Biz-Tech Analytics

AI Enablement Services & Solutions — From Data to Deployment Specialized Data • Expert Teams • Operational Intelligence

Joined July 10, 2025 • Updated 1 month, 2 weeks ago

Company Details

Industry: It Services And It Consulting

Company Size: 11-50 employees

Founded: 2021

Open Positions

About

Biz-Tech Analytics - Your Partner for Building & Applying AI at Scale

Whether you’re an enterprise building next-gen AI models, an MLOps platform serving major AI labs, or an industrial business enhancing productivity, Biz-Tech Analytics powers your AI journey from data to deployment.

Fueling AI Success with Expert Data Services:
We offer specialized, human-in-the-loop annotation, RLHF, and dataset creation, leveraging our network of 500+ vetted developers, STEM professionals, linguists, and medical experts. Recently, our teams evaluated and enhanced complex AI models for top global platforms, delivering precision feedback at scale.

Accelerating Operational Intelligence:
From manufacturing productivity and automated quality control to AI copilots and agents for healthcare and retail, our applied AI solutions streamline operations, cut costs, and unlock measurable business outcomes. Our solutions have transformed shop floors, QSR customer interactions, and patient engagement workflows.

AI Consulting & Advisory:
We take a consultative approach—understanding your needs deeply, crafting tailored AI strategies, and rapidly deploying scalable solutions that adapt as your business grows.

Industries We Serve:
• Manufacturing & Supply Chain (Operational Intelligence & Productivity Solutions)
• Healthcare (AI Copilots for Patient Engagement)
• Retail & QSR (AI-driven Customer Experience & Automation)
• AI Platform Providers & Enterprise AI Labs (Expert Data Annotation, RLHF & Model Evaluation)

Why Biz-Tech Analytics?
• Deep AI Expertise: End-to-end AI services from data to deployment.
• Specialized Workforce: Expert annotators, developers, and domain specialists with proven project experience.
• Trusted by Industry Leaders: 100+ successfully completed projects globally across enterprises, scale-ups, and leading AI labs.
• Commitment to Responsible AI: Ethical data handling, fairness, transparency, and accountability built into every project.