Observed Signal · Jul 10, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
Beamr ML-Safe Video Tech Added to RTMaps AI Store
Beamr Imaging Ltd. and Intempora (a dSPACE company) announced Beamr’s ML-safe video data technology is now available on the RTMaps AI Store for use across autonomous-vehicle (AV) development stacks. The solution uses Beamr’s content-adaptive bitrate (CABR) compression, GPU-accelerated, to reduce video file sizes by up to 50% while preserving object boundaries, edges, and scene detail needed by perception and detection models. Beamr’s technology can be deployed at logging, cloud/data-center storage and transfer, and in simulation/training workflows (including HIL testing). Intempora says Beamr is the first compression technology on the RTMaps AI Store and that the integration lets AV teams cut data volumes without changing downstream model behavior. The company also offers a Beamr Blueprint methodology for end-to-end assessment of video workflows.
The listing enables AV teams to reduce petabyte-scale video storage and transfer costs while preserving ML model accuracy; relevant to autonomous-vehicle data workflows but narrowly focused on AV/perception pipelines rather than the wider AdTech industry.
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Key Takeaways & Evidence Grounding
- Beamr Imaging Ltd. and Intempora (a dSPACE company) announced Beamr’s ML-safe video data technology is available on the RTMaps AI Store.
- Beamr’s content-adaptive bitrate technology (CABR) reduces file sizes by up to 50% while preserving object boundaries and scene details used by ML models.
- CABR is GPU-accelerated for high-throughput processing.
- Beamr’s compression can be deployed at logging, in the cloud/data center, and in simulation and training (including hardware-in-the-loop testing).
- Intempora states Beamr is the first compression technology listed in the RTMaps AI Store.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Beamr and VAST Data Partner for AI Video Enhancement
Beamr Imaging Ltd., a video optimization technology company, has joined the VAST Cosmos Community as a Technology Partner. The collaboration with VAST Data, the AI Operating System company, aims to deliver new AI-powered video workflows for broadcasters and content owners. The partnership will debut at IBC 2026 in Amsterdam with a demonstration combining the VAST AI Operating System, NVIDIA Video Super Resolution, and Beamr's content-adaptive bitrate technology. This workflow enables broadcasters to upscale, AI-enhance, and modernize their media archives while controlling storage and delivery costs. The pipeline runs on NVIDIA RTX PRO GPUs and can be deployed in the cloud or on-premises. Beamr plans to collaborate with VAST Data on joint go-to-market initiatives.
Aurora Mobile Adds Modellix Image and Video Tools
Aurora Mobile Limited announced on July 15, 2026 that its enterprise AI agent platform GPTBots.ai has added a suite of Modellix-powered image and video generation tools. The new additions include Modellix Seedance 2.0 for text-to-video, image-to-video, and video-to-video generation, and Modellix Image Generation powered by GPT Image 2 and Nano Banana 2 for image creation and editing. Aurora Mobile says the tools integrate into GPTBots.ai’s broader tool ecosystem to enable enterprises to embed multimodal content generation into workflows — supporting marketing creative production, customer engagement assets, training materials, and automated creative pipelines. The release targets production-ready, enterprise-grade AI agent use cases beyond prototyping.
TwelveLabs Raises $100M Series B for Video Superintelligence
TwelveLabs, a video intelligence company, announced a $100 million Series B round co-led by NEA and NAVER Ventures with participation from Amazon, Radical Ventures, Korea Investment Partners, Index Ventures, Quadrille Capital and Red Bull Ventures. The company is extending beyond video-understanding models into a full-stack, agentic video intelligence system that unites perception, knowledge and reasoning. TwelveLabs highlights its Marengo 3.0 video embedding model and Pegasus 1.5 model for turning video into structured data; both models are distributed via Amazon Bedrock and TwelveLabs’ API. AWS is described as TwelveLabs’ preferred cloud provider with a multiyear partnership that includes optimizing inference on AWS Trainium chips and launching new models first on AWS. The funding will be used to accelerate R&D, expand offices (San Francisco, Seoul, new New York and London offices) and move from foundation models to application-level products like Rodeo.
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