# Rithink

**Source:** https://www.startuphub.ai/startups/rithink
**Profile type:** Startup

> Rithink provides strategic consulting and performance engineering for 'big and fast' data solutions, specializing in HPC, machine learning, storage, and databases.

## About

Rithink offers strategic consulting and performance engineering services for complex data challenges. Their expertise spans high-performance computing (HPC) applications, machine learning, scalable file and object stores, and advanced database and analytics platforms. They focus on enhancing 'big and fast' data solutions for businesses.

## Key facts

- **Slug:** rithink
- **Website:** https://rithink.io
- **Founded:** 2026-07-20
- **Operating status:** Active
- **Sectors / tags:** Strategic Consulting, Performance Engineering, High-Performance Computing, Machine Learning, Big Data, Data Analytics, Database, Cloud Data Warehouse, NoSQL, GraphDB, GPU Databases, Storage Architecture, NVMe, NVMf, NVDIMM
- **Social:**
  - GitHub: https://github.com/clauseggers

## Frequently asked

### What does Rithink do?

Rithink offers strategic consulting and performance engineering services for complex data challenges. Their expertise spans high-performance computing (HPC) applications, machine learning, scalable file and object stores, and advanced database and analytics platforms. They focus on enhancing 'big and fast' data solutions for businesses.

### What is Rithink's Effective Domain Rating?

StartupHub's Effective Domain Rating for Rithink is 3 out of 100, measuring real cross-surface visibility in search engines and AI answers rather than claimed link authority. That is fairly rated against its Ahrefs Domain Rating of 0.

### Is Rithink trustworthy and reputable?

StartupHub's Data Trust & Reputation score for Rithink is 86 out of 100, based on site security posture and privacy practices.

### When was Rithink founded?

Rithink was founded in 2026.

### What industry does Rithink operate in?

Rithink operates in Strategic Consulting, Performance Engineering, High-Performance Computing, Machine Learning, Big Data, Data Analytics.

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