Alternatives to Kili Technology

APISCRAPY is an AI-driven web scraping and automation platform converting any web data into ready-to-use data API. Other Data Solutions from AIMLEAP: AI-Labeler: AI-augmented annotation & labeling tool AI-Data-Hub: On-demand data for building AI products & services PRICE-SCRAPY: AI-enabled real-time pricing tool API-KART: AI-driven data API solution hub  About AIMLEAP AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT, and Digital Marketing services. AIMLEAP is certified as ‘The Great Place to Work®’. Since 2012, we have successfully delivered projects in IT & digital transformation, automation-driven data solutions, and digital marketing for 750+ fast-growing companies globally. Locations: USA: 1-30235 14656 Canada: +1 4378 370 063 India: +91 810 527 1615 Australia: +61 402 576 615

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

Amazon SageMaker, a fully managed service, provides data scientists and developers with the ability to quickly build, train, deploy, and deploy machine-learning (ML) models. SageMaker takes the hard work out of each step in the machine learning process, making it easier to create high-quality models. Traditional ML development can be complex, costly, and iterative. This is made worse by the lack of integrated tools to support the entire machine learning workflow. It is tedious and error-prone to combine tools and workflows. SageMaker solves the problem by combining all components needed for machine learning into a single toolset. This allows models to be produced faster and with less effort. Amazon SageMaker Studio is a web-based visual interface that allows you to perform all ML development tasks. SageMaker Studio allows you to have complete control over each step and gives you visibility.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

Our company is the premier provider of data labeling services in AI. We cover industries like Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance. With over 500+ annotation gurus and multilingual support, we provide efficient and accurate services for both enterprise and R&D projects. Our range of services includes Computer Vision and NLP annotation, data processing, and more. Choose Label Your Data for unparalleled quality of your training datasets. Our top priority is to ensure the security and quality of client's data. To ensure the confidentiality of client data, our facilities and teams have been certified by ISO 27001 and PCI DSS (level 1). We adhere to the most important industry security standards, such as GDPR and CCPA.

Data labeling project management is made easier with the fastest data annotation tool. High level of collaboration and automation.

The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.

All large language models require high-quality training data, whether you create the data yourself or use existing models. A human-in the-loop labeling system provides real-time feedback to fine-tune datasets and build the most performant AI models. We offer precise data labeling and faster human input in order to improve the robustness of LLMs to better adapt to enterprise applications. Our labeler management allows for us to segment teams. You only pay for the experience and skill sets required by your data labelling projects. Sapien is able to scale up or down labeling operations for large and small annotation projects. Human intelligence at scale. We can customize our labeling models to meet your specific data formats, data types, and annotation requirements.

Haystack’s pipeline architecture allows you to apply the latest NLP technologies to your data. Implement production-ready semantic searching, question answering and document ranking. Evaluate components and fine tune models. Haystack's pipelines allow you to ask questions in natural language, and find answers in your documents with the latest QA models. Perform semantic search to retrieve documents ranked according to meaning and not just keywords. Use and compare the most recent transformer-based language models, such as OpenAI's GPT-3 and BERT, RoBERTa and DPR. Build applications for semantic search and question answering that can scale up to millions of documents. Building blocks for the complete product development cycle, including file converters, indexing, models, labeling, domain adaptation modules and REST API.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

Capture production data. Evaluate outputs together and fine-tune the performance of your LLM. A detailed log overview will help you understand what is happening in production. Work with domain experts, product managers and engineers to create reliable model outputs. Track AI metrics, such as speed, token usage, and quality scores. Copilot automates model evaluations and improvements for your use cases. Create, manage, or optimize prompts for precise and relevant interactions between AI models and users. Compare fine-tuned models and foundation models to improve prompt performance. Build a fine-tuning dataset with your team. Create custom fine-tuning data to optimize model performance.

