---
title: About Us — Zentavor
description: Zentavor is an applied-AI engineering partner for large enterprises: 60+ senior engineers who take AI agents, ML systems and data platforms from diagnosis to production.
canonical: https://zentavor.com/about.html
---

# About Us — Zentavor

> Zentavor is an applied-AI engineering partner for large enterprises: 60+ senior engineers who take AI agents, ML systems and data platforms from diagnosis to production.

The team responsible for your results

Zentavor is an applied-AI engineering partner for large enterprises: 60+ senior engineers who take AI agents, ML systems and data platforms from diagnosis to production
Talk to usView our cases →
Dozens of production projects · 5+ years enterprise delivery · 60+ senior engineers
The gap

## Why most AI never ships

Everyone can demo AI. Far fewer get it running in a real business: reliably, securely, owned
Everyone can demo AI. Far fewer can ship it
Illustrative · reach production
Typical AI effortfew
With Zentavormost
-
Fragmented data & legacy ITstall initiatives before a model is even useful.
-
Junior benches & offshore handoffslose the context between a PoC and production.
-
PoC theater without governancedemos that can't pass an enterprise review board.
We're built the opposite way: senior-only, end-to-end, governed from day one.
How we work

## How we get there. Every time

ExperimentProduction
Diagnostics
Map data, systems and the real workflow; define the metric to move.
Roles
Solution architects · Data engineers · Product
Outcome
A data/workflow map, the target metric, a go/no-go.
Solution design
Architecture, scope and a realistic delivery plan, costs included.
Roles
Solution architects · ML/LLM · Product
Outcome
Architecture, scope, delivery plan & cost.
Development
Senior engineers build the agents / ML / data platform, in your stack.
Roles
ML/LLM engineers · Data engineers · BI
Outcome
Working agents/ML/platform in your stack.
Testing & integration
Evaluation, security, human-in-the-loop, wired into real systems.
Roles
ML/LLM · Architects · Security
Outcome
An evaluated, secured, integrated system.
Launch & support
Production rollout, observability and long-term ownership.
Roles
Data engineers · Architects · Delivery
Outcome
In production, observed, owned.
Leadership

## The people accountable for the outcome

Senior operators across strategy, engineering, delivery and compliance: the leaders who own your programme end to end, backed by a senior-only bench
60+
Engineers
100%
Senior

Sergey Butenko

Chief Business Development Officer

Alexander Gaivoronsky

Chief Technology Officer

Aleksei Zotov

Chief AI Officer

Alexander Perepechaev

Chief Operating Officer

Dmitry Nekrasov

Head of Delivery

Yuri Zolotukhin

Chief Marketing Officer

Nikita Lukoianov

Chief Legal Officer · UAE Office Manager

Ekaterina Fomina

Lead of Operations

Grant Nazaryan

Business Development · Central Asia
Engagement

## Two ways to work with us

Own the outcome end to end, or add senior firepower to a team you already run

End-to-End Engineering

We own the work from discovery through production and support: architecture, build, integration, governance and the metric it has to move.
Best when
you want a partner accountable for the outcome, not just the code.

AI & Data Talent Outstaffing

Senior engineers embed directly in your team: your roadmap, your stack, our hands. They ramp fast on the hard parts.
Best when
you have the roadmap and need senior firepower that ramps fast.
Guardrails

## Enterprise-grade by default

The controls a CISO and a review board ask for, built in from the first commit, not bolted on before launch
-
SOC 2-track
-
EU AI Act-aligned
-
On-prem ready
-
Human-in-the-loop
-
No black boxes
-
No single-vendor lock-in
Transparent architecture, audit trails and human review by default, built to clear enterprise security and compliance reviews
Proof

## Where we create impact

Ranges from real engagements across the industries we know best. Exact figures depend on baseline and scope
Banking & Fintech
−20–40%
operational risk & manual work
Retail & E-commerce
+5–15%
revenue
Logistics & Operations
−10–25%
operational cost
Insurance
faster
claims & underwriting decisions
5+ years of enterprise delivery, dozens of production projects for international companies. Selected case studies available under NDA.
See the cases →
Dubai · Yerevan · Kuala Lumpur, clients across MENA · CIS · US
Let's talk

## Let's get your AI into production

Tell us your challenge. We'll propose the right mix of AI agents, ML and data platforms, and a realistic delivery plan
info@zentavor.ai
Name
Company
Email
Phone
+1US▾
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Contact Sales →
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