Data Science Services for Enterprise

Our team designs custom predictive analytics systems and offers end-to-end data science consulting to drive your business forward with AI.
Trusted by
Netherlands
E-commerce
80,000+

products across 8 markets.

Estonia
Fintech
€4.8M

in loan deals

Sweden
Digital media
Leader

in the local market.

USA
Legal
160x

faster document processing

Germany
Enterprise
200+

EU policies organised

UK
Fintech
500,000+

downloads on Google Play

UK
Green Mobility
50%

revenue growth within a year

Latvia
Fintech
€68M

financed in invoices

What Is Data Science?

Data science is the practice of turning raw data into something a business can act on — a forecast, a risk score, a recommendation. It pulls together statistics, machine learning development, and domain knowledge to find patterns in data that are too large or too messy to read by eye.

Our Data Science Services

As a dedicated data science company, we build solutions tailored to your business goals and stay by your side post-launch to ensure your models remain accurate and drift-free.
Predictive Analytics and Modeling

We build custom models on top of your historical data to deliver forward-looking insights, allowing you to make proactive, well-timed business decisions. These are standard data science services designed to yield highly predictable business outcomes.

Machine Learning Development

We design, train, and ship the models themselves — from picking the right algorithm for your data to getting a trained model that holds up on inputs it hasn't seen. This covers classic ML for structured data as well as deep learning for images, text, and signals.

MLOps

A model only earns its keep once it's running in production and staying accurate there. We set up the pipeline that handles deployment, versioning, monitoring, and automated retraining, so models don't quietly degrade after go-live.

Business Intelligence and Reporting

We turn datasets into interactive dashboards using Tableau, Power BI, or Looker. Our data analytics services provide leadership teams with a crystal-clear, real-time view of business performance, pinpointing exactly where to uncover new growth opportunities.

Data Science Consulting

Evaluate your current data infrastructure, map out a step-by-step AI strategy, and run a thorough feasibility study before you invest a single dollar in development. Our data science consulting addresses the tough questions early on: can ML actually solve this specific problem, and is your data mature enough to support it?

Custom Data Science Solutions

For when off-the-shelf software falls short. We engineer tailor-made systems for complex, niche use cases that out-of-the-box products simply cannot handle. These are custom data science solutions built completely from scratch to align with your unique operational workflows.

What We Build

Recommendation engines

Fraud and anomaly detection

Demand and sales forecasting

Churn
prediction

Document processing with NLP

Computer vision systems

Predictive
maintenance

Pricing
optimization

Industry Expertise

FinTech

We help financial institutions minimize risk and automate decision-making.

Real-time credit scoring for instant borrower assessment

Fraud detection systems to identify and block suspicious transactions

Predictive modeling for market trends and investment optimization

Healthcare

Our solutions help medical companies improve diagnostic accuracy.

Predictive diagnostics based on lab results and medical history

Computer vision for automated MRI and CT scan analysis

Secure data architectures fully compliant with HIPAA and GDPR

E-commerce

We turn fragmented customer data into personalized experiences.

Smart recommendation engines to increase average order value

Dynamic pricing models driven by real-time market demand

Churn prediction to identify at-risk buyers and trigger retention campaigns

Logistics

We optimize complex supply chains, helping logistics providers eliminate downtime.

Real-time route planning and dynamic delivery optimization

Demand forecasting for precise warehouse and inventory management

Predictive maintenance to catch vehicle issues before they cause delays

Legal

Our NLP models automate routine document workflows, freeing legal teams to focus on strategy.

Automated contract audits to instantly uncover hidden risks

Intelligent organization and structuring of large document repositories

Legal analytics to assess case success rates based on historical data

See real accuracy numbers in six weeks

A proof of concept on your own data, before you fund anything bigger.

FEATURED CASES
USA
Law practice
Liner Legal

160x faster document processing for a law firm

Achievements
Speeds up medical record processing 160x (from a week to 5–15 minutes)
Replaces 4 days of manual CRM reconciliation with full automation
Auto-surfaces referral opportunities as a new revenue stream
USA
Fintech

Trading platform with agentic AI for 100k+ investors

Achievements
Speeds up market data processing by 40%
Delivers 90% accuracy in predictive trading analysis
Cuts institutional operational costs by 35%
Sweden
Investment

AI agent system for a multi-billion-euro PE fund

Achievements
Cuts deal sourcing time by 80%
Analyzes 5,000+ investment opportunities in hours
Generates pitch decks in minutes

How We Work

Most machine learning projects follow the same process. What changes is the amount of work at each stage. In data science, preparing the data is often the biggest part of the project.

01

Discovery and framing

Together we define the business problem, the decision the model should support, and the metrics that will measure success. This stage also confirms whether machine learning is the right solution before development begins.

02

Data assessment and engineering

We review your data sources, improve data quality, and build reliable data pipelines. This stage often takes the longest because model performance depends on the quality and consistency of the underlying data.

03

Model design and PoC

Every project starts with a proof of concept built on your data. Within three to six weeks, you receive an initial model and measurable results to evaluate its potential before investing in production.

04

Evaluation and tuning

The model is tested against the success metrics defined earlier and refined until it performs reliably on unseen data.

05

Deployment and MLOps

Once validated, the model is deployed into production with automated versioning, monitoring, and retraining pipelines to ensure stable operation.

05

Monitoring and retraining

Model performance changes as data evolves. We continuously monitor production results and retrain the model whenever performance begins to decline.

Find out what your data can actually do

Why Us

Why Choose Our Data Science Company

Proven Track Record

As a subsidiary of Anadea, we’re backed by 25 years of expertise in software development. This legacy means proven workflows, reliable delivery, and the ability to tackle even the most complex challenges.

Expertise Across AI Domains

Our AI development company knows AI inside out – Machine Learning, Deep Learning, Computer Vision, and NLP. This lets us create solutions that actually solve your business problems.

Customized AI Solutions

We create solutions that automate tasks, improve workflows, and enhance customer experience. Everything is built to match your industry and deliver real, lasting results.

Support from Start to Finish

We guide you through every step, from planning to integration. Our artificial intelligence software development services include ongoing support to keep your AI solution growing with your business.

HOW WE WORK

Engagement and pricing

There is no flat price for an AI agent, because the work depends on your data and your goal. We use one of three models, picked to fit how defined your project already is.

Fixed-scope project

One defined workflow with a clear outcome. You get a set price and timeline before we start.Best when the task is well understood

Dedicated team

An engineering team works on your roadmap, billed by time. Scope can change as you learn.Best for evolving, long-run builds

Discovery first

Not sure what to build yet? We map the highest-value workflows, then quote the real project.Best when the goal is still open

What drives the cost

How ready your data is. Preparation is usually the largest single line item.
How many systems the agent connects to and how custom they are.
One agent or a multi-agent system, which adds orchestration work.
Compliance level required, such as GDPR or HIPAA controls.

FAQs