Unlock your business potential with AI-driven solutions - practical, reliable, and tailored to your industry
We design and deliver applied machine learning and data science use cases that solve real business challenges. From predictive analytics to intelligent automation and agentic systems, we help organizations turn AI into measurable impact.
Why AI?
Most companies struggle to unlock insights from their data and to scale intelligent solutions. Occasional experiments, disconnected notebooks, and one-off pilots rarely translate into business outcomes and fail to deliver consistent ROI.
Our solutions cover a broad spectrum of AI and ML applications in business - from analytics and forecasting to automation and optimization, including but not limited to:
Smart analytics
uncover hidden patterns in customer behavior and operations
Demand forecasting
anticipate sales, inventory needs, or hospital resource usage
Risk and fraud detection
identify anomalies in transactions before they become losses
Churn and retention models
predict customer attrition and trigger timely interventions
Operational optimization
from predictive maintenance in manufacturing to workforce planning in services
We also design pipelines, governance, and monitoring around these scenarios so they scale across teams and markets, ensuring your AI initiatives consistently drive measurable outcomes.
See more practical AI stories on our blog.
Why us?
We specialize in delivering AI and ML systems that matter - in industries where scale, compliance, and efficiency are non‑negotiable:
Financial services
credit risk scoring, transaction categorization, governed ML pipelines
Retail & e‑commerce
personalization engines, recommender systems, real‑time analytics
Manufacturing
computer vision at the edge, fully integrated with central platforms
Healthcare
demand prediction and smart resource allocation
Our teams turn proof-of-concepts into production-ready systems by combining AI expertise with deep knowledge of cloud, security, and compliance. Whether migrating legacy platforms or enabling real-time insights, we ensure AI solutions are both technically robust and business-relevant.
Official partnerships with Azure, GCP, and Databricks give us direct access to emerging features and best practices. Our approach is simple: build solutions data scientists want to use and earn the trust of IT and compliance teams.
Core capabilities
- Predictive analytics and forecasting for sales, supply chain, and resource planning
- Fraud detection, risk scoring, and anomaly monitoring in finance and operations
- Customer experience optimization with churn prediction and personalized recommendations
- Computer vision for quality control, defect detection, and process automation
- Natural Language Processing for document classification, chatbots, and knowledge extraction
- Translate business requirements into data-driven AI solutions
- Build robust pipelines to collect, prepare, and process data for models
- Deploy solutions into production systems where they generate measurable value
- Ensure solutions integrate with ERP, CRM, or custom business applications
- Enable both batch and real-time inference, optimized for performance and cost
- Support edge deployments for scenarios such as manufacturing or IoT
- Embed monitoring, retraining triggers, and quality checks by design
- Ensure compliance through traceability, lineage, and secure access controls
- Provide audit-ready documentation and risk management for regulated industries
- Balance innovation with FinOps-driven cost efficiency
- Create reusable assets (features, pipelines, datasets) across use cases
- Provide training, playbooks, and best practices to make AI part of everyday business
Reference tech stack
Engagement model
Discovery & Assessment (2–4 weeks)
identify the most impactful AI use cases, assess current landscape
Proof of Value / MVP (4–8 weeks)
deliver an end-to-end business case that includes data pipelines, model serving, and monitoring
Scale‑out (ongoing)
expand to multiple domains, integrate across business units, reinforce governance
Operate & Optimize
managed service with SLAs, FinOps controls, and continuous improvement
Deliverables: solution architectures, infrastructure‑as‑code, runbooks, dashboards, training, and a roadmap aligned to business goals.
Benefits
Revenue growth
increase sales through personalization, recommendations, and better demand planning
Cost savings
reduce waste, optimize inventory, and streamline operations
Risk reduction
prevent fraud, minimize downtime, and strengthen compliance
Customer loyalty
enhance satisfaction and retention with tailored experiences
Faster decisions
empower leaders with predictive insights and real-time analytics
Innovation at scale
reuse AI assets across domains and accelerate digital transformation
Selected case highlights
FAQs
Typically within weeks - our Proof of Value phase delivers a working solution to a real use case, not just a prototype.
We productionize existing work, integrating it into pipelines, dashboards, and decision systems so it generates continuous business impact.
Not if done right. With FinOps practices, clear governance, and phased rollouts, we make AI adoption cost-efficient, transparent, and low-risk.
We design every solution with traceability, access control, and audit readiness from day one - critical for regulated industries.
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Questions? Let’s talk.
Michał Lutyński
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