Success Stories

Case Studies Real Projects. Real Results.

Explore how we approach real-world challenges across AI/ML, Generative AI and digital marketing — the problem, the solution, the technology and the result.

3Case studies published
16Live demo projects
0Demos run
2Client accounts
Our Case Studies

Real Business Problems, Real Solutions

Results are published only once they are measured and approved.

AI/ML · Computer Vision

Real-time passenger detection and counting

Problem: Count passengers automatically, in real time, on low-power hardware without cloud round-trips.

Solution: A YOLO-based detector exported to ONNX and optimised with TensorRT for edge inference.

YOLOOpenCVONNXTensorRT

Verified result to be added

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Generative AI · Agentic RAG

KakkiGPT — agentic RAG chatbot

Problem: Give users accurate conversational answers grounded in a document knowledge base instead of unguided model output.

Solution: An agentic retrieval-augmented chatbot that decides when to retrieve, then answers from the retrieved context.

FastAPILangGraphChromaDBGemini

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AI/ML · Time Series

Chana (chickpea) price forecasting

Problem: Commodity prices move unpredictably, making buying and selling decisions hard to time.

Solution: A time-series forecasting model trained on historical prices with engineered features and back-testing.

PythonLSTM/GRUFeature engineering

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  • ✓ Solve Real Business Problems
  • ✓ Tailored Solutions
  • ✓ Measurable Results
  • ✓ End-to-End Support
Our Approach

From Business Problem to Success Story

A structured and transparent process to deliver measurable results.

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01
Discovery

Goals, data and constraints.

02
Planning

Scope, milestones, estimate.

03
Design

Architecture and interfaces.

04
Development

Working software in stages.

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