Description
BLACKBOX AI describes itself as a high-trust platform for frontier inference: a way for engineering teams to call large language models at scale without giving up encryption or control over their data. It began as an AI coding assistant, and coding tools are still part of the product, but the platform's current framing centers on model access and secure inference rather than an IDE.
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The Blackbox Router connects a single OpenAI-compatible endpoint to more than 300 open and closed models, including models from providers like Moonshot AI, Z.ai, Alibaba, DeepSeek, and Tencent, each billed per million input, output, and cached tokens. The gateway enforces zero data retention and no training on routed traffic wherever the upstream provider's API allows it, and on Enterprise accounts Blackbox strips personally identifiable information before a prompt reaches a closed model. Enterprise Inference adds dedicated, single-tenant capacity for an open-weight model of a customer's choice, with no other customer sharing the instance. Blackbox says Artificial Analysis independently verified it as the fastest provider of Nemotron 3 Ultra, at 454 tokens per second, ahead of Nebius, CoreWeave, and Together AI in the same benchmark.
For coding workflows specifically, the Agents API lets a team send coding agents to any repository over HTTP to create runs, stream logs, and open pull requests, and a command-line agent reads a repository's own conventions to work inside it. Every request, whether through the router, a dedicated deployment, or the agent tooling, is encrypted end to end and draws down the same billing commitment.
Pricing is enterprise and contract-based: a customer commits an annual spend through a purchase order, and the rate per token improves as that commitment grows, with no separate platform fee, markup, or per-seat charge. Teams can also connect their own OpenAI, Anthropic, or Google accounts and route through those existing provider relationships while still using Blackbox's routing, failover, and caching. A forward-deployed engineer is included with an Enterprise contract to help with migration, integration, and tuning.
BLACKBOX AI TECHNOLOGIES INC. is based in San Francisco and lists a partnership with Microsoft Azure for enterprise deployments.
- CategoryMLOps & Model Deployment
- Pricing ModelFree to start
- DeploymentCloud
- PlatformsWeb
BLACKBOX AI's Core Features
Blackbox Router: one OpenAI-compatible endpoint across 300+ open and closed models
Enterprise Inference: dedicated, single-tenant capacity for a chosen open-weight model
End-to-end encryption and zero data retention enforced at the gateway
PII stripped before prompts reach closed models on Enterprise accounts
Agents API to run coding agents against a repository over HTTP, including opening pull requests
A command-line agentic terminal that reads a repository's existing conventions
Independently verified inference speed (Artificial Analysis, Nemotron 3 Ultra benchmark)
Ability to connect and route through a customer's own OpenAI, Anthropic, or Google accounts
Prompt caching and cost-aware routing across the model catalog
Microsoft Azure enterprise partnership
How to use BLACKBOX AI?
Talk to sales: scope your workload, required controls, and expected volume with Blackbox's team.
Get an API key: receive credentials once a committed-spend contract is in place.
Call the router: point your existing OpenAI-compatible client at the Blackbox endpoint and pick a model.
Set up dedicated capacity: request an Enterprise Inference deployment for an open-weight model if you need single-tenant isolation.
Wire up agents: use the Agents API or command-line agent to run coding tasks against a repository.
Monitor spend: track the committed balance in the dashboard as usage draws it down.
BLACKBOX AI's Use Cases
- Multi-model inference routing
- Dedicated model deployment
- Automated coding agents
- Regulated enterprise AI use
