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Haystack Enterprise Platform
Berlin, Germany
What it is
Haystack Enterprise Platform is an operational layer for building, evaluating, deploying and governing production AI agents and applications. Teams can assemble and debug agents and retrieval-augmented generation (RAG) pipelines with a visual builder, templates, custom components, and retrieval and memory settings. The Playground and Prompt Explorer support comparisons of prompts, retrieval approaches and workflows, as well as prototype sharing and feedback. Deployment options include managed cloud or self-hosting, serverless autoscaling and a REST API. Governance tools include role-based access, run histories, traces, performance monitoring, usage reports and guardrails. The platform lists SOC 2 Type II and ISO 27001 certifications, GDPR and HIPAA compliance, CSA Star Level 1, SSO, audit logs and pipeline isolation. It integrates with named model providers and data stores, and pipelines can be exported as Python or YAML. 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 and requires contacting deepset.
For and against
For
- Visual builder for agents and RAG pipelines.
- Playground and Prompt Explorer support comparisons.
- Managed cloud and self-hosted deployment options.
- Pipelines export as Python or YAML.
- Free Studio plan is available.
Against
- Studio is limited to one user.
- Studio allows two development pipelines.
- Studio file count is capped at 50.
- Enterprise pricing is custom and unlisted.
The verdict
Haystack provides workflow-building, testing, deployment and governance features, with a free Studio option for limited prototyping. Teams considering Enterprise should request pricing from deepset.
Who it suits
Studio is described for individuals prototyping AI applications. Enterprise is aimed at teams building production-grade AI applications that need broader deployment, governance and support options.
Plans and prices
Studio
1 workspace · 1 user · 100 pipeline hours · 50 files (max 10MB per file)
Read 29 Sep 2026 · deepset.ai
Enterprise
Unlimited workspaces · unlimited users · custom package · unlimited files (no size limit)
Read 29 Sep 2026 · deepset.ai
On the record
- 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 · read 29 Sep 2026
- Deployment
- Users can deploy to managed cloud or self-host on their infrastructure, with serverless autoscaling and a REST API.deepset.ai · read 29 Sep 2026
- Enterprise pricing
- The Enterprise plan is listed as “Custom” and directs prospective customers to contact deepset.deepset.ai · read 29 Sep 2026
- Governance
- Governance features include role-based access control, unified run history, traces, performance monitoring, usage reports, and guardrails.deepset.ai · read 29 Sep 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 · read 29 Sep 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 · read 29 Sep 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 · read 29 Sep 2026
- Purpose
- The platform is an enterprise operational layer for building, evaluating, deploying, and governing production AI agents and applications.deepset.ai · read 29 Sep 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 · read 29 Sep 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 · read 29 Sep 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 · read 29 Sep 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 · read 29 Sep 2026
