Home Services Case Studies About How We Work AI Audit Book a free call
About Jonix Software

We are not an AI consulting firm.
We are engineers who build and run production AI systems.

There's a meaningful difference. Consultants deliver recommendations. We deliver systems — and stay accountable for them working in production, not just in the presentation.

Our story

A decade of production engineering. Not a pivot to AI consulting.

Jonix Software is the culmination of a decade of production backend engineering — fintech platforms, brokerage infrastructure, document automation pipelines, and the RAG system we're most proud of: a financial intelligence platform processing 10 TB+ per week, running at 99.9% uptime for a US client under regulatory scrutiny. We formalized as Jonix Software in 2025 because the demand for AI systems that actually work in production was outpacing what any single consulting role could address.

We work with a small number of US clients at a time. That's intentional. Every client gets direct access to the senior engineer running the work — not an account manager, not a junior team, not a ticket queue. For larger-scope engagements, we bring in a trusted network of senior engineers who meet the same standards: production experience, documentation-first, no handoff surprises.

We don't do proofs of concept that become shelfware. Every engagement ends with a system your team uses, trusts, and can maintain after we've left — with full code ownership, documentation, and runbooks from day one.

By the numbers

Production engineering experience10 years
Data processed weekly (live)10 TB+
Production uptime99.9%
Active US deployments3
Revenue generated on platforms led$900K+
Engineer-hours saved via automation$500K
Valentyn Druzhynin — Founder, Jonix Software

Valentyn Druzhynin

Founder & Lead Engineer

The person behind the work

Hi, I'm Valentyn — the engineer who builds and runs every Jonix engagement.

I founded Jonix Software after a decade of building production backend and data systems — fintech platforms, brokerage infrastructure, document automation pipelines. I kept seeing the same pattern: companies spending significant budget on AI projects that worked in staging and collapsed on their real data. Jonix exists to fix that.

I work with a small number of US clients at a time — every client communicates directly with me, not through an account manager or a junior team. I own the outcome from scoping call to production handoff. For larger-scope engagements, I bring in trusted senior engineers I've worked with in production environments — people who build and document at the same standard I hold myself to.

I'm based in Miami (EST). If you want to talk through your situation, book 30 minutes — no pitch deck, just a technical conversation.

Our principles

Three principles we don't compromise on.

01

Measure before you ship.

Every system ships with evaluation infrastructure — RAGAS pipelines, golden test suites, regression coverage. You find out quality degraded from a dashboard. Not from users leaving.

02

Build for your data, not demo data.

We start every engagement with failure modes — not requirements. Real documents, real edge cases, real compliance constraints — before a line of code is written.

03

The team that builds it also runs it.

We don't throw systems over the fence. Observability, runbooks, and on-call accountability are deliverables — not afterthoughts. We stay accountable for the thing working in production.

Work directly with the engineers running the system.

No account managers. No junior teams. Every client gets direct access to the senior engineer doing the work.

Book a Free Scoping Call