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Innotrix

Innotrix

Agency
INDIA flag
Chinsurah, India
$5.00/hrExpert15+GDPR

Key Skills

Software

AppenAppen
ArgillaArgilla
ClickworkerClickworker
CrowdSourceCrowdSource
Data Annotation TechData Annotation Tech
iMeritiMerit
LabelboxLabelbox
LionbridgeLionbridge
MercorMercor
MindriftMindrift
OneFormaOneForma
RemotasksRemotasks
Scale AIScale AI
TolokaToloka
TelusTelus
Don't disclose

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
TextText

Top Label Types

Action Recognition
Audio Recording
Bounding Box
Classification
Data Collection

Company Overview

INNOTRIX Innotrix is a professional data labeling provider delivering high-quality training data for AI and machine learning applications across industries. MISSION: Accelerate AI development through precise, scalable data labeling services that transform raw data into actionable insights. SERVICES: Image annotation (bounding boxes, segmentation, classification), video annotation (object tracking, action recognition), text annotation (NER, sentiment analysis), audio transcription, and 3D point cloud labeling for autonomous systems. UNIQUE METHODS: Multi-tier QA with 95%+ accuracy, AI-assisted pre-labeling, real-time monitoring dashboards, consensus-based validation, and continuous annotator training programs. INDUSTRIES: Autonomous vehicles, healthcare AI, retail, agriculture, manufacturing, security, NLP, and robotics. SECURITY: ISO 27001 certified, GDPR compliant, end-to-end encryption, strict NDAs, and regular security audits. WORKFORCE: 500+ trained annotators, 25+ QA specialists, and domain experts with comprehensive certification programs. ACHIEVEMENTS: 1,000+ completed projects, 50+ million annotations, 98% client retention, 96% average accuracy. NOTABLE CLIENTS: Partnered with leading technology companies, automotive manufacturers, healthcare providers, and Fortune 500 enterprises. Innotrix combines expertise, quality control, and scalable operations for exceptional global data labeling services.

ExpertEnglishBengaliHindi

Security

Security Overview

Our company follows strict data security and privacy protocols to ensure the confidentiality, integrity, and availability of client data. All annotators are trained in data privacy, confidentiality agreements (NDAs), and responsible AI data handling practices. Access to project data is role-based and limited to authorized team members only. Sensitive datasets are handled using secure systems with controlled access, password-protected devices, and encrypted storage where applicable. We comply with GDPR-aligned data protection standards and follow industry best practices inspired by ISO 27001 for information security management. Client data is never reused, shared, or retained beyond project requirements. Our workflows include quality assurance checks, audit trails, and internal reviews to ensure data accuracy, security, and compliance throughout the annotation lifecycle.

Security Credentials

GDPR

Labeling Experience

Data Collection & Annotation Specialist

Don T DiscloseVideoSegmentationClassification
This project involved large-scale real-world image and video data collection on their platform to support computer vision AI model training. The scope included capturing diverse visual data in natural environments while following strict data guidelines. Tasks focused on collecting clear, well-framed images and short video clips suitable for downstream annotation such as object detection, action recognition, and scene understanding. Data quality was ensured by adhering to platform instructions, maintaining proper lighting, stability, and coverage, and submitting only guideline-compliant samples. All submissions went through platform-level validation and quality checks before acceptance.

This project involved large-scale real-world image and video data collection on their platform to support computer vision AI model training. The scope included capturing diverse visual data in natural environments while following strict data guidelines. Tasks focused on collecting clear, well-framed images and short video clips suitable for downstream annotation such as object detection, action recognition, and scene understanding. Data quality was ensured by adhering to platform instructions, maintaining proper lighting, stability, and coverage, and submitting only guideline-compliant samples. All submissions went through platform-level validation and quality checks before acceptance.

2025
OneForma

Ai trainer

OneformaTextEvaluation RatingPrompt Response Writing SFT
Human in the loop LLM training project involving prompt response writing, evaluation and rating of model outputs, text classification, summarization, translation review, and multilingual quality assurance (EN-HI-BN).

Human in the loop LLM training project involving prompt response writing, evaluation and rating of model outputs, text classification, summarization, translation review, and multilingual quality assurance (EN-HI-BN).

2025 - 2025