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Hostinger Horizons scaled no-code AI web builder with NexEco AI

When Hostinger set out to launch their no-code web app builder, they already knew one thing: relying on a single AI model provider wouldn’t cut it.

Building their own orchestration layer and centralized AI platform meant hiring AI developers, setting up infrastructure, and managing ever-evolving model APIs. That’s why they launched with NexEco AI.

Mia Lysikova

By Mia Lysikova

30%

Saved in developer hiring costs

3M+

Client websites on Hostinger

hostinger hero

The Challenge: Launch a no-code AI platform with custom AI gateway

The Hostinger team was no stranger to AI before integrating NexEco AI. Both tech and non-tech teams experimented with LLMs:

That simplicity is powered by some serious backend complexity:

  • The team anticipated heavy usage. A constant stream of prompts and AI interactions would need to be processed with speed and reliability.

  • To keep up, Horizons needed a system that could route requests, maintain uptime.

  • At the same time, the team needed enterprise-level governance without the burden of building it all from scratch.

“If we tried building an AI gateway ourselves, it would have taken months and a huge dev budget.”
Dainius Kavoliu nas

Dainius Kavoliūnas

Head of Product @Hostinger Horizons

Building a custom AI gateway in-house mean a range of challenges Hostinger Horizons wasn’t ready to solve on their own:

Costly in-house development

Developing a custom AI gateway in house came with exorbitant costs and timelines: the team estimated the need for 2+ specialized developers and months of focus work. This was too slow and resource-intensive.

Long-term maintenance

The challenge didn’t stop at AI gateway development. If such a robust infrastructure was implemented, it would’ve required more costly, constant, dedicated maintenance and improvement.

Need of oversight

Traditional approaches (like calling a single model API directly for every request) falter as an application scales. Costs can spike, latency can increase, and reliability can suffer if there’s no system to intelligently distribute and oversee the AI workload.

Operational load

When users are building apps, chatting with support bots, or analyzing data all at once, it puts serious pressure on AI services. Hostinger needed a bulletproof platform that can support scale, not catch up to it as the user base grows.

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The Solution

With NexEco AI, Hostinger gained access to all the top models through a single control point, with routing, caching, and observability built in.

No Frankenstein stack. No vendor lock-in. Instead of Horizon’s front-end directly calling a single AI model, all requests now go through the NexEco AI Gateway. This gateway acts as a smart traffic controller between Hostinger’s application and various third-party AI models.

Hostinger Horizons x NexEco AI success in numbers

Don’t hear it from us. The results speak for themselves.

30%

Saved in developer hiring costs

3M+

Client websites on Hostinger

6+

Months of development saved

Here’s how NexEco AI solved each challenge

1. AI gateway

With NexEco AI handling the complexity of AI, Hostinger’s developers and data scientists are freed from building and maintaining a custom AI infrastructure.

Instead of spending months engineering a homegrown solution for load balancing or writing custom logic, they integrated an off-the-shelf orchestration platform and trusted its algorithms. The savings were immediate. Both in engineering hours and budget.

workspace metrics observability xs

2. Enterprise-grade scaling

By building on NexEco AI, Hostinger Horizons saved significant time and resources, not just in development, but in long-term maintenance. Hostinger Horizons handles more users and more complex projects without lag or drop in output quality.

As demand grows, NexEco AI dynamically scales AI usage across providers to maintain snappy performance. This has a direct impact on user satisfaction: creators using Horizons get near-instant responses and can iterate on their app ideas rapidly, which is essential for a creative flow.

metric and log spans details

3. Built-in fallback logic

When your preferred provider goes down or starts timing out, NexEco AI automatically switches requests to a backup model. Behind the scenes, it balances traffic across providers to reduce latency and uses intelligent caching to cut redundant calls, lowering costs without sacrificing speed.

Even top-tier AI APIs can experience outages or slowdowns, but with a smart gateway, your product keeps running. The user doesn’t notice anything. The request still completes. Your team doesn’t need to wake up and scramble for a hotfix.

fallback model

The Result

Hostinger Horizons didn’t cut corners. They built a modern, AI-powered no-code platform that can respond to users in real time and do it all securely.

But building everything in-house can come at a cost in time, resources, and opportunity. With NexEco AI, they stayed focused on product velocity and user experience. The orchestration layer in a form of centralized AI platform handled itself.

“Integrating NexEco AI was seamless. It saved us the equivalent of two yearly salaries in development cost.”
Dainius Kavoliu nas

Dainius Kavoliūnas

Head of Product @Hostinger Horizons

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