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

A side-by-side comparison of Graphis and Radar — 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

Particle (Mina Labs, Inc.)

Paid

A podcast search engine and API that transcribes 130,000+ shows so people and AI agents can search, quote and monitor what was actually said.

Semantic Podcast Search: Query 130,000+ transcribed shows by topic, company or person and get back the exact passage rather than a whole-episode match.
Timestamped Clip Extraction: Radar pre-selects notable, self-contained clips with timestamps so you can listen to or read a specific moment without the full episode.
Entity Recognition and Tracking: Speaker labels plus tagged people, companies, brands, products and topics let you follow a single entity across the whole podcast corpus.
Configurable Alerts: Mention alerts arrive by email, Slack or webhook in real time or as a daily or weekly digest, filterable by guest, topic or top-podcasts-only.
Podcast Ad Search Engine: Find every episode where a given company advertises and track how that spend trends over time.
API and MCP Access: The same intelligence is exposed programmatically so AI agents — otherwise blind to audio — can read and reason over spoken content.
Podcast Analytics Layer: Listener ratings and reviews, chart rankings, audience-size estimates, sponsorship data, political bias analysis and brand suitability scoring.
Daily Index Refresh: About 20,000 new episodes are transcribed and added every day, covering all Apple Top 200 shows across 135 verticals.

Investment Research: Hedge funds pull statements executives make on podcasts that never surface in filings or text-based web crawls.
Grounding AI Agents in Audio: Developers connect the MCP or API so their agents can cite what was actually said on a podcast instead of only web text.
Brand and Reputation Monitoring: Set alerts on a company or product name and get notified whenever it is mentioned across top shows.
Competitive Ad Intelligence: Marketers audit where a competitor advertises, on which shows, and how that footprint changes over time.
Journalism and Fact-checking: Reporters locate the exact quote and timestamp behind a claim attributed to a podcast appearance.
Academic and Market Research: Researchers study how a topic or entity is discussed across a large, structured corpus of spoken media.