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Vellum
AI development platform for prompts and workflows with evaluation suites, metrics, deployment controls, and regression reporting for LLM apps.
Vellum shut down its Personal Assistant Platform on November 2, 2026, and its site now markets a personal assistant. Vellum’s shutdown notice.
Product and ML teams that need prompt/workflow versioning, test suites, and deployment gates in one LLMOps workspace.
Buyers who only want a narrow eval SDK with rock-clear published eval SKUs, or teams chasing the personal-assistant SKU on the marketing homepage.
Co-founded by Akash Sharma.
Verdict
Vellum fits teams building production LLM apps that need evaluations, metrics, and deployment discipline around prompts and multi-step workflows. Docs still center evaluations and workflows; the consumer-facing site also advertises personal assistant packages, so confirm you are buying the development platform path in procurement. Practitioners like eval reports and workflow versioning; packaging clarity for the enterprise platform is weaker than Braintrust's published developer cards.
Score Breakdown
How Vellum scores in the categories that matter to its buyers.
The Field at a Glance
How Vellum compares with other Eval & quality vendors we reviewed, by Overall Score and relative typical engagement cost.
Vellum scores 7.0 in Eval & quality, under Braintrust (7.8), Confident AI (7.7), HoneyHive (7.7), and Hamming AI (7.5). Relative cost lands mid-band for this subcategory.
Compared with …
- Vellum vs Braintrust 7.8/7.0
- Vellum vs Patronus AI 7.0/6.6
Use-case matrix
| Use case | Fit | Notes |
|---|---|---|
| Prompt & workflow evaluation | Strong | Prompt and workflow evaluation was Vellum's documented product. |
| Deployment and regression gates | Strong | Eval reports and baselines. |
| Narrow offline eval SDK only | Mixed | Possible; Braintrust is eval-native and clearer on pricing. |
| Personal AI assistant as primary buy | Weak | A personal assistant is a different product from evaluation tooling. |
Review Excerpts
Representative buyer views drawn from public information about Vellum. Paid reviews and pay-for-play sites were excluded.
“Side-by-side prompt comparisons made it easy to see which version regressed before we shipped.”
Representative buyer view
“We ran evaluation suites against a test set and gated deployments on the results.”
Representative buyer view
“Public marketing moved to a personal assistant, so we asked whether the evaluation product has a future.”
Representative buyer view
Where customer reviews couldn't be found, our analysts attempted to give a voice to buyer sentiment, drawing on real information from review sites, forums, and product documentation.
Based on: Vellum’s website and Vellum’s shutdown notice
Company Facts
- Founded
- 2023 (Y Combinator)
- Headquarters
- New York City, NY (Y Combinator)
- Employees
- About 23 (Y Combinator)
- Accelerator
- Y Combinator, Winter 2023 batch (Y Combinator)
- Website
- vellum.ai
Key Leadership
Akash Sharma
Co-founder and CEO
Methodology
This page is an independent evaluation of Vellum for buyers comparing options in eval & quality. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Vellum did not pay for this review.
What we scored
The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.
- Buyer outcomes (for eval & quality)
- Eval workflow
- Scorer flexibility
- Release gating
- Team habit fit
- Company & commercial
- Innovation & product leadership
- Project management & communication
- Pricing
- Contract fairness
Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.
Score Composition
| Input | Weight | What it covers |
|---|---|---|
| Reviews | 40% | A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites are out of scope. |
| Product | 35% | Hands-on look at screens and workflows. |
| Pricing | 15% | Whether the price looks fair for what you get. |
| Docs & training | 10% | Docs, tutorials, and training material. |
How we balanced the evidence
The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the use-case matrix above.
Scope
Vellum is graded here as eval & quality. Criteria scores can move as more review volume and product checks are added.