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Custom AI Solutions | Solve Complex, High-Impact Challenges

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# Make Custom AI Agents Work the Way You Do

Custom AI Solutions with Purpose: Solve Complex, High-Impact Challenges

Built on the trusted open-source Haystack framework and the deepset AI Platform, our custom AI solutions are deployed at leading government and commercial institutions to transform mission-critical planning, decisioning, and workflow automation.

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## Why deepset

deepset enables custom AI solutions where trust, control, and outcomes matter most.
From managing financial risk to defense intelligence, brand reputation, and citizen services, purpose-driven AI solves problems too critical to get wrong.

High Impact

Power critical planning cycles and workflows with GenAI that boosts efficiency and accuracy in finance, defense, public sector, and more—where speed, accuracy, and compliance matter most.

Controllable

Build AI on your terms. Customize data sources, guardrails, and workflows using the flexible Haystack framework—fully tailored to your domain.

Transparent

Understand what your AI is doing—and why. From data to prompt to output, gain full visibility into every step of the pipeline.

Sovereign

Deploy where you need to—in the cloud, VPC, or on-premise. You stay in control of where your data lives and how your AI runs.

## Leading innovators partner with deepset to build and deploy trusted, purpose-driven AI

## What's New

REPORT

## deepset Recognized in 2024 Gartner® Cool Vendors in AI Engineering

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## A Smarter Approach

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Fast-track LLM development with deepset's modular approach to building tailored solutions teams trust.

01

## Custom AI Agents

Build and orchestrate custom AI agents that reason, plan, and take action using your data and tools.

02

## Retrieval Augmented Generation (RAG)

Create contextual chat experiences by connecting LLMs to your knowledge base.

03

## Enterprise Search

Drive precise search results by understanding user intent and content meaning.

04

## Text-to-SQL

Convert natural language questions into SQL queries for instant database insights.

05

## Intelligent Document Processing (IDP)

Extract, structure, and analyze information from documents automatically.

## ALL YOU NEED FOR SPEED, ADAPTABILITY AND RELIABILITY

HayStack

deepset

ai expertise

Haystack

The foundation: Our open-source AI framework gives you production-ready building blocks for orchestrating components and creating custom LLM applications, flexibility to use the latest models and technologies, and the freedom to build exactly what your business needs

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deepset

The platform: Streamline and scale Gen AI adoption with data management, infrastructure, tools, and templates to move custom AI solutions, LLM agents and apps 10X faster to production.

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ai expertise

The catalyst. Join hundreds of successful implementations with end-to-end support—from strategy to execution.

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## proven in production

Tailored for precision and seamless adoption.

Rapid deployment with predictable costs.

Built to adapt to a dynamic, evolving ecosystem.

Expert guidance to drive faster growth and scale.

5x roi

Monetizing AI agents.

\>50%

Less total cost of ownership.

<1s

For instant, accurate answers.

PROVEN IN PRODUCTION

"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

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"With deepset, we were able to focus almost immediately on rapid iteration and user feedback to refine our solution."

Sebastian Horn

Director AI & Deputy Editor-in-Chief

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"Our work with deepset has positioned us as a leading-edge provider in our space. It has also 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

CEO

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"With deepset, we have established a partnership characterized by mutual respect and professional equality. Their expertise, prompt responsiveness and transparent communication regarding ideas, adjustments and issues have proven to be invaluable."

Alexander Feldinger

Product Manager

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"What sets deepset apart is their technical expertise and collaborative approach to building AI applications and agents. They demonstrated exceptional ability to understand our credit analysis needs and rapidly deliver customised AI solutions for complex customer documents. Their platform's flexibility and hands-on engagement make them an invaluable partner in transforming our credit analysis workflows and delivering real business value."

Nathan Holmes

Product Director

"Not only are we achieving our ambitious aims in terms of time savings and quality improvement, but the system's capabilities are opening up new business opportunities we hadn't even considered when starting the project."

Ralf Kauther

CEO

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"With deepset, we rapidly developed a custom AI chatbot that captures the nuances of our insurance products. Their collaborative approach and flexible technology empowered our team to create an AI solution that truly meets our business needs."

Martin Pütz

Head of Sales Service

## We’ll Help You 
Get Started

Jumpstart your AI journey with our comprehensive learning resources.

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Latest Updates

White Paper: Transform Complex Document Analysis Workflows with Generative AI

Find out how a Gen AI-powered approach to document-intensive workflows can deliver remarkable results for your organization

GUIDE

AI Agents 101: How to Build Enterprise-Ready Agentic Workflows

Walk through the state of AI agents and how to use them to solve enterprise challenges. Gain actionable insights into agentic use cases and how to implement them.

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deepset Recognized as a Gartner Cool Vendor

We believe this recognition validates our innovative AI approach and work empowering enterprise AI adoption.

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## FAQ

### What is deepset?

deepset is a leader in framework and platform technology that accelerates AI application development with large language models (LLMs). As the creator of the deepset AI Platform and the Haystack open-source framework, deepset powers custom AI solutions in production across industries and government, earning recognition as a Gartner Cool Vendor in AI Engineering.

