Revolutionize Operating System

NEXA AI envisions a world where software interactions occur through natural human language. We aim to transform human-computer interaction from graphical user interfaces to natural language with accurate, fast, and affordable AI agents.

Value

NEXA AI invented functional tokens and Octopus models for AI agents. We provide more accurate AI agent solutions, 5x faster and 10x cheaper than OpenAI GPT-4 API, with latency around 0.3s. NEXA AI solves the problems of excessive navigation and steep learning of current software. We support both on-cloud and on-device model deployment.

Octopus Demo

What they're saying

Rowan Cheung
Rundown AI, Founder

“a groundbreaking new framework for on-device AI agents. The new era of on-device AI agents is coming.”

Omar Sanseviero
Hugging face, CLO

“Extremely fast, better than Llama+RAG, great results”

AK
Gradio, ML

“These models possess the crucial ability to call functions, which is essential in creating”

Philipp Schmid
Hugging face, Tech lead & LLMs

“Interesting idea to incorporate the functions into the model with fine-tuning to get reliable generation from small LLMs.”

Aran Komatsuzaki
Teraflop AI, Founder

“For all things tech, Techware is my ultimate destination. Quality, range, and service—impeccable.”

Brett Adcock
Figure AI, Founder

“With just 100 training samples, the model achieved 98% accuracy in selecting the right function, surpassing GPT-4.”

Shane Zammit
Radio Workflow, Founder

“Striking a balance between high accuracy and low latency, it's a game-changer in on-device AI performance.”

Vijay Morampudi
Veltris, Head of AI

“Octopus v2 marks a significant leap towards sustainable, accessible, and user-friendly AI applications, addressing concerns around privacy, cost, latency.”

George Z. Lin
BrandGuard AI, Head of AI

“Octopus v2's impacts could be significant.”

Vladimir Dyachkov Ph.D.
goTRG, Ex-CTO

“Octopus v2 marks a significant leap forward in on-device language modeling,  addressing key challenges in on-device AI performance.”

Rafael V. Pierre
Hugging face, ML

“This approach significantly enhances its inference speed beyond that of RAG-based methods, making it especially beneficial for edge computing devices.”

Amit Kumar Nayak
Prodapt, Sr. Director SDE

“From optimizing network infrastructure to streamlining customer service operations, the possibilities are endless.”

Axel Darmouni
Centrale Supélec, Data Scientist

“With the advances we are doing as well in model specialization, there’s no doubt that this approach is the beginning of something big.”

Turing Post
Newsletter exploring AI & ML

“As we can see from the research it can really overcome these limitations of other LLMs!”

The Best AI
AI News Twitter Account

“Nexa AI is making an indelible mark in AI's dynamic landscape every day, and Octopus v4 is a testament to that.”

Thivyaa Mohan
HSBC, Data Scientist

“Say goodbye to app overload!  Meet Octopus V4, the AI that’s like having a super-powered all-in-one app.”

Analytics Vidhya
India's Largest DS Community

“This research marks a significant leap forward in the utilization of language models, presenting a robust framework with multiple specialized language models into a cohesive, graph-based system.”

Anshuman Jha
Aon, Data Science Manager

“The dominance of proprietary, resource-intensive language models like GPT-4 is being challenged by the rise of powerful open-source alternatives..”

Tom Zschach
SWIFT, CIO

“a groundbreaking new framework for on-device AI agents.”

Julien Chaumond
Hugging Face, CTO
Fredy Del Vecchio
Birdiefy AI, ex CPO& Cofounder

“A monumental leap in function calling efficiency on devices, making real-world applications faster and smarter than ever imagined.”

Raphaël MANSUY
ELITIZON Ltd, CTO

“Octopus v2 represents a major leap towards making powerful AI accessible to everyone.”

Blake Tindol
Stryker, Data Scientist

“Octopus v2 showcases the potential to revolutionize how we interact with technology, emphasizing efficiency and privacy.”

Manoj Kumar
OPPO, Leading Edge AI Team

“A Novel method enabling on-device models with 2 billion parameters to outperform GPT-4 in accuracy and latency, reducing context length by 95%.”

Scott Macon
Bright Fox AI, CEO & Founder

“This innovative on-device language model ... specifically designed to overcome the limitations of large, cloud-based models.”

Altaf Rehmani
HSBC, Digital Solution Architect

“This is amazing and will pave the path for agents on edge devices.”

Jon Salisbury
Nexigen, CEO

“I envisioned this last year and it’s happening. Super interesting. So fast.”

Andrew Burak
Relevant Software, CEO & Founder

“This framework advances beyond GPT-4 in terms of accuracy by refining language models through the use of unique functional tokens.”

Winson Li
Agilizing Ltd Faculty Head of SDE

“Octopus v2 is not just another AI—it's a leap into the future of on-device intelligence.”

Theis P.
Founder, In10x

“The groundbreaking Octopus v2 model paves the way for efficient, on-device AI functionality without compromising privacy.”

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