Experience unmatched functionality with a cutting-edge AI data platform. It works smarter and delivers quality data to launch successful AI projects. ShaipCloud uses patented technology to collect and track workloads, transcribe and monitor audio and utterances and annotate texts, images and videos, as well manage quality control and data transfer. Your AI project will receive the highest-quality data. ShaipCloud not only provides you with high-quality data quickly and at a low cost, but also grows along with your AI project as it grows. This is due to its scalability and integrations of the platform that are required to make your work easier and deliver successful outcomes. The platform reduces friction in working with a global workforce and offers greater visibility and real-time control. There are data platforms. There are AI data platforms. The ShaipCloud Human-in-the Loop platform is a secure platform that allows users to collect, transform, and annotate their data.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

Superb AI offers a new generation of machine learning data platform to AI team members so they can create better AI in a shorter time. The Superb AI Suite, an enterprise SaaS platform, was created to aid ML engineers, product teams and data annotators in creating efficient training data workflows that save time and money. Superb AI can help ML teams save more than 50% on managing training data. Our customers have averaged a 80% reduction in the time it takes for models to be trained. Fully managed workforce, powerful labeling and training data quality control tools, pre-trained models predictions, advanced auto-labeling and filtering your datasets, data source and integration, robust developer tools, ML work flow integrations and many other benefits. Superb AI makes it easier to manage your training data. Superb AI provides enterprise-level features to every layer of an ML organization.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Lamini allows enterprises to transform proprietary data into next-generation LLM capabilities by offering a platform that allows in-house software teams the opportunity to upgrade to OpenAI level AI teams, and build within the security provided by their existing infrastructure. Optimised JSON decoding guarantees a structured output. Fine-tuning retrieval-augmented retrieval to improve photographic memory. Improve accuracy and reduce hallucinations. Inferences for large batches can be highly parallelized. Parameter-efficient finetuning for millions of production adapters. Lamini is the sole company that allows enterprise companies to develop and control LLMs safely and quickly from anywhere. It uses the latest research and technologies to create ChatGPT, which was developed from GPT-3. These include, for example, fine-tuning and RLHF.

Machine teaching that is highly efficient An annotation tool powered with active learning. Prodigy is a scriptable tool that allows data scientists to do annotations themselves. This allows for a new level in rapid iteration. Transfer learning technologies allow you to train production-quality models using very few examples. Prodigy allows you to take full advantage modern machine learning by using a more agile approach for data collection. You'll be more productive, more independent, and deliver more successful projects. Prodigy combines state-of-the art insights from machine learning with user experience. You are only required to annotate examples that the model doesn't already know. The web application is flexible, powerful, and follows modern UX principles. It's simple to understand: it's designed for you to focus on one decision at the time and keep you clicking, much like Tinder for data.

Test, launch and refine Gen AI prompting. RAG Agents. Datasets. Workflows. A single workspace for Engineers and Product Managers to explore LLM technology.

Create, evaluate, deploy, refine, and improve custom natural language processing models. Your team can automate workflows without the need for an AI expert team or expensive infrastructure. Metatext makes it easy to create customized AI/NLP models without any prior knowledge of ML, data science or MLOps. Automate complex workflows in just a few steps and rely on intuitive APIs and UIs to handle the heavy lifting. Our APIs will handle all the heavy lifting. Your custom AI will be trained and deployed automatically. A set of deep learning algorithms will help you get the most out of your custom AI. You can test it in a Playground. Integrate our APIs into your existing systems, Google Spreadsheets, or other tools. Choose the AI engine that suits your needs. Each AI engine offers a variety of tools that can be used to create datasets and fine tune models. Upload text data in different file formats and use our AI-assisted data labeling tool to annotate labels.

Our AI Training Data Platform combines the best of data annotators and computer vision capabilities, with the power of the AI Community of professional annotations. GT Manage: Our proprietary platform manager for our 1M+ community. GT Annotate is our proprietary data annotation software. GT Data: Our global expertise for data collection and creation. Human-powered AI is the foundation of all AI. Our fully automated platform allows sophisticated data annotation across data types, all within the same software. It also provides seamless project and AI Community Management. Ground Truth (GT Annotate) is our proprietary software for data annotation. It was carefully designed to allow teams to create quality AI training datasets quickly and accurately. Below are some examples of how the technology is used.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

Scale Data Engine helps ML teams build better datasets. Bring together data, ground truth and model predictions for a quick fix to model failures and issues with data quality. Scale Data Engine can optimize your labeling costs by identifying errors, class imbalances, and edge cases within your data. Improve model performance by identifying and fixing model failures. Curate unlabeled data using active learning and edge case analysis to find and label high-value information. Curate the best datasets with ML engineers and labelers on the same platform. Visualize and explore your data easily to quickly identify edge cases that require labeling. Check the performance of your models and ship only the best. Our powerful UI allows you to view your data, aggregate statistics, and metadata with rich overlays. Scale Data Engine allows visualization of images, lidar scenes and videos. All associated labels, predictions and metadata are displayed overlaid.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

