NeosToken brings multiple generative AI models behind one API and centrally manages model selection, access control, token usage, cost, security, and audit logs.
Try for FreeVisualize model health, token usage, cost, security events, and audit logs in one place. Track activity by department and application to maintain effective operational control.
Centralize model access, API keys, permissions, cost, and security policies in NeosToken to build an enterprise-wide AI foundation.
Access text, image, audio, and video models through a common interface. Add or change models while minimizing modifications to existing systems.
Select the best model based on task, quality, latency, availability, and budget rules. If a failure or rate limit occurs, traffic automatically switches to a configured backup model.
Set available models, token limits, and API keys by employee, department, or application while reducing the use of personal accounts and unapproved AI services.
Aggregate token usage and cost by model, department, project, employee, and application to identify budget overruns or abnormal activity early.
Record model calls, routing results, token usage, response status, and security events to detect failures and suspicious activity early.
Connect business applications to NeosToken once. Authentication, authorization, security checks, model selection, usage metering, and audit all run in one flow.
Connect business systems, AI agents, and development or productivity tools to the unified API.
Authenticate users, departments, and applications, then verify which models they may access.
Detect sensitive information according to enterprise policies, then mask or block it.
Route each request based on task, quality, cost, and current model availability.
Record token usage, cost, response status, and security events.
With NeosToken, connection methods and governance standards remain consistent even as the number of models grows.
For continued use in critical workloads, we keep model providers, metering methods, service scope, and data handling clear and transparent.
We use model services from clearly identified providers that support stable, continuous operation.
Review token usage and charges based on actual model-call records.
We do not replace selected models or downgrade service specifications without prior agreement.
Input and output data are handled according to the policies set by your organization.
Tell us about your current models, business systems, and security requirements. NeosAI will recommend the right path from product demos and integration planning to PoC execution.
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