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65 Listings in AI Design Available
What is Collov AI? Collov AI is an interior design and virtual staging AI agent offering an AI interior design tool that virtually stages and redesigns rooms from a photo. Collov AI helps real estate agents and homeowners automate interior design and virtual staging work and get results faster. Key capabilities of Collov AI Virtual staging Room redesign Furniture removal Style presets Design option generation Photorealistic renders How Collov AI works Collov AI takes images as input and produces images. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Revit, SketchUp, Rhino and AutoCAD, so the agent works inside existing workflows. Who uses Collov AI? Collov AI is built for real estate agents and homeowners. It suits teams that want virtual staging and room redesign without adding headcount, while keeping people in control of review and final decisions. Collov AI vs Virtual Staging AI Collov AI is often compared with Virtual Staging AI. Collov AI stands out for virtual staging and furniture removal. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Sloyd? Sloyd is a 3D game asset AI agent offering an AI 3D model generator for game-ready props and assets with parametric customization. Sloyd helps game developers automate 3D game asset work and get results faster. Key capabilities of Sloyd Text to 3D Parametric templates Game-ready topology Engine plugins Game-ready assets Export to engines How Sloyd works Sloyd takes text and images as input and produces 3D models. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Unity, Unreal Engine, Blender and Roblox, so the agent works inside existing workflows. Who uses Sloyd? Sloyd is built for game developers. It suits teams that want text to 3D and parametric templates without adding headcount, while keeping people in control of review and final decisions. Sloyd vs Tripo Sloyd is often compared with Tripo. Sloyd stands out for text to 3D and game-ready topology. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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Saaskart Market Grid™
Explore how leading AI Design solutions compare based on customer satisfaction, market presence, adoption, and buyer feedback. The Market Grid helps you identify category leaders, high-performing solutions, and emerging products within the AI Design ecosystem.
Category Leader
Adobe Firefly
#1 in AI Design
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Adobe Firefly
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See where ai design fits in a complete stack, with the other software, AI agents and services each business needs.
What is Maket? Maket is an AI home design studio that generates floor plans, edits them by chat and visualizes spaces in 3D. It helps homeowners and professionals create layouts, redesign rooms and test finishes before committing to decisions. Key capabilities of Maket Floor plan generation: create new layouts from dimensions and preferences Chat editing: describe changes in plain language 3D visualization: render designs in multiple styles Upload existing plans: import plan images or PDFs as editable projects Style references: use a style library or custom reference images Layout variations: explore alternative arrangements How Maket works You enter dimensions and preferences or upload an existing floor plan image or PDF. Maket generates editable layouts, which you refine by describing changes in chat. You then visualize the design in 3D in different styles. Actions consume credits: 20 for a floor plan generation, 10 for a rendering and 5 for optimization. Who uses Maket? Maket is for homeowners planning a build or renovation and for design professionals who want quick layout options. Plans scale from individual homeowners to teams on a custom Scale tier. Maket pricing Maket has a Free plan with 30 one-time credits and no card required. Homeowner is $20 per month for 300 credits, Pro is $100 per month for 3,000 credits, and Scale is custom for teams. Maket alternatives Alternatives include Planner 5D for 3D home and interior design, RoomSketcher for floor plans and renders, and Archistar for AI-assisted property design.
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What is Figma AI? Figma AI is the set of AI features inside Figma, including Figma Make, which generates functional prototypes and web apps from a prompt, plus design generation, visual search and content tools. Key capabilities of Figma AI Figma Make: Prompt the model to generate functional prototypes or web apps Design generation: Create design starting points from prompts Visual search: Find designs and assets by appearance Content and image tools: Generate and edit text and images in files Permission-aware answers: AI answers respect file permissions Enterprise admin controls: Admin settings for AI use on higher plans How Figma AI works Designers and builders type a prompt in Figma or Figma Make and the model generates screens, prototypes or working web apps that can be edited in the canvas. Every action draws on AI credits tied to the plan and seat type. Who uses Figma AI? Product designers, developers and teams already working in Figma use it to speed up concepts and prototypes, with dev and collab seats for engineers and stakeholders. Figma AI pricing Starter is free with 150 AI credits daily, up to 500 per month. Professional is $16 per month for a full seat with 3,000 credits. Organization is $55 per month annual for a full seat with 3,500 credits, and Enterprise is $90 per month annual with 4,250 credits. Figma AI alternatives Alternatives include Miro AI for whiteboard workflows, Relume for site structure, Visual Electric for image generation and Designs.ai for generative design. Figma AI sits inside the Figma design file.
