The Platform for Sovereign AI

Build, run, and govern production-ready AI agents with full control across models, infrastructure, and data.

Four layers of control, from context to production.

Precision Context Engineering

Engineer what your AI knows and can do

Control what information, tools, and memory your AI accesses.

Surface the right documents, specify which APIs can be called, and construct prompts while seeing exactly what context goes into every decision.

Agentic Orchestration

Build agents that reason and act reliably

Design how agents use context, tools, and memory to complete multi-step tasks.

Define reasoning patterns, tool invocation logic, and escalation paths for agents thatwork in production, not just demos.

Sovereign Deployment

Run on your chosen infrastructure, models, and stack

Deploy across cloud and self-hosted environments, with serverless execution that scales automatically.

Swap models and providers without rewriting code, keeping your architecture portable with no vendor lock-in.

Production Observability

Monitor, debug, and optimize with full visibility

Track every query, answer, action, and context source in a unified run history. 

Debug failures with component-level errors, enforce guardrails at runtime, and iterate based on real usage.

Open source at the core.

Full visibility and portability.

Haystack is the open-source framework for production-ready agents and applications.

Its composable architecture gives teams visibility into how their AI systems work, with components that are inspectable, extensible, and swappable.

Adapt models, data stores, and infrastructure without rebuilding from scratch or locking yourself into a proprietary abstraction.

Explore Haystack

One platform for the full agent development lifecycle.

Haystack Enterprise Platform is the enterprise-grade operational layer built on top of Haystack open-source – giving teams the orchestration, evaluation, observability, and deployment controls to move from agent prototypes to governed enterprise systems.

Build

Compose and debug agents and RAG pipelines with a visual builder. Start from templates, add components, configure retrieval and memory, and connect tools and APIs – then export as Python or YAML for any environment.

  • Visual Pipeline Builder
  • Debugger
  • Pipeline and agent templates
  • Data Indexing
  • Custom components
  • MCP
  • Export to Python or YAML
Test

Validate performance before anything reaches production. Test pipelines, compare prompts, retrieval strategies, and agent workflows side-by-side, and share prototypes with stakeholders to collect feedback.

  • Playground
  • Prompt Explorer
  • Prototype sharing
  • Feedback Collection
Deploy

Deploy to managed cloud or self-host on your infrastructure. Serverless execution scales automatically and releases compute when runs complete.

  • One-click deployment
  • Serverless autoscaling
  • Cloud or self-hosted
  • REST API
Govern

Track every query, answer, and context in a unified run history. Monitor pipeline performance, identify component-level errors, enforce guardrails, and maintain audit logs.

  • RBAC
  • Unified run history
  • Traces
  • Performance monitoring
  • Usage reports
  • Guardrails

Enterprise-grade security and compliance

Built for financial services, healthcare, and public sector organizations with the strictest security and compliance requirements.

Compliance

SOC 2 Type II certified

ISO 27001 certified

GDPR compliant

HIPAA compliant

CSA Star Level 1

Platform controls

Role-based access control (RBAC)

Audit logs and full traces

Guardrails and policy enforcement

Single sign-on (SSO) support

Cloud or self-hosted deployment

From sovereign infrastructure to enterprise scale

Sovereign AI platform for EU institutions

The European Commission built their AI@EC platform on Haystack to give 68 builders across 29 departments self-service access to deploy generative AI with guardrails, audit trails, and governance workflows designed to support EUDPR requirements and EU AI Act readiness.

316
Pipelines in staging or production
Read Case Study

AI agents for
SAP transformation
at enterprise scale

Bosch deployed an AI assistant giving 600+ consultants across 120+ plants instant access to transformation knowledge built on Haystack's modular orchestration layer with full sovereignty over sensitive operational data. When requirements changed, Bosch swapped LLMs, vector databases, and cloud infrastructure without breaking the production system.

90.2%
Error Resolution Rate
40%
Efficiency Gains
Watch Webinar

Get sovereign AI into production with the engineers who build it.

Forward Deployed Engineers

Our AI engineers work directly with your team to design, build, and deploy production agents on your infrastructure. From context engineering and agent architecture to performance optimization and team enablement, they help you move faster without handing the hard parts to a black box.

They don’t just advise. They build.

Strategy and architecture

Define the right use cases, map them to the right architecture, and create a path from first prototype to production deployment.

Implementation and deployment

Hands-on engineering support to build, integrate, and deploy agents and AI systems that meet your security, data, and infrastructure requirements.

