AI Consulting Services
The process starts with identifying the business value of AI/ML, assessing feasibility and data readiness, selecting the right technology stack, and building a clear roadmap from idea to production.
AI/ML Development Services
We build production-ready AI/ML solutions that automate processes, improve products, and turn data into business value.
80
Certified Engineers
15
Countries with active clients
12+
Avg Dev Experience
AI/ML Development services that Delivers Business Results
AI/ML development starts with the business problem, the expected outcome, and the available data rather than a particular model or trending technology. We identify where AI/ML can bring real value and build solutions that become part of actual products and business processes instead of remaining standalone demos. Our team works with classical ML, NLP, computer vision, GenAI/LLMs, RAG, and AI agents. We assess data readiness, integrate AI/ML into existing products, workflows, and IT/data environments, and ensure production readiness, monitoring, and ongoing optimization. We do not apply the same technology to every challenge. The right AI/ML approach depends on the specific business case, available data, and requirements.
Right AI for the Use Case
We select ML, GenAI/LLMs, RAG, AI agents, NLP, computer vision, or a combination of these based on the specific task, data, and requirements.
From PoC to Production
We turn AI/ML concepts and prototypes into integrated, production-ready solutions with controlled quality, performance, and scalability.
Integrated AI Ecosystem
We integrate AI/ML with products, workflows, databases, knowledge bases, APIs, and enterprise systems.
Companies That Trust Us
Production AI Expertise
Engineers, data scientists, and MLOps specialists with hands-on experience in production AI.
No Hiring Delays
Access to an established team without the cost of hiring and administration.
Fast Scaling
Add 5+ specialists to your team within 1–2 weeks.
Our AI and ML
Development Services
From AI strategy and system development through modernization and code remediation to adding AI/ML expertise to your team.
LLM Development Services
LLM-powered solutions are developed and integrated to work with enterprise knowledge, documents, content, and business processes, covering everything from RAG and copilots to AI agents and production-ready GenAI systems.
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AI Modernization
Existing products, systems, and workflows are modernized with AI/ML by identifying opportunities for AI adoption, upgrading the architecture and data foundation, and introducing new intelligent capabilities without rebuilding the entire product.
AI Development Services
Custom AI/ML solutions for analytics, automation, and intelligent decision-making, seamlessly integrated into your products, systems, and workflows.
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AI Talent
AI/ML, data, and related specialists can join your in-house team to launch new AI initiatives, speed up development, or fill gaps in specialized expertise.
AI Code Remediation
AI-generated and AI-assisted code is audited and remediated to reduce risks, improve security, and prepare it for production.
Exploring the potential of AI/ML? We’ll help you identify the right use case, choose the right technologies, and assess your data readiness.
AI/ML Development
Across Industries
We don’t rely on one-size-fits-all approaches. Every AI/ML solution is built around the specific data, processes, and requirements of your industry.
FinTech
Businesses can use AI/ML to handle documents and data more efficiently, detect fraud, assess risk, and forecast financial outcomes, reducing both decision time and operational risk.
Healthcare
AI/ML solutions support medical data analysis, administrative process automation, and clinical workflows, improving operational efficiency and quality of service.
MedTech
Machine learning and computer vision are applied to medical device data, imaging, and diagnostic support, bringing AI capabilities into digital health products.
Logistics & Transportation
AI/ML supports route optimization, demand forecasting, and predictive maintenance, helping reduce costs and improve resource management.
Insurance
Claims and document processing are automated, while AI/ML supports risk assessment, fraud detection, and underwriting, reducing manual work and decision-making time.
Retail
AI solutions for personalization, recommendations, and demand forecasting improve the customer experience and make sales operations more effective.
EdTech
AI enables personalized learning, content generation, knowledge assistance, and the automation of educational processes, adapting the learning experience to individual user needs.
Travel
AI/ML is applied to personalized recommendations, demand forecasting, customer support, and workflow automation, improving the traveler experience and operational efficiency.
Advantages
Why Companies Choose
ZentixSoft for AI/ML Development
Beyond developing AI/ML models, we act as a technology partner that turns concepts into measurable business results.
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Deep Engineering Expertise
We design and build complex digital systems with robust architectures engineered for high workloads and long-term scalability.
A Holistic Approach
Instead of having disparate elements, we create a single, integrated technology ecosystem in which CRM, ERP, payments, analytics, and external APIs all coexist.
Architecture Ready for Growth
With our API-first, modular approach, new capabilities can be added with less effort, systems can scale to meet demand, and products can be adapted for different markets.
Long-Term Technology Partnership
Post-launch, we are still there to provide support, ensuring the product remains stable as we see to its ongoing development and long-term technical direction.
Experience in Complex Industries
Reliability and sound architecture are a must in the high-load settings of FinTech and HealthTech. We have direct experience in these and other similarly demanding environments.
AI/ML Development services
for Business Growth
We choose the AI/ML approach that fits your specific use case rather than applying technology for technology’s sake.
Predictive AI & Machine Learning
We use data to forecast demand, risks, and user behavior, giving businesses the information they need to make timely, well-informed decisions.
Generative AI & LLMs
We turn knowledge bases into AI tools for finding information, creating content, and handling complex processes.
AI Agents & Intelligent Automation
AI takes over complex workflows and routine tasks, reducing the amount of manual work involved.
Computer Vision
We automate image and video analysis for inspection, recognition, monitoring, and other visual tasks, making these processes faster and more accurate.
NLP & Intelligent Document Processing
We automate text and document processing, information extraction, and classification, reducing the manual effort required to handle large volumes of unstructured data.