You can build, deploy and monitor AI-powered applications in just a few simple clicks. No coding or machine learning expertise is required. Stop puzzling together disjointed tools, featuring-engineering your way to production, and calling in favors to get results. With a platform that is designed to build, monitor and improve AI solutions throughout their entire lifecycle, managing all your AI initiatives will be a breeze. No more hyperparameter tuning and feature engineering. Graft guarantees that everything you build will work in production because the platform is production. Your AI solution should be tailored to your business. You retain control over the AI solution, from foundation models to pretraining and fine-tuning. Unlock the value in your unstructured data, such as text, images, videos, audios, and graphs. Control and customize solutions at scale.

GPT can be fine-tuned without any technical knowledge. AI models can be improved by customizing them to meet your needs. Prompteasy.ai allows you to fine-tune AI in just a few seconds. We help you fine-tune AI to suit your needs. You don't need to know anything about AI fine-tuning. Our AI models will handle everything. As part of our initial launch, we will offer prompteasy free. Pricing plans will be released later this year. Our vision is that AI will be accessible to everyone. We believe the real power of AI is in the way we train and orchestrate foundational models as opposed to using them off-the-shelf. Upload relevant materials, and then interact with our AI using natural language. We build the dataset for you. You can chat with AI, download datasets, and fine-tune GPT.

We power customized and scalable generative artificial intelligence for the world's largest institutions. We provide institutions with category-leading tools and infrastructure to integrate their private and relevant public data, allowing them to leverage commercial generative AI in a way they could not before. Access in-depth analytics and understand how your AI can add value. Autonomous model tuning: Watch as your AI improves itself, fine-tuning performance based on data in real-time and user interactions. Control AI costs precisely, from the overall budget to the individual API key usage. Chi Core will transform your AI journey, simplify and increase the value of AI roadmaps, while seamlessly integrating cutting edge AI into your business technology stack.

Klu.ai, a Generative AI Platform, simplifies the design, deployment, and optimization of AI applications. Klu integrates your Large Language Models and incorporates data from diverse sources to give your applications unique context. Klu accelerates the building of applications using language models such as Anthropic Claude (Azure OpenAI), GPT-4 (Google's GPT-4), and over 15 others. It allows rapid prompt/model experiments, data collection and user feedback and model fine tuning while cost-effectively optimising performance. Ship prompt generation, chat experiences and workflows in minutes. Klu offers SDKs for all capabilities and an API-first strategy to enable developer productivity. Klu automatically provides abstractions to common LLM/GenAI usage cases, such as: LLM connectors and vector storage, prompt templates, observability and evaluation/testing tools.

Your AI deserves only the best data. Our unique mobile data platform, Truetag quality control and industry-leading 99% accuracy will take the stress out getting your machine learning datasets onto Tictag. Tictag’s mobile data platform is the first of its kind. It combines a user friendly interface with gamified features to produce high-quality datasets. This is technology enhanced labeling at its finest. Tictag collects and labels complex and intricate datasets with near-100% precision for AI and ML in short turnaround times. Data labeling is now faster and easier than ever. Do it right the first time. Truetag's technology-assisted quality control by Tictag ensures that your data is exactly what you need. Tictag helps people who are looking for a new source of income or a way to improve their skills by supplying them with the data they need.

Data labeling software that makes your AI smart -- Data labeling tool to identify various data types Using Machine Learning and Active Learning, automatically label up to 95% of your data. • Manage all your training data from one place You can control quality and privacy

People For AI is data labelling company. Our service will provide you with high-quality data to train your computer vision, NLP, or speech recognition algorithms. We use AI-powered tools for data labeling that are tailored to your task. You data is in safe hands with the right tool, team and methodology. We only hire long-term labelers and are therefore specialists in high-value data annotating. However, we can manage all types of projects. Visit our website to learn more about our labelers.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

Data cleaning and labeling are simplified with easy integration. You can deploy and monitor AI applications on your existing platforms. Start with your target business ROI. Then, define quality, cost and speed priorities. Super.AI will deliver the results. You can use any combination of AI, human, and RPA software bots. Mix and match AI models from Amazon and Google. First-generation IDP solutions used basic AI technologies that required extensive setup, post-processing and exception handling. Super.AI IDP, a next-generation solution, is built on top a unified AI platform. It can process any type of document or unstructured data, leverages the most recent AI for the best results and guarantees outcomes. A data processing crowd that is available on demand accelerates automation while reducing cost and complexity. The platform automatically determines the best combination of AI, humans, and bot workers to ensure results. Users can then make trade-offs between speed, quality, and cost.

