Anodized Aluminum Frame

Lightweight and strong with a sleek finish.

Stainless Steel

Reinforced hinges for smooth, durable adjustment.

Leather Ear Cushions

Soft, breathable, and made for all-day comfort.

a black wireless headphone

Anodized Aluminum Frame

Lightweight and strong with a sleek finish.

Stainless Steel

Reinforced hinges for smooth, durable adjustment.

Leather Ear Cushions

Soft, breathable, and made for all-day comfort.

a black wireless headphone

Anodized Aluminum Frame

Lightweight and strong with a sleek finish.

Stainless Steel

Reinforced hinges for smooth, durable adjustment.

Leather Ear Cushions

Soft, breathable, and made for all-day comfort.

a black wireless headphone

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Navis

Experience the latest and greatest technology for the blind.

Experience the latest and greatest technology for the blind.

Precision.
Precision.
Power.
Power.
Purity.
Purity.
Precision.
Precision.
Power.
Power.
Purity.
Purity.
Precision.
Precision.
Power.
Power.
Purity.
Purity.
Precision.
Precision.
Power.
Power.
Purity.
Purity.

·

Limited Quantities Available

·

Limited Quantities Available

·

Limited Quantities Available

Meet Navis
Meet Navis
Meet Navis
Best in-class technology using Reinforcement Learning, Semantic Reasoning, and CNNs. Oh, and we're the cheapest.
Best in-class technology using Reinforcement Learning, Semantic Reasoning, and CNNs. Oh, and we're the cheapest.
Best in-class technology using Reinforcement Learning, Semantic Reasoning, and CNNs. Oh, and we're the cheapest.
a black man wearing a headphone, side view
Features.
Features.
Features.

Every Obstacle. Every Path. For Every Human

Hours of Machine Learning Training Power Each Action.

Every Obstacle. Every Path. For Every Human

Hours of Machine Learning Training Power Each Action.

Every Obstacle. Every Path. For Every Human

Hours of Machine Learning Training Power Each Action.

High Torque

High Torque

BLDC Motors

Noise Cancellation

a part of the black headphone
a part of the black headphone
Everything Local — No Cloud
an iPhone
Everything Local — No Cloud
an iPhone
Everything Local — No Cloud
an iPhone
40k+ Lines of Code
a part of the headphone with battery signal icon
40k+ Lines of Code
a part of the headphone with battery signal icon
40k+ Lines of Code
a part of the headphone with battery signal icon

Off The Shelf Hardware

Removes The Need For Specialized Equipment

a black woman wearing the white wireless headphone

Off The Shelf Hardware

Removes The Need For Specialized Equipment

a black woman wearing the white wireless headphone
Off The Shelf Hardware

Removes The Need For Specialized Equipment

a black woman wearing the white wireless headphone
Choose Your Product
Choose Your Product
Choose Your Product

All Powered With Our Technology

All Powered With Our Technology

All Powered With Our Technology

a black wireless headphone

Chest Strap

a black wireless headphone

Chest Strap

a black wireless headphone

Chest Strap

Software Specifications
Software Specifications
Software Specifications

Designed to Perform

All the software that make Navis exceptional.

Designed to Perform

All the software that make Navis exceptional.

Designed to Perform

All the software that make Navis exceptional.

Feature

Specification

Reinforcmeent Learning Pathfinding Agent

CNN-based PPO with spatial-temporal understanding. It includes an enhanced CNN architecture with 3-channel input processing. It utilizes Partial Observability Handling which obscures vision to 7x7 patches, making our software scale independent to environment size. We use a Continuous Action Space via Gaussian policy for smooth navigation. Distance-based reward shaping as well.

Safety Agent (RGB-D CNN)

Dual-modal safety score prediction with ensemble learning ResNet18 backbone with BatchNorm + Dropout regularization Weighted ensemble architecture using 66.7% RGB and 33.3% Depth based on individual performance Metrics: RGB Model: MAE 0.0718, R2 0.8960 Depth Model: MAE 0.1435, R2 0.6621 Ensemble: MAE 0.0882, R2 0.8738

Semantic Reasoning Agent

Context-aware intent understanding with activity mapping Intent Classification: 6 query types: ActivityCheck, ObjectSearch, Navigation, SafetyCheckScene, Description, General Semantic Scene graphs: Network-X based relationship modeling with 8 spatial relations Temporal tracking utilizes 5 frame history with movement detection Uses Llama 3.2 4-bit quantized inference with MLX optimization

Agentic Exploration Robot

Fully autonomous robot to discover new spaces and avoid obstacles Features a fully hand-built Brushless Direct Current Motor with a 1:3 gear ratio for high torque output ESP32 with WIFI module allows for fully autonomous driving Custom 360° spinning LiDAR maps out the environment

Reinforcmeent Learning Pathfinding Agent

CNN-based PPO with spatial-temporal understanding. It includes an enhanced CNN architecture with 3-channel input processing. It utilizes Partial Observability Handling which obscures vision to 7x7 patches, making our software scale independent to environment size. We use a Continuous Action Space via Gaussian policy for smooth navigation. Distance-based reward shaping as well.

