Menu
Annotate text, image, audio, LiDAR, and video data
Train the annotated data to build complex AI models
Assign & Track the annotation tasks to your team
Collaborate with the team to manage AI project
Test the output of the trained AI model with 1-click
Verify & Validate the post processed data logs
AI-assisted 2D and 3D labeling tools
8X faster throughputs than manual labeling
Powerful APIs for seamless pipeline integration
Easier project setup & in-build team Collaboration tool
Built-in verification & validation modules
Real-time annotator productivity analytics
Assured security and compliance
Save time & resources with AI actionable, that helps enterprises automate business processes
that rely on interpreting video, image, text, or audio.
Accurate object detection platform to capture complex changes over time across frames in any scenarios. Tracked classes include customers, store assistants, store objects, price tags, etc.
Bounding boxes, cuboids, polygons, key points, and lines.
We are equipped with AI & ML assisted tools to power all unique use-cases across industries with high-quality image datasets for object detection, localization, and segmentation.
2D and 3D Bounding boxes, polygons, key points, and lines.
With AuVi, you can annotate / label sentences or paragraphs with metadata about the selected words. This helps majorly in NLP uses cases in bringing clarity or context to your ML models.
Sentiment Annotation Intent Annotation Semantic Annotation Linguistic Annotation
AuVi enables annotation for Speech Scoring, Voice Activity Detection (VAD), Speaker Diarisation, Speaker Identification, Speech Recognition, Emotion Recognition tasks and more
Audio Sentiment Annotation Intent Annotation Named entity recognition Audio classification
An advanced annotation platform to locate and identify various objects, understand relationships between objects, predict behavior and more.
Augment ground-truth training data with infinite varieties of synthetic data and expose your model to more data than you can otherwise collect. Unlike dummy data, synthetic test data gives unprecedented levels of realism to products and is easy and fast to generate.
Foundational Tools
of Our Solution
Smart ML-assisted labeling tools is trained for recognizing objects and localization in images and videos. It supports wide range of use cases across industries.
Accurate object and movement detection in mining grounds.
Labelled store objects
Accurate motion detection
Use smart ML-assisted polygon labeling tools for different shapes and objects training for images and videos. This Advanced platform quickly helps to achieve high quality at scale.
Accurate detection of masks
Use smart ML-assisted lines annotation tool to accurately define lane lines in drivable areas.
Smart ML-assisted tool to create ground truth datasets for 3D perception from 2D images and videos. Use train AI models in high-traffic to detect objects or human movement using 3D cuboids for better navigation/low-risk.
Use smart ML-assisted Semantic tool for pixel-wise image labelling for better perception models. It is used to identify objects of interest from faraway cameras and it can provide individually segmented objects of the same class by assigning unique instance IDs to each object of interest..
Use smart ML-assisted high-precision landmarks tool to determine shape variations in 2d images and videos etc. It points accurately to detect facial features, expressions, and emotions, movement, human figure, poses etc.
You are one step closer
to start your AI project.
SandLogic Technologies Pvt. Ltd.
2nd floor, Garuda BHIVE, BMTC Complex, Old Madiwala, Kuvempu Nagar, Stage 2, BTM Layout, Bengaluru, Karnataka – 560068. India.
SandLogic Technologies Pvt. Ltd. © 2024. All rights reserved. | Terms of Use | Privacy Policy
We’re partners in your Artificial Intelligence journey, and trusted by leading
organizations across the globe for our unparalleled expertise and business value proposition.
Low-Code Integrations
Third-Party Connectors
No Upfront Costs
Future-Ready Platform
Consultative Approach