Commercial APIs
GPT, Claude, Gemini: strong general quality and fast integration. Best when time to market matters and request volumes are moderate.
AI App Development Services
AI apps for web and mobile, built for scale-ups that need a working product, not a demo. Your first release goes live in under 90 days.
80
Certified Engineers
12+
Years of Developers' Experience
15
Countries with Active Clients
AI Application Development Company for Products That Go Live
For a growing business, an AI app serves users, works with data and drives revenue. It has to answer accurately, connect to your systems and handle ten times more users. ZentixSoft builds AI apps for web and mobile that do exactly that: assistants and chatbots, recommendation systems, computer vision and predictive analytics. Before the first line of code, we estimate AI running costs and define with you the business metrics the app must hit. Model routing, caching and usage limits keep spending on budget, so you see upfront how the app pays off from thousands to hundreds of thousands of users.
Quality Control
Automated tests check answer quality before release, and guardrails monitor responses in production
Freedom to Choose Models
GPT, Claude, Gemini, or open-source models: you can switch models without completely rewriting the app.
Everything Is Yours
We transfer ownership rights to the code, prompts, and test datasets created for you. Your data remains yours.
Challenges Custom AI App Development Solves for Businesses
The challenges scale-up and enterprise teams bring to us, and how we prevent them from turning into costly mistakes.
Challenge
Competitors already ship AI features, while your team is overloaded and lacks LLM expertise.
Risk
While you hire AI engineers for six months, the market gets used to a competitor’s product.
Solution
A senior team experienced in LLMs, RAG and AI agents joins fast and ships the first release within 90 days.
Challenge
It’s unclear whether ChatGPT or a no-code builder is enough.
Risk
You overpay for custom code or hit the builder’s limits once you already have paying customers.
Solution
At the first consultation, we tell you directly when a builder is enough to validate your idea.
Challenge
Agencies quote development, but nobody says what the AI will cost after launch.
Risk
Development fits the budget, but monthly API bills eat your margins.
Solution
Along with the estimate, you get a cost-per-request forecast as your audience grows.
Challenge
AI must go into a product that already generates revenue.
Risk
The new feature breaks the architecture, slows releases and adds technical debt.
Solution
AI runs as a separate service via API, and feature flags roll it out gradually.
Challenge
It’s hard to tell an AI product team from one that wraps ChatGPT in a nice UI.
Risk
You get an app never tested on your data or under real load.
Solution
Before development, we agree on the architecture: evals, monitoring, cost control and, where needed, RAG and guardrails.
Challenge
Your demo gives slow, inaccurate answers on real data.
Risk
Launch slips by quarters, and the board loses faith in the AI initiative.
Solution
We take it to production with a data audit, RAG, quality testing and monitoring from the first sprint.
0106
AI App Development
Solutions We Build
Each AI app development service starts with your use case: one capability or several in a single app, from LLM assistants to computer vision.
01
AI Assistants & Copilots
We build assistants on generative AI and LLMs such as GPT, Claude or open models, grounded in your business data:
Answers based on your documents, databases, and CRM;
Actions within the product: requests, reports, and data updates;
Source references for verifying answers;
Escalation of complex requests to a human according to predefined rules.
02
Recommendation & Personalization Apps
03
Computer Vision Apps
04
Predictive Analytics Apps
05
Document & Knowledge Apps
06
Voice AI Apps
Have an AI App Idea or Demo and Want to Bring It to Production?
An engineer will assess the AI architecture, data, and inference costs and propose an AI development plan from PoC to release without putting your budget at risk.
AI App Builder or
Custom Development:
What Fits Your Product
AI app builders give you a prototype in days and work well for validating an idea. Build custom when real users, data or money depend on the answer.
Criterion
AI App Builder
Custom Development
What You Get
A working prototype in days
A product built around your business logic
Where It Runs
On the platform’s hosting, within its limits
On your cloud or infrastructure
Data
In the builder’s cloud under its terms by default
In your environment with your access rules
Model Selection
Limited to what the platform supports
Any model, or several at once
Cost per Request
Subscription plus usage, hard to forecast at scale
Estimated per scenario before development
When It Breaks
You wait for the platform to fix it
Your team or ours fixes it
Which AI Model Fits Your App
We choose the model by quality on your data, cost at scale, privacy, speed and time to launch, and you can swap it later without a rewrite.
