Choose deepset when
You want a product-shaped platform for search and RAG and are comfortable adopting the vendor's stack and architectural opinions.
Agentic AI development companies compared
Vstorm vs deepset: which agentic AI partner fits a mid-market company?
deepset builds the open-source Haystack framework and sells a commercial platform around it, with a strong sovereignty and search/RAG profile.
- 30+ agentic deployments
- Official Pydantic partner
- First AI consultancy in the Agentic AI Foundation
The short answer
Choose deepset if you want a product-shaped platform for search and RAG and are comfortable adopting the vendor's stack and architectural opinions. Choose Vstorm if you want the same sovereignty commitment without platform adoption — agents on open-source frameworks you own, architecture designed for your problem rather than shaped by a vendor's product roadmap.
Looking for a deepset alternative? Vstorm is an agentic AI development company for mid-market businesses — 30+ agentic deployments since 2017 across 12 industries, built on open-source frameworks (Pydantic AI, LangChain, LlamaIndex, Haystack) with full ownership transfer. Talk it through with an engineer — 30 minutes, no deck.
deepset vs Vstorm at a glance
| Criterion | deepset | Vstorm |
|---|---|---|
| Model | Framework author + commercial platform around it. | Services on open-source foundations — no platform of our own to sell you into. |
| Sovereignty | Strong sovereignty positioning within their platform. | Equal sovereignty commitment: on-premise capable, model-agnostic, no data leaving your domain — without adopting anyone's platform. |
| Market | Platform customers. | Mid-market challengers — not enterprise programmes, not startup experiments. |
| Ownership | You build within their platform. | Full ownership transfer: your team owns the code, architecture, evaluation suites and runbooks when the engagement ends. |
Statements about deepset reflect its public website as of 2026-07-24; phrasing such as “does not prominently feature” means we could not find it there — not that it is impossible to buy.
Which model fits your situation
Choose Vstorm when
You want the same sovereignty commitment without platform adoption — agents on open-source frameworks you own, architecture designed for your problem rather than shaped by a vendor's product roadmap.
Talk to an engineerStill comparing?
Bring one workflow. We will show you both answers.
In 30 minutes we map how a partner like deepset and Vstorm would each approach your use case — architecture, delivery path and cost shape. Evidence, not slideware.
- 01
Agentic AI transformation strategy
Full transformation — not a platform onboarding.
- 02
RAG engineering
Retrieval pipelines with evals and guardrails — including Haystack when it fits.
Evidence, not adjectives
Results measured against named evaluation sets
Every figure below is a real, published client outcome tied to the test set it was measured against — the same standard we suggest you hold any vendor on this page to.
44% → 98%
Clinical triage — Schmitt-Thompson
Guideline-executing triage lifting a raw LLM from 44% to 98% on the open 50-scenario benchmark — a domain where a wrong answer is a patient-safety event.
95.4%
Workflow success rate — Mixam
The client aimed for 80% accuracy to be usable; the delivered multi-agent product advisor exceeded it in production, with an 11.76% order increase on day 1 of the Australian launch.
2 hrs → 3 min
Workflow generation — Synera
Engineers moved from hours of tedious setup to minutes, through multi-step validation rather than a single generation pass.
FAQ
Vstorm vs deepset — common questions
What is the main difference between Vstorm and deepset?
deepset authors Haystack and sells a platform around it — strong on sovereignty and search/RAG, but you adopt their platform and its architectural opinions. Vstorm delivers the same sovereignty commitment with no platform lock-in: agents run on open-source frameworks you own, and Haystack itself is one of the frameworks Vstorm deploys when it fits the problem.
Decide on evidence
Bring one workflow. Compare the answers.
A 30-minute call maps your use case, the delivery path, and whether a Proof of Value makes sense — before any commitment.