
Berri
No-code platform for quickly building web apps powered by ChatGPT and other LLMs.

Overview
Berri AI Description
Berri is a platform that lets you build web applications powered by large language models (LLMs), including ChatGPT, without writing a single line of code. The service combines two key approaches: a visual interface builder for non-technical users and infrastructure tools for developers working with APIs and their own data.
The platform is built around the idea of rapid prototyping: users upload data in a popular format, assemble the app's interface by dragging and dropping elements, and deploy it with a single click. For more technical teams, Berri offers open-source code, support for over 100 LLM providers through a unified API, and tools for managing model call costs.
In essence, the service positions itself in two segments at once: as a no-code builder for quick experiments and as a platform for creating enterprise AI solutions with self-hosted deployment options.
Berri Features
| Feature | Value |
|---|---|
| Type | No-code platform for building LLM-powered web applications |
| Categories | No-code tools, AI development, AI app generators, LLM infrastructure |
| Platforms | Web, self-hosted deployment |
| Distribution model | Freemium, open source |
| Free tier | Available (no credit card required) |
| Paid plans | Professional — $49/mo, Business — $119/mo, Enterprise — custom pricing |
| Monthly visits | 3.1M (main site) |
| Added to catalog | July 11, 2024 |
| Supported data formats | CSV, Excel, JSON |
| Interface language | Not specified |
Who Is Berri For?
Non-technical professionals and entrepreneurs
The primary audience is people without programming skills who want to quickly validate a business idea or build a working app prototype based on their own data. The intuitive drag-and-drop interface lets you create a functional application in 5–10 minutes without involving developers.
Developers and IT teams
For technical specialists, Berri is interesting as an infrastructure platform: support for over 100 LLM providers through a unified API compatible with OpenAI formats, failover mechanisms between models, call logging, and expense tracking. Corporate teams can deploy the platform on their own servers.
SaaS businesses and enterprise customers
Companies that need support chatbots, content generation tools, or Q&A systems over documentation can use Berri to build and manage such solutions. The platform integrates with Slack via Slackbot and supports standardized logging of all LLM calls.
How to Use Berri?
Step-by-step process for non-technical users
Getting started begins with creating an account on the platform. Next, you upload data in one of the supported formats: CSV, Excel, or JSON. The system lets you pull information from different sources in just a few clicks. After uploading, you assemble the app interface with mouse clicks, choosing ready-made templates and arranging elements by dragging and dropping.
Launching and publishing the app
The final stage is deploying the app with a single click. Berri automatically creates an API endpoint for shared access, allowing you to instantly share the result with colleagues or clients. For technical users, a more advanced scenario is available: connecting a data source, building an app on ChatGPT, testing, and then launching it through the provided tools.
Key Berri Features
Data upload and organization
The platform supports importing tabular data and files in various formats, including CSV, Excel, and JSON. Data from multiple sources can be combined within a single application. This makes it possible to build apps that work with real user information.
Building apps with API endpoints
Every app created in Berri automatically gets an API for shared access. This means the result can be quickly integrated into other systems or demonstrated to stakeholders.
Infrastructure capabilities for developers
Technical teams get API integrations, custom GPT instance creation, connection of various data sources, and documentation support. Special mention goes to comprehensive LLM call cost tracking, budget management, and request rate limiting.
Berri Advantages
Lightning-fast app launch
The platform's main advantage is speed. Building a working prototype takes 5–10 minutes, which is especially important when testing hypotheses and presenting ideas. The time from data upload to a working app is minimal.
Accessible to non-technical users
The intuitive interface and lack of coding requirements make Berri attractive to people without a technical background. At the same time, developers get a full-fledged platform with open-source code, support for many LLM providers, and the option of local deployment.
Flexibility with data and models
Simple integration of data in different formats through a unified interface is combined with connections to over 100 LLM providers. Fault-tolerance mechanisms automatically switch between models in case of failures, increasing application reliability.
Berri Disadvantages
Limited analytics
Built-in visualization tools fall short of specialized BI services. For complex data analysis and detailed reporting, you'll need to connect external services, which adds complexity to the process.
Dependence on source data quality
The app's performance directly depends on the quality of the uploaded information. Errors in source data, messy tables, and incorrect formats can lead to improper app behavior.
Customization limitations
While the app's appearance (colors, logos, fonts) is configurable, complex custom logic and design may not be available. This makes the platform less suitable for projects with high demands for individual customization. Technical users may also need expertise to deploy it in a corporate environment.
What Problems Does Berri Solve?
Building data-driven applications
The core task is quickly creating working applications based on tables and files. Users upload data, configure the interface, and get a ready-made solution for testing an idea.
Creating chatbots and content generators
The platform allows building customer support chatbots, content generation tools, and automated Q&A systems over documentation. This is in demand in both small businesses and large corporations.
Developing custom AI solutions for enterprises
For enterprises, Berri offers building custom AI applications with corporate data integration, connections to popular tools, and deployment on their own infrastructure.
Berri Pricing
Free plan
Includes the platform's core features and limited support. No credit card is required for the free plan, and the basic open-source version is available without restrictions.
Paid plans
The Professional plan costs $49 per month, and the Business plan costs $119 per month. Enterprise customers get a plan with full support and additional features; its price is available on request. The exact feature differences between plans are not disclosed in the available data.
Berri Terms of Use
Registration is required to use the platform. The free plan does not require a credit card. Berri is distributed under an open-source model, meaning the base version is available for self-deployment. Detailed terms of use are not disclosed in available sources, including information about data retention policies and other legal aspects.
Berri Availability
Berri is available as a web platform that works through a browser. Self-hosted deployment is also available for companies that need data isolation or have specific infrastructure requirements. The interface language and list of supported regions are not specified in the source data.
How Berri Differs from Alternatives
Berri's main difference is combining two approaches in a single platform. On one hand, it's a no-code builder accessible to people without technical training, letting them assemble an app in minutes. On the other hand, Berri provides full-fledged infrastructure for developers: open-source code, support for over 100 LLM providers through a unified API, and cost management mechanisms.
A key feature is the ability to deploy on your own infrastructure. Many competitors offering visual builders or LLM platforms don't provide a self-hosted option, which is critical for companies with strict data security requirements.
Also worth noting is the focus on cost control: expense tracking, budget allocation, rate limiting, and failover configuration between providers — features rarely found in other no-code builders.
Conclusion
Berri is a multifunctional platform that successfully addresses the needs of two different audiences. Non-technical users can build a working web application based on their data in 5–10 minutes without writing code, which is especially valuable for quickly validating ideas and creating prototypes. Developers and corporate teams, in turn, can use Berri as full-fledged infrastructure for managing LLM applications — with open-source code, support for multiple providers, cost control tools, and self-deployment options. The platform's main limitations are related to underdeveloped analytics and certain customization constraints; however, for its core purpose — quickly building working AI applications — Berri looks like a compelling solution.
Frequently asked questions
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