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CloudFactory Tech Stack

Human-in-the-loop AI platform for data labeling and model improvement

Technology, Information and Internet US / UK / Nepal / Kenya 1,001–5,000 employees Founded 2010 Privately Held

CloudFactory combines machine intelligence with distributed human expertise to close the gap between AI promise and production reality. The stack reveals a modern ML-ops foundation (PyTorch, TensorFlow, Kubernetes, Snowflake, dbt), but the real signal is in the hiring composition: data teams (16 roles) match engineering (17), reflecting a company where data quality and annotation are operational bottlenecks, not afterthoughts. Active projects span model evaluation, diagnostic accuracy improvement, and biomedical metadata validation—all problems solved by human-in-the-loop correction, not automation alone.

Tech Stack 21 technologies

Core StackJavaScript TypeScript React Python PyTorch TensorFlow Figma Go Kubernetes AWS Postman NetSuite Rippling dbt Snowflake SQL cURL Payfit IAM ASHRAE BIM

What CloudFactory Is Building

◆Challenges

Payroll accuracy and compliance
Ensuring data accuracy
High-accuracy annotation and data preparation
Payroll discrepancy resolution
Global payroll process optimization
Reducing technical debt
Payroll discrepancies
Technical friction during onboarding
Process standardization
Capacity shortfalls

▲Active Projects

Global payroll operations
Payroll process standardization
Payroll data insights
Metadata validation for biomedical journals
Build quarterly business reviews
Evaluate champion/challenger models
Sso integration
Training material design for medical labeling
Ai model improvement for diagnostic accuracy
Treasury management

Hiring Activity

Accelerating85 roles · 40 in 30d

Department

Engineering

17

Data

16

Construction

11

Finance

9

Ops

9

Healthcare

7

Product

4

Marketing

3

Seniority

Junior

25

Senior

23

Mid

21

Lead

4

Principal

4

Intern

3

Manager

2

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About CloudFactory

CloudFactory operates a platform for AI teams to develop, deploy, and monitor reliable models through continuous human feedback. Founded in 2010, the company has grown to serve ML teams at mid-market and enterprise companies, combining internal engineering talent with a distributed network of skilled annotators and labelers across nine countries (US, UK, Germany, Nepal, Kenya, Colombia, Romania, France, Philippines). The platform spans data collection, curation, annotation, and reinforcement learning from human feedback (RLHF). Beyond the core product, CloudFactory runs internal consulting and advisory services. Active projects reveal operational complexity: global payroll standardization and compliance sit alongside model improvement work, indicating both a growing internal operations backbone and heavy investment in healthcare/biomedical AI use cases.

HeadquartersUS / UK / Nepal / Kenya

Company Size1,001–5,000 employees

Founded2010

Hiring MarketsUnited States, Romania, Germany, Nepal, Colombia, Kenya, United Kingdom, France

Frequently Asked Questions

What tech stack does CloudFactory use?

Core ML: PyTorch, TensorFlow. Infrastructure: Kubernetes, AWS, SQL, Snowflake. Data: dbt for transformation. Frontend: React, TypeScript, JavaScript. Operational tools: NetSuite, Rippling, Payfit for HR/finance.

What is CloudFactory working on?

Projects span model improvement (champion/challenger evaluation, diagnostic accuracy), data infrastructure (metadata validation, annotation quality), internal operations (global payroll, treasury management), and healthcare use cases (biomedical metadata, medical labeling training).