The AI infrastructureenterprises build on.
Your team builds the product. LiyaEngine handles the AI. Domain knowledge, guardrails, retrieval, and schema-enforced outputs — pre-assembled per vertical and deployed as shared infrastructure your applications run on.
Building domain AI shouldn't mean building AI infrastructure.
Every serious AI product needs domain knowledge, retrieval, guardrails, and schema-enforced output — assembled per vertical, maintained across model updates, and scaled from scratch. LiyaEngine is the shared platform layer that eliminates all of it.
Infrastructure before product
Teams spend months building retrieval pipelines, prompt scaffolding, and guardrails — before shipping a single user-facing AI feature.
Generic AI gets your domain wrong
General-purpose models hallucinate industry-specific details, return unstructured output, and fail silently in production — eroding trust fast.
Every feature is a one-off
Without a shared platform layer, each AI feature becomes a bespoke system — impossible to audit, hard to maintain, and painful to scale as your product grows.
We handle the rest.
The platform primitives your application runs on.
Every LiyaEngine application runs on the same stack — knowledge retrieval, guardrails, and agent orchestration — assembled automatically behind a single structured endpoint.
One call. The full AI stack.
Knowledge retrieval, guardrails, and orchestration — composed automatically behind a single structured endpoint.
pack: "talent",
intent: "score-candidate",
input: { resume_id, job_id }
});
Grounded in your knowledge, not retrained on it.
Index your documents, policies, and data. LiyaEngine retrieves the right context at inference time — no fine-tuning required.
Policy enforcement on every call.
Pre- and post-generation checks catch hallucinations and enforce output contracts before your users see a thing.
Your knowledge, always in context.
Semantic and keyword search, ranked and compressed, injected into every inference call automatically.
Context flows across every call.
Session and user state persists automatically. Chain intents, maintain context — no Redis, no middleware.
Already shipping. Built to run yours next.
Liya Support Intelligence is live on this infrastructure today. Talent AI and Compliance Intelligence are shipping next. The same platform — guardrails, retrieval, orchestration — is available for your domain.
Liya Support Intelligence
AI support operations for modern service teams
Talent AI
Score candidates against your role. No resume pile.
Compliance Intelligence
Map your policies against regulation. Automatically.
One intent call. Complete, validated AI output.
Guardrails, knowledge retrieval, and agent orchestration run automatically on every call. Your team ships AI features — not AI infrastructure.
Enterprise-grade.
From day one.
Multi-tenancy, white-label deployment, audit trails, and regulated industry architecture aren't add-ons. They're the baseline every LiyaEngine application runs on.
LiyaEngine cut our AI feature development time from six weeks to three days. The intent API does exactly what it says — we call it, we get structured data back, done.
“We connected our clinical policies and knowledge base. Now every output comes back validated in ICD-10 format — we're not prompting from scratch or managing output parsing.”
“Guardrails that actually work. We haven't had a malformed output in production since we switched.”
Built for your domain. Ready when you are.
Tell us about your use case. We'll show you exactly how LiyaEngine fits your business — and what it looks like in production.