NLPatent Tech Stack

AI-powered patent search and intelligence platform for legal and R&D teams

Software Development Toronto, Ontario 11–50 employees Founded 2021 Privately Held

NLPatent builds domain-trained LLM infrastructure for patent research, combining TensorFlow + PyTorch + Elasticsearch for semantic search with React/Next.js frontends. The product roadmap is heavily weighted toward automation—agentic workflows, BDR program buildout, and search optimization dominate active projects—while the hiring mix (engineering-heavy, mid-to-staff level) and scaling pain points (performance, human-in-the-loop reduction) suggest the company is moving from feature-complete product to operational efficiency and revenue scaling.

Tech Stack 26 technologies

Core StackPython TensorFlow PyTorch Elasticsearch AWS Django Docker React TypeScript Next.js Jest Redux Datadog Cypress Playwright GitHub Actions PostgreSQL OpenSearch Git HTML CSS TanStack Query React Testing Library Vitest REST API Zustand

What NLPatent Is Building

◆Challenges

Building bdr program from scratch
Expanding go-to-market team
Improving search performance
Reducing human intervention
Search performance optimization
Search algorithm optimization
Scaling platform

▲Active Projects

Next generation patent research tooling
Data pipeline maintenance
Build bdr program from ground up
Scalable outbound processes
Agentic workflow development
Search performance optimization
Search performance improvement
Agentic workflow design
Scaling platform core features
Core features and foundations to scale out the platform

Hiring Activity

Accelerating7 roles · 4 in 30d

Department

Engineering

Product

Data

Sales

Seniority

Mid

Staff

Junior

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About NLPatent

NLPatent is a legal-tech platform that uses proprietary large language models to transform patent research workflows. The platform spans search (plain-English queries with explainable results), monitoring (real-time filing tracking by semantic relevance), and visualization (AI-generated topic clustering of patent landscapes). Founded in 2021 and based in Toronto, the company serves Fortune 500 companies, Am Law 100 firms, and research universities. The stack reflects deep ML investment (TensorFlow, PyTorch) alongside modern web infrastructure (Next.js, React, PostgreSQL), with deployment on AWS. Sales and go-to-market expansion are underway, alongside foundational platform scaling work.

HeadquartersToronto, Ontario

Company Size11–50 employees

Founded2021

Hiring MarketsUnited Kingdom, Canada

Frequently Asked Questions

What tech stack does NLPatent use?

Python, TensorFlow, PyTorch, Elasticsearch, PostgreSQL, AWS, Django, Docker, React, Next.js, TypeScript, and Datadog for monitoring. The stack emphasizes ML infrastructure (TensorFlow/PyTorch) and search indexing (Elasticsearch) paired with modern full-stack web tooling.

What is NLPatent working on?

Next-generation search tooling, agentic workflow development, search performance optimization, and go-to-market scaling—including a new BDR program. The roadmap reflects a shift from feature development toward automation and platform efficiency.