Build high performing AI and ML models with accurately annotated training data at scale.
Insufficient and poorly labeled AI training datasets can affect the accuracy, reliability, and overall performance of AI and ML models. HitechDigital offers comprehensive AI data annotation services to transform your huge and unstructured raw data into meaningful training datasets at scale.
As a leading data annotation company, our comprehensive data annotation and labeling services tackle image, text, and video data. We deliver accurately annotated datasets to prime your AI and ML data annotation models. Our bounding box, semantic segmentation, named entity recognition, sentiment analysis, and object tracking offerings ensure that your algorithms are trained on reliable, context-aware datasets.
Our data annotation services are designed to meet a variety of needs, including image annotation, video annotation, text annotation, semantic segmentation, and entity recognition. This way, we ensure that your algorithms are trained on trustworthy, context-rich datasets. Whether you’re looking to boost object detection in computer vision systems or fine-tune NLP models for chatbots, we consistently apply human-in-the-loop validation to reduce bias and enhance prediction accuracy. As your dedicated data annotation partner, we leverage cutting-edge annotation tools alongside skilled teams to manage complex datasets while upholding quality, accuracy, and quick turnaround times.
HitechDigital is more than just a machine-learning data annotation company. We are your strategic partner in delivering accurately labeled datasets for high-impact use cases like autonomous driving systems, medical diagnostics, e-commerce product tagging, smart surveillance, and much more.
100mn+
Data points
300+
Data annotators
100+
Data types annotated
99.5 %
Accuracy
Create high quality training datasets to power your AI and ML models
Annotate Data With Us Now →
Unlock the power of precise, tailored and scalable data annotation services to drive the success of your AI and ML algorithms.
More than 95% of our clients are recurring, a testament to the unwavering trust and satisfaction our services consistently deliver.
Operations Head, Construction Technology Company, Germany
Vice President, Operations, Californian Technology Company
Director Operations, Data Analytics Company, USA
High-quality labeled data directly translates to improved precision and reliability of your AI and ML models.
Outsourcing annotation accelerates data preparation, allowing your team to focus on core model development tasks.
Leveraging our services eliminates the overhead associated with in-house annotation teams and infrastructure.
We provide flexibility to handle fluctuating data volumes, ensuring your projects remain on schedule.
Benefit from our experienced annotation professionals and established quality assurance workflows for superior results.
Our rigorous processes and attention to detail guarantee consistently accurate and reliable training datasets.
Power your AI models with cutting edge annotation strategies
Draw a rectangle or square around the object:
Draw polygons to define object shape and location:
Plot continuous lines for linear features.
Marking points of interest for localization of elements.
Monitor objects in image sequences and video frames.
Create 3D models with data from LiDAR, stereo cameras.
Cross-Industry Utilization of Data Annotation Services
Used in pathology and neurology to identify patterns for making quick and accurate diagnoses. It helps train AI systems in differentiating data obtained from normal and injured medical images to generate the final reports of the examined individuals.
Used for product categorization it improves search relevance and user experience. Annotators are shown product titles, descriptions, and images and are asked to tag them from a list of departments the e-commerce store has provided.
The increasing adoption of image data annotation tools in the automotive sector is driving the growth of the data annotation tools market. It is used in the development of self-driving cars.
Used to detect issues such as plant diseases or pests’ presence accurately, it helps farmers to improve crop quality while reducing losses due to issues that affect yield.
Used to detect fraud and assess risk, analyze investments, personalize customer service and adhere to regulatory compliance, fast-track decision-making, and optimize operations.
Data annotation in GIS analytics and mapping is used to improve city planning, analyze project risks, and optimize infrastructure planning and management.
Meticulous annotation workflows to ensure precision and consistency in every data point.
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Prioritizing client’s growth, fostering trust, collaboration, and leading with empowerment to achieve shared success.
Bachal Bhambhani
Sr. Vice President, Sales
Bachal represents HitechDigital in North America, and helps client and our production teams collaborate effectively on projects and partnership initiatives.
Snehal Joshi
Director, Data Solutions & BPM
Snehal, a seasoned leader, manages a large data team. He's delivered numerous projects, driving growth through process innovation for clients across industries.
We annotate text, image, audio, video, and LIDAR Point cloud data depending on your specific project requirements.
Our rigorous quality control mechanism to ensure the quality of annotated data includes a blend of human expertise and automated tools. In-built validation, spot checks and multi-level quality controls are some of these. Our teams also adhere to industry best practices of developing clear annotation guidelines and establishing continuous feedback loops.
We have a team of 300 qualified annotation specialists to handle massive volumes of data. The team can be ramped up at short notice to meet spikes in volume, corresponding to business needs. Our teams also use production-grade annotation platforms, automated workflows and cutting-edge tools to accelerate our annotation processes. A human in the loop approach ensures that we are not bogged down by the limitations of automation.
Our data annotation specialists meticulously label raw data (images, text, and video) to make it usable for AI and ML models. They identify objects, categorize information, and provide context, ensuring the data is accurate and consistent with effective model training and performance. Their expertise is crucial for building intelligent systems.
We offer comprehensive data annotation support across various modalities, including images (bounding boxes, segmentation), text (NER, sentiment analysis), and video (object tracking). Our services are tailored to your specific AI and ML needs, ensuring high-quality labeled datasets for diverse applications and model types.
We foster a collaborative and growth-oriented environment, valuing our annotation specialists’ expertise. We provide continuous training, use leading-edge tools, and offer flexible work arrangements. Our commitment to quality and innovation makes us a leading choice for annotation professionals seeking meaningful work.
High-quality data annotation is fundamental for machine learning success because it directly impacts model accuracy and reliability. Poorly labeled data leads to flawed training, resulting in inaccurate predictions and hindering the deployment of effective AI solutions. Precise annotations ensure models learn correctly and generalize well.
Our process involves understanding your project requirements, secure data ingestion, precise annotation by skilled specialists using advanced platforms, rigorous quality assurance checks, and timely delivery of labeled datasets. We leverage machine learning tools to enhance efficiency while maintaining human oversight for accuracy.
Our training process is focused on ensuring precision and expertise. There is an initial orientation program for all annotators coming on board which gives them a bird’s eye view of data annotation, its impact on AI models, industry application and the need for accuracy in annotating. The next level of domain-specific training makes the annotators thoroughly acquainted with detailed annotation guidelines.
Hands-on practice sessions and iterative feedback help to refine skills, while quality control exercises reinforce consistency and accuracy. Given that datasets are continually evolving, the teams are trained to adapt to the changes. Advanced tool training is also imparted when called for.
Yes, we do offer free pilot projects to help you gain confidence in our services and to help you evaluate our team’s capabilities and assess the overall impact of our services on your processes. During the trial, our team will work closely with you to understand your requirements and give you a complete download of our end-to-end processes.
