Technology

Don't Trust.
Verify.

NEAR AI is architected to deliver verifiable, secure AI. Every claim we make about privacy isn't a promise — it's provable with cryptographic evidence.

Talk to a Solutions Engineer →

Overview

Private AI Inference, from Request to Response

We enable private AI inference with security you can verify — not just trust. Every inference request runs inside a Trusted Execution Environment (TEE), a hardware-encrypted area inside Intel and NVIDIA processors where your data and models stay encrypted and completely isolated from the cloud provider, the OS, and NEAR AI itself.

Each operation is attested in real time, generating cryptographic proof that your workloads were protected and unaltered. Think of it as a tamper-proof receipt: you can check it yourself to confirm exactly what happened to your data.

We support both open-source and closed-source models through a single API — with the privacy guarantees your data demands.

The foundation

Confidential Compute. From Edge to Inference.

Private. Intelligent. Yours.

01

Intel TDX Gateways

Handle incoming requests, encrypting data before it enters the processing pipeline. Intel Trust Domain Extensions create hardware-isolated virtual machines that protect data in use — at the CPU level.

Intel Trusted Domain Extensions →
02

NVIDIA Confidential Compute

Run the actual AI inference, keeping your data encrypted even during GPU processing. NVIDIA Confidential Computing extends hardware-level isolation to the GPU — where the heavy lifting happens.

NVIDIA Confidential Computing →

Why it matters

Inside a TEE, your data is encrypted in memory and completely inaccessible to the host system — including the cloud provider's operating system and any other application on the same server. Each operation inside the TEE can be verified through cryptographic attestation, creating proof that your workloads were protected and unaltered.

Even if someone gained full access to the server running your request, they couldn't read your data. The hardware won't allow it.

How it works

Follow a Request End to End

From your device to the AI model and back — encrypted and verified at every step.

01

Client Side

Encryption

Your data is encrypted on your device before it leaves. It travels via TLS 1.3 to NEAR AI Cloud — no one can intercept it in transit.

Encrypted request in transit →

02

NEAR AI Cloud

TEE Processing

  • Decryption — only inside the sealed hardware vault
  • AI Inference — model processes your request in full isolation
  • Encryption — response encrypted before leaving the TEE

← Encrypted response in transit

03

Client Side

Response + Proof

You receive the AI response and a cryptographic attestation — a tamper-proof certificate signed by Intel and NVIDIA hardware, proving your data was processed privately.

NVIDIA Hardware Certificate
Intel Hardware Certificate

Why it matters

Designed to Make Sensitive Data Usable

01

Go Live in Minutes, Not Months

Deploy private AI inference through a cloud-native API. No infrastructure to set up, no compliance reviews to wait for. Get your API key and start building.

02

The Right Model for Every Task

Access open-source or custom models through one interface. Switch between DeepSeek, GPT OSS, GLM-4.6, or Qwen3 with the same privacy guarantees.

03

Security Built Into the Silicon

Every inference runs inside hardware-isolated environments. The encryption happens at the processor level — physically impossible for anyone to access your data during processing.

04

Proof, Not Promises

Each request generates a cryptographic attestation confirming environment integrity in real time. You don't have to trust us — anyone can check the proof.

05

Privacy Without the Premium

Hardware-level isolation is built in — no additional security tools, encryption layers, or compliance middleware needed. Simplified architecture, lower costs at scale.

Research

The Science Behind the Security

Since 2018, the NEAR ecosystem has been a pioneer of technical innovation spanning blockchain and user-owned AI. These papers lay out the fundamentals for the technology that powers verifiable private inference — from cryptographic attestation protocols to TEE architecture design.

Read Our White Papers →

2018

Founded

TEE

CPU + GPU level

<30s

Attestation time

100%

Encrypted requests

Experience it yourself

See the Technology in Action

01

NEAR AI Cloud

Access Private AI Inference Now

One API, multiple models, hardware-encrypted privacy. Deploy in minutes.

Go to Cloud →
02

NEAR AI Private Chat

Chat Like No One Is Watching

Same AI models you trust, running inside hardware-encrypted enclaves. Your conversations stay yours.

Try Private Chat →

Ready to Build With Verified Private AI?

Talk to our engineering team about your use case, compliance requirements, and deployment architecture.

Contact Our Team →