RagaAI Inc

RagaAI is the #1 AI testing platform which helps enterprises mitigate AI risks and make their models secure and reliable. The AI-testing methods used by most today are Ad-hoc, which both increases the time-commitment and reduces productivity while building models. Also it leaves un-foreseen risks, so they perform poorly post deployment and thus waste both time and money for the business. We have built an end-to-end AI testing platform which’ll help enterprises drastically improve their AI development pipeline and prevent inefficiencies and risks post deployment. Visit www.raga.ai to start your AI integrity journey today.

raga.ai

RagaAI Inc

raga.ai

HQUS

Team Size79

Open Jobs7

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: Enterprise AI testing and monitoring platform for evaluating, debugging, and scaling multimodal models and agents

Headcount (reported): 79 employees

Founder / CEO: Gaurav Agarwal

Notable product modules: Prism (data quality), Canvas (agent workflows), Catalyst (tracing & evaluation)

Reported funding: $4.7M seed (Jan 2024)

Company Overview

Problem Domain

AI model testing, monitoring, and reliability for enterprise deployments

Industry

Software Development

Funding Track Record

Seed- January 2024

$4.7M

Reported seed round with participation from multiple investors

Investor Signal

“Venture-backed (investors reported include TenOneTen Ventures, Exfinity Venture Partners, Anorak Ventures, pi Ventures)”

Founders

What we do

TL;DR

Company Overview

Funding Track Record

Founders

What we do

RagaAI Inc

raga.ai

RagaAI Inc

raga.ai

HQUS

Team Size79

Open Jobs7

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: Enterprise AI testing and monitoring platform for evaluating, debugging, and scaling multimodal models and agents

Headcount (reported): 79 employees

Founder / CEO: Gaurav Agarwal

Notable product modules: Prism (data quality), Canvas (agent workflows), Catalyst (tracing & evaluation)

Reported funding: $4.7M seed (Jan 2024)

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Company Overview

Problem Domain

AI model testing, monitoring, and reliability for enterprise deployments

Industry

Software Development

Funding Track Record

Seed- January 2024

$4.7M

Reported seed round with participation from multiple investors

Investor Signal

“Venture-backed (investors reported include TenOneTen Ventures, Exfinity Venture Partners, Anorak Ventures, pi Ventures)”

Founders

What we do

Join the Team

Data Operations Specialist (Healthcare Focus)

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

Role Overview

RagaAI is looking for a detail-oriented and tech-savvy Data Operations Specialist to manage, label, and transform internal datasets with a strong focus on healthcare data. This role plays a critical part in maintaining data integrity across multiple systems—including back-end platforms, Electronic Health Records (EHRs), and large-scale spreadsheets.

A significant portion of this role involves data labeling and tagging, where you will identify patterns, correct inconsistencies, and prepare high-quality datasets for analytics and AI model training.

Key Responsibilities

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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Multichannel Data Entry: Accurately enter and validate data across back-end applications, EHR systems, and cloud-based platforms.

Data Labeling & Tagging: Review healthcare-related text and image datasets, apply accurate labels, identify anomalies, and flag inconsistencies.

Spreadsheet Management: Create, maintain, and audit large datasets using Microsoft Excel and Google Sheets, leveraging advanced functions such as VLOOKUP, Pivot Tables, and conditional logic.

Data Cleaning & Transformation: Clean raw datasets by removing duplicates, correcting formatting issues, and converting data into structured, analysis-ready formats.

Quality Assurance: Conduct routine data audits to ensure accuracy, consistency, and compliance with healthcare and data governance standards.

Required Skills & Qualifications

Experience: 2+ years of experience in data operations, data entry, or data annotation.
Technical Skills: Advanced proficiency in Microsoft Excel and Google Sheets.
Systems Exposure: Hands-on experience working with back-end systems and/or EHR platforms.
Analytical Ability: Strong attention to detail with the ability to identify and resolve errors in large datasets efficiently.
Healthcare Exposure (Preferred): Familiarity with medical terminology, HIPAA compliance, or clinical workflows is a plus.

Preferred Attributes

Exceptional attention to detail—accuracy and precision are critical.
Ability to work independently with minimal supervision.
Strong organizational and time-management skills to handle multiple data streams effectively.

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Reveal Health Tech	🌍Remote	Administrative ServicesHealthInformation Technology	-
Pangram Labs	🇺🇸US	Data and AnalyticsDeepTechInformation TechnologySoftware	-
Mission.dev	🇨🇦Montréal, CA	DeepTechInformation TechnologySoftware	-
TalentAlly	🇺🇸Chicago, US	Administrative ServicesData and AnalyticsDeepTechHR and RecruitingMediaProfessional ServicesSoftware	-
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