percipient.ai Tech Stack

AI analytics platform for intelligence and national security missions

Software Development Santa Clara, California 51–200 employees Founded 2017 Privately Held

Percipient.ai builds AI analytics products for defense and intelligence agencies. The tech stack—React, TypeScript, Python, PyTorch, TensorFlow, Docker, Kubernetes—points to a frontend-heavy, compute-intensive architecture handling complex ML inference. Active projects cluster around a product called Mirage: frontend performance optimization, automated deployment, and self-healing infrastructure suggest engineering effort is locked on reliability and latency rather than new feature velocity.

Tech Stack 16 technologies

Core StackReact TypeScript Redux Python C++ Linux PyTorch TensorFlow Docker AWS Kubernetes Ansible Terraform CloudFormation Bash Perl

What percipient.ai Is Building

◆Challenges

Performance bottlenecks
Data-intensive user interfaces
Ensuring deployment pipeline reliability
Customers face computer vision problems

▲Active Projects

Mirage frontend development
Performance optimization of mirage frontend
Automated deployment pipeline
Proactive monitoring and alerting system
Self-healing system

Hiring Activity

Minimal5 roles · 0 in 30d

Department

Engineering

Seniority

Senior

Staff

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About percipient.ai

Founded in 2017 and based in Santa Clara, Percipient.ai delivers artificial intelligence and advanced analytics solutions to U.S. government and national security customers. The company focuses on computer vision and data-intensive analytics problems in classified and sensitive domains. Engineering is the primary hiring focus, concentrated at senior and staff levels, reflecting a mature, specialized organization. The tech stack spans frontend (React, TypeScript), compute (PyTorch, TensorFlow), and infrastructure (Kubernetes, AWS, Terraform), typical of mission-critical analytics platforms.

HeadquartersSanta Clara, California

Company Size51–200 employees

Founded2017

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Percipient.ai use?

React, TypeScript, Python, PyTorch, TensorFlow, Docker, Kubernetes, AWS, Terraform, CloudFormation, C++, Linux, and Ansible.

What is Percipient.ai working on?

Active projects include Mirage frontend development, performance optimization, automated deployment pipeline, proactive monitoring and alerting, and self-healing infrastructure.