AI & Data Science. Turn your data into decisions that move the business.
We build AI models, data pipelines, and analytics systems that help enterprises predict, automate, and grow.
Tell us about your projectTrusted by product companies at every stage.
Most AI projects fail. The ones that do not deliver disproportionate returns.
80.3%
of enterprise AI projects fail to deliver their promised business value — not due to technical gaps, but weak governance and undefined success metrics from the start.
Source: RAND Corporation, 2025
60%
of AI initiatives will be abandoned by end of 2026 because organizations lack the data infrastructure to move models from pilot to production.
Source: Gartner, 2025
5.8x
average ROI within 14 months for enterprises that successfully deploy AI into production.
Source: McKinsey Global AI Survey, 2025
With the right partner, your data stops being a liability and starts being an advantage.
Is AI and data science the right move for your business?
When to Consider AI & Data Science
Your decisions still rely on gut feeling.
Your data sits unused in spreadsheets.
Competitors are automating what you still do manually.
You need to predict, not just report.
Your product could be smarter with AI.
How AI and data science can transform your business
Your data is already telling you something. Here is how to make it actionable.
Uncover what human analysts miss
Data science identifies patterns, trends, and correlations in your data that human analysts would miss or find too slowly.
Enable predictions that scale
AI models enable more accurate predictions, faster decision-making, and automated processes that scale without adding headcount.
Turn data insight into action
From customer behavior to operational efficiency, data science and AI give you tools to act on what your data already knows.
Our AI and data science services
From raw data to production-ready AI. Here is what we build.
Cybersecurity Management Platform | USA
Our client
Cybersecurity Management Platform | USA
The Challenge
Complex dashboards and static reports required expert-level training to interpret.
The Solution
We integrated InProduct AI to provide a context-aware chat interface grounded in the platform's live logic.
The Result
100% self-serve data exploration, faster onboarding, and a significant drop in support tickets for data interpretation.
Our data science process
01
Analyze Current Data Strategy
We evaluate your existing data sources, processes, and tools to identify opportunities for improvement and define where AI can deliver the most value, fastest.
02
Data Collection & Engineering
We gather, clean, and structure data from your internal systems, third-party sources, and real-time streams. The quality of your model depends on the quality of this step.
03
Feature Engineering
We select and transform the data features that matter most for your use case. This is where domain expertise separates useful models from technically correct ones that miss the point.
04
Modeling
We build and train predictive models using machine learning and advanced algorithms, selecting approaches based on your data characteristics and business requirements, not just what is fashionable.
05
Validation
We test model accuracy, stress-test edge cases, and adjust parameters to ensure reliability before anything goes near production.
06
Deployment & Monitoring
We integrate the final model into your systems, set up monitoring for model drift, and establish retraining schedules. Delivery is not the end of the engagement, it is the beginning of it working.
See how we have helped our clients succeed.
Reffine: A Vision Transformed into a User-friendly Tool
Learn how Reffine Insights, developed in collaboration with Reffine, addresses the communication gap between marketing and technical teams. This innovative tool simplifies complex metrics, making it easier for non-technical staff to manage campaigns and websites efficiently, and in the result allow marketers to use budgets more consciously/save money.
“
Honestly, the outcome of working with Startup House far exceeded my expectations. Their authentic commitment to understanding our vision resulted in a user-friendly project, which clarified concepts we ourselves found challenging to structure.
“
J
Justyna Rafalska
Product Manager @ Reffine
Why enterprises choose us for AI and data science
We're a 50-person, cross-functional software development team based in Warsaw, Poland, building technology that delivers ROI, strong governance, and real adoption.
0 years
delivering digital products
est. 2016
0+
products shipped
web & mobile
0+
experts on board
Product & UX designers, Software engineers, AI specialists, PMs
0
client NPS
Praised for communication, pace and quality
0 continents
served
North America, South America, Europe, Asia, Africa
Frequently asked questions
What types of data can you work with?
How long does it take to build a data science model?
Can you integrate AI models into our existing systems?
What industries do you have experience in?
What is the difference between data science and data engineering?
What is the difference between data science and AI development?
Which industries use data science?
How do you ensure model accuracy over time?
Ready to Turn Your Data Into a Competitive Edge?
Tell us your data sources, the decisions you want to improve, and your timeline. We'll show you how to build it.
Book a 30-min CallA team trusted by best-in-class companies.
