixing instead of analyzing

Teams spend more time reconciling data than using it to drive performance.

Limited trust in data and reporting

If numbers aren’t traceable through systems and transformations, they’re hard to rely on.

Systems that don’t truly work together

Integrations exist, but the underlying architecture is fragmented and inconsistent.

Data pipelines that are fragile and hard to evolve

Logic is scattered across tools and code, making changes slow, risky, and expensive.

No clear visibility into how data flows and breaks

When something goes wrong, it’s hard to detect, trace, and fix quickly.

Business logic spread across systems and people

Critical definitions live in spreadsheets, dashboards, and individual knowledge rather than in one place.

AI that never moves beyond experiments

Without structured, governed data and stable pipelines, production AI remains out of reach.

Growing pressure on unstable foundations

More data, faster reporting, and higher expectations built on systems that weren’t designed to support them.

How We Deliver Results

Data Platform Engineering

We design and build the foundation your data actually runs on.

  • Architectural design aligned with your systems and business processes
  • Data pipelines and transformations with clear, traceable logic
  • Integration across ERP, CRM, and operational systems
  • Scalable, maintainable data platform implementation
  • Data governance, observability, and reliability built in from the start

Metrics & Business Logic

We make your numbers consistent, defined, and trusted across the organization.

  • Standardized metric definitions across systems and teams
  • Centralized business logic embedded into data models
  • Alignment between finance, operations, and reporting
  • Removal of spreadsheet-driven and duplicated logic
  • Traceability from KPI back to source data

AI Enablement & Deployment

We make AI work on top of real, reliable data, not prototypes.

  • Preparing structured, governed data for AI use cases
  • Connecting AI models to production systems and workflows
  • Ensuring explainability and traceability of outputs
  • Moving from experiments to scalable deployment
  • Aligning AI use cases with real business decisions

Our Insights

Selected Articles. Check our blog for more.

Beyond Simple Automation: Building Safe Enterprise AI with Harnesses and Loops

Deploying autonomous AI agents directly onto enterprise ERPs and CRMs introduces security and operational risks. Discover how pairing dynamic agent loops with governance harnesses enables reliable, auditable, and adaptive AI workflows without sacrificing control.

AI Access Management: Three Governance Layers

AI introduces a new access management challenge: what the user can see, what the agent can see, and what the LLM can see are not the same thing. This article explores how AI governance can be integrated into an existing hub-and-domain data architecture through identity groups, secured schemas, and governed AI harnesses.

Hub & Domains: A Practical Data Operating Model

Domains bring data ownership closer to the business, but governance, access management, and shared standards remain difficult to decentralize. This article explores a Hub & Domains operating model that combines business ownership with centralized governance and platform controls.