Graphis vs Supernova: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Graphis and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Graphis

Graphis / Graphis AI

Freemium

All-in-one AI workspace that helps designers, marketers, and creators manage AI-driven content projects and collaboration.

AI Content Project Management: Centralized workspace to create, organize, and track AI-driven content projects for campaigns and client work.
Team Collaboration: Shared project spaces and access controls that enable creatives and agency teams to work together on prompts, assets, and iterations.
Creative Workflow Consolidation: Brings prompts, outputs, assets, and project history into a single environment to streamline iteration and review.
Multi-role Support for Agencies: Designed to support agency workflows with organization-level project coordination and client-focused content pipelines.
Built-for-Creatives UX: Interface and tooling crafted by creatives to match the needs of designers, marketers, and content creators integrating AI into their processes.
Simple Authentication and Access: Supports modern sign-in flows (e.g., Google login) for quick team onboarding and access management.
Web-based collaborative workspace for creative teams
AI content project management and organization
Tools to integrate generative workflows into design and marketing tasks
Team accounts and authentication with Google single sign-on
Centralized management of creative projects and assets

Agency Campaign Management: Plan and manage AI-generated assets across client campaigns, keeping briefs, prompts, iterations, and final outputs organized.
Social Content Production: Rapidly generate and iterate social posts, captions, and visuals with a shared workspace for marketers and designers to review.
Creative Iteration and Review: Store AI outputs and version history to enable designers to compare generations, refine prompts, and finalize assets.
Cross-functional Team Collaboration: Allow designers, copywriters, and marketers to co-manage projects, comment on outputs, and align creative direction.
Standardizing AI Workflows: Create repeatable processes for prompt reuse, output curation, and asset management to maintain brand consistency.
Agency Client Delivery: Package and present AI-driven deliverables in organized project spaces for client review and approval.
Agency-level management of AI-generated campaigns and creative projects
Design teams incorporating generative content into production workflows
Marketing teams producing and iterating on AI-assisted assets and copy
Cross-functional collaboration on content projects with centralized access
Organizing and tracking AI-driven creative deliverables for clients

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.

Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.