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GOALCRYST INDIA PRIVATE LIMITED

GOALCRYST INDIA PRIVATE LIMITED

Agency
INDIA flag
Bengaluru, India
$6.00/hrExpert100+SOC 2ISO 27001GDPR

Key Skills

Software

CVATCVAT
LabelboxLabelbox
PlaymentPlayment
RoboflowRoboflow
Scale AIScale AI
Other

Top Subject Matter

No subject matter listed

Top Data Types

AudioAudio
ImageImage
VideoVideo

Top Label Types

Bounding Box
Cuboid
Object Detection
Polygon
Segmentation

Company Overview

Goalcryst is a fast-growing Business Process Outsourcing (BPO) organization delivering end-to-end outsourcing solutions across national and global markets. By combining Financial Services and Business Process Management expertise, Goalcryst unlocks measurable business value across industries and service lines. Through innovative excellence frameworks and continuous productivity improvements, we help clients reduce costs, improve process efficiency, enhance operational effectiveness, and deliver superior customer experiences. As a one-stop service provider for multi-channel Financial Servicing and Business Process Outsourcing, we transform customer interactions with domain expertise and operational excellence. Our heritage is built on long-term client relationships grounded in consistent delivery and sustainable results. Our specialized services include Data Annotation, high-quality Audio processing, advanced Text analytics, and precise LIDAR data solutions—empowering AI, automation, and digital transformation initiatives. Our Vision is to deliver world-class customer experiences by collaboratively transforming business performance. Our Mission is to be the most dynamic and profitable partner in business management services, offering reliable, value-driven, and stable outsourcing solutions. Guided by strong corporate values, we focus on long-term growth, trust, and measurable success for our clients.

ExpertEnglishKannadaTamilTeluguMalayalamHindi

Security

Security Overview

Goalcryst India Private Limited maintains a comprehensive information security framework designed to protect client data in AI annotation and model training projects. Our controls are aligned with industry best practices and structured around security principles consistent with SOC 2 trust service criteria (security, confidentiality, and availability). Administrative Controls: All employees sign legally binding Non-Disclosure Agreements (NDAs) and undergo background verification prior to onboarding. Mandatory information security and data privacy training is conducted periodically. Access to client data is granted strictly on a need-to-know basis under Role-Based Access Control (RBAC) and least-privilege principles. Physical Security: Our facilities are protected by 24/7 CCTV surveillance and controlled access systems. Production areas are restricted to authorized personnel only. Personal devices and removable media are prohibited in secure work zones. A strict clean desk policy is enforced. Technical Safeguards: We maintain a secure network infrastructure protected by enterprise-grade firewalls, endpoint protection, and regularly updated antivirus solutions. Secure encrypted protocols (VPN, HTTPS, SFTP) are used for all data transmission. USB ports and unauthorized downloads are restricted. Systems are regularly patched, and access rights are periodically reviewed. Monitoring & Incident Management: System activity logs are monitored to ensure accountability. Internal audits and security reviews are conducted periodically. Formal incident response procedures are in place for timely detection, reporting, and remediation. Secure data retention and certified deletion protocols are followed upon project completion. Goalcryst is committed to maintaining confidentiality, integrity, and availability of client information in alignment with globally recognized security standards.

Security Credentials

SOC 2ISO 27001GDPR

Labeling Experience

Semantic Segmentation

OtherImagePolygonSegmentation
This project focuses on designing and implementing a real-time semantic segmentation system for autonomous vehicles. The system will enable a vehicle to understand and classify each pixel in a scene (e.g., road, pedestrians, vehicles, traffic signs, lane markings, buildings, sky, and other vehicle & cityscapes datasets) using deep learning and computer vision techniques.

This project focuses on designing and implementing a real-time semantic segmentation system for autonomous vehicles. The system will enable a vehicle to understand and classify each pixel in a scene (e.g., road, pedestrians, vehicles, traffic signs, lane markings, buildings, sky, and other vehicle & cityscapes datasets) using deep learning and computer vision techniques.

2025
Roboflow

Object Annotation

RoboflowImagePolygonSegmentation
We performed object marking and labeling on images taken inside a refrigerator. Items such as groceries, milk, juice, vegetables, fruits, ice cream, cake, and other food products were accurately annotated.

We performed object marking and labeling on images taken inside a refrigerator. Items such as groceries, milk, juice, vegetables, fruits, ice cream, cake, and other food products were accurately annotated.

2023 - 2024

LIDAR

Other3D SensorCuboid
In the LiDAR module, we performed 3D cuboid annotation on point cloud data to detect and localize objects in the driving environment. We marked accurate bounding cuboids around cars, buses, heavy vehicles, light vehicles, persons, and animals. Each cuboid was adjusted for correct dimensions and orientation to ensure precise 3D positioning. This work supports accurate object detection, distance estimation, and improved environmental understanding for the autonomous vehicle system.

In the LiDAR module, we performed 3D cuboid annotation on point cloud data to detect and localize objects in the driving environment. We marked accurate bounding cuboids around cars, buses, heavy vehicles, light vehicles, persons, and animals. Each cuboid was adjusted for correct dimensions and orientation to ensure precise 3D positioning. This work supports accurate object detection, distance estimation, and improved environmental understanding for the autonomous vehicle system.

2023 - 2024

Audio to Text Transcription

OtherAudioSegmentationTranslation Localization
We worked on converting spoken Kannada audio into accurate text using speech recognition techniques. The task involved processing audio recordings, cleaning background noise, and generating reliable Kannada text transcriptions. This work supports applications such as voice assistants, automated documentation, and regional language processing systems.

We worked on converting spoken Kannada audio into accurate text using speech recognition techniques. The task involved processing audio recordings, cleaning background noise, and generating reliable Kannada text transcriptions. This work supports applications such as voice assistants, automated documentation, and regional language processing systems.

2022 - 2023