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one click. If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.

Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.

Atlas integrates with your workflow by organizing text, embedding datasets and creating interactive maps that can be explored in a web browser. To understand your data, you don't need to scroll through Excel files or log Dataframes. Atlas automatically analyzes, organizes, and summarizes your documents, surfacing patterns and trends. Atlas' pre-organized data interface makes it easy to quickly identify and remove any data that could be harmful to your AI projects. You can label and tag your data, while cleaning it up with instant sync to your Jupyter notebook. Although vector databases are powerful, they can be difficult to interpret. Atlas stores, visualizes, and allows you to search through all your vectors within the same API.

Our nucleus is innovation. Cogito supports AI businesses and business initiatives by deploying a skilled workforce for data annotation, content moderation and any other data processing services. Our data enrichment services offer one-stop solutions to all your data-related requirements. Our highly skilled, scalable and brilliant minds combine their knowledge to quickly meet your needs with precision accuracy while maintaining complete data confidentiality. We specialize in Human Empowered Automation. Our mission is to help customers innovate and scale through solving their daily data problems. We partner with Artificial Intelligence, Technology, and eCommerce clients to create high-quality data sets that can be used to enhance and build cutting-edge business applications. Businesses and AI Enterprises can benefit from cost-effective, high-quality, scalable, and secure data enrichment services.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

The Hasty platform offers everything you need to transform raw images and video into production-ready models. The Hasty platform helps world-class companies bring AI into production. Hasty's solution for annotation is simple. You annotate the images and we use them to train AI models, making it faster to create new annotations. This constantly improving approach ensures you build your data assets faster than ever. AI consensus scoring eliminates the need for complex review workflows and expensive redundancies. We use AI to identify potential errors that can be corrected with a single click. The platform's model playground allows for quick creation of models. They can be tuned down to the smallest parameters and then deployed in our data annotation environment, enabling unprecedented annotation speed. The models can be exported and deployed within your own environment.

Generative AI Lab by John Snow Labs is a cutting edge platform that empowers enterprises to create, customize and deploy state of the art generative AI models. The lab offers a robust end-to-end system that simplifies integration of generative AI in business operations. It is accessible to all organizations and industries. The Generative AI lab offers a no code environment that allows users to create sophisticated AI without extensive programming knowledge. This democratizes AI, allowing business professionals, data scientist, and developers to collaborate and build models that can turn data into actionable insight. The platform is built upon a rich ecosystem that includes pre-trained AI models, advanced NLP capabilities and a comprehensive set of tools to streamline the process of customizing AI to specific business needs.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

Instill Core is a powerful AI infrastructure tool that orchestrates data, models, and pipelines, allowing for the rapid creation of AI-first apps. Instill Cloud is available or you can self-host from the instill core GitHub repository. Instill Core includes Instill VDP: Versatile Data Pipeline, designed to address unstructured data ETL problems and provide robust pipeline orchestration. Instill Model: A MLOps/LLMOps Platform that provides seamless model serving, fine tuning, and monitoring to ensure optimal performance with unstructured ETL. Instill Artifact: Facilitates orchestration of data for unified unstructured representation. Instill Core simplifies AI workflows and makes them easier to manage. It is a must-have for data scientists and developers who use AI technologies.

Tune Studio is a versatile and intuitive platform that allows users to fine-tune AI models with minimum effort. It allows users to customize machine learning models that have been pre-trained to meet their specific needs, without needing to be a technical expert. Tune Studio's user-friendly interface simplifies the process for uploading datasets and configuring parameters. It also makes it easier to deploy fine-tuned machine learning models. Tune Studio is ideal for beginners and advanced AI users alike, whether you're working with NLP, computer vision or other AI applications. It offers robust tools that optimize performance, reduce the training time and accelerate AI development.