TLDR
Key Metrics:
Today, we’re introducing Haystack Enterprise Platform, the next evolution of what was previously known as the deepset AI platform.
Built on the same Haystack foundations trusted by developers and enterprises worldwide, this change brings our enterprise offering into clearer alignment with the Haystack ecosystem and reflects the maturity of the platform as a production-ready system for building and running enterprise AI.
This change reflects how our technology, our customers, and the AI ecosystem have evolved. It’s not a shift in direction, but a clearer expression of what we’ve been building and who we’re building it for.
Why the Change?
Enterprises are moving beyond isolated AI experiments toward portfolios of production AI applications: RAG systems, agents, and multimodal workflows that must be governed, secured, and operated at scale. This shift requires a shared, open foundation paired with enterprise-grade tooling for building and running AI consistently across the organization.
Haystack has emerged as that foundation. What began as an open-source framework for developers has evolved into the architectural backbone for enterprise AI. From the start, our enterprise platform has been built on Haystack, extending its modular, developer-first architecture with the operational, governance, and scalability capabilities enterprises need.
As the market has matured, the close relationship between the open-source framework and the enterprise platform has become central to how customers build and run AI in practice. Applying the Haystack name to both reflects this reality.
By renaming the platform to Haystack Enterprise Platform, we are uniting our offerings under a single, cohesive product family—reflecting the reality that at this stage, enterprise AI success depends on a shared foundation: one that developers can build on and enterprises can operate, secure, and govern.
This alignment:
- Reflects the shared foundation that developers build on and enterprises run in production
- Improves clarity for customers, partners, and the broader Haystack community
- Reinforces Haystack as the foundation for building and operating enterprise-grade AI at scale
In short, the new name reflects how enterprise teams build, scale, and govern AI in practice.
The Haystack Logo: What Changed and Why
Alongside the naming change, we’re introducing an updated Haystack visual identity, including a refreshed logo and overall look and feel.
This is more than a visual update. It reflects how Haystack is used today and how the ecosystem has evolved, from a framework into a foundation that spans our entire product family, from open source to enterprise.
Haystack Open Source, Haystack Enterprise Starter, and Haystack Enterprise Platform now share a single visual identity as part of one cohesive ecosystem.
The updated design reflects a focus on orchestrating complete AI systems, while staying true to core values of openness, transparency, and control.
Built With and For the Haystack Community
Haystack would not be what it is today without its vibrant global developer community.
From first-time contributors to long-term maintainers, the Haystack community has played a central role in shaping the framework in driving innovation, extending integrations, and pressure-testing Haystack in real-world enterprise environments. Your feedback, pull requests, discussions, and use cases continue to influence how Haystack evolves.
The introduction of Haystack Enterprise Platform does not change this relationship, it strengthens it. By building our enterprise platform directly on Haystack, we are investing more deeply in the open-source core, ensuring it remains the foundation for everything we ship.
Our commitment to Haystack as an open-source project and to the community behind it, is not just ongoing, but growing.
The Haystack Product Family
The Haystack product family supports the full lifecycle of enterprise AI adoption, from early development to production and organization-wide scale. It includes Haystack Open Source, Haystack Enterprise Starter, and Haystack Enterprise Platform. Each offering is designed to meet teams where they are today, and to support their next stage of adoption. Below is a closer look at each offering.
What Is Haystack?
Haystack is deepset’s leading open-source AI orchestration framework that enables Python developers to build sophisticated, production-ready AI applications.
It allows teams to design modular pipelines using a rich ecosystem of integrations, while retaining full flexibility to add custom components and emerging tools such as MCP. Haystack provides granular control over the AI stack, with well-defined APIs and production-grade capabilities that support reliable deployment across cloud and on-premise environments.
Haystack is commonly used to build:
- Autonomous agents
- Advanced, scalable RAG systems
- Multimodal AI applications
- Search features and more
Designed for real-world use, Haystack helps teams move from experimentation to production using a single, consistent framework without sacrificing control, transparency, or architectural clarity.
What Is Haystack Enterprise Starter?
Haystack Enterprise Starter combines the Haystack open-source framework with enterprise support and engineering expertise.
It helps teams move from AI exploration to their first production AI applications—reducing implementation risk and accelerating time to value through:
- Dedicated consulting and support
- Secure pipeline and deployment design guidance
- Access to a private GitHub repository with production-ready pipeline templates, Helm charts, and Kubernetes deployment guides
- A clear path to expand as requirements evolve
Designed as a stepping stone to production, Enterprise Starter meets teams where they are today while preparing them for broader, multi-use-case adoption.
Haystack Enterprise Starter was formerly known as Haystack Enterprise.
What Is Haystack Enterprise Platform?
Haystack Enterprise Platform is a production AI orchestration platform that closes the gap between AI experimentation and enterprise-scale deployment.
It provides a shared foundation for AI, IT, business, and compliance teams to build, operate, and scale production AI systems across complex data, multiple use cases, and diverse environments, without fragile deployments or one-off solutions.
Key capabilities include:
- Composable, repeatable pipeline orchestration with visual, code-aligned design
- Turnkey indexing and retrieval for accuracy over complex enterprise data
- Integrated testing and evaluation to improve performance and trust
- Enterprise-grade governance, access control, and auditability
- Scalable deployment across cloud and on-premise environments
Built on a proven open-source foundation and validated in real-world deployments, Haystack Enterprise Platform enables organizations to move to a reliable, organization-wide AI capability.
Looking Ahead
With these changes, we’re bringing greater clarity and continuity to the Haystack ecosystem, from the open-source framework developers build on, to the enterprise support and platform tools teams rely on in production.
The Haystack product family now provides a clear path from development to enterprise-scale AI, supported by a unified name, visual identity, and shared technology foundation. This reflects a simple reality of enterprise AI today: long-term success depends on open, modular frameworks paired with production-grade tooling, infrastructure, and support.
We’re committed to continuing to innovate on Haystack as both an open-source project and an enterprise platform - connecting community, customers, and partners in a single ecosystem and enabling the next generation of enterprise AI applications.
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