Vellum
LLM application development platform
Overview
Vellum is an LLM app development platform — prompt management, evaluations, workflows, observability. Targets product teams shipping LLM features who need rigor beyond ad-hoc prompt engineering. Hosted SaaS with private-deployment options for enterprises.
Use cases
What you can produce with Vellum
- Version prompts in a central registry and compare outputs from multiple models side by side before deploying a change.
- Build a multi-step LLM workflow visually, chaining model calls, conditionals, code steps and API calls into one deployable graph.
- Run an evaluation suite of test cases against a new prompt or model to catch quality regressions before they reach users.
- Upload documents to a managed knowledge base and wire retrieval-augmented generation into an application without building the pipeline yourself.
- Deploy a prompt or workflow change behind a stable API endpoint without shipping new application code.
- Monitor production LLM traffic, inspect individual request traces, and capture end-user feedback for continuous improvement.
- Describe an agent in natural language and have Vellum for Agents scaffold a working agent workflow to refine.
ASEAN Perspective
Vellum in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Vellum is an LLM application development platform combining a visual workflow editor, prompt management/versioning, systematic evaluation and deployment without code redeploys. It is model-agnostic across OpenAI, Anthropic, Google and Cohere, carries SOC 2 Type II and HIPAA compliance, and its evaluation suite is a genuine strength for teams that need to measure and regression-test output quality rather than ship vibes.
It suits cross-functional product teams shipping LLM features who want collaboration between engineers and non-engineers, plus rigorous evals and staging-to-production testing. Caveats: it competes in a crowded, fast-moving space against open frameworks and rival platforms, usage-based pricing can climb with volume, and committed adopters take on platform lock-in. The API and SDK support are solid. Globally available and English-centric, so usable across ASEAN with no region-specific provisions.
What people say
Vellum has grown from a prompt-management niche into a fairly complete LLM-operations platform, and in January 2026 it pushed further with "Vellum for Agents", which assembles agent workflows from a natural-language brief. The company remains independent, is SOC 2 Type II and HIPAA compliant, and offers a free tier alongside hosted and private-deployment options — attributes that matter to the regulated product teams it courts.
User sentiment on review platforms is strongly positive. Reviewers on G2 and Capterra (where it surfaced at around 4.8/5) repeatedly single out two things: prompt versioning with side-by-side model comparison, and customer support that is described as unusually hands-on — teams say Vellum staff help them ship rather than pointing at docs. Teams that previously managed prompts in spreadsheets describe the move as transformative, with several reporting AI feature cycles shrinking from weeks to days because product managers and engineers can iterate in parallel instead of queuing behind one another.
The criticism is more structural than functional. The most common frustration is the seat cap on standard plans — growing teams get pushed into enterprise sales conversations sooner than expected, and at least one independent 2026 review scored Vellum modestly on the grounds that pricing, features and ease of use do not balance well for non-technical teams. Evaluation setup takes real engineering effort to get right, and reviewers note that Vellum's eval suite, while well integrated with its workflows, lags behind dedicated evaluation products on depth.
Vellum fits product teams shipping LLM features to production who want prompts, tests, workflows and monitoring in one governed place — especially in healthcare or other compliance-heavy settings. Solo developers and teams that only need lightweight prompt experiments will find cheaper, simpler options, and anyone expecting a no-code experience should budget for engineering involvement.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Vellum's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Vellum unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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