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G-Tech

G-Tech: we build platforms that cannot afford downtime

We put together a team for your task, or take the whole project. Fintech, healthcare, industry: from a first working version to systems handling thousands of operations per second.

5+

years on the market

Fintech, healthcare, industry

50+

projects

Shipped to production, not to a demo

3 weeks

to find an engineer

From your request to their first day

93%

extend the contract

After their first project with us

Principles

How we work

Four things we do on every project, whatever the budget, the industry or the engagement model.

1

We break the task into pieces and agree on what goes into the first version

2

We pick the numbers we will measure the result by, before we start

3

We staff the project with engineers who have solved this kind of problem before

4

We call the job done when the system is running in your production

A pilot can start in two weeks: some of the components are already written and running on other projects
Services

What we do

Six areas of work. Take one, DevOps for instance. Or hand over the whole product, from the first user interviews to post-launch support.

AI and machine learning

LLM assistants, search across internal documents, forecasts built on your data

MLLLMRAG
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DevOps and cloud

CI/CD, Kubernetes, monitoring. Releases stop being an event everyone dreads

K8sAWSYandexCloud
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Staff augmentation

Engineers who join your team. Matched to your stack, on the project in 2–3 weeks

OutstaffTeamSenior
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Custom development

We take the whole product: analysis, design, build, launch and support

DevelopmentMVPEnterprise
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Fintech

Payment services, white-label platforms, bank integrations and customer verification

FinTechBankingPayments
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Healthcare

Telemedicine, medical information systems, patient data protection

MedTechHealthcareHIPAA
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Case studies

Projects we are allowed to talk about

Fintech, healthcare, construction, crypto exchanges. For each project we show what changed in numbers. The rest is under NDA.

Fintech
GoK8s

Payment platform for a bank

The bank needed a payment system that holds more than 10,000 operations per second

Split into microservices on Kubernetes, with events passing between them

10K+

ops/sec

99.99%

availability

Healthcare
ReactNode.js

Telemedicine platform

Video appointments with a doctor, plus medical data rules you cannot work around

WebRTC with end-to-end encryption, wired into the clinic's medical records system

50K+

consultations

4.9

visit rating

Construction
PythonIoT

Construction site monitoring

Managers could not see what was happening on site until they drove there themselves

Sensors on site, an app for foremen, and a model that flags the risk of downtime in advance

-30%

downtime

+25%

output

Crypto
RustRedis

Crypto exchange

The matching engine had to pair opposing orders in under a millisecond

Written in Rust, with state kept as an event stream, so any moment of trading can be replayed

<1ms

response time

100K+

orders/sec

How a project runs

What happens after the first call

Four stages. At each one you know who is responsible, what you get at the end of it, and by when.

1

We dig into the task

We sit down together and take the task apart: what comes first, where the risks are, which numbers will tell us it worked. You get a list of work items and dates.

2

We put the team together

We pick engineers who match your stack and your industry. We agree on response times, what the reports look like, and who makes the calls.

3

We build and ship

Short iterations, with testing and deployment at every step. Once a week we show what is finished and re-check priorities.

4

We hand over and stay reachable

We write the documentation, train your team, and leave you the contact of an on-call engineer for when something breaks.

Capabilities

What we are good at

Four areas where we have engineers who have built this before and seen how it behaves under load.

Architecture

Splitting a monolith into services so it gets easier to maintain, not more expensive.

AI and machine learning

LLM assistants, search across internal documents, forecasting models and keeping them running.

DevOps and reliability

Kubernetes, automated deployment, monitoring. So that a release stops being an event.

Project management

Deadlines, reporting, pilot launches and growing the team without losing quality.

Security

How we handle your data

In fintech and healthcare a data leak can cost the client their licence. So here is what we do by default, before the contract is even signed.

NDA before the first file

We sign the non-disclosure agreement before you send us a single document.

Encryption by default

Data is encrypted in transit and at rest. We design for it from the start rather than bolting it on later.

Access log

Who touched which data and when is recorded and kept. On sensitive systems this is mandatory.

Ready for an audit

Our processes follow SOC 2 and ISO 27001. We have not been formally certified and we do not claim to be.

We can work inside your perimeter: on your servers, with your credentials and under your security policies
Next step

Tell us about your task

Write us a couple of paragraphs about the task. We will read it, come back with questions and suggest how to approach it

We call you back within a day
You talk to an architect, not a sales manager
We sign the NDA before you send anything
Ways to work with us: fixed price, time and materials, or a dedicated team. We match the format to the task, the timeline and the budget.