Plumerai makes deep learning tiny and radically more efficient, enabling AI on small, cheap, and low-power devices. This makes it possible to embed intelligent, battery-powered sensors everywhere, enabling better user experiences and doing things we couldn’t do before.We have a very accurate and complete AI solution for smart home cameras and video doorbells that includes people detection, familiar face identification, stranger detection, vehicle detection, animal detection, package detection, and several other differentiating features. It's already deployed on millions of cameras in the field!Our proprietary tiny people detection AI models (1MB!) are highly accurate and run very efficiently on Cortex-A and Cortex-M CPUs and NPUs. Our customers are moving away from costly cloud processing, moving the AI into the devices themselves. We collect our own data and use more than 30M images and videos for training.Our familiar face identification is highly accurate and runs on small systems also. It is not meant for mass surveillance, but for recognizing members of a household, and personalization of electronics.Our inference software runs any AI model super efficiently on Arm Cortex-A/M, RISC-V, ARC EM, and more. It's even the fastest in the world on the public MLPerf Tiny benchmark.Plumerai has published and presented at leading AI conferences like NeurIPS, MLSys, and CVPR. The company is backed by world-class investors with strong backgrounds in deep learning and track records of founding multi-billion dollar tech companies.We're going places. Stay tuned!

Innatera builds ultra-low power neuromorphic AI solutions. Innatera designs the chips, algorithms, and software development tools that bring intelligence to your next-generation electronics.

See www.marcojacobs.nlI offer professional services in business development, marketing, strategy and project management. I've worked extensively in semiconductors, automotive ADAS and autonomous vehicles, deep learning, computer vision and visual computing. 35+ years in software (I started early), 20+ years in semiconductors, 5+ years in AI and computer vision, 20+ years in imaging, video, audio, and graphics, 5+ years in automotive AD/ADAS, executive management experience in 5 technology startups, 10x per year in Silicon Valley, led teams of 20+ engineers.

Taking care of all marketing-related tasks for videantis. We license low-power and silicon-efficient visual computing processor IP and software. Pushing deep learning, computer vision and compression to new performance levels. Better algorithms, more pixels, less power, fewer bits, smaller chips.My prediction: in 25 years you'll own 100+ cameras. There will be many in your car for safety, comfort, and insurance. Your phone will have multiple camera arrays for highest quality video and photos. When you go skiing, your personal drone will follow you and shoot action pictures. All these cameras will require lots of video processing, and videantis provides the required semiconductor solutions.

Our tools guide you through the process of multi-threading your code to take optimum advantage of the latest computer architectures. They’re easy to use, point-and-click, and provide the fastest path toward bringing your multicore application to market. Responsible for all corporate, strategic and product marketing activities.

Joined Virage Logic through the acquisition of ARC International, the first configurable processor company. Responsible for product marketing and product management for Virage Logic's audio and video products. Duties include: market research, defining new audio/video/imaging products and demonstrators, identifying strategic partners and executing partnership agreements, developing marketing material and identifying, guiding and securing customers.(Synopsys acquired Virage Logic)

Responsible for product marketing and product management for Silicon Hive’s media processing product line. Duties include: market research, defining new video/imaging products and demonstrators, identifying strategic partners and executing partnership agreements, developing marketing material and identifying, guiding and securing customers. Drove Silicon Hive's entry into mobile imaging and secured Silicon Hive's first mobile phone design win.(Intel acquired Silicon Hive in 2011 for their mobile imaging and video)

Led a small team developing an MPEG4-based audio/video coding component for a multi-channel digital video recorder. Leading an architecture change from using FPGAs and fixed-function devices to using TI’s C64x series of programmable DSPs. (Robert Bosch GmbH acquired this Philips business unit in October 2002)

Led a 20-member DSP software development team responsible for wireless and wireline communications, VoIP, video, audio and graphics System-on-Chips, based on BOPS’ DSP IP portfolio. Focused on innovation, quality, cost, schedule, customer relations, team building, IPR portfolio build-up, interdepartmental relationships, open communications, training, contract management and software development methodologies. Required continual use of my technical skills and understanding. Member of the Patent Review Committee.

Design and implementation of research software for simulation, exploration and analysis of environmental Fourier-transform infrared spectroscopic computed tomography using C/C++, Java and Delphi on PC and Mac platforms, under the direction of Prof. Dr. Lori Todd.

Worked on one of the first ecards online web applications. In addition, performed market research to advise the government on e-learning.