AI Tool
deepset AI Platform pricing, features, company info, and alternatives
A factual product page for deepset AI Platform and deepset Studio.
Last updated April 2026 · Pricing and features verified against official documentation
Pricing
Current public pricing tiers on file for deepset AI Platform, last verified Apr 25, 2026.
Studio
$0 / month
Free community edition for prototyping; includes 1 workspace, 1 user, 100 pipeline hours, 50 files (max 10 MB each), 2 development pipelines, cloud deployment, and Discord support.
Enterprise
Custom
Custom pricing for production use; includes unlimited workspaces, unlimited users, unlimited files, unlimited development pipelines, unlimited production pipelines, cloud or custom deployment, and dedicated support.
What You Can Do With It
The main capabilities that shape how people use deepset AI Platform today.
Visual pipeline builder, Prompt Explorer, Playground, jobs, templates, and shareable prototypes for iterative development.
Groundedness observability, logs, search history, and feedback collection for evaluation and review.
REST API access, plus export to Python or YAML for portability across environments.
Cloud, VPC, and on-prem deployment options with SSO and role-based access control.
Best For
Who deepset AI Platform is most clearly built for.
Teams that need one platform for prototyping, evaluating, and deploying LLM applications and agents.
Organizations that want built-in observability and stakeholder testing before production rollout.
Buyers that need deployment flexibility across cloud, VPC, or on-prem environments.
Company
Leadership and company context for deepset.
CEO
Milos Rusic
Founders
Milos Rusic, Malte Pietsch
Headquarters
Berlin, Germany; New York City, NY, United States
Platforms
Where you can use deepset AI Platform today.
Web
REST API
Python SDK
CLI
MCP server
Privacy Notes
Publicly stated data-handling notes that matter when evaluating deepset AI Platform.
The privacy policy says personal data processing follows GDPR and that deepset GmbH uses technical and organizational measures to protect personal data.
The terms say deepset maintains security safeguards for customer data and limits personnel access to what is needed to provide the service, address technical problems, or comply with law.
The data-flow docs say uploaded files are stored in deepset's AWS S3 bucket, and the platform uses separate EU and US API base URLs.
Compliance
Public compliance or enterprise-governance signals we found for deepset AI Platform.
SOC 2 Type II
ISO 27001
GDPR
HIPAA
CSA STAR Level 1
Access
How to integrate or build around deepset AI Platform.
Public API
Yes
Docs
Available
Alternatives
Other tools worth considering alongside deepset AI Platform.
Open-source platform for building AI apps, agents, and RAG workflows.
Enterprise AI agent platform for building, governing, and deploying workflows on company data.
AI agent platform for building, deploying, and monitoring business chat and workflow agents.
API-first platform for building and operating serverless AI agents with memory, tools, threads, and workflows.
Product Snapshot
deepset AI Platform is a SaaS platform for building, evaluating, deploying, and monitoring LLM applications and agents. deepset Studio is the free community edition for prototyping.
What You Can Do With It
- Build and test pipelines with Pipeline Builder, Prompt Explorer, Playground, templates, and jobs.
- Share prototypes with colleagues and collect feedback without requiring them to create an account.
- Deploy through a REST API, or export pipelines as Python or YAML for use outside the platform.
- Monitor groundedness, logs, search history, and usage as you move from prototype to production.
Pricing
- Studio costs $0 and is positioned for individual prototyping.
- Enterprise uses custom pricing for production deployments.
- The published Studio limits include 1 workspace, 1 user, 100 pipeline hours, 50 files, and 2 development pipelines.
- The Enterprise plan publishes unlimited workspaces, users, files, development pipelines, and production pipelines, plus custom deployment options.
Company Context
deepset says it started in 2018 and later developed Haystack, the open-source framework that underpins the platform. The company lists Milos Rusic as CEO and co-founder, and Malte Pietsch as CTO and co-founder. It lists offices in Berlin and New York City.
Trust and Access
- deepset publishes a privacy policy under deepset GmbH and states that personal data processing follows GDPR.
- The terms say deepset maintains security safeguards for customer data and restricts employee access to what is needed to provide the service, address technical problems, or comply with law.
- Public trust signals on the official site include SOC 2 Type II, ISO 27001, GDPR, HIPAA, and CSA STAR Level 1.
Best Fit
- Teams that need one platform for prototyping, evaluating, and deploying LLM applications and agents.
- Organizations that want built-in observability and stakeholder testing before production rollout.
- Buyers that need deployment flexibility across cloud, VPC, or on-prem environments.
Tradeoffs To Know
- The free Studio tier is tightly limited compared with Enterprise.
- Public pricing stops at Studio and Enterprise; there is no published mid-tier plan.
- Official docs still mention the older deepset Cloud name in some places during the transition to deepset AI Platform.
Sources
- deepset.ai/pricing
- deepset.ai/about
- deepset.ai/privacy-policy
- deepset.ai/contact-us
- deepset.ai/products-and-services/deepset-ai-platform
- docs.cloud.deepset.ai
- docs.cloud.deepset.ai/reference/quick-reference
- docs.cloud.deepset.ai/reference/api-overview
- docs.cloud.deepset.ai/docs/working-with-the-sdk
- docs.cloud.deepset.ai/docs/using-the-command-line-interface-cli
- docs.cloud.deepset.ai/docs/using-deepset-mcp-server
- deepset.ai/terms-and-conditions
- docs.cloud.deepset.ai/docs/data-in-deepset-cloud
- deepset.ai