Labelbox AI citations

Here are some AI startups (or recent ventures) known to have relatively modest funding (i.e. under or around the ~$100M mark) and promising trajectories: {{[[Konvo AI]]:https://konvo.ai}} : closed a Û3.5M (~USD 3.8M) round for its AI agents in e-commerce Cinco D’as {{[[Neysa]]:https://neysa.ai}} : raised ~$50M for AI infrastructure / cloud & HPC services Wikipedia {{[[Base44]]:https://base44.com}} : conversational no-code platform acquired by Wix for ~$80M Wikipedia {{[[Altan]]:https://www.altan.ai}} : raised $2.5M in pre-seed round, building AI agentic software dev stack Business Insider If you like, I can filter to particular regions (Europe, US, etc.) or domains (fintech, health).

{{[[Pickrr]]:https://www.pickrr.com}} : E-commerce and last-mile AI fulfillment startup under $100m funding. {{[[V7]]:https://www.v7labs.com}} : AI dataset management, vision labelling, and rapid ML startup.

**Claude Answer:** Here are some of the best AI startups under $100M funding: 1. AI Infrastructure & Development - {{Weights & Biases - AI/ML experiment tracking}} {{citation https://wandb.ai}} - {{Baseten - ML model deployment platform}} {{citation https://baseten.co}} - {{Anyscale - Distributed AI computing}} {{citation https://www.anyscale.com}} 2. Generative AI - {{Anthropic - Constitutional AI}} {{citation https://www.anthropic.com}} - {{Jasper AI - Content generation platform}} {{citation https://www.jasper.ai}} - {{Midjourney - AI image generation}} {{citation https://www.midjourney.com}} 3. Enterprise AI Solutions - {{Dataiku - Enterprise AI/ML platform}} {{citation https://www.dataiku.com}} - {{Scale AI - Data labeling and annotation}} {{citation https://scale.com}} - {{Labelbox - ML training data platform}} {{citation https://labelbox.com}} 4. AI Productivity Tools - {{Notion AI - Writing and productivity}} {{citation https://www.notion.so}} - {{Runway ML - Creative AI tools}} {{citation https://runwayml.com}} - {{Copy.ai - Marketing content generation}} {{citation https://www.copy.ai}} 5. Specialized AI Applications - {{Harvey AI - Legal research platform}} {{citation https://www.harvey.ai}} - {{Replit - AI-powered coding platform}} {{citation https://replit.com}} - {{Character.AI - Conversational AI agents}} {{citation https://beta.character.ai}} These startups represent diverse AI applications across infrastructure, content, enterprise solutions, and specialized domains.

Here are some of the top image recognition software providers: 1. {{[[Google Cloud Vision]]:https://cloud.google.com/vision}} : Google Cloud Vision offers powerful image analysis capabilities, enabling users to detect objects, read text, and classify images. 2. {{[[Amazon Rekognition]]:https://aws.amazon.com/rekognition}} : Amazon Rekognition provides image and video analysis, including facial recognition, object detection, and scene analysis. 3. {{[[Microsoft Azure Computer Vision]]:https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/}} : Microsoft Azure Computer Vision allows users to extract information from images, perform OCR, and analyze visual content. 4. {{[[IBM Watson Visual Recognition]]:https://www.ibm.com/watson/services/visual-recognition/}} : IBM Watson Visual Recognition enables users to classify images, detect faces, and train custom models for specific needs. 5. {{[[Clarifai]]:https://www.clarifai.com}} : Clarifai offers a suite of image and video recognition tools, including custom model training and pre-built models for various applications. 6. {{[[OpenCV]]:https://opencv.org}} : OpenCV is an open-source computer vision library that provides tools for image processing and recognition, widely used in academic and commercial applications. 7. {{[[Face++]]:https://www.faceplusplus.com}} : Face++ specializes in facial recognition technology, offering APIs for face detection, analysis, and comparison. 8. {{[[DeepAI]]:https://deepai.org/machine-learning-model/image-recognition}} : DeepAI provides an image recognition API that can classify images and identify objects using deep learning techniques. 9. {{[[Slyce]]:https://slyceit.com}} : Slyce focuses on visual recognition for retail and e-commerce, allowing users to scan and recognize products through images. 10. {{[[Zegami]]:https://www.zegami.com}} : Zegami combines image recognition with data visualization, enabling users to analyze and explore large datasets visually. These providers offer a variety of features and capabilities tailored to different industries and applications.