Open-Weight Models
Llama, Mistral, Qwen on your infrastructure: full control over data and compute. Best for high volumes and strict privacy.
Specialized Model
Fine-tuned for your domain or built for one task, for maximum accuracy and speed. Best when you have proprietary data and general models fall short.
Multiple Models at Once
Routing sends each request to the right model by complexity, cost and privacy. Best for products with mixed request types.
Add AI to the App You Already Have
We add smart search, assistants or recommendations to your revenue-generating product step by step, with measurable results and no risk to its stability.
Separate AI Service
AI services run alongside the core system via an API and access data using the same roles and permissions already in place within the product.
Gradual Rollout
Feature flags allow you to enable the feature gradually and disable it quickly, while A/B tests help compare results.
Measurable Impact
Before app release, we agree on the metrics: conversion, retention, time spent on tasks, or the number of support requests.
AI Mobile App Development
for iOS and Android
As an AI mobile app development company, we choose where the model runs for each feature, so the app responds fast, works offline-ready and saves battery.
On-Device or Cloud Inference
Recognition and classification run on-device with Core ML or LiteRT, while complex requests go to cloud models with privacy controls.
Native or Cross-Platform
Flutter and React Native give one codebase for both platforms, and Swift and Kotlin give full access to on-device AI when it matters.
Voice and Camera
Voice commands, transcription, object and document recognition, with performance optimization and a smooth user interface.
App Store Releases
Mobile AI app development ends with store approval: we meet App Store and Google Play rules on AI content, privacy and data sharing.
AI Apps for Industries We Know
We adapt our artificial intelligence app development services to industries where we know the data, regulations and user behavior.
FinTech
Application scoring, fraud detection in transactions, and AI assistants for customers, taking into account applicable PCI DSS and KYC requirements.
Healthcare
AI assistants for patients and doctors, medical record processing and automated scheduling, with HIPAA requirements in mind.
MedTech
Medical image analysis, processing data from devices and sensors, and models that provide explanations of their decisions for physicians.
Retail
Personalized recommendations, image and semantic search, demand forecasting, and dynamic pricing.
Logistics & Transportation
Route optimization, delivery time prediction, and invoice and document recognition.
What Makes an
AI App Production-Ready
A demo proves the idea, while production needs daily control of quality, security and costs. Here’s what we build in from the first sprint, based on your product’s needs.
Retrieval from Your Data
The model uses RAG to answer based on your documents, databases, and CRM data, rather than relying solely on general knowledge.
Guardrails
Input and output filters help block unsafe requests, mask personal data, and restrict response topics.
Evaluation
Test suites check response quality after prompt or model changes to detect performance degradation before release.
Cost Control
Model routing, caching, limits, and budget alerts keep the cost per request under control.
Observability
Tracing reveals latency, errors, and costs, while response ratings and user feedback help improve the quality of AI features.
AI UX
Response streaming, source citations, and clear error states make AI a convenient tool for everyday use.
AI App Development Cost:
What Shapes Your Budget
Development and operating costs depend on your app’s logic, data, artificial intelligence models and integrations. We estimate both before the start, so each next stage is funded by the results of the previous one.
Proof of Concept
A few weeks to test AI quality on your data. You receive a prototype, a cost-per-request forecast, and a go/no-go decision.
MVP
The first version for real users within 90 days, based on the agreed scope, with guardrails, monitoring, and key integrations.
Product Development
Feature expansion and scaling to handle increased workloads, with additional models and AI-powered mobile apps as needed.
What Will Your AI Application Cost?
Get a development estimate and cost-per-request forecast to plan costs at launch and as your user base grows.
Engagement Models
That Fit Your Stage
Choose the engagement model that fits your product's current stage and adjust it as the product grows.
Fixed Price
Fixed scope, timeline, and budget. Suitable for PoCs and projects with clearly defined outcomes.
Time & Materials
Pay for actual time spent, with the flexibility to change priorities. Suitable for MVPs where requirements are refined based on user feedback.
Dedicated Team
A dedicated team of AI, backend, and mobile engineers working as an extension of your team. Suitable for long-term product development.