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What is Kaedim? Kaedim is a platform that converts sketches, reference materials, product photos, briefs and art direction into production-ready 3D assets for studios and brands in product design, gaming, e-commerce and marketing. Key capabilities of Kaedim Image to 3D: Turns references and photos into 3D models Collaborative review: Markup and comparison tools Unlimited revisions: Iterate on feedback until approved Fast turnaround: Assets back in hours Multiple output formats: Formats for different production needs IP protection: Inputs are not used to train models How Kaedim works You submit a brief, reference or sketch, review the output with markup tools, request revisions, and approve the final asset. The vendor states assets stay proprietary and inputs are not used for model training. Who uses Kaedim? Case studies on the site include Amazon, EA and CBS. Kaedim serves studios and brands in product design, gaming, e-commerce and marketing. Kaedim pricing Kaedim does not publish prices on its website. Pricing is provided by the vendor. Kaedim alternatives Alternatives include Meshy and CSM for AI 3D generation, Adobe Firefly for generative images, and Cascadeur for animation. Kaedim stresses production-ready assets with review.
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What is Musho? Musho is a Figma design AI agent offering an AI Figma plugin that generates website and landing page designs directly on the Figma canvas. Musho helps designers in Figma automate Figma design work and get results faster. Key capabilities of Musho Prompt-to-layout Brand-aware styles Figma-native layers Copy generation Prompt-to-design generation Export to Figma or code How Musho works Musho takes text as input and produces designs. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Figma, React, Tailwind CSS and Web browsers, so the agent works inside existing workflows. Who uses Musho? Musho is built for designers in Figma. It suits teams that want prompt-to-layout and brand-aware styles without adding headcount, while keeping people in control of review and final decisions. Musho vs Relume Musho is often compared with Relume. Musho stands out for prompt-to-layout and Figma-native layers. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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What is Designs.ai? Designs.ai is an AI creative suite that bundles tools for logos, videos, voiceovers and social designs. It is aimed at small businesses and marketers who need quick output. Key capabilities of Designs.ai Logo maker: Generates logo options from your brand inputs. Video maker: Builds short videos from text and stock footage. Speech maker: Produces AI voiceovers for videos. Design maker: Creates social posts and banners. Stock library: Draws on a large library of images and video clips. Team collaboration: Higher plans allow shared team work. How Designs.ai works You choose a tool, enter a brief such as a brand name or script, and the suite generates options that you edit in the browser. Plans include a monthly allowance of AI credits for generation, and higher tiers add collaboration for team members. Who uses Designs.ai? Designs.ai is used by small businesses, marketers and agencies producing branded content quickly. Teams use the higher plans to share work. Designs.ai pricing Designs.ai sells monthly and yearly subscriptions with a credit allowance per plan. Third-party sources disagree on current amounts, so exact prices are not listed here. Check the vendor pricing page for the current plan and credit figures. Designs.ai alternatives Alternatives include Canva Magic Studio, which adds AI inside a large template editor, Microsoft Designer, which generates designs from prompts, and Looka, which specializes in logos and brand kits.
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What is Physna? Physna is a geometric search and 3D deep learning platform that lets companies search, compare, analyze and organize 3D models and physical parts by their actual geometry rather than by filename or metadata. It uses proprietary geometric deep learning to turn 3D models into data that software can query. Physna also owns Thangs.com, a 3D model community. Key capabilities of Physna Geometric search: finds parts and models that match a shape Part comparison: compares 3D models to find similar or duplicate geometry Model codification: converts 3D models into searchable geometric data (Physical DNA) Organization of 3D libraries: indexes large model repositories by shape API access: exposes search and comparison through a public API Thangs community: public search of 2.5 million+ models, per third-party coverage How Physna works Physna ingests 3D models and indexes their geometry, including holes, faces and alignments, into a numeric representation. Users upload a model or select a part and the platform returns geometrically similar matches, and can compare two models. Results are available through the web and an API. Who uses Physna? Engineering, manufacturing and design teams use Physna to reuse existing parts and cut duplicate designs. Press coverage describes Fortune 500 customers and government agencies. Physna pricing Physna enterprise pricing is not published on its site. Early press reports described enterprise contracts in the tens of thousands of dollars, but current terms are quote-based. Physna alternatives Physna is compared with Vizcom, Uizard and Canva Magic Studio, which are generative design tools. Physna differs by searching existing 3D geometry instead of generating new images.
