Alternatives to PYCAD
Compare PYCAD alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PYCAD in 2026. Compare features, ratings, user reviews, pricing, and more from PYCAD competitors and alternatives in order to make an informed decision for your business.
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Google Cloud Vision AI
Google
Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog. -
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Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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Amazon Comprehend Medical
Amazon
Amazon Comprehend Medical is a HIPAA-eligible natural language processing (NLP) service that uses machine learning to extract health data from medical text–no machine learning experience is required. Much of health data today is in free-form medical text like doctors’ notes, clinical trial reports, and patient health records. Manually extracting the data is a time consuming process, while automated rule-based attempts to extract the data don’t capture the full story as they fail to take context into account. As a result, the data remains unusable in large-scale analytics needed to advance the healthcare and life sciences industry and improve patient outcomes and create efficiencies. -
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NVIDIA Clara
NVIDIA
Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices. -
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NexHealth
NexHealth
Deliver an end-to-end patient experience that integrates in real-time with your practice management system. The only solution that reads and writes data in real-time with your practice management system. We spend most of our engineering resources on creating the best bidirectional integrations with EHR and practice management systems. Now you can develop and deploy your product in weeks, not years. Our engineers consume our own API to build our own doctor-facing SaaS product, so you know you will always get an experience that is tested and can scale. Online patient scheduling allows visitors to see your availability in real-time and schedule appointments on-demand from any location or device. NexHealth scheduling software fully customizes your schedule right out of the box. Our team of product experts helps implement both your calendar of record and your EHR system – no matter how complex your schedule. -
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The combination of our core strengths, our deep industry experience in health, our advanced technology solutions including options for AI, blockchain, and data and analytics, and our reputation for trust and security, enables Watson Health to support our clients' digital transformations. Through a combination of technology solutions and experienced consulting, we're helping organizations become more efficient, resilient and robust institutions that can deliver on their mission to their communities. See Watson Health solutions that help optimize clinical, financial and operational performance. See Watson Health solutions to apply analytics and improve programs for vulnerable populations. See Watson Health solutions to improve clinical trials and generate real-world evidence. See Watson Health solutions that help payers manage performance, members and business networks. Watson Health solutions that help with benefits analytics, engagement and business continuity.
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ROOK
ROOK
ROOK is a comprehensive API solution that enables seamless integration of health data from over 300 wearable devices and data sources into applications. By providing a single integration point, ROOK eliminates the need for developers to perform individual integrations, maintenance, or resolve data disparities for each device. It aggregates and processes data standardizes units, addresses duplicate or missing data points, and delivers ready-to-use, real-time health insights. ROOK's Health Score offers a unified definition of health by utilizing biomarker data from multiple sources, aiding in the prediction of user behaviors and events without requiring additional analysis. It is designed with security in mind, adhering to HIPAA and GDPR compliance standards to ensure data protection. Founded by biomedical engineers with extensive experience in medical devices and hardware-software integrations, ROOK offers expert guidance and support to clients.Starting Price: $399 per month -
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Imagia EVIDENS
Imagia
EVIDENS, our AI platform enables digital cohort discovery, research, collaboration, and insight sharing on hospital-wide data sets. Quickly annotate and link your data into AI-ready data sets. Quickly filter populations based on clinical outcomes or demographics. Filter populations with limitless keywords by training AI models to search with them. Explore and create criteria to identify cohorts with smart AI assistance. Quickly train AI models to automate analysis and categorize data into groups. Output AI-ready cohorts to test your study’s clinical hypothesis. Easily view the status and tasks for all your projects and collaborators. View and follow activity based on your research interests and projects. Use collaborative tools to work in parallel to create, train and validate AI models. -
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RedBrick AI
RedBrick AI
