The Waitlist Is Open
Tikoly today opened its waitlist to enterprise customers. Tikoly is a managed LLM service built for robust agentic operation — the discipline layer between your AI agents and the models they call.
Enterprises are moving from single prompts to agent workflows: many chained model calls, real tools, real customers, real money on the line. Generic API pricing and best-effort reliability were never designed for that. Tikoly was. Every request is handled according to your policy — the right model for the job, cost checked before it is spent, and a complete record kept after the fact.
Already Running in an Early Enterprise Deployment
This is not a whitepaper. Tikoly’s routing service already runs as the model gateway for an early enterprise deployment, where it handles customer-facing and internal agent traffic under three rules that will feel familiar to any CIO:
- Policy is enforced in the request path. Calls that violate policy are blocked or escalated before they reach a model — not reviewed after the damage.
- Every request leaves an audit record. What was called, what was chosen, and why — one line per request, from day one.
- An outage degrades policy, not availability. When a component is slow or down, traffic still flows; the record says so, and the watch knows.
The result so far: agent turns that are attributable, costed, and reliable — with no surprise bills and no unexplained behavior.
What Waitlist Members Get
Enterprises joining the waitlist receive prioritized access to the service, onboarding and policy-design support from the team that built it, usage sized for real evaluation workloads, and a direct line to the roadmap. Seats in this phase are deliberately limited.
If your teams are running AI agents in production — or plan to — request access at tikoly.com/ask.
About Tikoly — Tikoly is an LLM service for agent-native workloads: policy-controlled routing, predictable cost, and auditability by default. tikoly.com