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KnowDis AI Tech Stack

Generative AI search and recommendations for B2B ecommerce

IT Services and IT Consulting New Delhi, Delhi 11–50 employees Founded 2018 Privately Held

KnowDis builds generative AI search and recommendation products for ecommerce platforms, with a heavy infrastructure focus: the tech stack spans PyTorch, LangChain, Kubernetes, and multiple inference servers (Triton, vLLM, TensorFlow Serving), indicating a company solving for real-time, low-latency model serving at scale. Current projects cluster around multimodal search, ML infrastructure, and deployment pipelines—matching their stated pain points in high-availability workloads, distributed system latency, and production integration.

Tech Stack 14 technologies

Core StackPyTorch Langchain Kubernetes Terraform Docker AWS LangGraph Triton vLLM TensorFlow Serving Triton Inference Server TensorRT Azure GCP

What KnowDis AI Is Building

◆Challenges

Scaling high-availability ai workloads
Ensuring low-latency distributed systems
Implementing robust disaster recovery
Content generation
Information retrieval
Document understanding
Improving product discovery and conversion
Scalable infrastructure for ml models
Seamless production integration

▲Active Projects

Scaling multimodal search platform infrastructure
Kubernetes platform engineering
Ai model serving pipeline
Ai-powered search and recommendation products
Scalable ml infrastructure
Ci/cd pipeline for ml deployment
Ml model deployment and monitoring

Hiring Activity

Accelerating6 roles · 5 in 30d

Department

Engineering

3

Data

2

Product

1

Seniority

Mid

3

Director

1

Lead

1

Senior

1

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About KnowDis AI

KnowDis, founded in 2018 and based in New Delhi, develops generative AI solutions for B2B ecommerce search and product discovery. The product surfaces AI-powered search and recommendation capabilities on ecommerce platforms, powered by document understanding and information retrieval systems. The 11–50 person team is engineering and data-heavy, with active hiring across platform engineering, ML infrastructure, and product roles—all located in India.

HeadquartersNew Delhi, Delhi

Company Size11–50 employees

Founded2018

Hiring MarketsIndia

Frequently Asked Questions

What tech stack does KnowDis use?

PyTorch, LangChain, LangGraph, Kubernetes, Terraform, Triton, vLLM, TensorFlow Serving, TensorRT, Docker, and cloud platforms (AWS, Azure, GCP).

What is KnowDis working on?

Scaling multimodal search infrastructure, Kubernetes platform engineering, ML model serving pipelines, and AI-powered search and recommendation products for ecommerce.