
Project Overview
A visual customer support automation workflow builder powered by fine-tuned on-device models, LLM pipelines, and secure API integration interfaces.
Key Features Engineered
Drag-and-Drop Canvas
Interactive node-based builder allowing teams to wire up support triggers, action hooks, and AI model inputs.
Local Model Execution
On-device inference options using light, quantized models for extreme data privacy and offline compliance.
Multi-Model Router
Dynamic router switching tasks between local models and heavy API models based on cost and accuracy metrics.
The Challenge
High latency and API costs associated with sending every support query to large commercial models.
Our Engineering Solution
We engineered a lightweight semantic router running local embeddings that catches 80% of routine questions, routing only complex/high-value support cases to external LLMs.
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