Build Intelligent Agents That Get Things Done

Harness the power of LLMs to create autonomous agents that can plan and execute complex multi-step workflows with various degrees of human intervention.

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Building AI Agents with LLMs

Large language models are the reasoning units behind business-ready AI agents

AI agents that reason and solve like you do

Building secure agents for every industry using the principles of Compound AI.

Virtual assistants that know your brand

Create AI teammates that understand your organization's unique processes and data sources to deliver contextual, on-brand work that aligns with how your teams actually operate.

Context-aware conversation agents

Next-gen chatbots remember every interaction, maintain access to your data ecosystem, and leverage various tools to solve complex queries instead of just answering them.

Navigate business decisions

Build agents that process multiple information streams continuously to deliver consistent, fully documented strategic recommendations at scale, while keeping humans in control of key decisions.

Coordinate complex workflows

Build agent networks that orchestrate multi-step processes around the clock, coordinating between teams, tools, and other agents to keep your operations running smoothly at scale.

Customer Testimonial

"Working with deepset Cloud has positioned us as a leading edge provider in our space. It has improved our relationship with clients as they see us rapidly responding to their needs. Finally, it has resulted in a new product to sell as well as incremental revenues."

Dan Coates
President

"By leveraging deepset's expertise in agentic RAG systems, the risk of producing inaccurate or misleading information is significantly reduced."

Daniel Kallfass
Senior Expert for 3D Simulation of System of Systems at Airbus Defence and Space

Customize agents for your use case

Take advantage of deepset's inherent modularity to combine models, data, tools, and pipelines to create AI agents that reason and solve the way you do.
01

Advanced reasoning & planning

Delegate complex tasks, strategic planning, and real-time dynamic adaptation to the LLM of your choice. Turn LLMs into the "brains" of complex decision systems, using their reasoning capabilities to decide between different tools, courses of action, databases, and other resources.

02

Infinite extensibility

Build and customize agents for any use case. Add any tools and data sources, from cloud services to databases, APIs, and in-house applications. Build out custom components and LLM-driven workflows, such as RAG, and add them as tools to your agent system. Create a future-proof AI agent that grows with your use case.

03

Visual agent builder

Design and deploy intelligent agents through an intuitive user interface. Configure behaviors, set goals, and monitor execution all in one place. Use our visual drag-and-drop AI system design editor to add components or entire subsystems. See how information flows through your system at a glance, making debugging faster, more efficient, and more enjoyable.

04

An inherently agentic framework

Leverage the modularity and flexibility of Haystack 2.0, deepset Cloud's underlying LLM orchestration framework, to build complex graphs with loops and branches for your custom agent's application logic. Tap into a rich open source community with a keen eye on the latest advances in the world of AI. Follow their expert judgment on the most future-proof, best-documented, and production-ready framework for building world-class Compound AI systems.

SCALABLE, SAFE AND SECURE

Open Source Foundation
Built on Haystack, the trusted open-source framework for production-ready LLM applications.
Data Privacy Assurance
Your data remains private and isn’t utilized for training your choice AI models.
Flexible Identity Management
Seamlessly integrate with your Identity Provider and configure Single Sign-On (SSO) with SAML support for tailored role access.
Custom Data Retention Policies
You define how long we keep your data, giving you full control over data retention timelines.
Enterprise Support
Dedicated support from our security and infrastructure experts, with guaranteed response times for critical issues.

FAQ

What is an AI agent?

An AI agent is a system powered by large language models (LLMs) that can reason, plan, and take action to achieve specific goals. Unlike other AI methods, agents dynamically interact with tools, data, and their environment, enabling them to perform tasks like automations, co-piloting, and multi-step analyses. With features like memory, decision-making, and function calling, AI agents go beyond retrieving and generating information, offering adaptable, action-oriented solutions tailored to real-world challenges.

What makes deepset AI agents unique?

deepset AI agents stand out for their agnostic approach to data types and sources, tools, and models, ensuring flexibility across any environment or industry change. Backed by enterprise expertise, deepset provides robust implementation and ongoing support. With a modular building-block approach, organizations can fine-tune, understand, and debug agents, creating tailored, scalable solutions that align with their unique goals.

What are the best use cases for agents?

AI agents excel at tasks that require reasoning, decision-making, and adaptability. Key use cases include customer support automation, personalized recommendations, dynamic resource allocation, process optimization, and intelligent virtual assistants. They are particularly effective at handling complex, multi-step workflows and integrating tools and data sources for seamless, goal-driven outcomes.

How can I customize AI agents for my business?

To implement AI agents, start by identifying processes or workflows that require decision-making, adaptability, or multi-step automation. You can leverage deepset's expertise and platform to design modular agent systems tailored to your needs by integrating custom tools, data sources, and LLMs. Start with a prototype, iterate with real-world feedback from your subject matter experts (e.g., teams, customers), and scale the agent as your business evolves, ensuring alignment with your goals and infrastructure.

How can I implement AI agents in my organization?

To implement AI agents, start by identifying processes or workflows that require decision-making, adaptability, or multi-step automation. Customers leverage deepset's expertise and platform to design modular agent systems tailored to your needs, integrating tools, data sources and LLMs. Start with a prototype, iterate with real-world feedback from your subject matter experts (e.g., teams, customers), and scale the agent as your business evolves, ensuring alignment with your goals and infrastructure.