Safety Agent (RGB-D CNN)

Dual-modal safety score prediction with ensemble learning ResNet18 backbone with BatchNorm + Dropout regularization Weighted ensemble architecture using 66.7% RGB and 33.3% Depth based on individual performance Metrics: RGB Model: MAE 0.0718, R2 0.8960 Depth Model: MAE 0.1435, R2 0.6621 Ensemble: MAE 0.0882, R2 0.8738

Semantic Reasoning Agent

Context-aware intent understanding with activity mapping Intent Classification: 6 query types: ActivityCheck, ObjectSearch, Navigation, SafetyCheckScene, Description, General Semantic Scene graphs: Network-X based relationship modeling with 8 spatial relations Temporal tracking utilizes 5 frame history with movement detection Uses Llama 3.2 4-bit quantized inference with MLX optimization

Agentic Exploration Robot

Fully autonomous robot to discover new spaces and avoid obstacles Features a fully hand-built Brushless Direct Current Motor with a 1:3 gear ratio for high torque output ESP32 with WIFI module allows for fully autonomous driving Custom 360° spinning LiDAR maps out the environment

Reinforcmeent Learning Pathfinding Agent

CNN-based PPO with spatial-temporal understanding. It includes an enhanced CNN architecture with 3-channel input processing. It utilizes Partial Observability Handling which obscures vision to 7x7 patches, making our software scale independent to environment size. We use a Continuous Action Space via Gaussian policy for smooth navigation. Distance-based reward shaping as well.

Safety Agent (RGB-D CNN)

Dual-modal safety score prediction with ensemble learning ResNet18 backbone with BatchNorm + Dropout regularization Weighted ensemble architecture using 66.7% RGB and 33.3% Depth based on individual performance Metrics: RGB Model: MAE 0.0718, R2 0.8960 Depth Model: MAE 0.1435, R2 0.6621 Ensemble: MAE 0.0882, R2 0.8738

Semantic Reasoning Agent

Context-aware intent understanding with activity mapping Intent Classification: 6 query types: ActivityCheck, ObjectSearch, Navigation, SafetyCheckScene, Description, General Semantic Scene graphs: Network-X based relationship modeling with 8 spatial relations Temporal tracking utilizes 5 frame history with movement detection Uses Llama 3.2 4-bit quantized inference with MLX optimization

Agentic Exploration Robot

Fully autonomous robot to discover new spaces and avoid obstacles Features a fully hand-built Brushless Direct Current Motor with a 1:3 gear ratio for high torque output ESP32 with WIFI module allows for fully autonomous driving Custom 360° spinning LiDAR maps out the environment

Powered by
Powered by
Powered by

Navis Agentic Engine

Dual Level Planning With Semantic Reasoning For High Intelligence Navigation

Navis Agentic Engine

Dual Level Planning With Semantic Reasoning For High Intelligence Navigation

Navis Agentic Engine

Dual Level Planning With Semantic Reasoning For High Intelligence Navigation

Fully Local — No APIs

Uses Llama 3.1 1B with self criticism to achieve GPT-5 mini performance while being performant on any device

Fully Local — No APIs

Uses Llama 3.1 1B with self criticism to achieve GPT-5 mini performance while being performant on any device

Fully Local — No APIs

Uses Llama 3.1 1B with self criticism to achieve GPT-5 mini performance while being performant on any device

0% Safety Collision Rate

0% Collision rate tested on 300 real-world scenarios

0% Safety Collision Rate

0% Collision rate tested on 300 real-world scenarios

0% Safety Collision Rate

0% Collision rate tested on 300 real-world scenarios

Continuous Reasoning

Live reasoning with goal tracking & step completion

Continuous Reasoning

Live reasoning with goal tracking & step completion

Continuous Reasoning

Live reasoning with goal tracking & step completion

Testimonials
Testimonials
Testimonials

Loved by Individuals, Researchers, and Enterprises

Trusted by those who use it most.

Loved by Individuals, Researchers, and Enterprises

Trusted by those who use it most.

Loved by Individuals, Researchers, and Enterprises

Trusted by those who use it most.

Pricing

Pre-Order Navis System

Reserve yours today — limited early-bird pricing.

$299

$349

Launch Offer (Save $50)

Travel Case

USB-C Charger

2-Year Warranty

Free Worldwide Shipping

Pricing

Pre-Order Navis System

Reserve yours today — limited early-bird pricing.

$299

$349

Launch Offer (Save $50)

Travel Case

USB-C Charger

2-Year Warranty

Free Worldwide Shipping

Pricing

Pre-Order Navis System

Reserve yours today — limited early-bird pricing.

$299

$349

Launch Offer (Save $50)

Travel Case

USB-C Charger

2-Year Warranty

Free Worldwide Shipping

FAQ
FAQ
FAQ

Got Questions? We’ve Got Answers.

Got Questions? We’ve Got Answers.

Got Questions? We’ve Got Answers.

Who's the team behind this?

Who is this for?

Do you have to buy the entire set of hardware?

What's the battery life?

Why is Navis better than other solutions?

Who's the team behind this?

Who is this for?

Do you have to buy the entire set of hardware?

What's the battery life?

Why is Navis better than other solutions?

Who's the team behind this?

Who is this for?

Do you have to buy the entire set of hardware?

What's the battery life?

Why is Navis better than other solutions?

Stay Tuned for Stage 2

We're on a mission.

Stay Tuned for Stage 2

We're on a mission.

Stay Tuned for Stage 2

We're on a mission.