Security and Compliance
for AI Apps
An AI application handles your customers' data, so we build security into the architecture from the first sprint. We align every layer of protection with your requirements and industry standards.
Enterprise APIs with zero data retention terms
Open-source models deployed on your infrastructure
Masking personal data before it reaches the model
Your data is not used to train third-party models.
Roles and permissions inherited from your product
Encryption in transit and at rest
Secure storage and rotation of API keys
AI only accesses what the specific user's role permits.
Protection against prompt injection and jailbreak attacks
Least-privilege access for AI agents
Validation of responses before executing actions
We reduce the risk of data leaks and rule bypasses through multiple layers of protection.
Processes aligned with GDPR and HIPAA requirements
Logs of AI requests and actions with sensitive data minimized
EU AI Act requirements for products in the EU market
You enter audits with documentation ready, rather than scrambling to prepare it at the last minute.
Alerts for anomalies in requests and model behavior
Dependency scanning and security checks in CI/CD
Incident response plans
We detect threats and respond to incidents to minimize their impact.
Advantages
Why Companies Choose ZentixSoft
as Their AI App Development Company
More than half of our clients stay with us long-term. Here’s what you get from an AI app development agency that ships to production.
00
01
02
03
AI Engineer on the First Call
Your project is assessed by an engineer who has already brought LLM products into production, not a sales manager.
A PoC That Remains Your Asset
Even if you make a no-go decision, you receive a prototype, data analysis, and a report you can use to move forward.
Weekly Quality and Cost Tracking
From the first sprint, you can track response accuracy and cost per request in a dashboard, rather than discovering these metrics at the end of the project.
AI Experience in Your Industry
LLMs, RAG, AI agents, computer vision, and data pipelines in real-world projects for FinTech, HealthTech, and EdTech.
How We Build Your AI App
Five steps from the first call to a working AI application that continues to evolve.
01
Discovery & Data Audit
We study your business challenge, data, and the systems the AI will interact with. Together, we define success metrics and provide preliminary estimates of AI app development and operating costs.
02
Model Selection & PoC
We compare models using your real-world examples and validate the idea with a working prototype. This stage ends with a data-driven go/no-go decision.
03
Architecture & UX
We design the architecture to handle expected workloads, AI interaction scenarios, and the user interface. You can see how the product will work before active development begins.
04
Development & Evaluation
Development proceeds in two-week sprints, with a demo after each one. Automated response quality tests evaluate every prompt or model change.
05
Launch & Optimization
We roll out the product gradually, starting with a subset of users. After release, we monitor quality, costs, and feedback, using the data to guide further product development.
Our team
The Team Building Your AI App
One senior team handles the entire development stack, from artificial intelligence models and AI engineering to backend, mobile applications, and infrastructure.
CEOAgness
CTOAndrew
HRDYevhenii
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 DeveloperMaks
Team Lead | DevOpsOleg
QA EngineerElina
Full Stack DeveloperOleksandr
RecruiterOksana
CSOOlga
CMOSolomiya
Project ManagerYeva
Full Stack DeveloperAnastasiia
Tender ManagerYurii
Head of DeliveryKristina
UI/UX DesignerVladyslav
Business AnalystOlena
Our AI App Development Stack
We adapt to your tech stack, and if any component is missing, we recommend proven tools.
Models
OpenAI/GPT
Anthropic Claude
Google Gemini
Llama
Mistral
Qwen
AI Frameworks
LangChain
LlamaIndex
Hugging Face
PyTorch
Vector Databases
Pinecone
Qdrant
Weaviate
Pgvector
Evaluation and Monitoring
Langfuse
LangSmith
Prometheus
Grafana
Backend
Python
FastAPI
Node.js
PostgreSQL
Redis
Frontend and Mobile
React
Vue.js
Flutter
React Native
Swift
Kotlin
On-Device AI
Core ML
TensorFlow Lite
Cloud and AI Platforms
AWS Bedrock
Azure OpenAI
Vertex AI
Infrastructure
Docker
Kubernetes
Terraform
CI/CD
Companies That Trust Our Development Services
What Clients Say
About Our Services
Behind every review is an application that has reached the market and a partnership that continues beyond launch.
