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Vellum

LLM Agents & RAG · Automation & Workflow · Natural Language ProcessingSan Francisco, USAFounded 2023

Platform building autonomous AI agents to automate repetitive operational tasks by integrating with over a thousand SaaS tools and leveraging GPT-driven reasoning.

4.8
Average rating
12
Mapped reviews
100%
Profile coverage

Company & commercials

Primary category
LLM Agents & RAG
Team size
25-50 employees
Typical budget
$10K - $50K
Primary industry
Technology, Software & Digital Infrastructure
Provider overview

A clear view of what Vellum does best.

Structured from supplied company information and mapped to RankGlobal's controlled AI and industry taxonomy.

Company profile
LLM Agents & RAG provider for Technology, Software & Digital Infrastructure

Platform building autonomous AI agents to automate repetitive operational tasks by integrating with over a thousand SaaS tools and leveraging GPT-driven reasoning. RankGlobal maps its primary capability to Generative AI Development within LLM Agents & RAG, with supporting relevance to Large Language Models, API & System Integration. Its strongest supplied industry signals align with Software & SaaS, National Security & Intelligence.

See how this profile was mapped →
Primary AI category
LLM Agents & RAG
Strongest industry signal
Technology, Software & Digital Infrastructure
Engagement profile·$10K - $50K·25-50 employees·Service
Mapped capabilities · 6 categories
Technology

Platforms, methods and technical signals

Large Language Models (GPT-4)Vellum workflow frameworkSaaS API integrations (1000+)

Tools and platforms named in Vellum's supplied company profile.

Expertise

Named expertise on file

  • Natural Language Processing

    Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language.

    LLMPrompts
  • Software Development

    Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.

    AI DevAPIs
  • Artificial Intelligence

    Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, especially computer systems.

    Generative AIModels
RankGlobal provider intelligence
Analyst brief

Mapped Evidence Report

A decision-support view of Vellum, built from mapped taxonomy signals, evidence confidence, commercial profile and reviews.

Primary feed set
LLM Agents & RAG
Compared with
933 providers
Evidence signals used
3 signals
Publication status
Published
Structured evidence signal
100/100
Strong evidence
60th percentile of 933 peers · peer median 100
Profile coverage100
Taxonomy density100
Review signal100
Peer benchmark
How the profile compares

LLM Agents & RAG among 933 published providers

Average rating4.80 · median 4.83
Mapped reviews12 · median 10
Profile completeness100% · median 100%
Taxonomy breadth24 · median 21
Signal radar
Multi-dimensional evidence
RatingReviewsCoverageBreadth
This profile (percentile) Peer median
Capability mix
Mapped category signal
LLM Agents & RAG100%
Automation & Workflow96%
Natural Language Processing96%
Predictive Analytics96%

Imported mapping confidence for each category — not a share of work, revenue, or delivery volume.

Mapped industries
3 industries on the map
3
Technology, Software & Digital Infrastructure60%
Aerospace, Defense & Space20%
Personal, Household & Community Services20%

Share of mapped industry rows on the taxonomy map — not share of work or revenue.

Evidence mix
Mapping grades
Direct46% · 11
Supported38% · 9
Related4% · 1
Adjacent13% · 3

Imported mapping grades across 24 taxonomy mappings — not a search ranking.

RankGlobal analyst interpretation

What the mapped signals say

Vellum presents as a strong evidence profile for LLM Agents & RAG. It ranks in the 60th percentile of 933 published providers in LLM Agents & RAG, and 12 reviews back the commercial profile.

Current positioning: P60 evidence quality · P70 industry breadth
Strongest signals
Evidence-backed strength in LLM Agents & RAG is the profile's clearest signal in the mapped taxonomy.
Best user fit
Technology, Software & Digital Infrastructure buyers evaluating LLM Agents & RAG at a $10K - $50K engagement size.
Confirm before engagement
Confirm current delivery capacity directly — mapped signals reflect profile evidence, not live availability.
Client feedback signals
12
Reviews
4.8
Average rating
0
Publicly reshared
Published
Listing status
How this report is calculated →
Capabilities

Evidence-led AI expertise.

Capabilities are listed with their mapping grade (Direct, Supported, Related, or Adjacent).

