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GeoIQ Tech Stack

Location intelligence platform for retail site analysis and performance

Data Infrastructure and Analytics Bengaluru South, Karnataka 11–50 employees Founded 2018 Privately Held

GeoIQ builds a location intelligence platform that maps people, behaviors, and business potential for retail operators. The tech stack reveals a company in transition: PyTorch and TensorFlow anchor computer-vision and ML model work, while LangChain, LlamaIndex, and Haystack signal active RAG and agentic systems development. Active projects span same-store sales optimization, data pipeline automation, and customer-facing AI integration—reflecting a shift from analytics toward operational AI. Data-heavy hiring (6 data roles) outpaces engineering (4), suggesting the constraint is pipeline quality and feature engineering rather than product scale.

Tech Stack 48 technologies

Core StackPython PyTorch TensorFlow LangChain scikit-learn AWS Docker Kubernetes Tableau Power BI Kotlin Java Swift Jenkins React Native Flutter SQL Hugging Face Transformers GCP Azure LlamaIndex Haystack R Android iOS Objective-C Git Fastlane Bitrise Android SDK+14 more

What GeoIQ Is Building

◆Challenges

Improving store performance
Optimising decision-making processes
Efficient data ingestion
Manual processes
Manual process automation
Data workflow inefficiencies
Data governance and quality standards
New product development

▲Active Projects

Agentic and data-driven systems for same-store sales performance
Automate data pipelines for store metrics
Internal tools and dashboards for retail and operations
Retrieval-augmented generation pipelines
Ai model integration into products
Ai-driven solutions across llms, nlp, cv
Build rag pipelines
Integrate ai models into customer-facing products
Scaling multi-city rollouts
Data-driven roadmap

Hiring Activity

Steady15 roles · 4 in 30d

Department

Data

6

Engineering

4

Product

2

Sales

1

Seniority

Senior

4

Mid

3

Junior

2

Lead

2

Manager

1

VP

1

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About GeoIQ

GeoIQ operates a location intelligence platform for retail businesses, deployed across multiple cities in India. The product layers location-based insights—demographics, foot traffic patterns, competitor presence, expansion potential—onto maps as consumable inputs for site selection and performance analysis. The company is actively scaling multi-city deployments while building internal dashboards and automating store-metrics pipelines. Current engineering focus spans AI model integration (computer vision, NLP, LLMs), retrieval-augmented generation for location queries, and agentic systems that drive same-store sales performance decisions. Pain points center on data quality, manual process automation, and governance—areas where their data-focused hiring appears directed.

HeadquartersBengaluru South, Karnataka

Company Size11–50 employees

Founded2018

Hiring MarketsIndia

Frequently Asked Questions

What AI and ML frameworks does GeoIQ use?

PyTorch, TensorFlow, and Hugging Face Transformers for model work; LangChain, LlamaIndex, and Haystack for RAG and agentic systems; scikit-learn for traditional ML pipelines.