Custom AI Solutions

The AI systems your industries actually need.

Chatbots, voice agents, RAG, and LLM workflows built
for your domain, your data, and your users.

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Case Studies

Work That Moved
the Numbers

Insights

Latest
Insights

All Insights
Artificial Intelligence

AI for Schools: 7 Admin Workflows That Cut Staff Hours Without Touching the Classroom

The 7 admin AI workflows already cutting staff hours in schools across every size, and the 3 ideas that keep getting pitched but fall apart on real students.

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Tradingview

Turning a TradingView Indicator Into a Product: The MVP Path From Script to Subscription

A working indicator is not a product. Selling one means access control, billing, support, and distribution, the 90% that has nothing to do with Pine Script. Here is the MVP path.

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Software Development

Web Scraping vs API vs Paid Data Feed: How to Pick the Right One for Your Product

Most "we need a scraper" requests are actually an integration or a paid data feed in disguise. Here is how to tell which bucket you are in before you build.

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AI Has Made Building Easy.
Domain Expertise Makes It Actually Work.

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E-Commerce

Why AI Fraud Detection Without Extra Checkout Steps Is Now Possible (And Necessary)

Legitimate buyers abandon at checkout hurdles 8-12x more than fraudsters. AI fraud detection reads behavior signals to cut fraud 40-60% while removing the hurdles.

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Design & UX

Where Generative UI Wins and Where Traditional Front-End Still Beats It

Generative UI shines for long-tail user needs. Traditional front-end still wins for happy paths, marketing pages, and brand-sensitive landings. Here is where each fits.

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SEO, GEO & AEO

How Reddit and Forums Now Beat Blogs in AI Search Mentions

Reddit and forum threads top AI mention lists on practical questions. The content shape behind the shift, the 3 kinds of community engagement, and the operational layer.

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How We Work

Domain First.
Then Engineering.

Most projects fail not because of bad code, but because nobody took the time to understand the business.

See Our Process
01-02

Discovery & Architecture

We learn your industry and design the blueprint before writing code.

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03-04

Build & Test

Two-week sprints with working demos. Every path tested before production.

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05-06

Deploy & Evolve

Launch is day one. We stay and evolve with your business.

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Industries We've Built For

We Know the Sectors
Before We Write the Code

Your industry not listed here? We bring the same domain-first approach to every sector. The rigour doesn't change, only the domain does. Let's talk →

Our Framework

Built With the Right Tools,
Not the Trendy Ones

Languages
JavaScript
TypeScript
Python
Go
Frontend
React
Next.js
Vue
Angular
Backend
Node.js
Express
Django
FastAPI
Cloud
AWS
Azure
GCP
Docker
Data
PostgreSQL
MySQL
MongoDB
Redis
AI / ML
OpenAI
Claude
LangChain
TensorFlow
Mobile
Android
iOS
React Native
Flutter
CMS
WordPress
Wix
Webflow
Ghost
E-Commerce
Shopify
BigCommerce
Magento
WooCommerce
DevOps
Git
GitHub
Nginx
Terraform
Testing
Jest
Playwright
Cypress
Pytest
Design
Figma
Adobe XD
Sketch
Framer

Right tool for your problem. That's the only rule.

Frequently Asked Questions

What does Entexis actually build?
Custom software for your business. AI systems, SaaS platforms, CRMs, internal tools, and enterprise systems that fit your workflows. Not off-the-shelf products with a coat of paint. Live examples on this site include AI voice agents that book appointments, document Q&A systems that read your contracts, and custom CRMs tuned to specific industries.
How is Entexis different from other development companies?
You get a team of engineers who have built custom software for 12+ years across 5 continents and 2,100+ engagements. What separates the work is domain-first thinking. We spend time inside your industry before writing code, so what you get actually fits your workflows. Most companies flip that order and hope for the best.
Do you work on hourly, fixed-price, or something else?
All of them. Hourly for open-ended work, fixed-price for well-scoped builds, milestone-based for larger multi-phase engagements, and hybrid where it fits. The right model depends on how well-defined your scope is. Whichever you pick, you get outcome accountability, not just billable hours.
Who owns the code after the build?
You do. Every line of code, every schema, every integration is yours. We build on standard tools your team can maintain, so no black boxes, no proprietary layer, no vendor lock-in that keeps you dependent on us. When the engagement ends you own everything and can hire anyone to extend it.
Can Entexis work with our existing setup?
Yes. Across the common backend languages (Node, Python, Java, .NET, PHP), the common databases (Postgres, MySQL, MongoDB, MSSQL), any of the major clouds (AWS, GCP, Azure) or self-hosted, and modern AI models (OpenAI, Anthropic, open weights). If your team runs on it, you get a build that plugs into it.
Do you consult if we are not ready to build?
Yes. Sometimes the honest answer is not to build yet. Maybe an existing tool with 3 configuration changes covers 80% of what you need. Maybe a simpler workflow beats new software. We tell you when that is true. When a build IS the right move, we scope it properly and deliver. Either path, you get a clear answer instead of a sales pitch.
Can Entexis build custom AI for a business like ours?
Yes. Whether you are a small business, a growing SaaS, an enterprise, or an NGO, if you have a workflow that needs AI (chatbots, voice agents, document intelligence, decision support, or something bespoke to your domain), we can build it. Start with a conversation about what you are trying to achieve. We scope the build to what your problem actually needs, no bigger and no smaller.

What Gap in Your
Industry Are You
Building For?

No pitch decks. No RFQ forms. No 47-slide proposals. Just a conversation about your industry, your problem, and whether we're the right team to solve it. We'll be honest if we're not.

We'll get back within one business day.