TokenGO

TokenGO is a production-grade AI inference API platform built by Thorbase Inc., a Delaware C-Corp. It consolidates access to leading AI models—including DeepSeek, Kimi K3, GLM, MiniMax, and Qwen—under a single OpenAI-compatible API key, with a stated 99.99% uptime guarantee and a zero-retention data policy. The platform targets AI-native businesses and development teams where token spend is a meaningful budget line item.

What It Is

TokenGO is a neocloud inference gateway that routes requests across multiple frontier AI models through one unified API surface. Rather than managing separate integrations and API keys for each model provider, teams connect once and gain access to the full model catalog. The platform is OpenAI and Anthropic API-compatible, meaning existing integrations can migrate with minimal code changes. Thorbase Inc. positions TokenGO as a structural supply aggregator—sourcing idle GPU capacity from vetted datacenter partners and passing the lower marginal cost through to published per-token rates.

Model Catalog and Routing

TokenGO's catalog includes models from several frontier labs and independent providers:

• Kimi K3 (MoonshotAI) — text and vision input
• GLM 5.3 and GLM 5.2 (Z.ai) — text in/out, up to 1M context
• DeepSeek V4 Pro and V4 Flash (DeepSeek) — text in/out, up to 1M context
• MiniMax M2.5 — text in/out, 197K context

Smart routing targets supply with the right shape and free capacity, so short prompts and long-context jobs don't compete for the same GPUs. Automatic failover routes requests to fallback channels if an upstream provider fails.

Infrastructure and Performance Optimizations

TokenGO describes four layers of inference optimization it applies on top of upstream provider infrastructure:

• Smart routing — matches request shape (short vs. long-context) to available GPU supply
• Hardware adaptation — parallelism tuned per request, per chip, per datacenter
• Inference engine optimization — kernel-level optimizations the platform claims have been adopted by frontier labs on their own official endpoints
• Cache layer — KV state and repeated prompt prefixes reused across requests to avoid recomputing shared tokens

Enterprise and Governance Features

The enterprise tier adds a formal contracting surface on top of the self-serve API:

• 99.9%+ SLAs with downtime insurance written into contracts
• Reserved compute available on custom plans
• Per-team token assignment with hard spend controls
• Usage tracking and audit visibility across the organization
• US contracting under Thorbase Inc. (Delaware C-Corp), USD invoicing via wire or ACH
• DPA and subprocessor list available on request
• Zero-retention agreements with datacenter partners; frontier-lab models are governed by their own providers' terms, which TokenGO identifies explicitly

Privacy and Data Policy

TokenGO enforces a zero-retention policy at its own infrastructure layer: prompts and outputs are not logged, stored, or used for training. The platform signs zero-retention, no-training agreements with its private datacenter partners. For closed-weight frontier-lab models, data handling falls under the respective provider's terms, and TokenGO states it identifies exactly which models this applies to so teams can scope workloads accordingly.

Update: GLM 5.3 Launch

The most recent product update visible on the site is the addition of GLM 5.3 from Z.ai, announced via a site-wide banner. This follows GLM 5.2 already in the catalog, indicating active model catalog expansion as new releases from partner labs become available.