DeepFrame turns video into searchable, reviewable evidence. Teams can find relevant moments, ask questions grounded in timestamps, and run repeatable video reviews without watching every minute manually.
DeepFrame is a multimodal video intelligence platform for organizations that need to understand large volumes of footage. Upload or import video, build a searchable library, find relevant moments with natural-language search, and ask questions grounded in timestamped source evidence.
DeepFrame helps teams move from video to indexed evidence, findings, and action. Users can inspect the source behind important answers, organize work in Collections, and apply configurable Rulebooks to repeat review criteria consistently. The product makes uncertainty visible so teams can distinguish supported findings from evidence that is missing or not yet checked.
The hosted SaaS runs on InfiniMind-managed AWS infrastructure. Marketplace buyers select a Team or Pro contract tier and complete account setup in DeepFrame. Existing DeepFrame hours and seat controls apply to the purchased tier.
Highlights
Evidence-backed video intelligence: Search, answers, and review findings connect to timestamps and source material users can inspect.
Multimodal search and review: Work across visual, speech, text, audio, and object signals in a shared video library.
Repeatable team workflows: Use Collections and configurable Rulebooks to organize evidence and apply consistent review criteria.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You choose between two contract tiers based on your review volume. The Team tier covers 50 video hours and 5 seats for collaborative review. The Pro tier covers 500 video hours and 20 seats for higher-volume review. Both tiers bundle video hours with a set number of seats, so you scale up by moving from Team to Pro rather than adding capacity piece by piece. Pick the tier that matches your footage volume and the size of your review team.
Top-of-mind questions for buyers
What counts as one video hour for billing?
A video hour is one hour of footage you index for review. DeepFrame processes what is seen, spoken, and written on screen within that footage. The Team tier covers 50 video hours. The Pro tier covers 500 video hours.
What does a seat give each person on my review team?
A seat is one user account for someone who reviews findings. Each seat holder works through ranked, evidence-linked findings pinned to timestamps. The Team tier includes 5 seats for collaborative review. The Pro tier includes 20 seats for higher-volume review.
How do video hours and seats combine to determine which tier I need?
Each tier bundles a fixed video-hour allowance with a fixed seat count. Both are included together in one contract, not billed separately. Pick the tier where both your footage volume and your review team size fit within the included amounts.
infinimind.io
Helpful?
Vendor refund policy
All subscription fees are non-refundable. Contract fees are charged in advance for the selected term and are not prorated for early cancellation. For questions about billing or to request an exception, contact support@infinimind.io.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Unlocking Hidden Values in Every Mile: Our mobile-first predictive AI turns untapped mobility data into crash intelligence, risk scoring, and even early health insights.
Born out of MegazoneCloud's collaboration with the AWS Generative AI Innovation Center (GenAIIC) Partner Agent Factory (PAF), SPACE LENS is a next-generation video intelligence solution that transforms your untapped video archives into high-value business assets. With SPACE LENS, you can bypass technical complexities: simply ask questions in natural language, and SPACE LENS automatically orchestrates the optimal analysis path to extract actionable insights and structured data. Eliminate the stress of model selection while drastically reducing time and costs, allowing you to maximize the true value of your video data.
Untapped Value Remains Hidden Within Video Assets:
Organizations often handle video content through separate systems that look at visuals, audio, and text independently. This disconnected approach misses the bigger picture and fails to unlock the true value of video assets, where just one minute of video can contain as much information as 1.8 million words. Companies need a holistic approach to video understanding that transforms content from an underutilized asset into a source of strategic insight.
Transforms Your Video Data into Actionable Intelligence and Personalized Experiences:
Our solution uses AWS AI to process visual, audio, and text elements simultaneously, delivering context-aware intelligence that mimics human perception. This enables automated highlight generation, personalized content recommendations, and real-time audience engagement across streaming platforms—transforming fragmented analysis into an AI ecosystem that drives viewer retention and monetization.
Simplify live media processing and distribution with TVU MediaMesh™. Object-based technology offering low latency, high reliability, and exceptional video quality for cloud-based live production.
Be the first to review this product. We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.