Applied AI engineering studio · UAE · US · Europe

AI Agents, RAG and Computer Vision for Business Workflows

We identify high-value AI use cases, prototype on real data, and deploy production-grade systems integrated with your tools and infrastructure.

Prototype in 2–3 weeks
Secure cloud or on-prem
Direct access to senior engineers
Production AI system
Prod
Company data
Docs · DBs · APIs · Images
AI layer
RAG · Agents · Computer Vision
Business tools
CRM · ERP · Internal tools
Control
Human review · audit logs
Experience

Built AI Across Enterprise, Startups and Research

Selected AI systems our engineers have shipped to production.

Logos reflect selected client, academic and prior-team work

AI Engineering Services

Agents, RAG, computer vision and secure deployment — built into real business workflows.

All services
Our Process

How We Build AI Agents

Free discovery call and proof of concept before making any commitment

01

Initial request

30 minutes • No commitment

You describe the workflow, data or operational bottleneck you want to improve with AI.

02

Technical discovery

2-3 weeks • Real data

We analyze the use case, data sources, integrations, risks and expected business value.

03

Prototype on real data

Seamless setup • No downtime

We build a working prototype in 2–3 weeks using your actual documents, databases or workflow examples.

04

Production integration

Real users • Real results

We connect the AI agent to your systems, add permissions, logging, monitoring and human review where needed.

05

Support and iteration

24/7 monitoring • ROI in 4-6 months

We monitor performance, improve quality and extend the system as new data and workflows appear.

Partnering with Leading Technologies

Python
PyTorch
OpenAI
Anthropic
Hugging Face
Docker
Kubernetes
AWS
PostgreSQL
FastAPI
Airflow
Python
PyTorch
OpenAI
Anthropic
Hugging Face
Docker
Kubernetes
AWS
PostgreSQL
FastAPI
Airflow

Success Stories

Results Speak Louder

80+

Automation Projects Deployed

30+

Active Clients in the UAE & USA

5+

Years of Experience in AI Automation

Why Companies Work With

Stemar
01

Production-first engineering

We design AI agents around reliability, observability, permissions, evaluation and integration from day one.

02

Prototype in 2–3 weeks

We validate the use case on real data before scaling into full production.

03

Secure deployment options

We support private cloud and on-premise AI deployment when sensitive data cannot leave your environment.

04

Senior architecture, lean delivery

You work directly with AI architects, not layers of account managers.

Clutch Top AI Company

Industries

FinTech

Industrial & Construction

LegalTech

E-commerce

B2B SaaS & Software Agencies

We craft seamless AI experiences — far beyond basic chatbots
Savva Meitis - Art Director

Savva Meitis

Art Director

TESTIMONIALS

Hear From Our Clients

The AI voice agents completely transformed how we scale support. We went from overwhelmed teams working unsustainable hours to a system that handles thousands of calls flawlessly while our agents focus on what truly matters. The 75% cost reduction let us reinvest in product development, and customers actually prefer the instant response over waiting in queue. It's not just automation—it's better service.

Sarah Mitchell

VP of Customer Success

Before this system, our staff lost hours every week hunting for policies buried in email chains or outdated file servers. Now they get instant, accurate answers in seconds. The 60% drop in support requests freed our administrative team to focus on patient care, and I'm confident every clinic is following the same protocols. It's made us more efficient and safer.

Dr. James Rodriguez

Chief Medical Officer

Manual KYC processing was our biggest growth bottleneck. Processing Arabic and English documents took days and created compliance anxiety. Now onboarding happens in hours with 98% accuracy, and our ERP integration means zero duplicate entry. We've doubled our customer acquisition rate without adding headcount. This system paid for itself in the first month

Noor Al-Hashimi

Director of Operations

Our sales team couldn't keep up with inquiry volume across web, WhatsApp, and SMS. Leads went cold before we even responded. The AI chatbot changed everything—1,200 conversations handled automatically each month, qualified leads delivered instantly, and 28% more engagement. Our conversion rates are up because we're finally responding at the speed customers expect

Marcus Thompson

Head of Sales

Meet Our AI Experts

Yaroslav Stepanov

Yaroslav Stepanov

Co-Founder & Business Development

Dmitrii Martynov

Dmitrii Martynov

Co-Founder & AI Architect

Murad Dzhamavov

Murad Dzhamavov

AI Engineer

Stacy Tkacheva

Stacy Tkacheva

Client Success Manager

About Stemar

Trusted by forward-thinking companies

We partner with global brands and fast-moving startups to deliver measurable ROI through intelligent automation. Our team specializes in building custom AI solutions that integrate seamlessly with your existing workflows.

What We Deliver

  • Enterprise-grade AI agents

  • 24/7 automated customer support

  • Custom ML pipelines

  • Rapid prototyping & deployment

FAQ

1. What is an AI agent?

An AI agent is a system that can use tools, retrieve information, follow business rules and execute multi-step workflows. Unlike a basic chatbot, it is connected to your data, systems and operational logic.

2. How much does AI agent development cost?

Most AI agent prototypes start from $10,000–$25,000. Production systems with integrations, permissions, monitoring and evaluation usually start from $25,000+ depending on scope.

3. How long does it take to build an AI agent?

A focused prototype usually takes 2–3 weeks. A production-ready AI agent integrated with internal systems usually takes 6–12 weeks.

4. Can you deploy AI agents on-premise?

Yes. We can deploy AI systems on private cloud or on-premise infrastructure when security, compliance or data control require it.

5. What is the difference between an AI agent and a RAG system?

A RAG system retrieves answers from company knowledge. An AI agent can use RAG as one capability, but can also call tools, validate data, trigger workflows and interact with business systems.

6. Do you support AI systems after launch?

Yes. We provide post-launch support, monitoring, quality improvements and feature development.

7. Can you work as a white-label AI engineering partner?

Yes. We can work behind the scenes with software agencies and product teams that need AI delivery without hiring a full AI engineering team.

Contact

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