Trinetra AI

Premium workflows for AI training data

Build better AI models with high-quality data annotation and custom collection pipelines.

Trinetra AI helps startups and enterprises turn raw inputs into training-ready datasets with reliable QA, scalable delivery, and domain-specific workflows across vision, NLP, and speech.

Start Annotating Dataset →
Startup
Company
AI
Native
Secure
Workflows

Everything You Need

Professional-grade tools for image annotation and dataset management, built to help AI teams move faster with precision, visibility, and secure collaboration.

Multiple Annotation Types View Details

Rectangle, polygon, polyline, semantic segmentation, cuboids, keypoints, and text annotations with pixel-perfect precision for production AI workflows.

Lightning Fast Performance Specs

Optimized rendering, reviewer queues, and shortcut-driven tools for rapid annotation cycles and faster dataset delivery.

Team Collaboration Team Tools

Share projects, manage permissions, assign tasks, and collaborate with internal teams and reviewers in real time.

Secure & Private Security Specs

Enterprise-grade security with encrypted storage, controlled access, NDA-backed operations, and isolated delivery for sensitive datasets.

Analytics Dashboard Insights View

Track throughput, monitor quality, review workforce performance, and generate reporting across every stage of your pipeline.

Export Formats

Export to COCO, YOLO, Pascal VOC, JSON, and custom schema formats for seamless training across modern ML frameworks.

AI Services & Data Intelligence

AI Data Annotation

High-fidelity training data for computer vision, generative AI, NLP, and multimodal intelligence systems. Clean labeling that keeps production models accurate and reliable.

LiDAR & 3D Points Cloud
Semantic Segmentation
Video Annotation
Text Annotation
Audio Annotation

AI Data Collection →

Scalable collection pipelines for AI products, analytics platforms, voice systems, and model evaluation programs across structured and unstructured data.

📱 Mobile Data
🌐 Web Data
📊 Surveys
📍 Geo Data
🔊 Multimedia

AI Data Annotation

High-precision annotation pipelines for computer vision, NLP, and multimodal AI systems with production-grade quality control.

Annotation Capabilities

  • ✔ 2D Bounding Boxes & Object Detection
  • ✔ Semantic & Instance Segmentation
  • ✔ LiDAR 3D Cuboids & Point Cloud Labeling
  • ✔ Video Tracking & Frame-by-Frame Annotation
  • ✔ Text, NLP & Entity Labeling
  • ✔ Audio & Speech Annotation
  • ✔ Multi-layer QA & accuracy validation
  • ✔ Keypoint Annotation (Pose Estimation)
  • ✔ Medical Image Annotation (DICOM)
  • ✔ 3D Mesh & Polygon Masking
2D Bounding Box Annotation
3D LiDAR Annotation
Computer Vision Annotation
AI Annotation Interface
PROCESS

A structured delivery workflow from scope to final dataset

01

Requirement Analysis

Deep dive into your ML model's objectives to define edge cases, class taxonomies, and precise annotation guidelines.

02

Dataset Planning

Strategic sourcing of raw data, balancing class distributions, and configuring custom workflows for your specific domain.

03

Data Collection

Execution of ethical data scraping, multi-sensor hardware captures, or synthetic generation to build the foundational dataset.

04

Annotation

Expert human-in-the-loop labeling combined with AI-assisted pre-labeling for bounding boxes, polygons, and segmentation.

05

Quality Assurance

Multi-layered QA protocols involving automated validation checks and senior reviewer audits to ensure 99.9% accuracy.

06

Delivery

Secure dataset export via custom APIs or encrypted formats ready for immediate ingestion into your training pipeline.

AI Data Collection

End-to-end data sourcing, capture, validation, and delivery pipelines for production-ready AI systems. Covers real-world AI needs including LiDAR, web data, audio pipelines, and multimodal dataset engineering.

What We Provide

  • ✔ Real-world image & video data collection (dashcam, mobile, CCTV)
  • ✔ LiDAR, sensor & geospatial dataset acquisition
  • ✔ Web scraping & structured dataset generation
  • ✔ Audio, speech & multilingual voice datasets
  • ✔ Data cleaning, filtering & quality validation
  • ✔ Custom dataset pipelines for AI/ML training
  • ✔ Scalable workforce & rapid delivery
  • ✔ Synthetic Data Generation
  • ✔ Multi-angle Camera Rig Operations
  • ✔ Human-in-the-loop (HITL) Validation
Data Collection Rig
AI Drone LiDAR
Web Data Scraping
Human In The Loop Operations

Why Choose Trinetra AI?

We combine advanced tooling with expert human-in-the-loop workflows to deliver datasets that pass rigorous enterprise standards.

🏆

Expert Annotators

Our workforce is highly trained in complex annotation tasks, including LiDAR and medical imagery.

🔒

Data Security

Strict NDA protocols, secure delivery environments, and end-to-end encryption.

📈

Scalable Operations

Ramp up from 1,000 to 1,000,000+ annotations smoothly with our agile workforce.

⚙️

API Integrations

Seamlessly push/pull data via custom API hooks compatible with leading ML platforms.

OUR WORK

AI Data Annotation Portfolio

Explore some of the high-fidelity annotation projects we have delivered across computer vision, autonomous driving, and medical imaging.

Autonomous Driving

High-Precision Scene Parsing

Full-scene semantic segmentation and instance-level masking for complex urban environments and road infrastructure.

Semantic, Instance, and Panoptic Segmentation Comparison
Advanced 3D Annotation

Ground Truth Comparison: Raw vs. Annotated

Transforming raw 3D point cloud data into training-ready assets using pixel-perfect cuboid bounding boxes and precise semantic labels.