Optimization and enablement

Analyze usage, improve performance, and upskill your team to build and govern AI systems independently.

Connect your stack.
Keep your options open.

Haystack’s open architecture makes components swappable, integrations extensible, and deployment choices flexible so you’re never locked to a single model, vendor, or cloud.

Models
Anthropic
OpenAI
Mistral
Llama
Qwen
DeepSeek
Cohere
Ollama
Groq
Gemini
Custom models
Data & Vector Stores
PostgreSQL
OpenSearch
Snowflake
Qdrant
Weaviate
Pinecone
Elastic
MongoDB
Chroma
Neo4j
Milvus
Tools & Integrations
Hugging Face
GitHub
Langfuse
Weights & Biases
Arize
OpenRouter
Datadog
LiteLLM
Jina
DeepL
Unstructured
Mozilla Thunderbolt
Celonis
Deployment & Infrastructure
NVIDIA
AWS
Azure
HPE
Secunet
Together AI

Ready to build sovereign AI?

Gain full control over your models, infrastructure, and data. From the first prototype to full deployment.

Resources

Jumpstart your AI journey with our comprehensive learning resources.

Blog

Context Engineering: The Next Frontier Beyond Prompt Engineering

Learn how to design and architect the right informational environment for building sophisticated, enterprise-ready AI applications and agents in 2026.

Download the Guide
Guides

Gartner® Innovation Insight: Context Engineering

Download the report to access Gartner Research on how to apply the key principles of Context Engineering to build Al systems that successfully transition from prototype to production.

Download the Report
Guides

Building Sovereign AI Systems for 2026 and Beyond

A practical guide to Sovereign Al, showing how to build resilient, compliant, and flexible Al systems with full ownership and control of your data, models, and infrastructure across the entire lifecycle.

Download the Guide

Frequently asked questions

How do organizations handle governance, access control, and compliance?

The Haystack Enterprise Platform provides role-based access control at two levels, organization and workspace, with preset roles and custom workspace roles for precise control over who can build and access what. Logs are enabled for every pipeline and index by default, supporting audit and troubleshooting. Combined with the open-source foundation, regulated buyers can audit the code itself and demonstrate to a reviewer that the system is under institutional control. The platform is GDPR and ISO 27001 compliant.

What is Haystack?

Haystack is deepset’s open-source AI orchestration framework for building production-ready AI agents, advanced RAG systems, multimodal applications, search, question answering, and other LLM-powered systems. It lets developers structure AI applications as explicit, modular pipelines made of retrievers, routers, memory layers, tools, evaluators, and generators, so each component can be tested, replaced, and improved independently, with full model and data flexibility.

Haystack is designed for a wide range of users, including AI engineers, developers, data scientists, and software developers seeking to build scalable, customizable AI solutions. It caters to technical experts who want fine-grained control over AI workflows and newcomers looking for an intuitive framework to get started with LLM-powered agents and applications.

What is context engineering?

Context engineering is the process of controlling what information, tools, memory, and instructions an AI system can use before it responds or acts.

In RAG and agentic AI, context quality often determines output quality. Haystack Enterprise Platform helps teams design and test how context is retrieved, filtered, ranked, routed, and passed into an AI workflow, so agents can make decisions based on the right information and reduce hallucination.

What is Sovereign AI?

Sovereign AI is AI your organization can build, run, and evolve on your own terms, without being locked into a single vendor, model, or stack.

With deepset, sovereignty means control over what your AI knows, how it acts, where it runs, and how it performs. Use the Haystack Enterprise Platform to build production AI agents on an open, inspectable foundation, deploy them in the environment your organization requires, and keep your architecture portable as models, regulations, and business needs change.

What types of AI services and support does deepset offer?

deepset offers expert enterprise-grade services that combine tailored solutions, onboarding, customer success, and ongoing support to ensure smooth integration, measurable outcomes, and long-term success. Customers praise the Professional Services teams for their expertise, responsiveness, and transparent communication, enabling faster time-to-market and securing impactful results.

How does the Haystack Open Source Framework and the Haystack Enterprise Platform work together?

Haystack, the leading open-source framework for production-grade LLM orchestration, serves as the foundation of the Haystack Enterprise Platform. With the Enterprise Platform, teams can leverage development tools, managed infrastructure, and workflows for quickly ideating, testing, and refining prototypes into production-ready agents and applications. Together, they enable rapid delivery and implementation of mission-critical AI solutions at scale with maximum efficiency and agility.