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What is LookX AI? LookX AI is an AI platform for architects and interior designers that turns sketches and text prompts into renderings, videos and design variations. Its models are specialized for architecture rather than general images. Key capabilities of LookX AI RealTime rendering: Convert text or sketches into renderings. Video generation: Create animations from images or text. Custom model training: Upload reference images to train a style. SketchUp and Rhino plugins: Render directly from your modeling software. Style Adapter: Apply the look of a reference image. Upscale Image: HD editing and enhancement. How LookX AI works You upload a sketch, a model export or a text prompt, and LookX renders it using models tuned for architecture. A Prompt Assistant expands short prompts into detailed descriptions, a Vocab Template supplies architectural terminology, and Style Adapter or custom-trained models steer the look. The community gallery lets you duplicate a design in one click. Who uses LookX AI? Architects, interior designers and landscape visualizers who want fast concept renders from sketches and 3D models. LookX AI pricing There is a free plan, and the vendor shows a Get started for free call to action. Third-party reviews cite 100 free X-points, a paid plan near $20 per month or $199 per year, and a team plan near $269 per month; the vendor page did not list prices. LookX AI alternatives Related tools include Collov AI, Hypar, Swapp, Khroma and Visily, covering interior staging, building design and design assistance.
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What is Planner 5D? Planner 5D is AI-powered 2D and 3D house design software for creating floor plans and home visualizations. The vendor says over 100 million homeowners and pros have used it to create more than 540 million homes. Key capabilities of Planner 5D AI Studio: Design automation including renders and design variations. AI floor plan recognition: Converts a floor plan image into an editable plan. AI interior suggestions: Design ideas for rooms. 4K rendering: Light and shadow adjustments. 8,000+ furniture items: Catalog for furnishing rooms. 360 walkthroughs: Virtual tours of the design. How Planner 5D works You draw rooms or import a floor plan, which the AI recognition tool turns into an editable plan. You then furnish it from the item catalog, generate AI Studio visuals and design ideas, and render at 4K with adjustable light. Shopping lists with cost estimates, mood boards, 3D model imports and collaboration tools support the planning stage. Who uses Planner 5D? Homeowners planning renovations, interior designers and real estate professionals. The vendor cites a 4.4 star rating from 645+ reviews on G2 and Capterra. Planner 5D pricing The vendor offers a free start. Third-party sources cite Premium at $4.99 per month billed annually or $19.99 billed monthly, with AI Studio credits included; confirm on the vendor pricing page. Planner 5D alternatives Related tools include Maket, Finch3D and Snaptrude for AI floor plan and building design, plus Wix AI Website Builder and Webflow AI, which are website builders.
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What is Synera? Synera is an agentic AI platform for engineering teams that automates complex workflows across CAD, CAE and PLM tools. Key capabilities of Synera AI agents: Specialist agents collaborate on RFQ processing, cost analysis and FEA. Visual workflow editor: Builds engineering automations without extensive coding. Deterministic execution: Produces results engineers can sign off on. Logging: Every step is auditable for compliance and review. Multi-LLM support: Teams can use language models of their choice. 80+ integrations: Connects CAx and PLM stacks. How Synera works Engineers assemble workflows in a visual editor, and agents execute steps directly on CAD, CAE and PLM data through integrations. Execution is deterministic and every step is logged for audit. Customers can choose the language model and deploy on premises to protect intellectual property. Who uses Synera? Engineering and manufacturing organizations. The vendor lists NASA, BMW, Airbus, Hyundai Motor Group, SEAT and IMS Gear, and says IMS Gear cut RFQ turnaround from weeks to 10 minutes. Synera pricing Synera uses token-based pricing. No dollar amounts are published, so contact the vendor for a quote. Synera alternatives Kaedim, Meshy and Backflip AI generate 3D models from images or text, and Zoo offers CAD generation. Synera orchestrates agents across existing CAD, simulation and PLM tools.
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What is Interior AI? Interior AI is an AI interior redesign AI agent offering an AI tool that redesigns room photos in different interior styles. Interior AI helps homeowners and real estate agents automate AI interior redesign work and get results faster. Key capabilities of Interior AI Style transformations Virtual staging Furniture swaps Exterior redesign Export to CAD and BIM Design variations How Interior AI works Interior AI takes image as input and produces image. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Revit, Rhino, AutoCAD and SketchUp, so the agent works inside existing workflows. Who uses Interior AI? Interior AI is built for homeowners and real estate agents. It suits teams that want style transformations and virtual staging without adding headcount, while keeping people in control of review and final decisions. Interior AI vs RoomGPT Interior AI is often compared with RoomGPT. Interior AI stands out for style transformations and furniture swaps. The right choice depends on your workflow, integrations and budget, so compare both on a real task.
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AI design tools generate and assist visual design, graphics, layouts, logos, UI, and brand assets, using generative models and smart automation, for designers, marketers, and teams. This guide explains what AI design software is, how it works, what matters, and how to choose one.
AI design tools generate and assist visual design, graphics, layouts, logos, UI, and brand assets, using generative models and smart automation, for designers, marketers, and teams. This guide explains what AI design software is, how it works, what matters, and how to choose one.
AI design software applies generative and assistive AI to visual design: generating graphics and layouts, creating logos and brand assets, assisting UI/UX design, editing images, and automating repetitive design tasks like resizing and background work.