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
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
Zentix Soft built a tool for how a staffing agency actually operates, not a generic tool adapted to fit
Zentix Soft's work helped the client reduce their time-to-placement and administrative overhead. The team delivered on schedule, communicated clearly, and was responsive to the client's needs. Moreover, Zentix Soft's ability to build a system custom to the client's specific workflow stood out.
Max B.
COO, Zero Task Labs
When you find a team that gets your business, you keep them close
Zentix Soft's work helped the client increase sales, conversions, and inquiries. The team was responsive, attentive, and communicative throughout the engagement. Moreover, Zentix Soft understood the client's business and delivered a warm and beautiful design that aligned with their vision.
Andrii K.
CEO, Happy Paws LLC
They delivered great results and provided useful support throughout the project
Zentix's work met the client's expectations. The team provided timely deliverables and professional responses throughout the engagement. Their daily online meeting, constant updates on the project's progress, and excellent results were remarkable. Zentix approached tasks promptly and creatively.
Andrey H.
Bestclevers | UK
Andrey H.
Bestclevers | UK
Responsiveness and dedication
Responsiveness and dedication to delivering high-quality services were outstanding.
Maria А.
ARGUNOVA | Ukraine
Maria А.
ARGUNOVA | Ukraine
Any profile mismatches were addressed immediately with alternative candidates
Zentix Soft successfully placed specialists who contributed to the end clients' projects. The team provided structured onboarding support to ensure a smooth integration into the client's team and processes. Zentix Soft's responsiveness and ability to meet requirements stood out.
Yulia N.
Marketing Manager, OnHires
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
Their ability to translate operational nuance into system logic was consistently strong throughout
The ERP system improved visibility into project profitability, reduced financial reconciliation time, and automated management reporting. Zentix Soft structured the engagement across clearly defined delivery phases and translated the client's operational nuances into system logic.
Anonymous
Marketing Manager, OmiSoft
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
Everything went well
Zentix Soft delivered a detailed audit report that provided the end client with a clear and prioritized roadmap for their redesign. The team identified accessibility issues and inconsistencies, saving time in the subsequent design system consolidation phase. Moreover, Zentix Soft's speed stood out.
Vladymyr H.
COO & Co-Founder, Yarandin
Their communication remained clear and professional at every stage
The new platform improved visibility across client relationships and reduced the client's administrative overhead. Zentix Soft demonstrated a thorough understanding of the business operational needs, enabling them to deliver a genuinely usable system from day one. Overall, the project was a success.
Anonymous
CEO, IT Company
The company had a team that was well-versed in creating the product I needed
Zentix successfully implemented the product quickly. The team was responsive and communicated regularly via email and virtual meetings. The client was impressed with the team's skilled resources and high technical expertise.
Vitalii D.
CEO, RD2
They ultimately exceeded my expectations
Zentix Soft delivered all MVP features on time and within budget. The platform was pilot-ready, and the wearable device had moved on to live patient testing. The team was organized, responsive, and easy to work with. They were always available to answer questions and address feedback.
Inna M.
Co-Founder & Product Lead, BraveShe
0114
Ready to Launch an AI App That Scales with Your Business?
Our senior team can get started in 5 days and handle the entire development stack, from model selection to launch on the App Store and Google Play.
FAQ
The budget includes AI app development and monthly inference costs and depends on the application's logic, data, model, and AI integrations. We start with a PoC to validate the idea with minimal investment.
For a prototype, often yes. Custom AI app development becomes necessary when your application requires specific business logic, integrations, and reliable performance under load.
A PoC takes a few weeks, while the first user-ready version can be launched within 90 days.
The one that delivers the required quality on your data at an acceptable cost. The AI model can be replaced without rewriting the app.
Yes. We integrate AI as a separate service through an API and roll out the feature gradually.
You do. The code, prompts, test datasets, and documentation belong entirely to your company.
Ask to see AI projects running in production, not just demos, and find out how the provider manages response quality, data security, and inference AI costs.
We estimate cost per request for each scenario before development. In production, model routing sends simple requests to cheaper models, caching avoids paying twice for repeated answers, and budget limits with alerts keep spending within plan. You track cost per request in a dashboard from the first sprint.
Both. Most of our clients are startups and scale-ups that need a working product fast, and we also help enterprise teams add AI to existing systems. The engagement model follows your stage: a fixed-price PoC to start, then a dedicated team as the product grows.
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