We ship production code fast
We skip weeks of back-and-forth planning. Our SaaS product development strategy is simple — AI-augmented workflows get working code in front of you in week one so you validate faster and launch sooner.
AI App Development Services
We build AI-powered products that actually work in production - custom LLM apps, agent workflows, RAG pipelines, and intelligent automation with measurable business impact.
5.0
Based on 100+ Reviews
TOP RATED PLUS
100% Job Success
Our Awards & Recognitions
Top App
Development
Company
Tallinn 2026
Top Company
Next.js Developer
2026
Top Software
Testing Company
2026
Global
Award
Spring 2026
Top Company
Next.js Developer
2023
Top Software
Testing Company
2023
What We Offer
As an AI app development company, we build AI applications that go beyond demos. From generative AI app development to autonomous agent systems, our team designs and ships AI products that are reliable, monitored, and built for real-world use.
LLM Integration & Custom AI Apps
We deliver end-to-end AI app development services — integrating OpenAI, Anthropic, DeepSeek, and open-source models with custom prompt engineering, fine-tuning, and safety guardrails.
RAG & Vector Search
We build Retrieval-Augmented Generation systems using Pinecone, Weaviate, or pgvector - so your AI works with your own data accurately.
AI Agent Development
We build autonomous agents for AI mobile app development and web platforms using LangChain, LangGraph, and custom pipelines that can reason, plan, and execute multi-step tasks.
Workflow Automation
We offer AI powered app development through intelligent automation that connects your existing tools, APIs, and data sources — reducing manual work and operational costs.
Projects We've Shipped
Real delivery case studies showing outcomes, execution quality, and production-grade implementation.
Technologies We Use
Cutting-edge tools and frameworks to deliver exceptional results
React.jsNext.jsTypeScriptTailwind CSS
Python
Node.js
GraphQL
PostgreSQL
Docker
FigmaWhy Choose Entalogics
600+
combined projects delivered
8+
years avg. engineer experience
15+
dedicated team members
10+
industries served
40%
faster delivery with AI-augmented workflows
Senior engineers on every project
No juniors doing unsupervised work. Every Entalogics project is led by experienced engineers with 8+ years of hands-on delivery across fintech, SaaS, and enterprise software.
Transparent from day one
Clear scope, sprint-by-sprint visibility, and proactive communication throughout. You always know what's being built, what's next, and what it costs — no surprises.
What's Included
1
LLM Integration & Custom AI Apps
We deliver end-to-end AI app development services — integrating OpenAI, Anthropic, DeepSeek, and open-source models with custom prompt engineering, fine-tuning, and safety guardrails.
2
RAG & Vector Search
We build Retrieval-Augmented Generation systems using Pinecone, Weaviate, or pgvector - so your AI works with your own data accurately.
3
AI Agent Development
We build autonomous agents for AI mobile app development and web platforms using LangChain, LangGraph, and custom pipelines that can reason, plan, and execute multi-step tasks.
4
Workflow Automation
We offer AI powered app development through intelligent automation that connects your existing tools, APIs, and data sources — reducing manual work and operational costs.
AI Apps Development Process: Step-by-step
1
AI Strategy & Planning
Identify AI opportunities, select optimal models, and design intelligent workflows tailored to your business needs.
2
Model Integration
Integrate leading AI models (OpenAI, Anthropic, DeepSeek) with custom prompt engineering and fine-tuning.
3
Workflow Development
We build intelligent automation workflows through app development using AI — combining vector databases, LangChain, and custom pipelines tailored to your product needs.
4
Testing & Optimization
Rigorous testing of AI outputs, performance optimization, and continuous model improvement.
5
Deployment & Monitoring
Deploy with real-time monitoring, usage analytics, and ongoing AI model optimization.
6
Continuous Improvement
Iterate on prompts, fine-tuning, and workflows based on real-world usage.
Related Services
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COMMON QUESTIONS
Straight answers.
Six questions we get on every first call. If yours isn't here, it'll be the first thing we cover.
We work with OpenAI, Anthropic, Google Gemini, DeepSeek, Mistral, and open-source models via Ollama and HuggingFace - we pick the right one for your use case and budget.
We implement evaluation pipelines, output validation, human-in-the-loop checks, and continuous monitoring to catch hallucinations and errors before they reach users.
Only if you choose to use cloud-based models. We can also deploy fully local or private models so your data never leaves your infrastructure.
RAG lets your AI answer questions using your own documents and data accurately. If your product needs AI to reference internal knowledge, you need it.
A focused MVP with LLM integration typically takes 4-8 weeks. More complex agent systems or custom-trained models take longer depending on data availability.
Yes. We audit your current stack, identify the best integration points, and add AI capabilities without rebuilding everything from scratch.