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Targeticon Digital Services Private Limited Tech Stack

AI and data engineering services for BFSI platforms

IT Services and IT Consulting Noida, Uttar Pradesh 201–500 employees Founded 2016 Privately Held

Targeticon builds backend systems and AI integrations for financial services companies. Their tech stack—Python, LangChain, RAG, FastAPI, TensorFlow, Kafka, Airflow—reflects a focus on ML pipelines and real-time data processing. Active projects center on BFSI platform backends and big-data AI integration, while documented pain points (scalable ETL, regulatory compliance) align with their service offerings.

Tech Stack 64 technologies

Core StackPython LangChain RAG FastAPI Flask Node.js Hugging Face AWS TensorFlow PyTorch OpenAI Apache Airflow Kafka Apache Spark Hadoop Docker Kubernetes JavaScript PostgreSQL MySQL MongoDB R LangGraph Transformers GCP Azure BERT SQL Django REST Framework Git+34 more

What Targeticon Digital Services Private Limited Is Building

◆Challenges

Scalable etl pipelines
Compliance with bfsi regulations

▲Active Projects

Backend of web platforms for bfsi
Integrate ai models and big data analytics into the platform

Hiring Activity

Minimal9 roles · 0 in 30d

Department

Engineering

4

Data

2

Product

1

Seniority

Mid

5

Senior

2

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About Targeticon Digital Services Private Limited

Targeticon is a Noida-based IT services and product development firm founded in 2016, operating at 201–500 headcount. The company serves mid-market and enterprise clients across BFSI, ecommerce, and custom software domains. Core offerings include AI/ML integration, blockchain solutions, CRM/ERP systems, mobile app development, and IT staff augmentation. Current engineering capacity is concentrated in India, with no active hiring velocity in the past 30 days.

HeadquartersNoida, Uttar Pradesh

Company Size201–500 employees

Founded2016

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does Targeticon use?

Python, Node.js, FastAPI, Flask, TensorFlow, PyTorch, LangChain, RAG, Kafka, Airflow, Kubernetes, AWS, GCP, Azure, PostgreSQL, MongoDB, Docker, Git.

What is Targeticon working on?

Backend systems for BFSI platforms and integration of AI models with big-data analytics pipelines. Current focus areas include scalable ETL and regulatory compliance for financial services.