Blackbox.AI

Blackbox.AI

Blackbox.AI is a secure AI inference platform that runs 300+ open and closed models through one end-to-end encrypted endpoint, built for enterprises that need private, fast model access.

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AI APIlarge-language-models-llmsSAASAI Agent
Last Updated Nov 10, 2026
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About

Blackbox.AI is an enterprise inference platform that provides secure access to large language models. The service addresses a specific concern for organizations using AI: prompts and responses passing through third-party infrastructure in readable form. Blackbox.AI encrypts prompts on the client side before they travel over the network and decrypts them only where the model executes, so neither the proxy, the host, nor the operator can read the traffic.

The platform offers two delivery modes. Customers can choose a specific open-weight model and run it as a dedicated single-tenant deployment, or they can route requests across a catalog of more than 300 models through a single API endpoint. Billing is metered per token rather than per seat, with published per-model rates for input, output, and cached reads. Enterprise plans add dedicated infrastructure, customer-managed keys, and custom contracts.

Key Features

End-to-end encrypted inference: Prompts are sealed on the client before transmission and unsealed only at the point of model execution, and zero data retention means nothing is stored after a response is delivered.
300+ models through one endpoint: A single API gives access to a broad catalog of text models with different context windows and price points, billed on one invoice.
Dedicated deployments: Enterprises can run a chosen open-weight model on isolated single-tenant infrastructure, with data residency options.
Smart routing, failover, and caching: Requests are routed intelligently across providers, with failover and prompt caching that the vendor says extends a committed token balance by 10–20%.
Agents API and Remote Agent runners: Cloud coding agents and cloud sandbox runners are available, with dedicated runners under SSO on enterprise plans.
Enterprise controls: SAML SSO, SCIM, RBAC, audit logs, contractual zero data retention with a DPA, and PII removal before prompts reach closed models.
Forward-deployed engineering: Enterprise customers get a dedicated engineer, with implementation included at no charge.

Pricing & Fees

  • Pricing: Metered per token with published list rates per 1M tokens (input, output, and cache reads billed separately); examples from the published rate table include deepseek-v4.1-flash at $0.07 input / $0.30 output per 1M tokens and kimi-k3 at $3.00 / $15.00. Enterprise plans are custom, built on annual committed spend with purchase-order burn-down and volume discounts; the vendor states there are no platform fees, markups, or seats.
  • Commit structure: Customers commit annual spend through a purchase order; the balance decreases as teams consume tokens and is visible in a dashboard.
  • Deployment options: Cloud API access plus dedicated single-tenant deployment with data residency on the Enterprise tier.

Who It's For

Blackbox.AI targets engineering and AI platform teams at organizations where data privacy, compliance, and predictable infrastructure costs matter. Typical users include platform engineers consolidating model access behind one endpoint, security-conscious enterprises that cannot allow prompts to be readable in transit or retained, and teams building coding agents that need cloud sandboxes and runners. It also suits CTOs and infrastructure leads comparing per-token economics across many models without managing multiple vendor accounts.

FAQ

What is Blackbox.AI?Blackbox.AI is an enterprise AI inference platform that runs more than 300 models through one end-to-end encrypted endpoint, or deploys a chosen open-weight model as a dedicated single-tenant installation.

How much does Blackbox.AI cost?Pricing is usage-based, metered per token at published per-model rates (for example, $0.07 per 1M input tokens for deepseek-v4.1-flash), with custom enterprise contracts based on annual committed spend; there are no seat fees according to the vendor.

How does Blackbox.AI keep data private?Prompts are encrypted before leaving the client machine and decrypted only where the model runs, the platform applies zero data retention, and it removes PII before prompts reach closed models where supported.

Which deployment and access options are available?Blackbox.AI offers a cloud API, a CLI, an Agents API for cloud coding agents, and dedicated single-tenant deployments with data residency and customer-managed keys on enterprise plans.

Does Blackbox.AI retain or train on customer traffic?The vendor states that retention and training on routed traffic are suppressed through provider terms and per-request flags wherever the provider API supports it, and dedicated deployments run on isolated single-tenant infrastructure.