Data & Analytics

BasicAI offers comprehensive data annotation services and an advanced, all-in-one smart data annotation platform designed for AI/ML model training. With over 7 years of experience, BasicAI provides professional data labeling for diverse data types, including image, video, LiDAR fusion, NLP, and large language models (LLMs). The platform features AI-powered annotation tools, scalable workflows, and robust quality checks, ensuring high accuracy and efficiency. BasicAI supports private deployment within your infrastructure for enhanced data security and control. It caters to industries such as automotive, robotics, agriculture, and smart cities, helping transform raw data into precise ground truth datasets to elevate machine learning performance.

Acme AI is a comprehensive AI enterprise offering a range of services to support the development and enhancement of artificial intelligence systems. Their core offerings include fully-managed data annotation and labeling services for computer vision, natural language processing, and automatic speech recognition models. Beyond data services, Acme AI also specializes in custom solution development for frontier technologies and provides affordable remote team placements for various AI and IT roles, such as ML Engineers, LLMOps Specialists, and Data Scientists. They cater to AI giants, startups, and organizations looking to fine-tune ML models, enhance workforces, and adopt AI capabilities, leveraging a large, multi-specialized workforce in Bangladesh.

Innovatiana delivers ethical data labeling and annotation services, focusing on unlocking frontier data with impact. They build complex, high-quality AI datasets tailored to specific projects, supporting the training, fine-tuning, and powering of AI models across 20+ sectors. Innovatiana emphasizes an ethical and responsible approach, valuing annotators and professionalizing data labeling. They offer services for computer vision, generative AI models, content moderation, RLHF, document processing, and natural language processing. Their method involves dedicated project managers, rigorous quality controls, and transparent pricing, ensuring reliable and ethically sourced data for optimal model performance.

Peekator is an AI-powered survey platform designed to streamline market research by automating every step of the insights journey. It features Conversational AI that asks meaningful follow-up questions based on responses, making surveys feel more natural and uncovering deeper insights. The platform also includes AI Coding to quickly categorize large sets of text data, transforming open-ended responses into actionable insights in seconds. Users can export data to editable PowerPoint decks with a single click, saving hours on report generation. Additionally, Peekator provides AI Recommendations, analyzing data to generate tailored action points and next steps, helping users drive smarter, data-driven decisions. The platform emphasizes data quality with rigorous pre-screening, fraud detection, and post-survey data cleaning.

Dataocean AI is a leading data provider specializing in high-quality AI training data and services for global innovation. The platform empowers over 1100 AI enterprises and academic institutes with a vast catalog of over 1800 off-the-shelf datasets, alongside customized data collection and labeling services. It supports diverse data types including speech, ASR, TTS, text, NLP, lexicon, machine translation, image, CV, OCR, and multimodal data. Dataocean AI's offerings are crucial for developing advanced AI models in areas like Generative AI, Ethical AI, and Machine Learning, ensuring clients' models remain competitive. They also provide data services for large language models, autonomous driving, and content moderation, catering to a wide range of industry solutions.

GeoFinderAI is an AI-powered tool designed to accurately predict the location where any photo was taken. By analyzing visual clues such as architecture, vegetation, signage, terrain, and sky patterns, its advanced AI model, trained on millions of geotagged images, can pinpoint locations with remarkable accuracy. It offers fast predictions, typically under 30 seconds, covering over 190 countries. GeoFinderAI prioritizes user privacy, processing images and immediately discarding them without storage. Each prediction includes coordinates, region, country, a confidence score, and an interactive map result. It also provides a clue breakdown, showing the visual signals the AI used, and can analyze EXIF metadata for enhanced accuracy. The tool is trusted by OSINT analysts, journalists, researchers, and travel enthusiasts.

Selvi Technology specializes in developing innovative AI-powered vision infrastructure, offering solutions for computer vision and GNSS-independent visual navigation. Their core products, GÖRÜ® and UYAZ®, provide advanced capabilities for various platforms. GÖRÜ® is an AI-supported visual positioning and computer vision payload for ground platforms such as unmanned ground vehicles, rovers, and forklifts, enhancing situational and spatial awareness. UYAZ® is a native 'flight AI' payload for unmanned aerial vehicles (UAVs), enabling GNSS-independent navigation, in-flight image assessment, and environmental awareness. Selvi Technology focuses on transforming visual data into actionable decisions for critical missions, leveraging deep learning, multi-sensor fusion, SLAM, and autonomy for robust performance in diverse environments.

Groundlight AI is a computer vision platform designed to simplify the creation of robust vision solutions for enterprises. It allows users to interpret images using simple English natural language queries and minimal code, delivering instant yes or no answers. The platform combines traditional deep learning with expert human supervision and real-time optimization. Groundlight enables developers to build reliable visual applications without requiring machine learning expertise, abstracting away complexity. It supports various applications including industrial process control, inspections, mobile robot inspections, warehouse safety, and SOP monitoring, transforming any camera into an intelligent sensor for real-time insights and automation.

