Hire this AI Trainer
Sign in or create an account to invite AI Trainers to your job.
Aniket Nerali
AgencyKey Skills
Software
Top Subject Matter
No subject matter listed
Top Data Types
Top Task Types
Company Overview
t Concave AI, we don't just label data; we engineer it. As a specialised Data Design and Annotation Partner, we bridge the gap between raw information and high-performing, aligned intelligence. We help ML teams in high-stakes industries move from "data-rich" to "insight-ready." Our Philosophy: Engineering over Outsourcing. Unlike traditional labelling shops, Concave AI is ML-Engineer led. We understand the downstream impact of every bounding box, attribute tag, and RLHF preference. We treat data curation as a design challenge, ensuring your datasets are balanced, unbiased, and mathematically verified. Our Core Capabilities: 1. Dataset Design & Curation: We partner with you to architect the "Ground Truth." From taxonomy design to edge-case discovery, we ensure your data reflects the complexity of the real world. 2. High-Fidelity Annotation: Expert-in-the-loop labelling for RLHF, NLP, and Computer Vision. We specialise in complex, domain-specific tasks that require deep context—not just clicks. 3.Model Alignment & Evaluation: Beyond labeling, we offer Sycophancy Audits and Red-Teaming to identify model vulnerabilities, helping you ship safer, more reliable AI. 4. Quantifiable Quality: We replace "vibe checks" with rigorous benchmarks. Using Inter-Annotator Agreement (IAA) metrics like Cohen’s Kappa, we provide a transparent audit trail for every dataset we deliver.
Security
Security Overview
Concave AI maintains a multi-layered security framework designed to protect client IP and sensitive data at every stage of the annotation life cycle. Our protocols bridge enterprise-grade digital security with rigorous physical site management. 1. Physical & Personnel Security: Managed Facility: All 75 FTEs operate from a secure, Cloud Factory-style managed facility with 24/7 CCTV monitoring and restricted, badge-only access. Device-Free Workspace: Annotators are required to surrender personal electronic devices (mobile phones, tablets, external drives) before entering production areas to prevent unauthorized data capture. Vetted Workforce: Every team member undergoes background screening, identity verification, and signs a comprehensive, project-specific Non-Disclosure Agreement (NDA). 2. Data Infrastructure & Access Control: Role-Based Access Control (RBAC): We implement the principle of "least privilege." Annotators only see the specific data samples required for their current task, with no ability to view entire datasets. Zero-Download Environment: Our workflow utilises web-based work spaces (e.g., Label Studio, CVAT) where local downloads, screenshots, and "copy-paste" functions are strictly disabled. Encryption: All data is protected using end-to-end encryption—AES-256 for data at rest and TLS 1.2+ for data in transit. 3. Compliance & Auditing: Audit Trails: We maintain granular immutable logs of all platform activities, allowing us to track exactly who accessed which file and when. Anonymization: Whenever possible, we encourage the use of PII-masking or pseudonymization before data enters the annotation pipeline to add an extra layer of privacy. Continuous Monitoring: We perform regular internal security audits and vulnerability scans to ensure our systems evolve alongside emerging threats.
Labeling Experience
No Data Labeling experience added
Aniket N. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.