AI research that builds the future

Perrin AI Research Lab (PAIR) conducts cutting-edge AI research and releases our breakthroughs as APIs for developers. From language models to computer vision - we turn research into reality.

50+
Research Papers
15+
AI Models
25+
Researchers
100K+
Citations

Build with our next generation AI systems

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PerrinGPT

Our most intelligent AI models

ProFlashNano
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NeuralVision

Advanced computer vision models

v3v3-Lite
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QuantumNet

Lightweight, state-of-the-art specialized models

BaseInstructCode
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CreativeAI

Generative models for creative applications

ImageVideoAudio
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API Status: All systems operational

Build with our API

Integrate cutting-edge AI models into your applications with our developer-first API. Scale from prototype to production with enterprise-grade infrastructure.

Simple Integration

Get started with just a few lines of code. RESTful API with comprehensive documentation.

import perrinai from 'perrin-ai';

const response = await perrinai.complete({
  model: 'perrin-gpt-4',
  prompt: 'Explain quantum computing',
  max_tokens: 100
});

Lightning Fast

Sub-100ms response times with global edge deployment and intelligent caching.

< 100ms
Average Response Time

Enterprise Ready

SOC 2 compliant with end-to-end encryption and 99.9% uptime SLA.

99.9%
Uptime Guarantee

Global Scale

Deployed across 15+ regions worldwide with automatic failover and load balancing.

15+
Global Regions

Ready to build with our API?

Get started with our powerful AI models. Free tier available with 10,000 API calls per month.

Our latest AI breakthroughs and updates from the lab

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Machine Learning

Advanced algorithms and neural architectures for intelligent decision-making and pattern recognition.

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Computer Vision

Cutting-edge visual perception systems for real-world applications and autonomous systems.

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Natural Language Processing

Revolutionary language models and conversational AI systems that understand and generate human language.

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Deep Learning

Novel neural network architectures and training methodologies for complex problem solving.

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Reinforcement Learning

Intelligent agents that learn optimal strategies through interaction with dynamic environments.

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AI Safety & Ethics

Ensuring responsible AI development with robust safety measures and ethical considerations.

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Publications

Our research contributions span across top-tier conferences and journals, advancing the state-of-the-art in artificial intelligence and machine learning.

2024NeurIPS 2024

Neural Architecture Search with Quantum-Inspired Optimization

Dr. Sarah Chen, Dr. James Park, Dr. Marcus Johnson

We present a novel approach to neural architecture search using quantum-inspired optimization techniques, achieving state-of-the-art results on ImageNet classification.

Neural Architecture SearchQuantum ComputingDeep Learning
2024Nature Machine Intelligence

Large Language Models for Scientific Discovery

Dr. Lisa Wang, Dr. Emily Zhang

This work explores the application of large language models in accelerating scientific discovery across multiple domains.

NLPScientific DiscoveryLarge Language Models
2024ICRA 2024

Safe Reinforcement Learning in Robotic Systems

Dr. Alex Rivera, Dr. Emily Zhang, Dr. Marcus Johnson

We propose a framework for safe reinforcement learning in robotic systems with formal safety guarantees.

RoboticsReinforcement LearningAI Safety
2024CVPR 2024

Multimodal Foundation Models for Computer Vision

Dr. Marcus Johnson, Dr. Lisa Wang

A comprehensive study on multimodal foundation models and their applications in computer vision tasks.

Computer VisionMultimodal LearningFoundation Models
2023AI Ethics Journal

Ethical AI: Principles and Practical Applications

Dr. Emily Zhang, Dr. Sarah Chen

An extensive review of ethical AI principles and their practical implementation in modern AI systems.

AI EthicsResponsible AIAI Governance
2023ICLR 2023

Federated Learning with Differential Privacy

Dr. James Park, Dr. Alex Rivera

Novel techniques for federated learning that preserve privacy while maintaining model performance.

Federated LearningPrivacyDistributed Systems

Building the future of AI

We're a team of researchers, engineers, and visionaries working to ensure artificial intelligence benefits everyone. Our mission is to develop safe, beneficial AI systems that amplify human capabilities and solve the world's most important problems.

Research Excellence

We pursue groundbreaking research that advances the fundamental understanding of artificial intelligence and its applications.

Responsible AI

Every system we develop is designed with safety, fairness, and ethical considerations at its core.

Open Collaboration

We believe in transparent research and actively collaborate with the global AI research community.

Real-World Impact

Our work focuses on creating AI systems that solve meaningful problems and benefit society.

Interested in collaboration?

We're always open to partnerships with fellow researchers, institutions, and organizations working toward responsible AI development.