‍

### What are AI agents?

AI agents are LLM-powered applications that can reason, reflect, and act. They use tools, data, and thoughts to solve problems. Unlike other, simpler AI systems, AI agents are capable of critical introspection into their own thinking and decision-making processes, and can choose between different courses of action and iterate through the same step multiple times. AI agents were envisioned by humans long before the technical capabilities were available, but now, thanks to the reasoning capabilities of large language models (LLMs) that resemble human thinking, these AI systems are beginning to take on tasks previously performed by knowledge workers.

### What is Compound AI?

Compound AI systems integrate multiple components, like LLMs, retrieval mechanisms, and external tools, to handle complex business tasks with greater control and efficiency. This shift from standalone models enables dynamic, advanced capabilities. deepset provides a platform for building compound AI systems, empowering organizations to create custom solutions that combine modular AI tools for maximum speed, trust, and impact.

### What does an AI agent do?

AI agents solve tasks by dynamically using the tools at their disposal. They have autonomy over how they go about solving the task and in what order and how often they use the tools, although the degree of autonomy can vary widely. In practice, it makes sense to limit the agent's autonomy, for example, by setting an upper limit on the number of times a tool can be used in a call, and by including deterministic workflow elements. Agents can also include their human operators in a human-in-the-loop setup. Interaction between users and AI agents typically takes place in natural language through a chat interface.

### How does deepset differ from other AI platforms?

deepset combines the open-source Haystack framework with a customizable platform and enterprise-grade expertise, enabling businesses to quickly build and deploy tailored AI solutions using agents, RAG, and other advanced AI methods with expert support.

### What are the most popular types of AI agents?

AI agents as a solution are still evolving, so we cannot yet speak of a typology of AI agents. Driven by large language models (LLMs), they represent one of the most complex applications of Gen AI today, and the tools for building and maintaining them are still being developed. However, we can already observe that AI agents, just like Retrieval Augmented Generation (RAG) systems, are best designed as modular Compound AI systems. Compound AI is a design paradigm that enables highly customized AI-enabled products.

‍

### What industries does deepset focus on?

deepset serves diverse industries, including finance, legal, media and publishing, government, healthcare, retail, and consumer goods. Organizations use deepset to tackle domain-specific challenges like streamlining document processing, enhancing search, enabling intelligent chat systems, and building custom AI agents, delivering tailored solutions to meet their unique needs.

### What are custom AI agents?

The utility of AI agents lies in their ability to solve real-world, highly labor-intensive tasks independently or with minimal human assistance. As such, they work best when they are customized for the specific task at hand. This means that virtually every AI agent in production is a custom AI agent, with special components, tailored business logic and security measures, different database access and user interfaces, and so on. Compound AI facilitates the creation of custom AI agents that grow with their use case, meaning they should be reviewed and updated regularly to ensure their continued performance in evolving environments.

### What benefits does deepset provide?

deepset accelerates AI development with 10x faster speed, 40% greater efficiency, and over 50% cost savings. It also fosters collaboration between business and technical teams, offers platform-agnostic flexibility, and centralizes AI management in a single pane of glass for streamlined oversight and control.

### What's the difference between custom AI agents and pre-built AI agents?

At deepset, we offer several pre-built templates for AI agents that already include key agent workflows and logic, allowing users to get started on their development journey. However, our recommendation (and the way to get the most value out of your AI agent) is to iterate on this prototype and extend the pre-built agent with additional functionality, tools, and logic to customize it to your business and use case. That's because in an increasingly AI-driven world, customization will be the key to building products that differentiate you from your competitors. Pre-built agents can also be very valuable for ad hoc use cases that require quick solutions and little or no customization.

### How does an AI agent work?

An AI agent is a complex technology that incorporates Gen AI models, other machine learning models, custom logic, and multiple integrations with different data sources and other applications or APIs, which it uses as “tools.” When the AI agent is activated (usually through a user input), it starts devising a strategy to fulfill the user’s request. There are multiple techniques for that, some of which include up-front planning, chain-of-thought, and human in the loop.

### How do you use AI agents?

To get the most out of agents, organizations should deploy them in areas where complex decisions need to be made. Typically, these are tasks that would be complex for humans, requiring reasoning and the use of multiple tools and data sources. It is a good practice to develop more on the deterministic side, and then experiment with giving the agent more autonomy as you gain a better understanding of its capabilities and limitations. Users can be involved in the agent's decision-making process. Because agents are still emerging, there is still a lot of research and experimentation to be done on how to interface with users. Agents are an ideal technology to run in the background because they can do a lot of work under the hood and it is not always necessary to interact with them in real time. Of course, continuous evaluation and monitoring remain critical components of successful and secure agents.

### What is the difference between AI agents and AI assistants?

The difference between AI agents and AI assistants is that one describes a design/architecture paradigm and the other a practical application of that architecture. However, the line between the two can often be blurred. The term "AI agent" incorporates the notion of agency, meaning that the machine mimics human autonomous behavior in solving tasks that involve reasoning, planning, and the targeted use of tools to achieve a specific goal. However, when we talk about "AI assistants," we mean that an AI-powered technology helps us accomplish our tasks, such as managing our schedules, reviewing our code, or researching a topic. In reality, AI assistants are often implemented as AI agents, but AI agents can cover a wider range of use cases than just acting as AI assistants.

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