Industry experience

Where this expertise is most relevant.

Industry mappings are organized by evidence strength so buyers can distinguish demonstrated alignment from broader search relevance.

5 mapped subindustries
Direct
National Security & Intelligence

Source industry: Artificial Intelligence

88% mapping confidence
Client feedback

What clients say.

Reviews and ratings published for this provider.

If I'm reviewing a prompt comparison, I can share it instantly, and my team can see exactly what I'm looking at.

Xinchi Qi, Co-Founder

Engineering iteration cycle is all that matters. We've increased developer productivity of building LLM related features by at least 3 times.

Jonathan Gray, Chief Executive Officer
5
Scaling Engineering Teams via Expert Prompt Engineering

Vellum is the gold standard for LLM development. Their prompt engineering environment and versioning are top-notch and have helped our engineering team scale efficiently.

Akash Sharma
5
Efficient LLM Workflow Iteration and Prompt Versioning

Vellum makes it incredibly easy to iterate on prompts, manage versioning, and compare outputs across different models. It is the best way to iterate on LLM workflows.

Nathan S.
5
Accelerating Deployment of Production-Ready AI Features

Vellum has significantly reduced the time it takes for us to deploy production-ready AI features. Their playground and evaluation tools are second to none in the market.

Siddarth S.
5
Simplifying Multi-Provider LLM Abstraction

A powerful abstraction layer for LLMs. It handles the complexities of different provider APIs so we can focus on building high-value features for our own users.

Mike G.
5
Testing and Evaluating LLM Outputs at Scale

The best tool we've found for testing and evaluating LLM outputs at scale. Essential for our production workflows and ensuring quality across model updates.

Eric L.
5
Managing AI Model Lifecycles via Robust Infrastructure

Vellum provides a robust platform for prompt engineering and managing the lifecycle of AI models. It has become a core part of our AI infrastructure stack.

Verified User
5
Preventing Prompt Regressions via Expert Evaluation Suites

The evaluation suites in Vellum are a game changer. We can confidently update prompts without fearing regressions, which was a huge pain point for us previously.

David K.

10 mapped reviews · 12 published quotes

Showing 9 of 12, ranked by display order then recency.

Rating distribution
5
9
4
1
3
0
2
0
1
0

Ratings aggregate 12 reviews at the average shown above.

Transparent profile intelligence

How RankGlobal maps this profile.

RankGlobal maps this profile against a controlled taxonomy. Mapping grades on capability and industry cards describe how the profile is classified. Source strength for ranking decisions follows the hierarchy published on Research— a mapping grade is not a claim of discoverability weight.

Tier 1 · Authoritative
Regulators, registries, certifications, signed client evidence.
Highest evidentiary weight
Tier 2 · Independent
Credible media, industry bodies, partner directories, third-party datasets.
Strong with attribution and recency
Tier 3 · Provider-controlled
Company site, case studies, press releases, structured submissions.
Accepted as a claim; verification raises weight
Tier 4 · Discovery-only
Directory listings, aggregations, and early discovery signals.
Used for discovery; weighted accordingly in ranking

Direct, Supported, Related and Adjacent appear on mapped cards as classification grades. They do not rank how discoverable a provider should be.

RankGlobal trust center →
Ready to evaluate this provider

Move from discovery to a focused conversation.

Your enquiry goes to the RankGlobal research team, not the provider's sales inbox. Sending it does not affect their ranking.

Before you reach out

What RankGlobal holds on file for Vellum, and the three things worth confirming directly once you're in touch.

Primary category
LLM Agents & RAG
Primary industry
Technology, Software & Digital Infrastructure
Typical budget
$10K - $50K
Team size
25-50 employees
  1. 1
    Name the use case

    Say which LLM Agents & RAG problem you are evaluating, so the research team can route your message accurately.

  2. 2
    Pressure-test the budget band

    The $10K - $50K band on file is a profile-level figure. Ask what a scope like yours actually lands at.

  3. 3
    Ask for a reference

    Request a client reference in Technology, Software & Digital Infrastructure — the strongest industry signal on this profile.

Enquire about Vellum

Three fields. Anything longer belongs on the full contact page, linked below.