Software Engineering · Artificial Intelligence

We build innovative products and AI systems

Nexigner is an international team of engineers and researchers. We design software products, build AI into them, and carry ideas all the way to production — not just to a prototype.

What we do

Four things we do well

We take ownership of the whole problem — from research and architecture through to running the system in production.

Product engineering

Web platforms, internal tools, APIs and services. We design the architecture around real load and ship in iterations, so you see working software early rather than a status report.

AI systems

Assistants, search over internal knowledge, document processing, classification and forecasting — built on large language models and classical ML, with evaluation baked in from the start.

Data & analytics

Collecting and cleaning up data, warehouses, pipelines and reporting — so the numbers your decisions rest on are actually worth resting on.

Integration & infrastructure

Connecting scattered services into one coherent system, plus CI/CD, containers and monitoring. Infrastructure you can reproduce and hand over.

How we work

Short cycles, working software

Every stage ends with something you can actually look at and judge.

1

Understand

We dig into the problem and its context, and agree up front on how we will know the result is good.

2

Design

Architecture, technology choices, estimates and risks — with a prototype wherever the answer isn't obvious.

3

Build

Iterations with working demos, code review and tests. Progress you can see, not progress you're told about.

4

Run

Launch, monitoring and continued development, with documentation so the system never depends on one person.

Our team

An international team, working as one

Nexigner is distributed across several countries and time zones. That is a deliberate choice: it lets us bring together engineers and researchers we would never have found in a single city, and it means work on your project doesn't stop when one office goes home.

English-first. Documentation, code and communication are in English by default, so nothing is lost in translation.
Overlapping hours. Our time zones are arranged so there is always a shared window for calls and quick decisions.
Written by default. Decisions live in documents and tickets rather than in someone's head — the standard remote teams have to meet.
One team, not a pool of contractors. The same people stay with your product from architecture to production.
Distributed international team
Technologies

Tools chosen for the job

Not the other way round.

PythonTypeScriptGo Django / DRFFastAPINode.js ReactVue PostgreSQLRedisClickHouse PyTorchLLMs / RAGVector databases DockerKubernetesCI/CD LinuxNginxObservability

Tell us about your project

Describe what you need and we'll come back with questions, an estimate and a proposed timeline. If the idea isn't fully shaped yet, we'll help shape it.