Industries

We offer Data Annotation services to different industries.

Expert Agricultural Services

We leverage AI in agriculture for various tasks, including monitoring crop health, soil conditions, and field status. This technology also helps us to track growth progress, determine ripeness, and identify unwanted plants and weeds.
To achieve this, we create custom training datasets using a variety of annotation techniques, including bounding boxes, polygon annotation, semantic segmentation, cuboid annotation, key points, and polylines, to address different levels of complexity.

Innovative Healthcare Solutions

We provide accurately labelled and annotated medical imaging datasets to help implement and automate healthcare processes. Our expertise in the healthcare industry and proficiency with modern data annotation tools ensure the high quality of our radiology annotations.

Our in-house team of annotators and labellers categorises and labels various medical imaging datasets, including radiographs, CT scans, MRI scans, mammographies, and ultrasounds. We use a process-oriented approach to medical imaging data annotation to implement AI in medical diagnosis.

Clever Retail & E-commerce solutions

We provide the retail industry with high-quality training data for AI and machine learning applications to improve the buyer's experience. We create retail-specific training data that simplifies both in-store shopping and selling processes.
Using the latest annotation tools and experienced data annotators, we assist with your retail operations. This leads to improved Conversion Rates (CVR), Average Order Values (AOV), customer retention, and customer satisfaction.

Productive Automotive Services
We help the automobile industry with high-quality training data for AI and machine learning applications to fine-tune self-driving cars. Our data annotation experts provide industry-specific data annotation and labelling services.
We excel at categorising images and videos frame by frame, and annotating and labelling as many elements as possible in unstructured datasets—for example, pedestrians, cars, roads, lampposts, and traffic signs. This provides self-driving vehicles with the reliable functionality needed for advanced driver assistance systems (ADAS) like lane-keeping, adaptive cruise control, and collision avoidance.
Education Services
We provide the education sector with high-quality training data for AI and machine learning applications. Our services are designed to enhance and fine-tune critical educational tools, from intelligent tutoring systems and automated grading to personalised learning platforms.
Our team of data annotation experts categorises images, audio, and video to improve virtual tutoring, lecture summarisation, and classroom engagement monitoring. We also support STEM education by creating better visual learning tools. For language-based applications, our text annotation experts deliver data for content classification, sentiment analysis, and NLP models used in speech recognition and conversational AI. This high-quality data ultimately helps personalised learning systems analyse student behaviour and recommend tailored content.

FinTech Services
We assist the Fintech industry by providing high-quality training data for AI and machine learning models. Our services involve accurately labelling various financial data—including banking transactions, documents, audio, and images—with the right tags and metadata.

Our annotation services help power key applications in the financial sector, such as:

Fraud Detection

Risk Management

Credit Risk Analysis

Customer Support Automation

Transaction & Document Categorisation

Sentiment & Intent Analysis

Compliance & KYC (Know Your Customer) Verification

Indic Dialect Audio Annotation & Accent-Aware Speech Corpus
We specialise in creating high-quality annotated speech datasets across diverse Indic dialects and regional accents.
Our work enables AI systems to understand better and respond to the rich linguistic diversity of India.
Each audio clip is meticulously tagged with phonemes, speaker metadata, emotion, and dialectal variations.
Accent-aware corpora ensure inclusive and equitable voice AI, reducing bias and enhancing accessibility.
These datasets are critical for training ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP models.
Industries like voice assistants, edtech, telecom, and automotive benefit from our dialect-rich data.
Our human-in-the-loop process ensures linguistic accuracy and cultural relevance.
We support multiple Indian languages including Tamil, Telugu, Hindi, Kannada, Malayalam, and more.
By bridging dialectal gaps, we make AI more localized, contextual, and impactful.
This is where machine learning meets linguistic intelligence — voice tech made truly Indian.