AI that ships to production

From AI agents to enterprise data platforms. Designed, built and integrated into your real workflows by one senior engineering partner

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What an experienced partner changes
shorter time to production
lower operational workload
more predictable delivery & governance
measurable business outcomes, not demos
Market reality

Everyone wants AI.
Few get it into production

The gap is rarely the model. It is data, integration, engineering depth and governance. If any of this sounds familiar, you need a partner, not another experiment

Fragmented data & legacy IT slow every AI initiative to a crawl.

Shortage of engineers experienced in production‑grade AI.

Unpredictable timelines and scope creep on AI projects.

Hard to integrate AI into real workflows, security & governance.

Scaling AI quietly inflates operational cost without clear ROI.

Zentavor turns AI from isolated experiments into scalable, business‑critical systems.
Why Zentavor

Why enterprise teams trust us in production

Four arguments we bring to every CIO, CTO and Chief AI Officer

0+live systems

Production, not PoC

Cleared by enterprise review boards, not stuck in pilot.

0%transparent architecture

Enterprise‑grade by design

No black boxes, no single‑vendor lock‑in. Human‑in‑the‑loop by default.

0%audited ROI

Measurable ROI

Supplier‑spend recovery, A/B‑tested revenue lift. Every claim has a number.

0+engineers

Senior‑only team

No junior bench, no offshore handoff. Everyone named in the statement of work is hands‑on.

SOC 2‑track EU AI Act‑aligned On‑prem ready Human‑in‑the‑loop

AI Agents & Automation

support · sales · internal ops

ML & Recommendation Systems

personalization · forecasting · optimization

Data Platforms & Analytics

one source of truth · BI · data access
Products

Two platforms behind the work

Productized foundations we deploy on client engagements. Also available as standalone enterprise platforms

AI Agent Platform

Agent Platform

The foundation for your corporate AI ecosystem.

Build, train and orchestrate AI agents with the governance, observability and security an enterprise actually requires.

Agent orchestrationCompose multi‑step agents with tools, memory & guardrails.
Governance & observabilityTrace every decision, enforce policy, audit at scale.
Security & integrationsSSO, role‑based access and connectors to your stack.
Explore Agent Platform →
Agent Platform coreOrchestrator
Policy guardrailsGovernance & compliance
Support agentCustomer support
Sales agentLead & deal management
Ops agentOperations & monitoring
Tools & APIsIntegrations & infrastructure
AiDoc · Document Intelligence

AiDoc

From documents to decisions.

Turn unstructured documents into structured data and a conversational interface to your knowledge base, with sources cited, deployable on‑premise.

Documents → structured dataExtract entities, tables and fields from any format.
Conversational, source‑citedEvery answer links back to the exact source passage.
On‑premise & privateYour documents never leave your perimeter.
Explore AiDoc →
Question
Documentcontract.pdf
Structured
Answer
↳ contract §4.2, p.7
Cost orientation

A realistic budget in four clicks

Pick a project shape, scope and deployment. Get an indicative range, a team composition and a realistic duration, before the first call

Project shape
Scope
Deployment
Estimated range
from$50K → to$132K
Team composition
3 ML engineers + 1 project manager + 0.5 solution architect
Realistic duration
~ 12 weeks
Expected ROI / savings
payback in 6–12 months

Routes straight to a senior delivery lead · reply within 1 business day

How we work

Two ways to engage

End‑to‑end engineering

We own the outcome, start to finish

From discovery and PoC to production, integration and long‑term support. One accountable senior partner: predictable delivery, no surprises.

DiscoveryPoCProductionIntegrationLong‑term support
Weekly delivery every stream ships an increment, end‑to‑end, on cadence
Delivery lifecycle

Diagnostics

Audit your stack, scope the problem, define success metrics.

Solution design

Architecture blueprint, tooling selection, delivery roadmap.

Development

Iterative builds with weekly demos, zero‑surprise velocity.

Testing & integration

Load tests, A/B validation, seamless rollout into your systems.

Launch & support

Go‑live, monitoring dashboards, SLA‑backed ongoing partnership.

Industries

Where we create impact

Five years of enterprise delivery, concentrated in the sectors where data and AI move the bottom line

Banking & Fintech

−94% false-positive rate

Real-time fraud scoring · GenAI support (−33% per ticket)

Retail & E‑commerce

+5–15% revenue growth

Recommendation systems, demand forecast & pricing · 1 500+ stores

Energy

200% audited ROI

Patented procurement AI · Fortune 500 industrial group

Customer Service

−60% operator workload

Omnichannel AI operator across 5 channels · Swaze.ai

EdTech

90%+ screening accuracy

AI speech screening · 12 000+ students · Logopotam

Logistics & Operations

−10–25% operational cost

Incident & ETL agents · 85% incidents auto‑processed

Our expertise

Engineering stack

Production-grade tooling across LLM, ML, streaming and data platforms.

OpenAI
LLM / inference
PyTorch
deep learning
LangChain
orchestration
Kafka
streaming
Snowflake
warehouse
ClickHouse
OLAP
dbt
transform
Python
core language
TensorFlow
ML framework
Airflow
orchestration
PostgreSQL
OLTP database
Trino
query engine
Hugging Face
model hub
Kubernetes
infra / scaling
Let's talk

Let's build your next AI breakthrough

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

We typically reply within one business day.