Vellum
by Vellum AI
Repositioned in 2026 to a "Personal Intelligence" product priced on compute plus credits. Through early 2026 it was an LLM application development platform (Prompt IDE, evaluations, workflows). Vellum was repositioned in 2026 and now presents a product described as "Vellum: Your Personal Intelligence", priced on compute plus pay-as-you-go credits. Through early 2026 it was an LLM application development platform for versioned prompts, evaluations, and deployment, which is retained below as a historical record.
Performance Scores
1 ranking evaluated
Score range: 8.4 – 8.4
-
#1Best LLM App Platforms for Building AI Agents in 2026
Score: 8.4 · Best for: Product and ML teams shipping evaluated LLM features into production at mid-market and enterprise scale.
Key Facts
pricing
| Attribute | Value | As of | Source |
|---|---|---|---|
| Vellum pricing (July 2026) | As of July 2026, vellum.ai presents a product described as "Vellum: Your Personal Intelligence," priced on compute (vCPU/RAM) plus storage add-ons plus pay-as-you-go credits ($1 = 1 credit): Base (Free, 1 vCPU / 2 GiB + 4 GiB storage), Pro (from ~$50/mo, larger machine), and a self-hosted open-source option. This is a different model from the earlier LLM-application-development platform (Prompt IDE, Evaluations, Workflows) that carried a ~$500/mo Pro tier — the product appears to have changed; verify the current offering at the source. | Jul 2026 | Vellum pricing |
General
| Attribute | Value | As of | Source |
|---|---|---|---|
| Status | Repositioned in 2026: vellum.ai now presents a "Personal Intelligence" product (compute plus credits). It was an LLM-application-development platform (Prompt IDE, evaluations, workflows) through early 2026, retained here for reference. | Jul 2026 | Automation Atlas editorial |
| Pricing | As of July 2026: Base plan free (Small machine 1 vCPU/2 GiB, 4 GiB storage, no credit card); Pro is a $10/month platform fee plus configurable add-ons — compute Medium +$35, Large +$60, XL +$125/mo and storage +$5 to +$120/mo (the page's example Pro configuration totals $50/month); usage credits billed separately pay-as-you-go at $1 = 1 credit on both plans; assistant is open source (MIT) with free self-hosting. Pre-pivot dev-platform pricing (Free $0 / Pro $25/mo / Business $50–$79 per user/mo, as archived Dec 2025–Mar 2026) is retired. | Jul 2026 | Vellum pricing page (live, verified 2026-07-23; historical tiers from web.archive.org snapshots 2025-12-12 and 2026-03-02) |
| Capabilities | Personal AI assistant skills: email triage, calendar, meeting prep, delegation, research, travel booking; memory system and plugin hub (as of July 2026, post-pivot) | Jul 2026 | Vellum homepage |
| Founded | 2023 | Apr 2026 | Y Combinator |
| Key Differentiator | Y Combinator-backed; pivoted May 2026 from an LLM dev platform to a personal AI assistant with a layered memory system; $25M raised from Dharmesh Shah, Arash Ferdowsi, Rebel Fund, YC | Jul 2026 | Vellum blog — Introducing Vellum (May 7, 2026) |
Strengths
- ●Built-in evaluation harness with human review and regression testing
- ●Production-grade prompt versioning and rollout controls
- ●SOC 2 Type II with audit logs and RBAC
- ●Multi-model routing across OpenAI, Anthropic, Google, and self-hosted endpoints
Limitations
- ●Pricing oriented to mid-market and enterprise — limited free tier
- ●Lighter on prebuilt SaaS connectors than agent-first platforms
- ●Workflow visual builder is less mature than dedicated agent builders
Based on evaluations in 1 ranking: Best LLM App Platforms for Building AI Agents in 2026
Pricing Plans
Base (Free)
Small machine (1 vCPU, 2 GiB) + 4 GiB storage + PAYG credits
- ✓Entry compute + storage
- !Pay-as-you-go credits ($1 = 1 credit)
Pro
From ~$50/mo; compute (vCPU/RAM) + storage add-ons + PAYG credits
- ✓Larger machine, more storage
- !Credits billed pay-as-you-go
Self-hosted (open source)
Open source; you run the infrastructure
- ✓Self-managed deployment
About Vellum
Vellum was repositioned in 2026 and now presents a product described as "Vellum: Your Personal Intelligence", priced on compute plus pay-as-you-go credits. Through early 2026 it was an LLM application development platform for versioned prompts, evaluations, and deployment, which is retained below as a historical record.
