LiyaEngine
Solutions

Control Cost & Risk

See exactly what
AI is costing you.

Spend by model, by domain, by intent — plus a projected end-of-month bill that updates with every call. No black-box invoices, no surprise overages.

Cost Explorer
$696.70
SPENT THIS MONTH
$1,180.40
PROJECTED TOTAL
SPEND BY MODEL
claude-sonnet-5$412.20
gpt-4.1$188.40
Start with your domainKeep ownership and runtime context with the team that operates the capability.
Expose a clear contractIntegrate through a named intent instead of coupling product code to prompts.
Improve from evidenceTest and observe the same execution path your application calls.

Where teams get stuck

The prototype is easy. The operating model is not.

Production problems appear when prompts, provider logic, policy checks, and debugging are split across application services with no shared owner.

The bill arrives after the damage is done

Provider invoices land weeks later, aggregated with no breakdown — by the time you see the number, the spend already happened.

You can't tell which feature is expensive

One flat total doesn't tell you whether it's your support domain, your hiring domain, or one runaway intent driving the cost.

No warning before you blow the budget

Without a live projection, overage is a surprise you discover at month-end — not something you could have caught and fixed mid-month.

Production pattern

A direct path from business outcome to callable AI.

LiyaEngine keeps the capability surface simple while the infrastructure behind it remains governed and observable.

01

Own the capability

Create a tenant-owned domain and define the intent contract your product needs.

02

Connect the context

Link knowledge, tools, model configuration, and policies without changing the application interface.

03

Test the behavior

Run representative requests, review structured output, and inspect the full execution path.

04

Operate with evidence

Use traces, evaluations, usage, and cost context to improve the capability after launch.

How LiyaEngine helps

Move infrastructure out of the product code path.

Cost tracking is recorded alongside intent execution so teams do not need to reconstruct usage from disconnected provider logs. Attribute spend to the serving model, domain, and intent.

Spend is sliced three ways — by model, by domain, and by intent — with a live projected end-of-month bill that updates as you go, so you catch a runaway cost while it's still cheap to fix.

See the technical spec
Spend by intent
resolve_ticket$284.10
draft_response$173.40
check_policy$79.90

Ready to see your real cost breakdown?

Create your workspace, define a domain, and build the first intent around the outcome your team owns.