RedBrick AI is a Collaborative & Rapid Medical Data Annotation platform. Purpose-built platform to help Healthcare AI teams build high-quality training datasets for all types of radiological imaging, including **CT, MRI, X-ray, Ultrasound, Fluoroscopy, and other standard imaging. Along with native support for medical data formats such as DICOM and NIfTI and can handle complex tasks like multi-series annotation and extensive DICOM studies. Our platform provides the most advanced and user-friendly 2D & 3D web-based annotation tools, with a PACS-like viewer. All common annotation use cases such as instance/semantic segmentation, landmarking, classification, and ROI measurements, are supported to accelerate annotation by up to 60%.Starting Price: $300/month/user -
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HeartFlow
HeartFlow
HeartFlow's non-invasive personalized cardiac test provides unprecedented visualization of each patient's coronary arteries, enabling physicians to create more effective treatment plans for their patients. The HeartFlow FFRCT Analysis starts when a patient undergoes a standard coronary computed tomography scan at a hospital or imaging center. The CT images are securely uploaded to our cloud. Next, we use advanced algorithms incorporating artificial intelligence to build a personalized, digital model of that patient’s coronary arteries. Our team of highly trained analysts then inspects this model, making any needed edits. Once this patient-specific model is completed, the HeartFlow pathway applies physiologic principles and computational fluid dynamics to compute the blood flow and FFRCT values at every point in the model. Throughout the process, we follow rigorous and well-established protocols to ensure consistent processing for every patient. -
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GenHealth.ai
GenHealth.ai
GenHealth.ai is a healthcare-focused generative AI platform built on a proprietary Large Medical Model (LMM) trained using data from over 100 million patient histories rather than natural language. The LMM processes medical codes and events to predict future patient trajectories, forecast costs, and simulate clinical pathways with higher accuracy and fewer hallucinations than traditional large language models. It supports a suite of purpose-built applications, including Intake Automation (PDF routing, data extraction, medical necessity), Prior Authorization Agent for automated adjudication, and G‑Mode analytics, which enables users to “chat” with historical and projected population‐health data via natural language, all without coding. This AI‑powered co‑pilot has shown 94 % accuracy in prior‑auth cases, a 120× improvement in medical loss ratio forecasting, and 110 % better cost prediction versus standard HCC scoring. -
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Datature
Datature
Datature is a comprehensive, end-to-end, no-code computer vision and MLOps platform that simplifies the entire deep-learning lifecycle by letting users manage data, annotate images and videos, train models, evaluate performance, and deploy AI vision solutions, all within one unified environment without coding. Its intuitive visual interface and workflow tools guide you through dataset onboarding and annotation (including bounding boxes, segmentation, and advanced labeling), let you build automated training pipelines, monitor model training, and assess model accuracy with rich performance analytics, and then deploy models via API or for edge use so trained models can be used in real-world applications. Designed to democratize access to AI vision, Datature accelerates project timelines by reducing manual coding and debugging, supports collaboration across teams, and accommodates tasks like object detection, classification, semantic segmentation, and video analysis. -
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Crosby Health Apollo
Crosby Health
Thousands of providers use Apollo by Crosby Health to generate, submit, and track appeals. Reducing the provider burden from clinical denials. Apollo has been trained to understand the clinical context and beats every other medical language model on core metrics. Apollo has been fine-tuned to handle billing tasks with high precision such as auditing, charge capture, and denial management. The fastest clinical language model with the largest context length. Outputs are generated on average at 60 words per second and can intake up to 300 pages. Our AI crafts winning appeal letters for every denial with meticulous arguments for maximum recovery. Eliminate multiple payor portals and fax numbers. One platform that submits and tracks every appeal. Eliminate the provider burden to generate appeals. AI trained to identify medical necessity within documentation. One-click submission to any insurance company. -
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Infermedica API
Infermedica
Infermedica is a leading digital health company, specializing in AI-powered solutions for early symptoms assessment, digital triage and care navigation. Through its technology healthcare organizations can introduce solutions for symptoms checking, patient intake, follow-up, call center support and more. Infermedica’s Medical Guidance Platform is a Class IIb Medical Device under the MDR in the European Union, and is developed with the highest standards of quality and data protection, compliant with ISO, HIPAA, GDPR, SOC2. Infermedica has been adeptly interweaving cutting edge technologies, including AI, LLMs, and NLP, with the proven Medical Knowledge and Inference Engine that lies in the core of its technologies. Those technologies can be accessed through various touchpoints, including web, mobile, call centers, voice agents and chat bots. Infermedica’s solutions achieve 94% of accuracy. To learn more, visit our webpage. -
