AI strategy, systems and intelligence

AI Systems for Smarter Business Decisions

We design and build AI, machine learning and agentic systems that transform business data into intelligence, automation and growth.

AI implementation flow

From business data to working systems

Business data

AI reasoning layer

Business action

Decision intelligence

From scattered data to decisions your teams can trust.

01

Understand

Map hidden patterns across operational data, teams and customer signals.

Outcome

Spot revenue leaks, friction points and demand signals before they become reports.

02

Automate

Deploy governed agents across repeatable workflows and internal tools.

Outcome

Move repetitive work to agents with approvals, logs and clear oversight.

03

Decide

Give leaders clearer signals when timing, ownership and context matter.

Outcome

Surface the next best action with context, confidence and ownership.

Core capabilities

From strategy to deployed AI systems

We combine analytical rigor, engineering discipline and pragmatic product thinking to turn complex business data into usable AI infrastructure.

Data Understanding & Analysis

We help businesses understand their data, uncover patterns and turn raw information into actionable insights.

Data audits
Business intelligence
Customer behavior analysis
Dashboards and reporting
Data-driven decision support

AI & Machine Learning

We build predictive and intelligent systems that help companies forecast, classify, recommend and optimize.

Predictive analytics
Forecasting
Recommendation systems
Classification models
Natural language processing
Anomaly detection

Agentic AI & AI Agents

We design AI agents and copilots that can search, reason, retrieve information and support business workflows.

AI assistants
Business copilots
RAG systems
Semantic search
Knowledge base chat
Workflow automation

Custom AI Solutions

We create tailored AI systems around each company's unique processes, data and business goals.

Custom AI implementations
API integrations
Internal tools
AI-powered platforms
Automation workflows
Consulting and strategy

Industry focus

AI systems shaped around domain reality

Different industries require different controls, vocabularies and operational patterns. We design systems that respect how teams actually work.

Media & Publishing

Archive intelligence, editorial search and audience insight systems.

eCommerce

Forecasting, recommendations and customer behavior intelligence.

Healthcare

Workflow support, knowledge retrieval and operational analysis.

Legal

Document review, semantic search and internal knowledge copilots.

Finance

Risk signals, reporting automation and decision support systems.

Enterprise Knowledge

Secure copilots that turn internal knowledge into usable answers.

Customer Support

AI agents, routing intelligence and quality monitoring workflows.

Research & Education

Research discovery, learning tools and structured knowledge access.

Products and labs

Prototype fast, adapt deeply, deploy carefully

Our lab concepts are AI products, prototypes and custom solution patterns that can be tailored to client workflows, data environments and compliance needs.

Each product pattern is designed as a starting architecture: reusable enough to accelerate delivery, flexible enough to become a client-specific operating system for knowledge, analytics or automation.
LAB SYSTEMS

AI product patterns that become client-specific systems.

Prototypes, demos and reusable architectures are adapted into secure knowledge, analytics and automation platforms for each client.

AI Knowledge Chat

Semantic Search Engine

Business Intelligence Copilot

AI Knowledge Chat

Private knowledge assistants grounded in company documents, archives and operational data.

Semantic Search Engine

Search experiences that understand meaning, intent, entities and context across large collections.

Business Intelligence Copilot

Conversational analytics for dashboards, KPIs, forecasts and executive decision support.

Customer Support AI Agent

AI agents that retrieve answers, triage requests and escalate with traceable context.

News & Archive Intelligence

Systems for analyzing, classifying and extracting value from editorial and research archives.

How we work

A delivery model built for useful AI

AI initiatives succeed when they connect strategy, data, engineering and adoption. Our process keeps those threads visible from the first workshop through production optimization.

Operating model

From strategy to deployed AI systems.

Each phase converts uncertainty into a concrete artifact: decision logic, data readiness, system design, working software and measurable adoption.

01

Strategy

02

Build

03

Scale

01

Discover

Clarify business goals, data realities, decision points and implementation constraints.

Output

Business context

02

Analyze

Audit data sources, workflows, risks and measurable opportunities for AI impact.

Output

Data readiness

03

Design

Map the system architecture, model strategy, interfaces and evaluation framework.

Output

System blueprint

04

Build

Develop the AI workflow, integrations, dashboards, agents or internal tools.

Output

Working prototype

05

Deploy

Ship into the client's environment with monitoring, documentation and governance.

Output

Production release

06

Optimize

Measure performance, improve accuracy and expand automation where it creates value.

Output

Continuous improvement

Technology stack

Modern AI infrastructure, selected pragmatically

We choose tools based on the client's data, workflow and production requirements, with a bias toward observable, maintainable systems.

OpenAI
Anthropic
Python
FastAPI
Next.js
PostgreSQL
Vector Databases
RAG Architecture
LangGraph
LlamaIndex
Cloud Infrastructure
Docker

Use cases

High-value AI systems for real operational pressure

These example engagements show the kind of work we build: focused, measurable systems that support expert teams instead of replacing judgment.

AI-powered knowledge assistant for media archives

Editorial and research teams can ask questions across decades of material with source-grounded answers.

RAG architecture, entity extraction, semantic search and permissions-aware retrieval.

Predictive analytics for eCommerce sales

Operators gain demand forecasts, product signals and customer behavior insights for sharper planning.

Forecasting models, anomaly detection, cohort analysis and executive dashboards.

AI agent for internal business operations

Teams automate repetitive research, reporting and coordination tasks while keeping humans in control.

Agent workflows, tool calling, approvals, integrations and performance monitoring.

Start the conversation

Let's build your next AI system.

From strategy to implementation, we help businesses move from AI ideas to real working systems.

Start a Project

Contact

Tell us what you want AI to make possible

Share the business problem, the data environment or the product idea. We'll help identify the highest-leverage path from concept to working system.

Typical first engagements include opportunity mapping, data readiness reviews, proof-of-concept builds and production implementation roadmaps.

Offices

Operating in Europe and the United States

Regional contact points for client conversations, project coordination and commercial collaboration.

Europe Office

Kifisias Ave & Gounari 96
Marousi, 15341, Greece

+30 210 6000 901
Maps

US Office

332 S Michigan Ave
Chicago, IL 60604, United States

+1 (312) 761 4567
Maps