Build domain-specific AI features like conversational interfaces and contextual search using customizable, scalable LLM pipelines, accelerating development and innovation.
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40%
INCREASE IN WORKFLOW
EFFICIENCY
10x
faster custom app development
66%
less total cost of ownership
Adaptable AI for Tech
Product and Engineering
Marketing
Personalize customer journeys and sales readiness with context-aware content and insights that align customer needs with business opportunities.
Sales
Accelerate onboarding and enablement, automate repetitive tasks, and generate personalized proposals, helping teams ramp and close deals faster.
Service
Modernize support with custom AI assistants that resolve issues, assist agents, and maintain dynamic knowledge bases with minimal effort.
Operations
Streamline operations across HR, finance, and legal by automating data extraction, compliance monitoring, contract review, and employee workflows.
SCALABLE, SAFE AND SECURE
Open Source Foundation
Built on Haystack, the trusted open-source framework for production-ready LLM applications.
Flexible Deployment
Deploy to the cloud, VPC, or on-premise. It's your AI, your choice.
Enterprise Support
Dedicated support from our security and infrastructure experts, with guaranteed response times for critical issues.
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.
FAQ
How does deepset enhance software products with AI?
deepset enables technology companies to rapidly add cutting-edge AI capabilities to their products, from conversational interfaces to contextual search. Teams can develop domain-specific AI features using customizable LLM pipelines, accelerating innovation while maintaining full control over security and user experience.
What makes your platform ideal for developer teams?
It provides a flexible, component-based architecture that supports all technical roles - from AI and ML engineers to data scientists, developers, and product managers. Teams can quickly prototype, iterate, and deploy AI features using familiar development practices, while the platform handles infrastructure complexity and security. This allows developers to focus on creating value rather than managing AI infrastructure.
How does deepset support customer-facing teams?
deepset enables organizations to build AI solutions that enhance sales, marketing, and customer service workflows. Teams can develop systems that personalize customer journeys, automate proposal generation, and create AI assistants that help resolve support issues while maintaining consistent brand experience.
How does deepset ensure reliable AI performance at scale?
Our platform combines autoscaling infrastructure with expertise in building high-performance AI applications. Organizations benefit from best practices for AI product development, production-ready templates, pipeline monitoring, and guidance from experienced AI engineers. With SOC2 and ISO certifications and dedicated support, teams can confidently scale their AI solutions while maintaining quality and security.
How quickly can teams deploy AI features with deepset?
We encourage teams to build AI products in a rapid iteration cycle of build, deploy, test, and refine, which has proven to produce the most meaningful results. AI teams use our platform to quickly move from prototype to production with pre-built components and flexible deployment options. Organizations can iterate on AI capabilities while maintaining enterprise-grade security and performance standards, significantly reducing time to market for AI-enabled products.