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Dr7.ai
Dr7.ai
Dr7.ai is the world’s first unified medical AI hub, providing one API to access leading healthcare-focused language and vision models. The platform supports 15+ specialized models such as MedGemma, BioGPT, and Med-PaLM 2 for use cases ranging from EHR analysis to medical imaging and drug discovery. Its unified API standard allows developers and healthcare teams to integrate once and switch between models without multiple onboarding processes. With HIPAA/GDPR compliance, advanced encryption, and role-based access, Dr7.ai ensures security and privacy. Real-time updates, benchmarking, and multilingual support make it suitable for global healthcare applications. By streamlining access to cutting-edge AI, Dr7.ai empowers professionals to accelerate innovation in healthcare research, diagnostics, and treatment planning.Starting Price: $0 -
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Mamosis
Mamosis
Mamosis is an advanced AI-powered platform designed to enhance the speed and accuracy of cancer diagnosis through sophisticated analysis of medical imaging and health data. Using deep learning models trained on extensive datasets and validated by clinical experts, Mamosis detects subtle anomalies that might be missed during routine examinations. The software provides clear, actionable reports within minutes, enabling healthcare professionals to make faster, more informed decisions. Its intuitive interface simplifies workflows by allowing secure image uploads and easy review of results. Mamosis prioritizes patient privacy with encrypted data handling and adheres to the highest international security standards. By combining AI intelligence with expert insight, Mamosis supports earlier detection and better patient outcomes. -
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Supervisely
Supervisely
The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more. -
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Pearl
Pearl
Pearl is a dental AI platform designed to enhance clinical decision-making and elevate patient care through advanced imaging analysis. Built on machine learning and computer vision, Pearl analyzes dental x-rays to detect pathologic, restorative, and anatomical features with high accuracy. Its AI enhancement technology improves image quality even when radiographs are degraded or improperly exposed. Pearl uses segmentation models to identify individual tooth structures and supporting anatomy for more precise diagnostics. Detection and measurement capabilities work together to assess decay size and anatomical conditions. The platform integrates seamlessly with existing dental imaging software, fitting naturally into daily workflows. Pearl is trusted globally and backed by enterprise-level support and deep expertise in medical AI. -
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Particle Health
Particle Health
At last, healthcare data is accessible nationwide. But “accessibility” doesn’t mean much when the data is practically unusable—stored by thousands of disparate hospitals, networks, and other sources in a hodgepodge of standards and formats. Particle Health’s modern API platform unifies records from over 270 million patients across the United States. We provide a single, secure access point for the data you need to fuel digital healthcare innovations rapidly and at scale. Quickly prototype solutions, optimize workflows, and explore use cases in a fully functional sandbox environment. Accelerate time to market with implementation guides, an intuitive user interface, and code snippets. Particle Health has spent years building the impossibly complex integrations needed to release historically siloed medical records. Because let’s face it—you’ve got bigger fish to fry. -
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Cogito
Cogito Tech LLC
Cogito Tech is a leading AI data solutions provider specializing in data labeling and annotation services. We deliver high-quality data for applications across computer vision, natural language processing (NLP), and content services. Our expertise extends to fine-tuning large language models (LLMs) through techniques like Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and customization to meet business objectives. The company is headquartered in the United States and was featured in The Financial Times’ FT ranking: The Americas’ Fastest-Growing Companies 2025 and Everest Group’s report Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024 Services offered by Cogito: • Image Annotation Service • AI-assisted Data Labeling Service • Medical Image Annotation • NLP & Audio Annotation Service • ADAS Annotation Services • Healthcare Training Data for AI • Audio & Video Transcription ServicesStarting Price: $25/Hour -
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Florence-2
Microsoft