Neevo AI is a platform designed to improve artificial intelligence systems by leveraging human input. It connects companies with a global community of contributors who complete various tasks to train and refine AI models. Users can sign up, choose from available projects involving text, audio, image, or video data, and get paid for their contributions. The platform emphasizes the need for human-trained AI to ensure accuracy and offers a straightforward process for individuals to participate. It requires contributors to be human, have some spare time, and a PayPal account to receive payments, making it accessible to a broad audience looking to earn rewards while contributing to cutting-edge AI development.

Crowdworks AI is an AI technology company specializing in intelligent data solutions for businesses. They offer a range of customized AI solutions, including Agentic AI, generative AI, and language models, designed to enhance enterprise data value and build trustworthy AI systems. Their services span various sectors, from Enterprise AI, which includes building diverse LLM services and their proprietary SLM WorksOne, to Industrial AI for optimizing production and quality control, and Consumer AI for integrating generative AI into daily life through applications like AI camera apps. They also provide Physical AI solutions to enable robots and autonomous vehicles to interact with the real world using precise data. Crowdworks AI emphasizes ethical AI development and offers solutions for every stage of Agentic AI adoption.

Standard Bots provides an integrated solution for industrial automation, featuring AI-native robots designed and assembled in the USA. Their product line includes Spark, Core, Thor, and DROID Bolt robots, catering to tasks from light-duty automation to heavy lifting and welding. The platform boasts no-code software, allowing factory workers to operate robots with minimal training, and an easy-to-program routine editor. A key differentiator is its physical AI platform, enabling robots to learn tasks through demonstration, capture human skill via onboard vision, and train models in the cloud for speed and accuracy. This self-correcting AI adapts to changes, making complex automation accessible and efficient for various manufacturing applications.

Distilabel is an open-source framework designed for engineers to create synthetic data and integrate AI feedback, building fast, reliable, and scalable pipelines based on verified research papers. It supports diverse AI projects, including traditional predictive NLP tasks like classification and extraction, as well as generative and large language model scenarios such as instruction following, dialogue generation, and AI-based judging. The framework's programmatic approach facilitates the creation of scalable pipelines for data generation and AI feedback, aiming to accelerate AI development by producing high-quality, diverse datasets. Distilabel emphasizes data quality to improve AI output and reduce compute costs, allowing users to synthesize and judge data efficiently. It also helps in fine-tuning custom LLMs by integrating AI feedback from various LLM providers through a unified API, ensuring flexibility, scalability, and fault tolerance.

easy-dataset is a powerful application designed for building high-quality datasets specifically for Large Language Model (LLM) fine-tuning, Retrieval-Augmented Generation (RAG), and model evaluation. It features an intuitive interface and robust built-in tools for document parsing, intelligent segmentation, data cleaning, and augmentation. The platform can convert domain-specific documents in various formats like PDF, Markdown, DOCX, TXT, and EPUB into structured datasets. Key capabilities include intelligent question generation, domain label tree building, answer generation with LLM API optimization, and a comprehensive model evaluation system with automated and human blind testing. It supports multiple dataset types, custom prompts, and various export formats, making it a versatile tool for LLM development.

Tarsyer offers AI computer vision software designed for precise monitoring and insights in video surveillance, revolutionizing operations with predictive analytics. It helps businesses perceive and preempt issues by capturing real-time details for better decision-making in operations, safety, risks, and quality monitoring. The system provides instantaneous alerts to avoid costly downtime, accidents, or mistakes, with self-learning capabilities that improve over time. Tarsyer's solutions include products like Store Manager for retail operations, Production Monitoring for high-speed conveyor lines, Warehouse Manager for goods and vehicle tracking, and Safety Manager for workplace safety. It also offers TVR for AI video management and Bridge for secure remote access.

OpenTrain AI serves as a comprehensive talent network for AI training and data labeling, connecting AI companies with over 144,000 pre-vetted AI trainers and data labelers across 180+ countries. The platform supports diverse AI training needs such as RLHF, LLM evaluation, red teaming, and various forms of data annotation including vision, text, audio, and 3D. Users can choose between a self-service model to post jobs and receive curated shortlists of experts, or opt for a fully managed service where OpenTrain AI handles recruiting, onboarding, training, and quality assurance. It integrates with numerous annotation platforms like Label Studio and AWS SageMaker, allowing clients to deploy talent into their existing tools without vendor lock-in. The platform also features built-in project management tools and global payment processing.

CamCom is an award-winning, industry-agnostic Deep Learning Computer Vision (DLCV) platform designed for visual inspections. It excels in identifying micro-defects during assembly/manufacturing and macro-damages in the aftermarket on diverse surfaces like metal, plastic, glass, and rubber. By pioneering the use of Artificial Intelligence and associated technologies, CamCom ensures objectivity and consistency in visual inspection processes, which are often subjective. The platform offers solutions for public safety, automotive manufacturing, finished vehicle logistics, automotive aftermarket, motor insurance, warehousing, and pharmaceuticals, helping to increase efficiencies and offer non-linear scalability.