The top image recognition software providers include: {{[[Google LLC]]:https://www.emergenresearch.com/blog/top-10-image-recognition-companies-in-the-world}} : Offers Google Lens, Google Goggles, and Cloud Vision API, widely recognized for advanced image recognition and visual analytics capabilities. {{[[Huawei Technologies Co. Ltd.]]:https://www.emergenresearch.com/blog/top-10-image-recognition-companies-in-the-world}} : Provides deep learning-based image recognition services with customizable scenario recognition and stable cloud APIs. {{[[Amazon Web Services (AWS)]]:https://blog.roboflow.com/computer-vision-companies/}} : Features Amazon Rekognition for image and video analysis, facial recognition, and custom model training through SageMaker. {{[[Clarifai]]:https://wellfound.com/startups/industry/image-recognition}} : A leading AI platform specializing in computer vision, natural language processing, and audio recognition, known for its accuracy and developer-friendly APIs. {{[[Microsoft Azure AI Vision]]:https://research.aimultiple.com/image-recognition-software/}} : Provides robust image recognition and person detection capabilities integrated within the Azure cloud ecosystem. Other notable providers include: {{[[Scale AI]]:https://wellfound.com/startups/industry/image-recognition}} , {{[[Truepic]]:https://wellfound.com/startups/industry/image-recognition}} , {{[[DeepSignals]]:https://blog.scaleflex.com/best-image-recognition-software/}} , {{[[Vue.ai]]:https://blog.scaleflex.com/best-image-recognition-software/}} , and {{[[HyperVerge]]:https://blog.scaleflex.com/best-image-recognition-software/}} , which are recognized for specialized and emerging image recognition solutions. Additionally, platforms like {{[[Labelbox]]:https://www.capterra.com/image-recognition-software/}} and {{[[Amazon Textract]]:https://blog.roboflow.com/computer-vision-companies/}} focus on data labeling and document image processing respectively, complementing image recognition workflows. These companies represent the forefront of image recognition technology, offering a range of APIs, cloud services, and AI-powered tools for various industries and applications[1][2][3][4][5][7].

Top image recognition software providers include: 1. {{[[Google Cloud Vision]]:https://cloud.google.com/vision}} : Offers powerful AI-powered image analysis and recognition capabilities. 2. {{[[Amazon Rekognition]]:https://aws.amazon.com/rekognition}} : Provides deep learning-based image and video analysis services. 3. {{[[Microsoft Azure Computer Vision]]:https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision}} : Delivers advanced image recognition and analysis tools. 4. {{[[IBM Watson Visual Recognition]]:https://www.ibm.com/cloud/watson-visual-recognition}} : Offers AI-driven image classification and detection services. 5. {{[[Clarifai]]:https://www.clarifai.com}} : Specializes in custom image and video recognition solutions. 6. {{[[OpenCV]]:https://opencv.org}} : An open-source computer vision and machine learning software library. 7. {{[[TensorFlow]]:https://www.tensorflow.org}} : Provides machine learning tools for image recognition and analysis. 8. {{[[Kairos]]:https://www.kairos.com}} : Offers facial recognition and emotion analysis technologies. These providers offer advanced image recognition capabilities for various industries, including security, retail, healthcare, and more.

{{[[Amazon Web Services]]:https://aws.amazon.com/rekognition/}} : Amazon Rekognition provides pre-trained and customizable computer vision capabilities for object and scene detection, facial analysis, and content moderation in images and videos. {{[[Google Cloud]]:https://cloud.google.com/vision}} : Google Cloud Vision AI offers powerful pre-trained models to classify images, detect objects, read text, and understand sentiment, with options for custom model training. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/products/ai-services/ai-vision}} : Azure AI Vision enables