Florence-2-large is an advanced vision foundation model developed by Microsoft, capable of handling a wide variety of vision and vision-language tasks, such as captioning, object detection, segmentation, and OCR. Built with a sequence-to-sequence architecture, it uses the FLD-5B dataset containing over 5 billion annotations and 126 million images to master multi-task learning. Florence-2-large excels in both zero-shot and fine-tuned settings, providing high-quality results with minimal training. The model supports tasks including detailed captioning, object detection, and dense region captioning, and can process images with text prompts to generate relevant responses. It offers great flexibility by handling diverse vision-related tasks through prompt-based approaches, making it a competitive tool in AI-powered visual tasks. The model is available on Hugging Face with pre-trained weights, enabling users to quickly get started with image processing and task execution.Starting Price: Free -
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Eyewey
Eyewey
Train your own models, get access to pre-trained computer vision models and app templates, learn how to create AI apps or solve a business problem using computer vision in a couple of hours. Start creating your own dataset for detection by adding the images of the object you need to train. You can add up to 5000 images per dataset. After images are added to your dataset, they are pushed automatically into training. Once the model is finished training, you will be notified accordingly. You can simply download your model to be used for detection. You can also integrate your model to our pre-existing app templates for quick coding. Our mobile app which is available on both Android and IOS utilizes the power of computer vision to help people with complete blindness in their day-to-day lives. It is capable of alerting hazardous objects or signs, detecting common objects, recognizing text as well as currencies and understanding basic scenarios through deep learning.Starting Price: $6.67 per month -
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Ximilar
Ximilar
Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.Starting Price: $0 -
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Azure AI Custom Vision
Microsoft
Create a custom computer vision model in minutes. Customize and embed state-of-the-art computer vision image analysis for specific domains with AI Custom Vision, part of Azure AI Services. Build frictionless customer experiences, optimize manufacturing processes, accelerate digital marketing campaigns, and more. No machine learning expertise is required. Set your model to perceive a particular object for your use case. Easily build your image identifier model using the simple interface. Start training your computer vision model by simply uploading and labeling a few images. The model tests itself on these and continually improves precision through a feedback loop as you add images. To speed development, use customizable, built-in models for retail, manufacturing, and food. See how Minsur, one of the world's largest tin mines, uses AI Custom Vision for sustainable mining. Rely on enterprise-grade security and privacy for your data and any trained models.Starting Price: $2 per 1,000 transactions -
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MedGemma
Google DeepMind
MedGemma is a collection of Gemma 3 variants that are trained for performance on medical text and image comprehension. Developers can use MedGemma to accelerate building healthcare-based AI applications. MedGemma currently comes in two variants: a 4B multimodal version and a 27B text-only version. MedGemma 4B utilizes a SigLIP image encoder that has been specifically pre-trained on a variety of de-identified medical data, including chest X-rays, dermatology images, ophthalmology images, and histopathology slides. Its LLM component is trained on a diverse set of medical data, including radiology images, histopathology patches, ophthalmology images, and dermatology images. MedGemma 4B is available in both pre-trained (suffix: -pt) and instruction-tuned (suffix -it) versions. The instruction-tuned version is a better starting point for most applications. -
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Hive Data
Hive
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.Starting Price: $25 per 1,000 annotations -
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Appen
Appen
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API. -
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Medical ChatBot
John Snow Labs
Chat with a medical generative AI that explains its answers, cites references, updates medical knowledge daily, and lets you add and choose knowledge bases. Pre-load the knowledge base and pre-train the model with 2,300+ reference datasets curated by medical domain experts, including hundreds of terminologies, medical research, clinical trials, patents, population health, cost, and public and regulatory data. Multiple sources of medical research and data sources indexed. Daily updates of new medical results, clinical trials, and terminologies. Ready to process millions or billions of documents. Scale the cluster to fit your needs. A medical chatbot is a type of conversational AI that uses natural language processing (NLP) to interact with users and provide them with medical information, advice, or support. They can be used for a variety of purposes. Answer general medical questions about diseases, health conditions, and treatment options. -
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Ailiverse NeuCore
Ailiverse
