Every enterprise is deploying AI agents. Almost none can answer the questions that follow: which models are they using, what did they cost, what did they access, and who approved it? ApiSpi is the platform that answers all four — one gateway for every model and agent, with governance, auditability, and compliance built into the request path itself.
The AI platform shift is repeating the cloud playbook: adoption first, governance scramble second. We built the governance layer first — and made it the router everything else runs through.
Policy-as-code, an AI firewall, maker-checker approvals, retention controls, a one-tap emergency stop, and supply-chain validation that quarantines tampered upstream agents. These aren't features bolted onto a wrapper — they run inside the request path, which is precisely where switching costs live.
Entra SSO, a native Microsoft Teams bot, and direct reporting of every AI interaction into Microsoft Purview — ApiSpi shows up inside the compliance tooling enterprises already own, alongside HMAC-signed export to Splunk, Sentinel, or Elastic. The buyer is the CAIO; the CISO's checklist is already answered.
Live market pricing across three sources, drift detection, model lifecycle watchdogs, and an Auto router that sends each request to the cheapest model capable of the task. As model prices whipsaw — we've recorded 2× swings in a week — neutral routing with spend governance becomes the buying reason.
Australian-built, with data-sovereignty controls (connector country allow-lists, retention policy, PII redaction) and routing to sovereign models. A credible local answer for government and regulated industries navigating the Privacy Act reforms.
The gateway speaks the OpenAI API, so every terminal agent, IDE, and workflow tool connects without integration work. MCP and A2A make ApiSpi both a consumer and provider in the emerging agent-to-agent economy — early rails in a network that compounds.
A lean platform shipping enterprise-grade capability at startup speed — model marketplace, agent workspaces, billing, and governance delivered on infrastructure costs a fraction of typical AI-platform burn.
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