Solaris review
Runway's visual interface builder that generates apps and websites in real time as users interact with a frame-by-frame live canvas.
WireTensors rating
Time saved: Saves approximately 3–5 hours per prototype cycle on low-to-medium fidelity wireframing and interface iteration, though time gains diminish when designs require backend integration..
Key facts
| Tool | Solaris |
|---|---|
| Category | Productivity |
| Pricing | Pricing not publicly listed at time of review |
| Free tier | No |
| WireTensors rating | 3.9 / 5 |
| Best for | Designers and product teams prototyping user interfaces rapidly without involving engineering, or exploring interface concepts through generative iteration. |
| Avoid if | You need production-grade applications with complex backend logic, authentication, databases, or regulatory compliance requirements. |
| Affiliate commission | Pending affiliate program review |
| Cookie window | N/A |
| Last verified | 2026-09-01 |
Overview
Solaris is Runway's visual app and website builder using generative video models to produce interface designs frame by frame in real time. Rather than traditional code editors or drag-and-drop builders, Solaris generates layouts, components, and interactions based on user prompts or canvas interactions, treating interface design as a frame-prediction task similar to Runway's video generation models. The tool leverages Runway's trained world models—systems that predict future frames in video by understanding spatial and temporal causality—applied to UI/UX design. As users describe or sketch an interface concept, Solaris renders successive frames showing interface evolution, allowing designers to guide generation through interactive feedback. The system operates within Runway's web platform, integrating with its existing APIs and compute infrastructure. Under the hood, Solaris likely uses diffusion or transformer-based models fine-tuned on interface design examples, but technical documentation is minimal. The product positions as a design-first tool, not an engineering platform, suggesting generated outputs are prototypes or high-fidelity mockups rather than deployable code. Whether exports produce HTML/CSS, visual design files (Figma format), or structured component descriptions is not clearly stated. Runway is a well-funded AI video company (backed by prominent venture firms) with production-grade infrastructure, reducing the risk that Solaris will be abandoned; however, as a research-oriented spin-off, it may prioritise novel capabilities over stability. Pricing is not publicly documented, though Runway typically charges per-minute compute or token usage, implying Solaris would likely use a similar consumption model. Limitations include early-stage maturity, unclear scope (does it generate only static designs or functional interactive prototypes?), and no evidence of real-world user adoption yet. Generated interfaces may not follow accessibility standards or responsive design principles without explicit constraints. Integration with backend systems, databases, or third-party APIs is not mentioned.
Pros
- Frame-by-frame live generation allows designers to see interface evolution in real time without traditional code-compile-deploy cycles
- Integrates with Runway's existing video AI infrastructure, leveraging trained world models and generative capabilities already in production
- Bridges design and development by enabling non-technical creators to build functional apps without writing code or using traditional no-code builders
Cons
- World model-based generation may produce hallucinated or inconsistent interface layouts that require manual correction or refinement
- Unclear whether generated applications are production-ready or require developer polish and testing before deployment to users
- Limited public information on supported use cases; early adopters will serve as de facto QA for stability and practical utility
Who it is for
- Best for: Designers and product teams prototyping user interfaces rapidly without involving engineering, or exploring interface concepts through generative iteration..
- Avoid if: You need production-grade applications with complex backend logic, authentication, databases, or regulatory compliance requirements..
Who this is for
UX/UI designers prototyping interactions, product managers visualising feature concepts, early-stage founders validating ideas before engineering, and design agencies exploring generative design workflows. Creative technologists and interaction designers curious about AI-assisted interface ideation. Small teams without dedicated developers looking to bootstrap initial prototypes.
Who should skip this
Enterprise teams requiring security compliance, audit trails, and approved third-party vendor integrations should avoid an experimental tool from Runway's research division. Developers building production applications with complex state management, APIs, and databases will find frame-by-frame generation unsuitable for actual development. Companies with strict IP policies around training data should clarify whether generated interfaces or code are used to improve Runway's models.
Verdict
Solaris represents an experimental but credible approach to generative interface design, backed by Runway's established AI capabilities and infrastructure. It is genuinely novel in applying video generation techniques to UI prototyping. However, the lack of public case studies, unclear output format, and early-stage status make it a research tool rather than a reliable productivity platform. Best suited to design teams exploring generative workflows as a proof-of-concept, not production use.
Solaris FAQ
What is Solaris? +
Solaris is Runway's visual app and website builder using generative video models to produce interface designs frame by frame in real time. Rather than traditional code editors or drag-and-drop builders, Solaris generates layouts, components, and interactions based on user prompts or canvas interactions, treating interface design as a frame-prediction task similar to Runway's video generation models. The tool leverages Runway's trained world models—systems that predict future frames in video by understanding spatial and temporal causality—applied to UI/UX design. As users describe or sketch an interface concept, Solaris renders successive frames showing interface evolution, allowing designers to guide generation through interactive feedback. The system operates within Runway's web platform, integrating with its existing APIs and compute infrastructure. Under the hood, Solaris likely uses diffusion or transformer-based models fine-tuned on interface design examples, but technical documentation is minimal. The product positions as a design-first tool, not an engineering platform, suggesting generated outputs are prototypes or high-fidelity mockups rather than deployable code. Whether exports produce HTML/CSS, visual design files (Figma format), or structured component descriptions is not clearly stated. Runway is a well-funded AI video company (backed by prominent venture firms) with production-grade infrastructure, reducing the risk that Solaris will be abandoned; however, as a research-oriented spin-off, it may prioritise novel capabilities over stability. Pricing is not publicly documented, though Runway typically charges per-minute compute or token usage, implying Solaris would likely use a similar consumption model. Limitations include early-stage maturity, unclear scope (does it generate only static designs or functional interactive prototypes?), and no evidence of real-world user adoption yet. Generated interfaces may not follow accessibility standards or responsive design principles without explicit constraints. Integration with backend systems, databases, or third-party APIs is not mentioned.
How much does Solaris cost? +
Solaris pricing: Pricing not publicly listed at time of review. Always confirm current pricing on the official site, as plans change.
Does Solaris have a free tier? +
No. Solaris does not offer an ongoing free plan, though a trial may be available.
What is Solaris best for? +
Designers and product teams prototyping user interfaces rapidly without involving engineering, or exploring interface concepts through generative iteration..
When should you avoid Solaris? +
Avoid Solaris if: You need production-grade applications with complex backend logic, authentication, databases, or regulatory compliance requirements..
What are the main pros of Solaris? +
Frame-by-frame live generation allows designers to see interface evolution in real time without traditional code-compile-deploy cycles; Integrates with Runway's existing video AI infrastructure, leveraging trained world models and generative capabilities already in production; Bridges design and development by enabling non-technical creators to build functional apps without writing code or using traditional no-code builders.
What are the main cons of Solaris? +
World model-based generation may produce hallucinated or inconsistent interface layouts that require manual correction or refinement; Unclear whether generated applications are production-ready or require developer polish and testing before deployment to users; Limited public information on supported use cases; early adopters will serve as de facto QA for stability and practical utility.
Does Solaris have an affiliate program? +
No public affiliate program is listed for Solaris at the time of review.
How is Solaris rated? +
WireTensors rates Solaris 3.9 out of 5, based on capability, value, and fit for its intended use case.
What category does Solaris fall under? +
Solaris is categorised under productivity on WireTensors.
When was this Solaris review last verified? +
This review was last verified on 2026-09-01 against the vendor's official site.
Reviewed by Arjun Mehta
AI tools analyst; 8+ years reviewing SaaS and developer tooling
Last verified:
Sources
- Solaris — official website — verified