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What is Timbal?

Timbal operates as a robust AI ecosystem specifically designed for businesses, acting as a production AI platform that enables teams to develop, deploy, and manage agents, workflows, user interfaces, and knowledge bases using their selected models. Teams can define behaviors using code or the Studio interface, granting them the ability to work with any model and provider while providing solutions across channels such as chat, email, voice, and product UI from a single runtime. By unifying the entire production stack, Timbal presents a typed Python framework alongside a visual builder in Studio, a runtime for efficient agent and workflow management, as well as governance and evaluation tools that ensure smooth enterprise integration and seamless connections with pre-existing systems. The agents featured in Timbal provide autonomous AI functionalities suitable for real-world applications, incorporating reasoning, tools, and memory, while workflows create dependable AI pipelines that can link tasks, make informed decisions, retry failed actions, stream results, and guarantee uniform outcomes. Furthermore, the interfaces support the creation of customized AI experiences across multiple channels, including conversational chat, dynamic dashboards, and voice applications, while the knowledge bases effectively connect and contextualize organizational data. This comprehensive strategy equips businesses to innovate and adjust to their unique requirements while harnessing cutting-edge AI capabilities, ultimately fostering a more agile and responsive operational environment. Such an ecosystem not only streamlines processes but also enhances overall productivity and collaboration within teams.

What is LLMGraph?

LLMGraph is a visually appealing builder tailored for users aiming to create low-to-no-code workflows that focus on LLM and AI technologies. With this platform, users have the capability to build pipelines that are visually represented as graphs by easily connecting LLM calls, document searches (RAG), tools, and logic through a user-friendly drag-and-drop interface. Alternatively, users can express their needs via a chat interface, allowing LLMGraph to automatically configure the desired setup for them. This innovative tool empowers users to convert documents and models into interactive RAG chatbots, support bots, and completely autonomous AI agents. Furthermore, deploying each workflow to a REST API endpoint is a breeze, as it can be integrated into an embeddable chat widget with just one click, which significantly reduces the hassle of managing infrastructure. LLMGraph offers various subscription options, including Hobby, Pro, and Enterprise tiers, along with a 14-day free trial for users to test and experience its features. By utilizing these functionalities, users can effectively enhance their projects and simplify intricate processes, making their work more efficient and productive. This versatility in application allows for a broad range of creative solutions tailored to diverse user needs.

Media

Media

No images available

Integrations Supported

Airtable
Gmail
HubSpot CRM
Model Context Protocol (MCP)
Notion
PostgreSQL
Salesforce
Slack
Stripe
Zendesk

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

€25 per month
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Timbal

Date Founded

2024

Company Location

Spain

Company Website

timbal.ai/

Company Facts

Organization Name

Katabarwa Labs Inc.

Date Founded

2026

Company Location

United States

Company Website

llmgraph.ai

Categories and Features

AI Agent Builders

Not specified

AI Automation

Not specified

Vibe Coding

Not specified

Workflow Automation

Not specified

Categories and Features

AI Automation

Not specified

AI Development

Not specified

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