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Runway
AI-powered video and image generation for creative visualization
Generative AI platform that creates cinematic videos from text, images, and existing video with advanced camera controls, consistency, and realistic physics simulation. Used by architects and design firms for animated visualizations and walkthrough renderings.
$536.5M raised ⭐ Market Leader
Founded 2018 • KPF and other major architecture/design firms using for visualization (specific count not publicly specified)
Why This Tool Exists
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The Problem
Architecture and design teams spend 2+ weeks and thousands of dollars outsourcing video animations of renderings, requiring multiple rounds of briefs, reviews, and revisions. This delays client presentations and consumes project budgets.
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The Solution
Runway Gen-4.5 generates cinematic videos from static renderings in hours using text prompts or direct image-to-video transformation, with consistent camera movements, realistic lighting, and precise object placement. Teams can now animate in-house with simple controls.
How You Use It
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Delivery Method
SaaS API
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Integrations
No verified AEC integrations documented
Disciplines
Architecture, Construction
Project Phases
Pre-Design, Schematic Design, Design Development
Project Types
Commercial, Residential, Mixed-Use, Healthcare, Education, Institutional
Data Transparency
Exactly what this tool uses and how
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Input
What it needs
Required: Static architectural renders, Text prompts, or existing video
Optional: Reference images for consistency, Custom camera control parameters, Lip-sync audio for avatars
Formats: JPG, PNG, MP4, MOV, WebM
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Output
What you get
Format: High-quality video files with customizable resolution and frame rate
Fields: Generated video with motion and camera movement, Consistent characters and objects across scenes, Realistic lighting and shadows, Physics-based interactions and collisions, Multi-angle perspectives of same scene
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Algorithm
How it works
Model: Runway Gen-4.5 (proprietary multimodal diffusion model)
Accuracy: Claims state-of-the-art visual fidelity and physics accuracy (methodology for evaluation not published)
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Privacy
How your data is protected
Retention: User content deleted after 90 days unless legal requirements require longer retention (up to 7 years)
Training: User inputs and outputs may be used to train and improve models with consent; technical separation between customer content storage and model training systems
Compliance: SOC 2 Type II (annual certification), GDPR compliant, CCPA/CPRA compliant, ISO 27001 elements incorporated
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API
Integration
Endpoint:
https://docs.dev.runwayml.com/api/Method: REST API with Python and JavaScript SDKs
Use Cases
- • Animate static architectural renderings into walkthrough videos (KPF case study)
- • Generate building presentation videos from design renderings in hours instead of weeks
- • Create cinematic visualization of design variations quickly for client presentations
- • Produce multi-angle camera views of the same architectural space
- • Enable in-house animation production reducing outsourcing costs by 80-90%
Pricing
Free
Free plan with 125 one-time credits (5GB storage, 3 projects, watermarked)
Pro
Standard ($12/month annual or $15/month) to Pro ($28/month annual or $35/month) with 625-2,250 monthly credits and watermark removal
Enterprise
Unlimited plan ($76/month annual) and Custom Enterprise with SSO, advanced security, priority support
📚 Research Sources & Data Quality Last verified: 2026-02-01
Data Sources (11)
- 🔗 https://runwayml.com (official website and mission)
- 🔗 https://runwayml.com/pricing (pricing tiers and features)
- 🔗 https://runwayml.com/data-security (security, privacy, compliance)
- 🔗 https://runwayml.com/research/introducing-runway-gen-4.5 (latest model capabilities)
- 🔗 https://runwayml.com/customers/how-kpf-is-incorporating-ai-video-into-architectural-workflows (KPF architecture case study)
- 🔗 https://docs.dev.runwayml.com/ (API documentation)
- 🔗 TechCrunch: Runway raises $308M Series D at $3B valuation (April 2025)
- 🔗 Variety: Runway Series D $308M funding article (2025)
- 🔗 Crunchbase: Total funding $536.5M across multiple rounds
- 🔗 https://runwayml.com/privacy-policy (privacy and data retention)
- 🔗 https://help.runwayml.com (help center and user guides)
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Verified Data (16)
problem, solution, deliveryMethod, disciplines, projectPhases, projectTypes, maturityStage, yearFounded, fundingTotal, input-output-specs, algorithm-model-and-approach, useCases, control-features, pricing-tiers, privacy-compliance, api-endpoint
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Not Found (6)
specific-aec-integrations-with-procore-bim360-revit, total-architecture-firm-customer-count, soc2-audit-report-public-access, model-training-opt-out-mechanism, webhook-support-for-api, rate-limit-specifications
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.