Build & scale with ease. With NeuCore you can develop, train and deploy your computer vision model in a few minutes and scale it to millions. A one-stop platform that manages the model lifecycle, including development, training, deployment, and maintenance. Advanced data encryption is applied to protect your information at all stages of the process, from training to inference. Fully integrable vision AI models fit into your existing workflows and systems, or even edge devices easily. Seamless scalability accommodates your growing business needs and evolving business requirements. Divides an image into segments of different objects within the image. Extracts text from images, making it machine-readable. This model also works on handwriting. With NeuCore, building computer vision models is as easy as drag-and-drop and one-click. For more customization, advanced users can access provided code scripts and follow tutorial videos. -
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DrChrono
DrChrono
Increase the efficiency of your medical practice with an all-in-one practice management, electronic health records, and medical billing platform from DrChrono. With its modern and simple interface and dozens of advanced features, DrChrono empowers medical practitioners to better serve their patients. Users can easily schedule patient appointments, check and edit patient charts, and manage billing with ease. -
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Feather
Feather
Feather is a HIPAA-compliant medical AI chat platform designed for healthcare professionals to securely handle sensitive patient data and streamline workflows. It offers features such as AI-powered clinical transcription, analysis of DICOM images (MRIs, X-rays, etc.), generation of SOAP and BIRP clinical notes, and secure cloud storage for confidential medical records. Key Features - AI chat interface for interacting with patient records, lab results, and clinical notes in a single workspace. - Secure handling of protected health information (PHI) with HIPAA-compliant cloud storage for medical data. - Automated AI-powered clinical documentation, including SOAP and BIRP notes generation from real-time interactions. - AI analysis of medical images like DICOM files (MRI, CT, X-ray, ultrasound). - Summarization and analysis of medical reports (lab, radiology, pathology).Starting Price: $49/month -
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Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
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BioSymetrics
BioSymetrics
We integrate clinical and experimental data using machine learning to navigate human disease biology and advance precision medicines. Our patent-pending Contingent AI™ understands relationships within the data to provide sophisticated insights. We address data bias by iterating on machine learning models based upon decisions made in the pre-processing and feature engineering stages. We leverage zebrafish, cellular and other phenotypic animal models to validate in silico predictions in vivo experiments and genetically modify them in vitro and in vivo, to improve translation. Using active learning and computer vision on validated models for cardiac, central nervous system and rare disorders, we rapidly incorporate new data into our machine learning models. -
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Recursion
Recursion
Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models. -
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Anolytics
Anolytics
Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe. -
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VideaAI
VideaAI
VideaAI is an artificial intelligence platform designed for dental practices to improve diagnostic accuracy, clinical workflows, and operational efficiency by analyzing dental imaging and practice data. It uses advanced machine learning models trained on large datasets of dental images to automatically analyze routine radiographs such as bitewing and panoramic X-rays, detecting clinical findings like cavities, bone loss, and other oral conditions that may be difficult to identify with the human eye alone. It presents these findings through clear visual overlays and annotations that help dentists explain diagnoses to patients and improve understanding of recommended treatments. VideaAI integrates directly into existing dental imaging systems and practice management software, delivering AI insights in real time at the point of care without disrupting the clinical workflow. -
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Hugging Face Transformers
Hugging Face
Transformers is a library of pretrained natural language processing, computer vision, audio, and multimodal models for inference and training. Use Transformers to train models on your data, build inference applications, and generate text with large language models. Explore the Hugging Face Hub today to find a model and use Transformers to help you get started right away. Simple and optimized inference class for many machine learning tasks like text generation, image segmentation, automatic speech recognition, document question answering, and more. A comprehensive trainer that supports features such as mixed precision, torch.compile, and FlashAttention for training and distributed training for PyTorch models. Fast text generation with large language models and vision language models. Every model is implemented from only three main classes (configuration, model, and preprocessor) and can be quickly used for inference or training.Starting Price: $9 per month -
