LiyaEngine

The platform for building production AI into every workflow.

LiyaEngine gives every team a clean API surface for domains, intents, agents, workflows, knowledge, and guardrails so AI features can move from demo to production with confidence.

Filet LLC/legal-ops
Example workspaceProduction Operational
Production domainLegal Operationslegal-ops
Sample requests18.2k
P95 latency2.8s
Policy pass99.8%
Contract reviewlegal-ops / contract-review
POST
Knowledge retrieved2 sources
Guardrails evaluatedPII policy passed
Response validatedSchema matched
Live requestPOST /v1/run
200 OK
Node.jsPythoncURL
01curl https://api.liyaengine.ai/v1/run \02  -H "Authorization: Bearer $LIYA_API_KEY" \03  -H "Content-Type: application/json" \04  -d '{05    "pack": "legal-ops",06    "intent": "contract-review",07    "input": { "message": "Flag risky renewal terms." }08  }'
Validated response1.4 KB
{ "risk_level": "high", "citations": 2 }
Design the contract

Create domains and intents your product can call.

Define the business surface once, then expose schema-bound AI capabilities through clean API routes.

  • Tenant-owned domains
  • Schema-bound intents
  • Editable runtime drafts
Capability path Live
01Domain
02Intent
03Schema
OutcomeCallable API contract

Built for teams across

Product teamsLegal opsSupportEducationHealthcareFintechComplianceand more

One API surface for AI your users can actually operate.

Domains create the boundary. Intents expose the capability. LiyaEngine handles the runtime details that usually scatter across prototypes, scripts, and dashboards.

Turn product behavior into callable intents

Each intent can define input, output, instructions, knowledge, tools, memory, execution, and guardrails without forcing users into low-level model plumbing.

Explore the API
response_schema.json
{
  "summary": "string",
  "risk_level": "low | medium | high",
  "next_action": "string",
  "citations": ["source_id"]
}

From blank workspace to production pattern.

01
Create your domain

Set the tenant-owned boundary for API identity, prompts, knowledge, and tools.

02
Add an intent or agent

Define the callable capability that lives inside the domain.

03
Connect knowledge

Link existing collections without duplicating documents.

04
Run and observe

Test live calls, then inspect traces, cost, latency, and safety results.

Production workspace
Live
legal-opsContract review
v12 · Active
Domainlegal-ops
Intentcontract-review
Runtimeproduction
Latest executionreq_8f21c9
200 OK
Knowledge2 sources
GuardrailsPassed
TraceRecorded
API surfacePOST /v1/run
Sample volume18,204 runs

Guardrails, retrieval, and observability built into the path.

Production AI needs more than a model call. LiyaEngine keeps behavior explicit, testable, and traceable across every tenant-owned capability.

Policy before response

Apply checks for sensitive data, unsafe actions, and domain-specific constraints.

Grounded by collection

Keep knowledge managed centrally while linking only what each domain needs.

Versioned by intent

Review changes, test behavior, and keep production calls aligned with the latest draft.

Production teams

Built for teams that need AI behavior they can explain.

Teams use LiyaEngine to replace scattered model plumbing with callable, testable capabilities.

LiyaEngine cut our AI feature development time from six weeks to three days. We called an intent and got structured, validated output back every time.
M
Marcus T.CTO · StoryHire
We connected our own knowledge base and defined our own intent schemas. Every response comes back validated against our schema.
D
Dr. Aisha R.Head of Product · A3 Learning Labs
We can finally see what every call costs and which model served it. Zero malformed outputs in production since we switched.
J
James O.Staff Engineer · Peridot Solutions

Start with a sample domain. Ship with your own.

LiyaEngine keeps sample domains available for testing, but production users create and manage their own domains, intents, agents, workflows, and knowledge base.

Create your workspace Request a demo