AI & ML Development Company · EonTech Poland

AI & ML development,
trained on your data.

EonTech is a Poland-based AI and ML development company delivering custom machine learning development services end to end. We design, train, and ship bespoke models on your data. Senior engineers own the full path — from the first data audit to a live, monitored model you keep for good, deployed inside your own cloud.

Start your project See AI delivery work
  • You own the weights and code
  • GDPR-compliant · ISO 27001
  • Your time zone · senior teams

What we build

Models built for one job

We do not ship demos. Each model is designed for a real task, trained by senior engineers, and proven on your own data.

  • 01 · Predictive

    Predictive & scoring models

    Churn, risk, demand and fraud scoring trained on your history. Each model ships with a metric you can audit, not a black box.

  • 02 · Language

    Fine-tuned LLMs & RAG

    We fine-tune open LLMs (large language models) and add retrieval over your own docs. The model answers in your domain, not the open web.

  • 03 · Vision

    Computer vision models

    Defect checks, document parsing and object tracking. We train vision models that run in real time, at the edge or in the cloud.

  • 04 · Recommenders

    Ranking & recommenders

    Search ranking and product recommenders tuned to your catalogue. We lift the metric that matters, then prove the gain on held-out data.

Why teams pick us

The commercial case for our machine learning development services

Six reasons technical and product leaders bring us in as their AI ML development services company — the ones we hear most often on scoping calls.

  • Trained on your data

    Not a wrapper over a public API. Our custom machine learning development services fine-tune on your own domain — the moat competitors cannot buy off the shelf.

  • You own everything

    Weights, code, pipeline, evaluation report. Portable deliverables you can run in your cloud from day one. No hidden runtime, no proprietary layer.

  • EU-grade data controls

    Poland-based, GDPR-native, ISO 27001-aligned working practices. Enterprise buyers get the paperwork their audit teams actually expect.

  • Metric-first delivery

    We agree the target — AUC, F1, recall, revenue lift — before a single model is trained. Every claim is a number you can re-run yourself.

  • Baseline in weeks

    A working model early, then real improvement. Our machine learning software development services avoid the six-month research trap that burns budgets and never ships.

  • Senior full-cycle team

    The same engineers who deliver our custom software development handle data, training, serving, and MLOps. One AI and machine learning development company, one accountable team.

Trained, not wrapped

Your data is the moat

A thin wrapper around a public API is not an edge. A model trained on your data is. We treat your data as the asset it is. It stays inside EU-grade controls. We never share it across clients.

You leave with open, portable deliverables. Run them in your cloud or ours. There is no lock-in and no hidden runtime you cannot see.

  • Trained model weights
  • Full training code
  • The serving pipeline
  • An evaluation report
# custom model · trained on your data$ eontech train --task scoring› dataset prepared · 212k rows · GDPR-clean› epoch 18/18 · val_auc 0.93 · loss 0.071› held-out check · no drift · passed✓ weights packaged · you own them✓ served behind your private API

How a model ships

Six stages, one owner

No account-manager buffer. One senior team carries your model from the first question to a live, watched service.

  1. Scope

    We map the use case to one measurable target. You sign off on the metric before any model is built.

  2. Data

    We audit, clean and label your data under GDPR rules. Good inputs decide the result, so we start here.

  3. Train

    We pick the architecture, train it, and tune it. We try simple baselines first, then go deeper only if it pays.

  4. Evaluate

    We score against held-out data and edge cases. Every claim is backed by a number you can re-run yourself.

  5. Deploy

    We ship the model behind an API you own. It runs in your cloud or ours, under EU-grade controls.

  6. Monitor

    We watch accuracy as live data drifts. When the score slips, we retrain. The model stays sharp.

What we ship

Machine learning application development services, by shape

Six of the concrete builds our AI and machine learning development company delivers most often. Each one is a real system, not a lab experiment.

  • Fraud & risk scoring

    Real-time scoring on transactions, KYC signals, and behavioural data. Explainable outputs for reviewers, not opaque probabilities.

  • Demand & inventory forecasting

    Time-series models on your sales history, weather, promos, and events. Cut stock-outs and overstock at the same time.

  • Document intelligence & OCR

    Extract structured fields from invoices, contracts, medical forms, and back-office PDFs — with a human-in-the-loop review UI.

  • RAG over your knowledge base

    Retrieval-augmented generation grounded in your own docs, SharePoint, tickets, and product data. Answers cite the source paragraph.

  • Personalisation & ranking

    Search ranking and product recommenders tuned to your catalogue and users. We prove the lift on held-out data before rollout.

  • Visual QA & defect detection

    Vision models for manufacturing lines, medical imagery, or shelf audits. Runs at the edge or in the cloud, wired into your existing MES/ERP.

Industry relevance

Domains our engineers already speak

Applied ML lives inside a workflow, not on top of it. Our custom AI ML software development services span the industries where EonTech has been shipping for years.

  • Fintech & payments

    Fraud, credit risk, AML alert triage, and treasury forecasting. Auditable model artefacts for regulator reviews.

  • E-commerce & retail

    Personalisation, ranking, demand planning, and returns fraud. Machine learning application development services that plug into headless commerce stacks.

  • Logistics & supply chain

    ETA prediction, route optimisation, damage detection, and warehouse robotics assist. Models that respect latency budgets on the floor.