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HL7 FHIR
HL7
FHIR is described as a 'RESTful' specification based on common industry-level use of the term REST. In practice, FHIR only supports Level 2 of the REST Maturity Model as part of the core specification, though full Level 3 conformance is possible through the use of extensions. Because FHIR is a standard, it relies on the standardization of resource structures and interfaces. This may be considered a violation of REST principles but is key to ensuring consistent interoperability across diverse systems. For each "resource type," the same set of interactions is defined, which can be used to manage the resources in a highly granular fashion. Applications claiming conformance to this framework claim to be conformant to "RESTful FHIR." Note that in this RESTful framework, transactions are performed directly on the server resource using an HTTP request/response. -
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Roboflow
Roboflow
Roboflow has everything you need to build and deploy computer vision models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you’re in need of data labeling, model training, or model deployment, Roboflow gives you building blocks to bring custom computer vision solutions to your business.Starting Price: $250/month -
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Enlitic Curie
Enlitic
Enlitic focuses the power of artificial intelligence into data management applications, enabling effective administration, processing, and sharing of patient data throughout the healthcare enterprise. The Enlitic Framework standardizes, protects, integrates, and analyzes medical imaging data to create the foundation of a real-world evidence platform that improves clinical workflows, increases efficiencies, and expands capacity. ENDEX™ standardizes your data. By using computer vision and natural language processing, ENDEX maps DICOM and metadata to consistent and standardized study descriptions enabling consistent hanging protocol displays, accurate data routing, improved billing capabilities and administrative staff can reclaim time from fixing hanging protocols or searching for studies. ENCOG™ is designed to de-identify medical imaging data while retaining clinically relevant information, saving you time and resources.Starting Price: $0.20/study -
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Dataocean AI
Dataocean AI
DataOcean AI is a leading provider of high-quality, labeled training data and comprehensive AI data solutions, offering over 1,600 off‑the‑shelf datasets and thousands of customized datasets for machine learning and AI applications. Dataocean's offerings cover diverse modalities (speech, text, image, audio, video, multimodal) and support tasks such as ASR, TTS, NLP, OCR, computer vision, content moderation, machine translation, lexicon development, autonomous driving, and LLM fine‑tuning. It combines AI-driven techniques with human-in-the-loop (HITL) processes via their DOTS platform, which includes over 200 data-processing algorithms and hundreds of labeling tools for automation, assisted labeling, collection, cleaning, annotation, training, and model evaluation. With almost 20 years of experience and presence in more than 70 countries, DataOcean AI ensures strong quality, security, and compliance, serving over 1,000 enterprises and academic institutions globally. -
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Keymakr
Keymakr
Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems. To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types. Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance.Starting Price: $7/hour -
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Amazon Bio Discovery
Amazon
Amazon Bio Discovery is an AI-powered application designed to accelerate early-stage drug discovery by combining computational biology models with real-world laboratory testing in a unified, “lab-in-the-loop” workflow. It provides scientists with direct access to a broad catalog of biological foundation models trained on large-scale biological datasets, enabling them to generate and evaluate potential drug candidates such as antibodies with greater speed and precision. Through an integrated AI agent, users can interact in natural language to select appropriate models, configure experiments, and optimize inputs without requiring advanced coding or infrastructure expertise. It allows researchers to build multi-step pipelines that combine different models, benchmark their performance, and reuse workflows across teams, improving collaboration between computational biologists and lab scientists. -
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Azure Health Bot
Microsoft
Azure Health Bot empowers developers in healthcare organizations to build and deploy AI-powered, compliant, conversational healthcare experiences at scale. It combines a built-in medical database with natural language capabilities to understand clinical terminology and can be easily customized to support your organization's clinical use cases. The service ensures alignment with industry compliance requirements and is privacy-protected to HIPAA standards. Create health bots using built-in medical knowledge bases, triage protocols, and language models trained to understand clinical terminology. Trigger seamless handoff from a bot interaction to a doctor, nurse, or support agent. Leverage a library of industry-specific scenario templates to accelerate the creation of healthcare use cases. Support your organization's custom scenarios with healthcare-specific configuration options and extensibility tools.Starting Price: $2.50 per 1,000 messages -
