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SPECIFICTION
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Haystack Enterprise Platform

deepset.ai

Free plan WebAPISelf-hosted
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Spec score 8.0 #13 of 26 in Retrieval-Augmented Generation Tools

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 using a visual builder, templates, custom components and retrieval and memory settings. The Playground and Prompt Explorer support comparisons of prompts, retrieval strategies and agent workflows, as well as prototype sharing and feedback. Deployment options include deepset-managed cloud or self-hosting, with serverless autoscaling and a REST API. Governance tools include role-based access, run history, traces, performance monitoring, usage reports and guardrails. The platform lists SOC 2 Type II and ISO 27001 certifications, GDPR and HIPAA compliance, SSO, audit logs, CSA Star Level 1 and pipeline isolation. Listed model integrations include Anthropic, OpenAI, Mistral, Cohere, Gemini and custom models; data-store integrations include PostgreSQL, Snowflake, Qdrant, Weaviate and Pinecone. Pipelines can be exported as Python or YAML, and models and providers can be changed without rewriting code. Studio is free with stated limits; Enterprise pricing is custom and requires contacting deepset.

Spec sheet

Purpose
The platform is an enterprise operational layer for building, evaluating, deploying, and governing production AI agents and applications.Read 29 Sep 2026 · deepset.ai
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.Read 29 Sep 2026 · deepset.ai
Deployment
Users can deploy to managed cloud or self-host on their infrastructure, with serverless autoscaling and a REST API.Read 29 Sep 2026 · deepset.ai
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.Read 29 Sep 2026 · deepset.ai
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.Read 29 Sep 2026 · deepset.ai
Headquarters
Berlin, GermanyRead 23 Sep 2026 · deepset.ai
Founded
2018Read 23 Sep 2026 · deepset.ai
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.Read 29 Sep 2026 · deepset.ai
Enterprise pricing
The Enterprise plan is listed as “Custom” and directs prospective customers to contact deepset.Read 29 Sep 2026 · deepset.ai
Governance
Governance features include role-based access control, unified run history, traces, performance monitoring, usage reports, and guardrails.Read 29 Sep 2026 · deepset.ai
Interoperability
Pipelines can be exported as Python or YAML, and the platform says models and providers can be swapped without rewriting code.Read 29 Sep 2026 · deepset.ai
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.Read 29 Sep 2026 · deepset.ai
Studio limits
Studio is limited to one workspace, one user, 100 pipeline hours, 50 files of up to 10MB each, and two development pipelines.Read 29 Sep 2026 · deepset.ai
Testing
The platform includes a Playground and Prompt Explorer for comparing prompts, retrieval strategies, and agent workflows, and supports prototype sharing and feedback collection.Read 29 Sep 2026 · deepset.ai

Plans and prices

Studio Free 1 workspace · 1 user · 100 pipeline hours · 50 files (max 10MB per file) · 2 development pipelines · cloud deployment · community support on Discord Read 29 Sep 2026 · deepset.ai
Enterprise Priced on request 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 Read 29 Sep 2026 · deepset.ai

Every Haystack Enterprise Platform plan and price →

Strong points and limits

Strong points

  • Visual builder supports agent and RAG pipelines.
  • Compare prompts and retrieval approaches in dedicated tools.
  • Cloud deployment or self-hosting is available.
  • Pipelines export as Python or YAML.
  • Studio has a free plan.

Limits

  • Studio allows one workspace and one user.
  • Studio limits pipeline hours, files and development pipelines.
  • Enterprise price is custom and not listed.

Who it suits

Studio is described for individuals prototyping AI applications. Enterprise is aimed at teams building production-grade applications that need deployment, governance and support options.

Verdict

Haystack Enterprise Platform combines workflow building and evaluation with deployment and governance options for production AI applications. Studio offers a free entry point with defined limits, while Enterprise requires a custom quote.

Where Specifiction places it

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