  • Healthtech & medtech

    Clinical NLP, imaging triage, and workflow prediction. PII discipline, HL7/FHIR-aware pipelines, strict change control.

  • SaaS & product analytics

    Churn scoring, upsell propensity, and in-product recommendations. Models embedded in the app, not stranded in a data warehouse.

  • Manufacturing & industry

    Predictive maintenance, quality inspection, and yield optimisation. Vision plus time-series, deployed at the plant edge.

Trust & compliance

Signals procurement checks for

The paperwork is not the exciting part, but it is what separates a calm engagement from an audit-flagged one. Baseline standards for our AI and ML development services.

  • GDPR by default

    As an EU-based AI and machine learning development company, our contracts, DPAs, and SCCs ship ready to sign. Data residency options in EU regions.

  • Model IP is yours

    Weights, checkpoints, training code, evaluation notebooks — all assigned to you in the MSA. No proprietary wrapper stands between you and the artefact.

  • Data isolation

    We never train one client's model on another's data. Access is least-privilege, revoked same-day at rolloff, and audited on your cadence.

  • Reproducible training

    Version-pinned data, code, hyperparameters, and seeds. Any training run can be reproduced from the evaluation report your team keeps.

  • Responsible AI review

    Bias, fairness, and safety checks scoped per use case. High-risk EU AI Act categories get the assessments and documentation the regulation expects.

  • Production MLOps

    Drift monitoring, shadow deployments, canary rollouts, and rollback. The model stays sharp after ship, not just at handoff.

Common questions

Straight answers

The things CTOs and founders ask us first. No spin, just how we work.

  • What does an AI ML development company like EonTech actually deliver?

    A trained model, the training code, the serving pipeline, and an evaluation report — plus the MLOps to keep it running. Our custom AI ML software development services cover the full path from raw data to a live, monitored API in your cloud. You do not leave with a slide deck; you leave with a system.

  • Do we own the model?

    Yes. You keep the weights, the training code and the pipeline. You can run it anywhere, with no lock-in to us. That ownership is written into the MSA, not a footnote.

  • What if we have little data?

    We start with a baseline and open models. Then we add your data through fine-tuning. Small sets can still go far, especially with transfer learning, synthetic augmentation, and retrieval-augmented generation over your existing knowledge base.

  • How is our data handled?

    It stays inside EU-grade controls. We never train one client's model on another client's data. GDPR is the floor, and our machine learning software development services support customer-managed keys and EU-only data residency when the use case requires it.

  • When do we see results?

    We aim for a working baseline in weeks, not months. You see a real number early, then we improve from there. Long research spirals with no shipped artefact are how AI budgets die — we do not run projects that way.

  • How do you compare with machine learning development services in USA or India-based providers?

    For EU and UK clients, a Poland-based nearshore AI ML development company gives full working-day overlap and one legal jurisdiction (EU/GDPR) instead of cross-border data flows. Rates sit between machine learning development services in India and typical machine learning development services in USA pricing — with senior seniority closer to the US bracket. For US clients we support US East Coast overlap; some teams prefer this shape to machine learning development services in London for the cost delta alone.

  • Do you offer ai and machine learning development services USA clients can contract with easily?

    Yes. We contract in USD or EUR under US-friendly MSAs, support US East Coast working-hour overlap, and route data through EU regions or your own AWS/GCP/Azure accounts. Many US buyers use us as their AI and machine learning development company for cost-efficient senior capacity without giving up EU data-protection guarantees.

  • Can you build a machine learning application, not just a model?

    Yes — that is the norm. Our machine learning application development services bundle the model with the app around it: ingestion, feature store, serving API, admin surface, user-facing UI, and observability. As a full-cycle AI and ML development company we can also build the web or mobile product the model lives inside.

  • Which model families do you actually build?

    Predictive and scoring models (churn, risk, demand, fraud), fine-tuned LLMs with RAG, computer vision (defect, tracking, document parsing), ranking and recommender systems, time-series forecasting, and speech/audio models. We pick the simplest architecture that hits the metric — sophistication for its own sake is the fastest way to blow a budget.

  • How do you handle MLOps after launch?

    Every model ships with drift monitoring, evaluation dashboards, and a retrain plan. When live accuracy slips past the agreed threshold, retraining triggers on your schedule with your review — not autonomously in the dark. This is what separates real ai ml development services company work from a one-off proof of concept.

  • Do you cover EU AI Act and other regulatory work?

    Yes. For high-risk use cases we deliver the documentation the regulation expects — data governance, technical documentation, human oversight design, and post-market monitoring plans — as part of the engagement, not as a separate consultancy contract.

  • Which industries do you have the most depth in?

    Fintech, e-commerce, logistics, healthtech, SaaS, and manufacturing. Our ai and machine learning development company has shipped for founders and CTOs across these domains, so onboarding does not start from a glossary.

  • How does pricing work?

    Time-and-materials with an agreed monthly rate per role and seniority, or a fixed-scope quote for tightly defined proofs of value. No multi-year lock-ins, no bench charges. A written scope is free; anything beyond that is billed against the engagement.

Related practices

Where AI/ML sits in the wider stack

Talk to an engineer

Ready to build your model?

Tell us the use case and the metric you care about. We reply with an honest scope. No sales buffer, just engineers.

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