As of 2026, vellum.ai markets an assistant-style product priced on compute (vCPU and RAM) plus storage plus pay-as-you-go credits, with a Base free tier, a Pro tier from about $50/month, and a self-hosted open-source option. This is a different product from the LLM-application-development platform described below. If you are evaluating an LLM-ops or prompt-engineering platform, confirm the current product at the source before relying on either framing (see the Vellum pricing answer for detail).
Historically (founded 2023 in San Francisco, through early 2026), Vellum was an LLM application development platform targeting engineering teams that needed versioned prompts, evaluation pipelines, and deployment infrastructure for shipping AI features into production. That platform combined a Prompt IDE for testing variants across providers (OpenAI, Anthropic, Google, Azure), an Evaluation suite for regression-testing prompt changes against test cases, a Workflows visual builder for chaining LLM calls with code, retrieval, and conditional logic, and a Deployments layer with versioning, monitoring, and request logs. It supported retrieval-augmented generation through managed vector indexes. Its pre-pivot pricing was a free Developer tier, paid Pro plans around $500/month, and custom Enterprise (per public docs, early 2026); as of July 2026 the pivoted personal-assistant product offers a free Base plan and a Pro plan from a $10/month platform fee plus compute and storage add-ons (vendor example configuration about $50/month), with MIT-licensed self-hosting.
Integrations (4)
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AI Agent PlatformsSee How It Ranks
Best AI Agent Builders for Non-Developers in 2026
A ranked list of the best AI agent builders for non-developers in 2026. This ranking evaluates platforms that let operations, marketing, and customer-success teams construct multi-step AI agents without writing production code. The shortlist includes Lindy, Gumloop, Relay.app, Relevance AI, and Dust. Tools were evaluated on visual agent design, model and tool integration, observability and debugging, pricing accessibility, and documentation depth. Stack AI and Magic Loops were considered but excluded where the platform was not present in the database at evaluation time.
Best LLM App Platforms for Building AI Agents in 2026
A ranked list of platforms for building LLM-powered applications and AI agents in 2026. This ranking covers tools that combine prompt engineering, model orchestration, retrieval-augmented generation, tool calling, and deployment into a single workflow for product and engineering teams. Entries span low-code agent builders (Gumloop, Lindy, Relevance AI), code-first orchestration (CrewAI), open-source visual builders (Langflow), enterprise prompt engineering platforms (Vellum), and team-oriented agent suites (Dust). Scoring reflects developer experience, model and integration breadth, pricing, governance posture, and runtime reliability.
Questions About Vellum
What is the best LLM app platform in 2026?
As of April 2026, the leading LLM app platforms are LangChain (most-used Python and JS framework), Vellum (production prompt and eval platform), Langflow (open-source visual builder), Dust (workspace assistants), and LlamaIndex (data-framework for RAG). Choice depends on visual versus code preference and whether teams need eval, RAG, or workspace assistants.
What are the best Langflow alternatives in 2026?
As of April 2026, the leading Langflow alternatives are Flowise (open-source LangChain UI), LangChain itself (code-first SDK), Vellum (production prompt and eval platform), n8n with AI nodes (general workflow plus LLM steps), and CrewAI (multi-agent orchestration in Python). Choice depends on visual versus code preference and whether teams need agents or chains.
What are the best Vellum alternatives in 2026?
As of April 2026, the leading Vellum alternatives are Langflow (open-source visual LangChain builder), LangSmith (LangChain observability and eval), Dust (workspace-grade AI assistants), Relevance AI (low-code AI agents), and Humanloop (prompt management and evaluation). Selection depends on whether teams need prompt eval, agent orchestration, or production deployment.
What are the best Dust alternatives in 2026?
As of April 2026, the leading Dust alternatives are Relevance AI (low-code AI workforce), Lindy (personal AI assistants), Gumloop (visual AI workflows), Relay.app (human-in-the-loop automations), and Glean (enterprise search and assistants). Choice depends on whether teams want internal assistants, agent workforces, or workflow automation.