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Twine AI
Twine.net
Twine AI offers tailored speech, image, and video data collection and annotation services, including off‑the‑shelf and custom datasets, for training and fine‑tuning AI/ML models. It offers audio (voice recordings, transcription across 163+ languages and dialects), image and video (biometrics, object/scene detection, drone/satellite feeds), text, and synthetic data. Leveraging a vetted global crowd of 400,000–500,000 contributors, Twine ensures ethical, consent‑based collection and bias reduction with ISO 27001-level security and GDPR compliance. Projects are managed end‑to‑end through technical scoping, proofs of concept, and full delivery supported by dedicated project managers, version control, QA workflows, and secure payments across 190+ countries. Its service includes humans‑in‑the‑loop annotation, RLHF techniques, dataset versioning, audit trails, and full dataset management, enabling scalable, context‑rich training data for advanced computer vision. -
46
EyeFlow
SiliconLIFE
An easy to use, cloud platform, with high speed performance for Computer Vision + AI models development. Build data sets, upload videos and images, customize flows and use your datasets to train the model for performing various actions. Save time and improve business performance by optimizing results. EyeFlow is a video analytic and artificial intelligence platform that boost business solutions to optimize performance, cost and efficiency of companies. Upload your videos or images, identify and fill in what you want to detect, train the neural network and start using. EyeFlow platform for executing models in edge computing, through an end-point or on a local device. -
47
Intel Geti
Intel
Intel® Geti™ software simplifies the process of building computer vision models by enabling fast, accurate data annotation and training. With capabilities like smart annotations, active learning, and task chaining, users can create models for classification, object detection, and anomaly detection without writing additional code. The platform also provides built-in optimizations, hyperparameter tuning, and production-ready models optimized for Intel’s OpenVINO™ toolkit. Designed to support collaboration, Geti™ helps teams streamline model development, from data labeling to model deployment. -
48
Savana
Savana
Savana is an AI-driven clinical intelligence platform that transforms unstructured electronic medical record text into deep real-world evidence through advanced natural language processing. Since its inception in 2014, Savana has enabled the structuring and analysis of billions of clinical documents across multiple languages and countries, unlocking previously hidden insights embedded within healthcare data. Its EHRead NLP models power anonymization and pseudonymization tools capable of handling both structured and free‑text data at scale, having processed over 35 million documents. Savana serves hospitals, researchers, and health systems by generating actionable, research-grade evidence to support precision medicine, epidemiological studies like COVID-19 predictive analyses, and broader clinical data strategies, all while remaining among Europe's top HEOR (Health Economics and Outcomes Research) contributors. -
49
Azure Health Data Services
Microsoft
Azure Health Data Services is a suite of purpose-built technologies for protected health information (PHI) in the cloud. It's built on the global open standards Fast Healthcare Interoperability Resources (FHIR)® and Digital Imaging Communications in Medicine (DICOM). Ensure data privacy within compliance boundaries, de-identify data for secondary use, and generate insights with analytics and AI tools. Azure Health Data Services is the evolved version of Azure API for FHIR and offers additional technology and services. Existing customers can continue using the product without disruption to service or change in pricing structure. Unify healthcare data in the cloud to make PHI easier to exchange across the care continuum. Standardize diverse data streams such as clinical, imaging, device, and unstructured data using FHIR, DICOM, and MedTech services.Starting Price: $0.39 per GB per month -
50
AIMedInfo
Accreditation Council for Medical Affairs (ACMA)
AIMedInfo is an AI-enabled, cutting-edge, end-to-end fully integrated global medical information solution designed to enhance medical affairs productivity and engagement. This cloud-based platform utilizes sophisticated AI and machine learning models to rapidly, securely, and accurately process medical information, providing instant access to data and continuous learning opportunities. AIMedInfo offers multi-channel support for medical information intake, handling, and response, including AI-enabled chatbots and live chat agents to address healthcare professionals' (HCPs) and patients' inquiries 24/7. The platform seamlessly integrates data from standard response documents, prescribing information, and other sources, ensuring comprehensive and compliant medical information support. Additionally, AIMedInfo captures key insights and analytics on patient and HCP behavior, such as possible adverse event identification, sentiment analysis, and interaction frequency.
