A working request path
Applications use a familiar endpoint. Administrators choose the providers, models, credentials, fallback rules, and cost strategy behind it.
AI Gateway HQ sits between an organization’s AI tools and model providers. It checks who is asking, how much a request may cost, which rules apply, and whether the provider is healthy. The product runs in AWS today with self-service setup, prepaid billing, managed Bedrock, and company-approved portfolio reports.
Organizations are adding model providers, coding agents, cloud AI services, and internal applications at the same time. The result is fragmented credentials, inconsistent policy, unpredictable spend, and evidence that is difficult to compare.
AI Gateway HQ gives those requests a common checkpoint. A team can start with a single application and keep the same connection as its needs change.
The public site shows sanitized product captures and current limits. Qualified recipients can request a dated briefing with more product, commercial, risk, and test detail.
Applications use a familiar endpoint. Administrators choose the providers, models, credentials, fallback rules, and cost strategy behind it.
Prepaid credit, hard budgets, spend reservations, and reload caps stop excess use as it happens. Teams do not have to wait for an invoice.
The gateway applies identity checks, policy, and safeguards in one place. Its audit record explains each decision.
Company-approved reports compare cost, budgets, reliability, model use, and key safeguards. They exclude prompts, keys, and customer data.
The first step stays economical by using customer-owned provider accounts. Larger plans add shared controls, reporting, identity, deployment options, and ongoing operational support.
A team can connect its provider account and put a single workload behind the gateway. It can then test routes, policy, budgets, and reports in a small rollout.
Company and Portfolio plans add shared administration, reporting, and oversight as usage grows.
Enterprise customers can add identity setup, assurance support, deployment design, and ongoing operations help.
Private-equity operating teams can compare participating companies on common terms. Each company keeps its own administrators, credentials, policies, payments, and data.
Submit a short request. We verify the recipient and purpose, then send the approved material to the work email provided.