deepset AI Platform is designed to streamline the journey from AI prototypes to production-ready generative AI applications and agents for enterprises. It provides a proven framework for orchestrating AI components, tooling, infrastructure, and expertise, simplifying custom AI agent and application development to allow organizations to focus on innovation. The platform enables users to build, test, deploy, and monitor their AI agents and applications from a single, integrated environment. It accelerates development cycles with specialized Gen AI toolsets for quick iteration, evaluation, and feedback, ensuring the creation of trustworthy and highly adopted applications. The platform supports connecting any data and format, offering automatic data management and extensive multimodal indexing capabilities. It also ensures future-proof systems through composable AI orchestration, allowing easy integration of any Large Language Model (LLM) or capability without vendor lock-in. Built on the open-source Haystack framework, deepset AI Platform offers flexible deployment options, including fully managed cloud, Virtual Private Cloud (VPC), and on-premise, while adhering to enterprise-grade security standards such as SOC 2 Type II, ISO 27001, GDPR, HIPAA, and CSA STAR Level 1.

Features & Benefits

• AI Application Lifecycle Management
  • Provides a comprehensive suite of tools to build, test, deploy, and monitor AI agents and applications in one place.
  • Pipeline Templates: Jumpstart development with pre-built, customizable templates.
  • Pipeline Builder: Visually construct custom AI pipelines with drag-and-drop functionality.
  • Custom Components: Integrate proprietary algorithms and business logic or enhance existing components.
  • Jobs: Create repeatable workflows for changing datasets.
  • Playground: Test and debug pipelines with detailed query processing views.
  • Prompt Explorer: Compare prompt and pipeline performance and latency.
  • Share Prototypes: Allow stakeholders to interact with prototypes for feedback.
  • 1-Click Deployment: Immediately launch pipelines.
  • Autoscale: Leverage managed infrastructure and built-in data processing for resource efficiency.
  • Export Code: Own your architecture by exporting pipelines as Python Code or YAML.
  • REST API: Make deployed pipelines available via UI of choice.
  • Groundedness: Track LLM adherence to facts with proprietary metrics and dashboards.
  • Usage Reports: Monitor pipeline, hours, and storage usage.
• Enterprise-Grade Reliability & Security
  • Delivers scalable, safe, and secure AI solutions built on a trusted open-source foundation with flexible deployment and robust security compliance.
  • Open-Source Foundation: Built on Haystack, a production-ready LLM orchestration framework.
  • Flexible Deployment: Choose from fully managed cloud, VPC, or on-premise models.
  • Enterprise-Grade Security: Compliant with SOC 2 Type II, ISO 27001, GDPR, HIPAA, CSA STAR Level 1.
• Retrieval Augmented Generation (RAG)
  • Enables intelligent chat applications that unlock proprietary knowledge for users.
  • Connect LLMs to documents, databases, and internal knowledge.
  • Ensure accurate responses with built-in citation tracking.
  • Support multiple file formats and data sources.
  • Scale seamlessly for enterprise-wide deployment.
• AI Agents
  • Facilitates autonomous AI systems that automate complex workflows with transparency.
  • Create modular AI agents from a library of AI pipelines.
  • Organize planning and routing capabilities for task execution.
  • Iterate with real-world feedback to refine agent behaviors.
• Enterprise Search
  • Replaces outdated keyword search with modular, context-aware Compound AI search pipelines for intuitive user experience.
  • Leverage customizable semantic language models for indexing and searching.
  • Combine traditional and advanced search methods for comprehensive results.
  • Extend semantic search to any data type (images, tables, audio).
• Text-to-SQL
  • Provides conversational business intelligence, democratizing data analysis via natural language.
  • Transform natural language questions into accurate SQL queries.
  • Enable exploring complex database schemas without SQL expertise.
  • Support multiple database partners, types, and schemas.
• Multimodal Intelligent Document Processing (IDP)
  • Automates insight extraction from any source at any scale, transforming document processing into a competitive advantage.
  • Process multiple document types (PDFs, images, forms, tables).
  • Extract structured data from unstructured sources automatically.
  • Surface citations and references for validation and accuracy.