30+ AI models No code required Team workflows Commercial rights Free tier

Phygital+
vs Vellum

Phygital+ and Vellum end up on the same shortlist because both promise a managed way to work with AI models, but they serve different departments. Phygital+ is a node canvas where creative and marketing teams chain 30+ generative models to produce image, video, audio, and text assets.

Vellum is a development platform for product teams shipping AI features: prompt versioning, workflow orchestration, systematic evaluation, and production monitoring for language-model outputs. This page compares Phygital+ vs Vellum on models, media types, tooling, and who each is actually built for.

Phygital+ vs Vellum: short answer

Phygital+ is the better Vellum alternative for creative and marketing teams: 30+ generative models across image, video, and audio on a canvas anyone can run, at a price aimed at a marketing budget. Vellum remains the right platform for product teams shipping LLM features that need prompt versioning, systematic evaluation, and production monitoring.

phygital

Phygital+

Creative & marketing teams building AI workflows

Your output is campaign assets rather than a product feature
Need image, video, and audio models, not just language models
Marketing should run the workflows without engineering support
Want a low entry price and an ongoing free tier
Vellum

Vellum

Product teams shipping AI features

Build LLM features that go into a product and must stay reliable
Need prompt versioning and systematic evaluation across test cases
Want production monitoring and logging of model outputs
Engineering owns the AI layer and is accountable for quality

Phygital+ vs Vellum: at a glance

Phygital + Vellum
Best for Creative & marketing teams building AI workflows Product teams shipping AI features
Category Multi-model AI creative workflow platform LLM development and evaluation platform
Interface Web-based node canvas; no code required Prompt studio, workflows, and test suites
AI models 30+ (image, video, audio, text, 3D) Language models across providers
Media types Image, video, audio, text, 3D Text
Evaluation & testing Not supported Core strength — test suites and scoring
Monitoring Generation history Production logging and metrics
Who runs it Marketers and content teams Product and engineering teams
Pricing model Flat subscription + credits Usage and seat based
Free tier Yes — 500 weekly credits, ongoing Trials rather than an ongoing free plan
Ship into a product API on Enterprise plan Yes — that's the point
Hosting Managed web platform, zero setup Managed SaaS

When to choose Phygital+ vs Vellum

phygital
Your output is campaign assets rather than a product feature
You need image, video, and audio models, not only language models
Marketing should run the workflows without engineering support
You want repeatable creative pipelines with shared projects
A marketing-sized budget and an ongoing free tier matter
You want LoRA training for consistent products or brand style
Commercial rights should come with the plan
Vellum
You're shipping LLM features into a product that must stay reliable
Prompt versioning and systematic evaluation are non-negotiable
You need production monitoring and logging of model outputs
Engineering owns the AI layer and is accountable for its quality
The output is text and structured data rather than media
You need to compare providers and models on your own test cases
Regression testing before a prompt change ships matters

Feature comparison: Phygital+ vs Vellum

Phygital + Vellum
Built-in AI models 30+ across image, video, audio, text, 3D Language models only — no media generation
Image generation ✨ 15+ image models on one canvas ⚠️ Not supported
Video generation ✨ Multiple video models on the canvas ⚠️ Not supported
Audio generation ✨ Speech, dialogue, and sound effects nodes ⚠️ Not supported
Prompt evaluation Not applicable — built for media, not LLM QA Test suites, but no media output to evaluate
Prompt management Prompts per node, saved in projects Versioning, aimed at text prompts only
Monitoring Visual node status and history Logging and metrics, requires setup to read
Visual builder Node canvas with live previews Workflow builder, text-only output
Code requirements None — prompts and templates Assumes engineering involvement
Ship into a product API on Enterprise Built for it, but requires engineering to integrate
Pricing model Flat subscription plus credits Usage and seat based, aimed at product teams
Free tier 500 weekly credits, ongoing Trials and demos rather than an ongoing free plan
Commercial rights Included from Starter plan Depends on your model providers' terms
Custom style training ✨ LoRA training in the workspace ⚠️ Not applicable

