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Quadratyx Tech Stack

AI and data science consulting for enterprise analytics and LLM systems

IT Services and IT Consulting Hyderabad, Telangana 51–200 employees Founded 2014 Privately Held

Quadratyx is a data science and AI consulting firm built around Python, Java, and cloud infrastructure (AWS, Azure, GCP), with recent adoption of RAG and LangChain/LangGraph signaling a shift toward generative AI and agentic systems. Active projects span MLOps lifecycle, recommendation engines, and payment processing — workloads that require both classical ML rigor and modern LLM orchestration. Leadership hiring gaps paired with steady senior-level demand suggest the company is scaling delivery capacity for complex, hands-on client engagements rather than building product.

Tech Stack 24 technologies

AdoptingRAG

What Quadratyx Is Building

Challenges

  • Scalable financial solutions
  • Business transformation

Active Projects

  • Recommendation systems and nlp projects
  • Scalable etl pipelines
  • Mlops lifecycle implementation
  • Scalable etl design
  • Ml/nlp recommender model development
  • Generative ai & llm systems
  • Agentic ai & orchestration
  • Retrieval augmented generation (rag)
  • Card and upi stack solutions
  • Payment processing systems

Hiring Activity

Steady7 roles · 2 in 30d

Department

Support
4
Data
3

Seniority

Senior
6
Lead
1
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About Quadratyx

Quadratyx, founded in 2014 and headquartered in Hyderabad, is an AI consulting and data science firm serving mid-to-large enterprises globally. The company specializes in data lake architecture, predictive analytics, NLP, and advanced analytics implementations, with hands-on delivery from data scientists and engineers. Current hiring focuses on senior technical support and data roles in India, reflecting steady growth in client-facing delivery. Service offerings span big data infrastructure, MLOps, generative AI roadmaps, and custom training.

HeadquartersHyderabad, Telangana
Company Size51–200 employees
Founded2014
Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Quadratyx use?

Python, Java, SQL, Pandas, NumPy, TensorFlow, PyTorch, Apache Spark, Kafka, Docker, Kubernetes, MLflow, AWS, Azure, GCP. Recently adopted LangChain, LangGraph, and RAG.

What is Quadratyx working on?

MLOps lifecycle, scalable ETL pipelines, recommendation and NLP systems, generative AI and LLM implementations, retrieval-augmented generation (RAG), and agentic AI orchestration.

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