Engineered in Poland · Delivered worldwide
One senior team for the whole cycle — product engineering, cloud, and custom AI under a single contract. We take products from first commit to production scale, and train models on your data — never off-the-shelf wrappers.
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Capabilities
Senior engineers worldwide cover the full cycle — discovery, build, cloud and custom ML — so you ship faster without stitching three vendors together under three contracts.
We design, train and deploy proprietary models on your proprietary data — forecasting, document intelligence, computer vision, recommendation. You keep the weights, the pipeline and the IP, running inside your own cloud rather than a vendor's black box.
Discovery, architecture, build, QA and launch from one team — a production-grade MVP in weeks, not quarters.
Software developmentMove legacy systems to an observable, autoscaling architecture on AWS, GCP or Azure — staged for zero downtime.
Cloud & DevOpsA remote squad that works like your in-house team — your tools, your standups, and direct access to every engineer.
Dedicated teamsMost “AI partners” forward your prompts to someone else’s API and bill you per call. We train an open-weight model on your private corpus, prove it against the metric your business actually reports on, and deploy it inside your own cloud. What you’re looking at is the real config — versioned, reviewed, and yours to keep.
# trained on YOUR corpus — not a public API
model:
base: mistral-7b-instruct # open weights, you own the result
method: qlora # 4-bit, fits one A100
dataset:
source: s3://client-corpus/support
rows: 48_217
pii_redaction: true # before a single token is seen
training:
epochs: 3
eval_split: 0.1
target_metric: first_response_accuracy
deploy:
runtime: eontech-vpc / eu-central-1
handover: [weights, eval_report, audit_trail]
Your tickets, docs and logs flow into an isolated, EU-resident pipeline. Sensitive fields are redacted before a single token is trained on.
QLoRA on an open-weight model — Mistral, Llama, your pick. No third-party API in the loop, no prompts leaking to a vendor, no per-call lock-in.
A held-out eval split plus human review. We ship only when it beats your current baseline on the number your business actually tracks.
The model lives in your VPC, eu-central. You walk away with the weights, the eval report and a full audit trail — not a rented endpoint.
Fintech, healthtech, commerce, logistics. Every EonTech squad pairs senior engineering with the regulatory fluency and system context your sector demands — so the software we deliver worldwide understands your business, not just your backlog.
Fintech & Payments
Regulated money movement, shipped audit-ready.
Healthtech & Life Sciences
Sensitive data handled to clinical-grade standards.
E-commerce & Retail
Conversion-critical systems built for peak load.
Logistics & Supply Chain
Real-time operations from first mile to last.
One accountable team, one contract — GDPR-aligned delivery from senior engineers worldwide, working in your time zone.
Explore our workNo account-manager buffer, no junior hand-off. EonTech partners work directly with the senior team designing their software and training their models — and they keep the architecture when we are done.
They never behaved like a vendor taking orders. EonTech's engineers challenged our architecture, rebuilt the data model alongside us, then carried it all the way to production. The people writing the code are the people I talk to every morning in our own time zone — there's no account manager playing telephone in between.
We needed a hardened backend and a model trained on our own data — not an off-the-shelf wrapper. Getting both from one global engineering team meant zero finger-pointing, and senior engineers we could actually afford to keep on.
As a non-technical founder I braced for being sold fluff. Instead I got a squad that shipped our MVP in weeks and walked me through every trade-off in plain language. It felt like an internal team, not an outsourced one.
Insights
Engineering perspectives from our teams worldwide — owning your models, embedding distributed squads, and moving legacy estates to the cloud without the drama.
Learn what AI and machine learning mean, how they relate, their key differences, main types, uses, career paths, and ways to start learning.
Learn how cloud computing application development works, compare SaaS, PaaS, and IaaS, and see how cloud apps improve scale, security, and cost control.
Learn what a quantum AI platform is, how qubits support AI research, its uses, limits, and how to judge quantum trading claims.
Full-cycle software engineering and bespoke AI/ML, built by senior engineers worldwide under one contract. Send us the brief — we’ll come back with a delivery plan and a squad that works like part of your team.