Blackbox AI

Overview

Blackbox AI is a high-trust inference platform built for organizations that need secure, high-performance access to frontier AI models. The company, Blackbox AI Technologies Inc., provides a unified platform that combines enterprise-grade security with independently verified speed. Unlike shared or public inference offerings, Blackbox delivers end-to-end encrypted inference for every model, with zero data retention and enforced training opt-outs, making it a strong choice for teams that treat prompts as proprietary data.

At the core of the platform are two complementary products. Enterprise Inference deploys the open-weight model of your choice on reserved, single-tenant GPU capacity — no shared pools, no other customers on the instance, and complete isolation. The Blackbox Router offers one OpenAI-compatible endpoint to more than 300 open and closed models, with intelligent routing, prompt caching, and cost-aware load balancing. The gateway enforces zero data retention and no training wherever the upstream provider API supports it. On Enterprise, PII is stripped before prompts reach closed models. These capabilities are backed by third-party verification: Artificial Analysis independently measured Blackbox as the #1 Nemotron 3 Ultra provider at 454 tokens per second, 30% faster than the second-place provider and at 2.7× lower cost.

For developers, Blackbox provides an agents-first toolchain. The Agents API lets you send coding agents to any repository over HTTP, create runs, stream logs, and open pull requests. The command-line interface is an agentic terminal that reads the conventions of your repository, while the VS Code extension brings the same capabilities into the editor. All surfaces share a single per-token commitment, so one account-level contract covers the entire organization. The platform is also OpenAI-compatible: developers can change their base URL to the Blackbox endpoint and keep their existing code, SDKs, and tooling.

Blackbox AI is designed for teams that deploy AI at scale. It supports a broad model catalog including NVIDIA Nemotron 3 Ultra, Qwen, Kimi, GLM, MiniMax, and others, and is available through a Microsoft Azure partnership for seamless enterprise deployment. With dedicated deployments, verified speed, and a security model that prioritizes privacy, Blackbox provides a lower-cost alternative to closed labs without compromising on control. Whether you need isolated capacity for sensitive workloads or a single gateway for hundreds of models, Blackbox positions itself as the high-trust inference layer for modern AI infrastructure.

Core capabilities

Enterprise Inference

Dedicated, single-tenant deployment of your chosen open-weight model on reserved GPU capacity with no shared pools and no other customers on the instance.

Blackbox Router

One OpenAI-compatible endpoint that routes to 300+ hosted open and closed models, with zero data retention and no training enforced at the gateway.

End-to-End Encryption

Every prompt is encrypted across the full connection path, and Blackbox retains zero data.

PII Stripping

On Enterprise, personally identifiable information is removed before prompts reach closed models to reduce exposure.

Verified Speed

Independently measured by Artificial Analysis as the #1 Nemotron 3 Ultra provider at 454 tokens per second.

Cost Efficiency

2.7× lower cost than the #2 provider while delivering 30% faster inference performance.

Agents API

Send coding agents to any repository over HTTP to create runs, stream logs, and open pull requests.

Command Line & VS Code

An agentic terminal that reads repository conventions, plus a VS Code extension for in-editor automation.

Training Opt-Out by Default

Training opt-out is enabled by default and enforced with upstream providers wherever the API supports it.

Use cases

Running open-weight LLMs on dedicated, single-tenant infrastructure for regulated industries

Routing production traffic across 300+ models with one API key, one bill, and one dashboard

Building coding agents that autonomously operate across repositories via the Agents API

Using an agentic terminal and VS Code extension for repository-aware software development

Deploying sensitive workloads with end-to-end encryption and zero data retention

Optimizing inference speed and cost for high-throughput AI applications

Migrating existing OpenAI-based integrations by changing only the base URL