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Haystack Enterprise Platform
What Haystack Enterprise Platform is
Haystack Enterprise Platform is an operational layer for teams building, evaluating, deploying, and governing production AI agents and applications. A visual builder, templates, custom components, and retrieval and memory settings support agent and RAG pipeline creation and debugging. Teams can compare prompts, retrieval strategies, and workflows in the Playground and Prompt Explorer, then share prototypes and gather feedback. Deployment can use deepset's managed cloud or a team's own infrastructure, with serverless autoscaling and a REST API. Governance includes role-based access, run history, traces, performance monitoring, usage reports, and guardrails. The platform lists SOC 2 Type II and ISO 27001 certification, GDPR and HIPAA compliance, CSA Star Level 1, SSO, audit logs, and pipeline isolation. Integrations include models such as Anthropic, OpenAI, Mistral, Cohere, and Gemini, and data stores such as PostgreSQL, Snowflake, Qdrant, Weaviate, and Pinecone. Pipelines can be exported as Python or YAML, and providers can be switched without rewriting code. The free Studio plan is limited to one workspace, one user, 100 pipeline hours, 50 files of up to 10MB each, and two development pipelines. Enterprise pricing is custom; deepset offers onboarding, customer success, and ongoing support.
Who it suits
Studio is described for individuals prototyping AI applications. Enterprise is aimed at teams building production-grade AI applications that need deployment, governance, and enterprise support.
What it does well
- Visual builder supports agents and RAG pipelines.
- Playground and Prompt Explorer compare prompts and workflows.
- Deploy to managed cloud or self-hosted infrastructure.
- Pipelines export as Python or YAML.
- Lists SOC 2 Type II and ISO 27001 certification.
What to know first
- Studio is limited to one workspace and one user.
- Studio allows 100 pipeline hours.
- Studio permits 50 files, up to 10MB each.
- Enterprise pricing is custom.
Limits
Studio includes one workspace, one user, 100 pipeline hours, 50 files of up to 10MB each and two development pipelines. Enterprise pricing is custom; its listed plan includes unlimited workspaces, users, files and development and production pipelines.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Studio | 1 workspace · 1 user · 100 pipeline hours · 50 files (max 10MB per file) · 2 development pipelines · cloud deployment · community support on Discord | Free |
| Enterprise | Unlimited workspaces · unlimited users · custom package · unlimited files (no size limit) · unlimited development and production pipelines · cloud or custom deployment · dedicated account team, solution engineers and private Slack channel | On request |
As deepset.ai lists them, read 29 Sept 2026. The maker's own page has the final word.
Getting started
- Visit the Haystack Platform website.
- Choose the free Studio plan for individual prototyping or contact deepset about Enterprise.
- Use the web platform or API, or self-host on your infrastructure.
- Build agent or RAG workflows with the visual builder, templates and components.
- Deploy to managed cloud or your own infrastructure.
Verdict
Haystack Enterprise Platform combines tools for developing, evaluating, deploying, and governing AI applications, with cloud and self-hosted deployment options. Studio has defined workspace, user, and usage limits; Enterprise pricing requires contacting deepset.
Questions
Is there a free plan?
Yes. Studio costs nothing and includes one workspace, one user, 100 pipeline hours, 50 files of up to 10MB each and two development pipelines.
Is there a free trial?
Yes, a free trial is listed.
What does Enterprise cost?
Enterprise is listed as Custom, and prospective customers are directed to contact deepset.
Which platforms are available?
The listed platforms are API, self-hosted and web.
Which integrations are listed?
Model integrations include Anthropic, OpenAI, Mistral, Cohere, Gemini and custom models. Listed data stores include PostgreSQL, Snowflake, Qdrant, Weaviate and Pinecone.
Who makes Haystack Enterprise Platform?
It is offered by deepset, which lists tailored enterprise services including onboarding, customer success and ongoing support.
Facts from Haystack Enterprise Platform's own pages
- Agent and RAG workflows
- Teams can compose and debug agents and RAG pipelines with a visual builder, templates, custom components, and retrieval and memory configuration. · deepset.ai, 29 Sept 2026
- Deployment
- Users can deploy to managed cloud or self-host on their infrastructure, with serverless autoscaling and a REST API. · deepset.ai, 29 Sept 2026
- Enterprise pricing
- The Enterprise plan is listed as “Custom” and directs prospective customers to contact deepset. · deepset.ai, 29 Sept 2026
- Founded
- 2018 · deepset.ai, 23 Sept 2026
- Governance
- Governance features include role-based access control, unified run history, traces, performance monitoring, usage reports, and guardrails. · deepset.ai, 29 Sept 2026
- Headquarters
- Berlin, Germany · deepset.ai, 23 Sept 2026
- Integrations
- The platform page lists model integrations including Anthropic, OpenAI, Mistral, Cohere, Gemini, and custom models, plus data stores including PostgreSQL, Snowflake, Qdrant, Weaviate, and Pinecone. · deepset.ai, 29 Sept 2026
- Intended users
- The Enterprise plan is described as suitable for teams building production-grade AI applications, while Studio is described for individuals prototyping AI applications. · deepset.ai, 29 Sept 2026
- Interoperability
- Pipelines can be exported as Python or YAML, and the platform says models and providers can be swapped without rewriting code. · deepset.ai, 29 Sept 2026
- Purpose
- The platform is an enterprise operational layer for building, evaluating, deploying, and governing production AI agents and applications. · deepset.ai, 29 Sept 2026
- Security and compliance
- The page lists SOC 2 Type II and ISO 27001 certification, GDPR and HIPAA compliance, CSA Star Level 1, SSO, audit logs, and pipeline isolation. · deepset.ai, 29 Sept 2026
- Studio limits
- Studio is limited to one workspace, one user, 100 pipeline hours, 50 files of up to 10MB each, and two development pipelines. · deepset.ai, 29 Sept 2026
- Support
- deepset offers tailored enterprise services including onboarding, customer success, and ongoing support; the Enterprise pricing plan also lists a dedicated account team, solution engineers, and a private Slack channel. · deepset.ai, 29 Sept 2026
- Testing
- The platform includes a Playground and Prompt Explorer for comparing prompts, retrieval strategies, and agent workflows, and supports prototype sharing and feedback collection. · deepset.ai, 29 Sept 2026