64 Squares provides end‑to‑end large language model and generative‑AI services for enterprises, covering domain‑specific dataset creation, labeling, prompt engineering, and model fine‑tuning. It also offers LLM Ops and MLOps capabilities—including feature engineering, CI/CD pipelines, and continuous monitoring—delivered by dedicated AI‑certified engineers to deploy reliable, production‑grade AI applications across verticals such as telecom, healthcare, automotive, and education.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often struggle to integrate large language models (LLMs) and generative AI into existing workflows, facing challenges in model tuning, data preparation, prompt engineering, and operational reliability. Without specialized expertise, projects can incur high development costs, delayed time‑to‑market, and suboptimal model performance.
Solution
64 Squares offers a comprehensive suite of LLM and generative‑AI services that handle the full lifecycle from domain‑specific dataset creation to production‑grade operations. The company provides dedicated AI engineers and LLM experts who perform labeling, prompt engineering (including supervised fine‑tuning and reinforcement learning from human feedback), and model efficacy testing. Its LLM Ops and MLOps capabilities include feature engineering, CI/CD pipelines, and continuous monitoring to ensure models remain accurate and secure. By delivering ready‑to‑use AI‑powered business applications across sectors such as telecom, healthcare, automotive, and STEM education, 64 Squares enables organizations to accelerate AI adoption while maintaining control over data and performance.
Target Audience
Primary customers are mid‑size to large enterprises and technology teams in telecom, healthcare, automotive, and education sectors that require custom AI solutions and operational support for LLM deployment.
Features
- End‑to‑end domain dataset creation for specialized verticals (e.g., pharma, civil engineering, telecom)
- Prompt engineering and labeling services covering answer verification, multi‑turn code evaluation, dialog generation, and multilingual annotation of text, images, and video
- LLM Ops platform with model tuning, feature engineering, automated testing, QA, and CI/CD pipelines for reliable deployment
- Access to dedicated AI‑certified engineers and LLM specialists for custom solution design and implementation
- Pre‑built business applications that embed generative AI into workflows such as fraud detection, predictive maintenance, and adaptive learning systems