AI-Powered Analytics & Recommendations
We generate personalized recommendations and actionable insights from data to support better business decisions.
Ready to move your AI project forward? We’ll define the right path from an idea or PoC to production and scaling.
Our team
The AI/ML Experts
Behind Your Product
Our team brings together certified Middle+ and Senior specialists with expertise in AI/ML, data, and cloud technologies. We build reliable AI solutions ready to be implemented in your business.
CEOAgness
HRDYevhenii
CTOAndrew
Project ManagerOlha
Full Stack DeveloperDmytro
Full Stack DeveloperMarko
Team LeadYehor
Content LeadMaksim
Project ManagerYuliia
BDMPavlo
Project ManagerOlga
Full Stack DeveloperYurii
Full Stack DeveloperVitalii
Team Lead | DevOpsOleg
Backend DeveloperMaksym
Tech LeadOleg
Full Stack DeveloperOleksandr
QA EngineerElina
RecruiterOksana
CSOOlga
CMOSolomiya
Our AI and ML Development Process
Our approach starts with the business case and data, not the model, to build production-ready AI/ML solutions with measurable outcomes.
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Discovery & Use Case Validation
Before any development work commences, we will have analyzed the data, processes, and business objectives to zero in on viable AI/ML use cases and confirm their feasibility, thereby mitigating investment risk.
02
Data Readiness & AI Strategy
We also make sure the data is sound in terms of quality, structure, and availability and is properly prepared. We select models, architecture, and the AI/ML stack based on your performance, security, and budget requirements.
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Prototype / PoC & Validation
Then a PoC or prototype is put together with actual data; this allows us to put our hypotheses to the test on the metrics set out and chart a course to production.
04
Development & Integration
We develop AI/ML solutions, data pipelines, and software, integrating them with APIs, databases, and enterprise systems. Scalability, security, and maintainability requirements are built in from the start.
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Evaluation & Production Deployment
Quality, reliability, performance, and latency are evaluated against defined metrics, along with security testing, before the validated AI/ML solution is deployed to the production environment.
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Monitoring & Continuous Optimization
We monitor quality, costs, and infrastructure. Models, pipelines, prompts, and other components are updated as needed to keep the AI solution aligned with changing workloads and business requirements.
Technologies for
Your Product’s Growth
The model stack, infrastructure, and frameworks are selected around your data and specific needs, with security, scalability, and budget requirements taken into account.
AI Models & LLMs
Anthropic Claude
Google Gemini
Llama
Mistral
Hugging Face
Machine Learning & Deep Learning
PyTorch
TensorFlow
Scikit-learn
XGBoost
LightGBM
Keras
GenAI, RAG & Agentic AI
LangChain
LlamaIndex
LangGraph
Semantic Kernel
CrewAI
AutoGen
Vector Databases & Data
Pinecone
Weaviate
Qdrant
Pgvector
PostgreSQL
MongoDB
MLOps, Evaluation & Observability
MLflow
Weights & Biases
Promptfoo
Giskard
LangSmith
OpenTelemetry
Cloud & AI Infrastructure
AWS
Microsoft Azure
Google Cloud
Docker
Kubernetes
NVIDIA
Our Clients on Working with Us
More than just reviews, these are real stories of partnership and trust.
They adapted quickly to changing priorities.
The team quickly understood our goals and translated them into practical solutions. Their ability to adapt and move fast made the collaboration smooth and highly productive.
Joseph F.
Ozeaon | Portugal
Joseph F.
Ozeaon | Portugal
Worked in sprints
Zentix delivered their development work on time, which was an excellent start for the client. The team worked in sprints, updated the client weekly, and delivered tasks on schedule.
Andrew R.
RaDevs | Estonia
Andrew R.
RaDevs | Estonia
Responsiveness and dedication
Responsiveness and dedication to delivering high-quality services were outstanding.
Maria А.
ARGUNOVA | Ukraine
Maria А.
ARGUNOVA | Ukraine
They delivered great results and provided useful support throughout the project."
They delivered great results and provided useful support throughout the project.
Andrey H.
Bestclevers | Ukraine
Andrey H.
Bestclevers | Ukraine
The team delivered exactly what we needed
The team delivered exactly what we needed — high-quality solutions and smooth collaboration from start to finish.
Alex L.
Wavory | Cyprus
Alex L.
Wavory | Cyprus
Their e-commerce expertise made a real difference
Zentix helped us build and launch our e-commerce platform with great attention to detail. The team was responsive, professional, and easy to work with throughout the entire process.
Amir B.
Servicom | Sweden
Amir B.
Servicom | Sweden
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FAQ
How do we know whether AI/ML is right for our business problem?
Before development begins, we assess the business case, available data, and expected outcome. If AI/ML is not the best fit, we will say so and suggest an alternative.
What data do we need for an AI/ML solution, and what if it is not ready yet?
Data requirements depend on the use case. If the data is not ready, we assess its readiness and help set up the necessary data sources and pipelines.
Can you take an existing AI/ML prototype or PoC into production?
Yes. We regularly turn prototypes into production-ready solutions, covering integration, security, monitoring, and scalability.
How does an AI/ML solution integrate with our existing systems and data?
AI/ML can be integrated with products, workflows, APIs, databases, CRM/ERP platforms, and other enterprise systems through standard or custom integrations.
How do you manage AI/ML quality, security, and costs after launch?
Evaluation, security controls, and monitoring for quality, performance, latency, usage, and costs are considered at the architecture stage. After launch, we continue tracking these metrics.
How much does AI/ML development cost, and how long does it take?
It depends on the use case, the volume of data, and the complexity of the integration. After the discovery stage, we provide a specific estimate for the timeline and cost.
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