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The Subconscious Inference System is a GPU orchestration platform designed to serve coding agents with industry-leading efficiency. The system is deployed into the customer’s cloud and runs on customer-provided GPUs, giving enterprises control over their infrastructure while Subconscious provides the software layer for reliable, efficient agent inference.

Customer-controlled deployment

Prompts, completions, keys, logs, and operational data stay in your environment unless you choose to share them.

Coding-agent ready

Engineers use OpenAI- and Anthropic-compatible endpoints from tools such as Cursor, Claude Code, OpenCode, and internal agents.

Assisted deployment

Subconscious FDEs help plan, deploy, configure, and support the system with your platform and security teams.

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Benefits

  • Protect data and IP: Tools like Claude Code or Codex can ship prompts, code, and engineering context outside your trust boundary. The Subconscious Inference System keeps coding-agent inference in infrastructure you control.
  • Own your intelligence economics: Rent GPUs, choose the model, and serve your own coding intelligence instead of depending on closed APIs with high or unpredictable costs.
  • Cut GPU spend for agent workloads: The Inference Runtime is designed to serve teams of engineers with roughly half the GPUs compared with off-the-shelf inference runtimes like vLLM.
  • Frontier-level intelligence: Open models like GLM 5.2 now match leading closed models on coding-agent performance, making owned deployment a practical option.
  • Reduce platform engineering burden: Subconscious helps manage the API Gateway, Inference Runtime, Distribution Platform, upgrades, and support so your platform team can focus on higher-value work.
See the Subconscious pricing page for the ROI calculator and savings model.

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Who it is for

The Subconscious Inference System is for enterprises that want frontier-level coding agents without giving up control over data, IP, cost, or reliability. It is usually a fit when:
  • You have 50+ software engineers using or evaluating coding agents.
  • Security or IP requirements make hosted tools hard to approve.
  • You want predictable costs and owned GPU capacity.
  • You do not want to build and maintain a full self-hosting stack yourself.