Which platform fits which use case

E-commerce product visuals

Phygital+ Phygital+

✓ Generate, upscale, and vary product shots in one pipeline

Vellum

✗ Not a media generation platform

Ad creative production at scale

Phygital+ Phygital+

✓ Batch variants from templates with team review

Vellum

⚠ Copy only; visuals need other tools

Social content pipelines

Phygital+ Phygital+

✓ Image, copy, video, and audio in one workspace

Vellum

⚠ Strong for text, absent for visuals and audio

Brand & identity assets

Phygital+ Phygital+

✓ LoRA training and style consistency across a set

Vellum

✗ Out of scope

Shipping an AI feature in a product

Phygital+ Phygital+

⚠ API access on Enterprise only

Vellum

✓ Core use case — built for exactly this

Prompt testing & regression checks

Phygital+ Phygital+

✗ No evaluation tooling

Vellum

✓ Core strength — test suites and scoring

Non-technical team adoption

Phygital+ Phygital+

✓ Built for marketers and content teams

Vellum

⚠ Developer tooling by design

Transparent pricing

Pricing: Phygital+ vs Vellum

Last verified: August 2026

Phygital+

Free $0/mo — 500 weekly credits
Starter $14.99/mo — 10,000 credits
Pro $58.99/mo — 45,000 credits
Teams $119.99/mo — 90,000 credits
Enterprise Custom — 210,000+ credits

Vellum

Trial Demo and trial access rather than an ongoing free plan
Team tiers Priced by usage and seats
Enterprise Custom — contact Vellum
Model costs Separate — your own provider spend
Aimed at Product and engineering budgets

Switching from Vellum to Phygital+

Vellum
Step 1

Separate campaign work from product work

If a workflow produces campaign content, it belongs on a creative canvas. If it powers a product feature that needs testing and monitoring, it stays in Vellum.

step2
Step 2

Create a Phygital+ workspace

Sign up on the free tier — 500 weekly credits, no credit card. No provider keys, no evaluation harness to configure. Invite the marketing team directly.

Vellum
Step 3

Rebuild the content workflow

Rebuild the content workflow with built-in media nodes: prompt, generate, upscale, export. The steps that needed a provider integration become nodes with parameters already exposed.

Vellum
Step 4

Keep Vellum for product AI

Leave the product AI layer on Vellum. Marketing gets a tool it can run unaided, and engineering keeps the tooling it needs for reliability.

FAQ about Phygital+ vs Vellum

What is Vellum?

Vellum is a development platform for teams building AI features into products. It covers prompt engineering and versioning, workflow orchestration, retrieval, systematic evaluation and testing, and production monitoring, so a team can ship an LLM feature with the same rigour they'd apply to any other software.

Is Phygital+ a Vellum alternative?

For creative production, yes. If you were using Vellum mainly to generate marketing content, Phygital+ does that with image, video, and audio models built into a canvas. It is not an alternative for prompt evaluation, regression testing, or production monitoring of an AI feature.

Can Vellum generate images or video?

Vellum is a language-model platform. Its evaluation and orchestration tooling is designed around text outputs. Generating campaign visuals or voice-over is not what it is for, whereas Phygital+ has 30+ generative media models as nodes.

Does Phygital+ do prompt evaluation?

That is Vellum's core strength and Phygital+ has no equivalent. If your problem is knowing whether a prompt change made outputs better or worse across hundreds of test cases, keep Vellum.

Who is each one for?

Vellum sits with product and engineering teams shipping AI features. Phygital+ sits with marketing and creative teams producing assets. Those are usually different people with different problems, which is why the two rarely compete directly.

Do I need developers to use Phygital+?

No. Phygital+ is built for non-technical users: a visual canvas with prompts, templates, and node connections. Vellum is developer tooling, and using it well assumes engineering involvement.

How does pricing compare?

Vellum is priced for product teams, with tiers by usage and seats and enterprise plans on request. Phygital+ starts free and goes to $14.99 per month for Starter. They are aimed at different budgets because they are aimed at different departments.

Is Phygital+ better than Vellum?

Neither, because they solve different problems. Vellum is better for building and shipping reliable AI features. Phygital+ is better for producing creative assets a marketing team runs itself.

Can a company use both?

They coexist without friction. Product teams ship AI features on Vellum while marketing produces campaign assets in Phygital+, and the two never touch the same workflow.

Compare Phygital+ to other AI creative platforms

See all comparisons

Ready to try The Phygital+?

Build production-ready AI workflows with 30+ models in one workspace — no code, no evaluation harness, no engineering time. Free tier, no credit card required.