It spans AI features inside design platforms, standalone generative design and logo tools, and UI/UX design assistants that turn prompts or wireframes into designs.
The category combines creativity with productivity, generating options fast and automating grunt work, while keeping designers in control of craft and brand. Buyers weigh output quality and control, brand consistency, workflow fit, and commercial rights.
A user provides a prompt, brief, or asset; the tool generates design options, layouts, or assets, and assists with edits, variations, resizing, and brand application that the designer refines.
Platforms combine generative models, design templates and brand kits, image and layout editing, and automation, integrated with design and content workflows.
Teams set up brand kits and templates, generate and refine designs with AI assistance, and route assets through review, keeping designers in control of quality and brand.
Create designs, graphics, and layouts from prompts or briefs to jump-start work.
Generate logo concepts and brand assets, with variations to explore directions.
Turn prompts or wireframes into UI designs and accelerate interface work.
Background removal, resizing, magic edits, and bulk tasks that save time.
Apply brand colors, fonts, and styles so output stays on-brand across assets.
Reusable templates and shared workflows for teams and non-designers.
Generate options and automate grunt work to produce more, faster.
Templates and AI let non-designers create on-brand visuals.
Generate many directions quickly to align stakeholders early.
Brand kits keep visuals consistent across teams and channels.
Automating repetitive tasks lets designers focus on craft and strategy.
| Type | Best for | Ideal size | Pros | Limitations |
|---|---|---|---|---|
| Design platforms + AI | Graphics, social, marketing assets | Any | Easy, templated, on-brand | Less bespoke control |
| Generative/logo tools | Concepts and brand assets | SMB to enterprise | Fast ideation | Review for originality/quality |
| UI/UX design AI | Interface design and prototyping | Product teams | Speeds UI work | Needs designer refinement |
| Image-editing AI | Background, resize, magic edits | Any | Automates grunt work | Narrower scope |
Technology: Technology teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Healthcare: Healthcare teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Financial Services: Financial Services teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Retail & E-commerce: Retail & E-commerce teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Education: Education teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Professional Services: Professional Services teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Manufacturing: Manufacturing teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Media: Media teams use AI design tools to generate on-brand graphics and assets, accelerate UI and marketing design, and automate repetitive tasks, while keeping designers in control of quality and brand.
Test on your design needs; balance generation quality with the control designers require.
Confirm brand-kit support and the ability to keep output on-brand across assets.
Match templates, collaboration, and export to how your team produces design.
For generated assets and logos, confirm commercial-use rights and originality.
Check connections to your design, content, and marketing tools.
Understand seat or usage pricing and how it scales for teams.
Generative design control is improving, editable layers, precise direction, and brand-aware output.
AI is converging across graphics, image, and video for complete visual campaigns.
UI/UX generation is accelerating from prompt to working design and code.
Buyers should prioritize output quality and control, brand consistency, commercial rights, and workflow fit.
AI design software applies generative and assistive AI to visual design, generating graphics, layouts, logos, brand assets, and UI, editing images, and automating repetitive tasks like resizing and background removal. It spans AI features inside design platforms, standalone generative and logo tools, and UI/UX design assistants, aimed at speeding up production while keeping designers in control of craft and brand.
No, it augments them. AI accelerates ideation, generates options, and automates grunt work, while designers provide creative direction, craft, brand judgment, and refinement. Non-designers can produce more with templates and AI, but professional, differentiated design still depends on human expertise directing the tools.
Most business tools grant commercial-use rights to generated assets, but terms and the legal landscape vary, and logo originality and trademark-ability can be uncertain. Review the license, confirm commercial rights for your use, and for logos consider originality and trademark implications before relying on a generated mark.
Use tools with brand-kit support, colors, fonts, logos, and styles, and define templates, then review output against your brand guidelines. Centralizing brand assets and adding a review step keeps generated visuals consistent across teams and channels.
Increasingly, yes. UI/UX design AI can turn prompts or wireframes into interface designs and prototypes, accelerating product design work, and some tools generate front-end code. Output typically needs designer refinement for usability, accessibility, and brand, so treat it as a fast starting point.
It depends on the vendor. Check whether your prompts and uploaded assets are used to train shared models, and review security and retention policies. Enterprise plans often add stronger data guarantees, brand controls, and admin features.
Common models are per-seat subscriptions or usage/credit-based for generation, sometimes within a broader design platform. Estimate your team size and generation volume, and weigh brand controls, commercial rights, and integrations alongside cost.
Prioritize output quality and the control designers need, brand-kit consistency, commercial rights and originality, workflow and collaboration fit, integrations, and pricing. Decide whether you need graphics, logos, UI, or editing, and trial on real design work before committing.