LiDAR Annotation Comparison
Healthcare AI

Medical DICOM Segmentation

High-fidelity polygon masking and detailed keypoint identification designed specifically for complex radiology and MRI scan analysis.

Medical Imaging
Human Perception

Keypoint & Pose Tracking

Sophisticated landmark mapping and tracking for accurate facial recognition, body pose estimation, and gesture-based interactions.

Pose Estimation

Industries

Built for demanding AI use cases across sectors

We align annotation logic and collection strategy to your model goals, operating environment, and performance requirements.

Autonomous Vehicles AI Illustration

Autonomous Vehicles

Use case: Object detection, lane marking, 3D LiDAR cuboids, and multi-sensor fusion tracking.

Benefit: Accelerate perception model reliability with high-fidelity, production-grade training data.

Healthcare AI

Healthcare AI

Use case: Medical image labeling, text structuring, and document annotation workflows.

Benefit: Support faster model training with quality-controlled datasets.

Retail & E-commerce Dashboard

Retail & E-commerce

Use case: Product classification, attribute tagging, catalog cleanup, and OCR.

Benefit: Enhance search, recommendations, and product intelligence systems.

Surveillance & Security

Surveillance & Security

Use case: Video event tagging, anomaly detection preparation, and identity-safe data workflows.

Benefit: Enable more reliable monitoring and alerting models.

Robotics

Robotics

Use case: Pose estimation, object tracking, segmentation, and environment labeling.

Benefit: Train systems for navigation, picking, and interaction tasks.

Document AI / OCR

Document AI / OCR

Use case: Form parsing, handwriting annotation, layout tagging, and text extraction support.

Benefit: Turn unstructured documents into training-ready assets.

The Gold Standard

Continuous Quality Enforcement

97.7%

Manual Audit Coverage

99.9%

Precision Benchmark

3-Layer

Review Architecture

24H

Rejection Resolution

DATA PRECISION SHOWCASE

Raw Data to Trained Intelligence

See how Trinetra AI transforms complex 3D point clouds into actionable training datasets. Our experts identify, classify, and segment every object with pixel-perfect accuracy, enabling autonomous systems to perceive the world with confidence.

3D Cuboid Annotation

Precise 3D bounding boxes with heading, orientation, and velocity attributes for tracking vehicles and pedestrians.

Semantic Segmentation

Classifying every single point in a LiDAR scan to differentiate between road, sidewalk, vegetation, and buildings.

Sensor Fusion Validation

Cross-referencing 3D LiDAR data with 2D camera feeds to ensure perfect alignment across multiple sensor modalities.

Raw 3D LiDAR Data Labeled 3D LiDAR Data
Before: Raw Point Cloud
After: Annotated Data

Drag the slider to compare raw vs annotated data

CORE TECHNOLOGIES

AI Annotation Engines

Built for advanced AI training, multimodal understanding, and enterprise-grade foundation model development.

LiDAR Point Cloud

Expert 3D object detection, semantic segmentation, and multi-frame tracking in dense point clouds for autonomous systems.

3D Bounding Boxes Semantic Labeling

Computer Vision AI

High-precision 2D/3D labels for object detection, segmentation, tracking, and deep scene understanding across video pipelines.

Instance Segmentation Keypoint Mapping

Multimodal AI

Structured annotation across text, image, audio, and complex document streams for modern Generative AI and LLM workflows.

OCR Validation Sentiment Analysis
PROTOCOL KNOWLEDGE

Frequently Asked

Quick answers to common questions about our high-fidelity data protocols and intelligent automation.

We support autonomous mobility, retail intelligence, healthcare imaging, smart cities, enterprise automation, and any data-intensive AI workflow that depends on accurate annotation and structured datasets.

Most projects can start within 48 hours after requirements are finalized. Timelines depend on volume, complexity, quality benchmarks, and the type of annotation pipeline you need.

We use role-based access, controlled delivery environments, encrypted workflows, NDA-backed operations, and enterprise-ready data handling practices for sensitive AI and annotation programs.

Our LiDAR and 3D annotation workflows target high-precision quality thresholds, supported by multi-layer review, expert QA, and client-specific accuracy benchmarks for production deployment.

About Trinetra AI

Trinetra AI Solutions Pvt Ltd is an AI-focused technology company delivering data annotation, dataset engineering, model support workflows, and perception pipelines for next-generation machine learning systems. We help organizations build reliable AI products with precise data, scalable operations, and enterprise-grade quality control.

Our Mission

To accelerate global AI development by providing the highest fidelity ground-truth data, empowering machine learning models to perform flawlessly in real-world environments.

  • ✦ Accelerate Model Time-to-Market
  • ✦ Eliminate Data Bottlenecks
  • ✦ Ensure Production-Grade Reliability

Our Vision

To become the industry standard for AI data pipelines, bridging the gap between raw unstructured data and highly intelligent, autonomous systems.

  • ✦ Pioneer Advanced Tooling
  • ✦ Set Global Quality Standards
  • ✦ Foster Ethical AI Development
AI
ML
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Trusted by Leading AI Teams Worldwide
GET IN TOUCH

Contact Us

Have a project in mind or need expert data annotation? Reach out to our team and we'll get back to you within 24 hours.

General Inquiries

contact@trinetraaidata.com

Strategy & Sales

contact@trinetraaidata.com

Location

Remote, India

Trinetra AI Assistant

Always Online
Hello! How can I help you with your data annotation needs today?