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.
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AI agents that reason and solve like you do
Building secure agents for every industry using the principles of Compound AI.
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Virtual assistants that know your brand
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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.
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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.
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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.
SCALABLE, SAFE AND SECURE
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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.