Argilla is an open-source collaboration tool designed for AI engineers and domain experts to build high-quality datasets and improve AI models. It emphasizes data quality, ownership, and efficiency, particularly within Natural Language Processing (NLP) projects. The platform facilitates human-in-the-loop feedback, allowing domain experts to focus on key data for language model fine-tuning, RLHF (Reinforcement Learning from Human Feedback), and evaluation. Argilla integrates seamlessly into existing workflows, enabling rapid iteration from prototype to production maintenance. It provides an intuitive API and user-friendly interface, making it easier to set up active learning applications and incorporate human feedback efficiently. Argilla is trusted by researchers and data scientists for its adaptability and ability to adopt a data-centric approach to NLP and ML solutions.

People For AI specializes in providing high-quality AI training data services through expert data labeling and annotation. They cater to various industries, handling projects from complex computer vision tasks like image segmentation for autonomous vehicles and microscopy, to nuanced natural language processing (NLP) for legal documents and content moderation. The company emphasizes an ethical, human-first approach, utilizing in-house labelers on long-term contracts rather than crowdsourcing, ensuring consistent quality and security. They adapt to any data labeling tool, whether open-source, proprietary, or in-house, and offer dedicated project managers to define annotation strategies and ensure quality through an agile, iterative process. People For AI is GDPR-compliant and committed to client-defined quality KPIs.

Pixel Annotation is a leading AI data annotation company based in India, specializing in high-quality data annotation services to improve AI model training and performance. They offer a comprehensive suite of services including image annotation (2D bounding boxes, 3D cuboids, polygon, segmentation, key point), text annotation (entity recognition, sentiment analysis, intent tagging), video annotation, and audio annotation. The company caters to diverse industries such as healthcare, autonomous vehicles, retail, and manufacturing, ensuring tailored solutions for specific needs. Founded in 2024 by entrepreneurs with extensive experience in AI software and digital marketing, Pixel Annotation emphasizes precision, quality assurance, and scalable solutions, utilizing advanced tools to deliver accurate and reliable data labeling.

Haidata (formerly Ainnotate) offers comprehensive AI data collection and annotation services, crucial for training robust machine learning models and LLMs. Their services span image, video, audio, text, 3D point cloud, and geo-spatial data labeling, ensuring high accuracy with multi-level quality control. Haidata utilizes its proprietary AIDAC platform for streamlined data collection, featuring Android and iOS apps, dual-channel audio recording, and offline capabilities. They also provide solutions for synthetic dataset generation and semi-automatic annotations to accelerate the labeling process. Serving diverse industries like autonomous vehicles, healthcare, and e-commerce, Haidata aims to provide reliable AI data solutions with a focus on quality and efficiency, boasting over 99% accuracy and fast turnaround times.

Label My Data specializes in providing high-quality, reliable datasets tailored for Artificial Intelligence (AI) and Machine Learning (ML) model development, with a strong focus on healthcare. The platform offers comprehensive services including raw data collection and supply across text, audio, video, and image domains, with a particular expertise in medical datasets such as CT scans, X-rays, MRI, ultrasound, echocardiography, pathological microscopy, and histopathology images. Beyond raw data, Label My Data provides annotation and labeling services for medical, multimedia, and textual datasets, ensuring structured and model-friendly data. Every dataset undergoes thorough quality and consistency checks to verify accuracy, integrity, and completeness, making it ideal for AI developers, healthcare startups, research teams, and enterprises seeking real-world, privacy-protected, and research-ready medical datasets.

arivis Cloud is a digital, cloud-based platform designed for biotech researchers to automate and customize image processing tasks. Equipped with an AI toolkit, it allows users to easily train deep learning models for complex feature segmentation in scientific images, all without needing to write any code. The platform offers customized image analysis workflows to improve throughput and reproducibility, making it ideal for automating mundane and repetitive tasks. Leveraging cloud infrastructure, arivis Cloud provides a scalable, secure, flexible, and mobile solution, helping to reduce costs associated with system hardware and software while ensuring reproducible results for large datasets.

AI Verse offers a powerful solution for generating synthetic image datasets specifically designed for computer vision applications. Its procedural engines, Helios for indoor and Gaia for outdoor scenes, can produce unlimited, diverse, and fully-labeled images in hours, a process that traditionally takes months. The platform ensures pixel-perfect annotations across 8 types, including Classes, Instances, Depth, and 2D/3D Bounding Boxes. By simulating actual sensor physics and incorporating procedural variation, AI Verse addresses the domain gap problem, ensuring high realism and accuracy for AI model training. This approach eliminates privacy concerns associated with real-world data and significantly accelerates time-to-market for AI solutions.

David AI is an audio data research company specializing in creating high-quality, proprietary audio datasets for advanced AI models. Their mission is to enable natural human-AI interaction through voice, developing datasets with rigorous research processes. They offer a suite of featured datasets like Converse for two-speaker conversations, Atlas for multilingual data, Chorus for multi-speaker scenarios, and Dialog for expert conversations. These datasets are utilized by Fortune 100 companies and research labs for applications in speech recognition, translation, synthesis, and conversational AI. David AI also partners with research teams to design new data shapes for specific use cases.