Private model fabric for apps

Build calm, capable travel apps with Enjway AI.

A model fabric for itinerary reasoning, route repair, trip memory, and production-ready user actions. Designed to feel simple at the surface and rigorous underneath.

Opens live rooms on enjway.com. Price, taxes, and cancellation terms are rechecked before payment.

OpenAI-compatible API shape Private model routing Typed action contracts Quality gates before deploy
Research

A model ladder with clear jobs.

Keep fast work fast. Send hard reasoning to deeper routes. Measure every path before it reaches a traveler.

01

8B and 14B fast lanes

Use 8B for instant classification, language cleanup, policy tags, and simple traveler answers. Step up to 14B for lightweight trip edits, memory lookup, action drafting, and low-risk support tasks.

02

30B and 32B operating tier

Route shopping, itinerary repair, margin checks, inventory comparison, and order-service decisions through 30B/32B models when the workflow needs context but still has to stay quick.

03

70B deep reasoning route

Reserve 70B for complex multi-city planning, disruption recovery, refund edge cases, direct-connect tradeoffs, and operator-reviewed decisions where accuracy matters more than latency.

Products

Intelligence that shows up as useful product.

The interface stays quiet: route suggestions, itinerary edits, clear confirmations, and a review trail your team can trust.

Trip Copilot Live

Weekend plan

Bengaluru without the rush

8 stops, 2 calm dinner windows, 1 weather-safe backup
Make the plan premium, but keep it unhurried.
I moved dinner earlier, reduced cross-city transfers, and kept Sunday open for a slower neighborhood walk.
Selected route deep-travel-reasoning
Why this model

Premium itinerary optimization needs deeper reasoning and stricter review.


          
Developers

An API surface your team already understands.

Use familiar chat completions, streaming responses, model names, and structured actions while Enjway handles product-specific policy.

POST /v1/chat/completions
{
  "model": "enjway-trip-copilot",
  "messages": [
    { "role": "user", "content": "Repair my Sunday route" }
  ],
  "response_format": { "type": "trip_action_contract" }
}
Product fabric

Private LLM infrastructure for Enjway's app intelligence.

The app keeps a simple Copilot surface while the backend handles model selection, signed action contracts, quality scoring, repair passes, and rollout gates across 8B, 14B, 30B, 32B, and 70B routes.

Model gateway

OpenAI-compatible, private by default

Enjway talks to a backend-only `/v1` gateway, so the mobile app never receives model keys. vLLM-backed routes can serve small fast models and deep reasoning models behind one API shape.

Runtime
Self-hosted gateway, bearer token, `/v1/chat/completions`
Catalog
8B, 14B, 30B, 32B, and 70B model lanes
Router policy

Send each request to the right tier

The router chooses frame, default, repair, deep, or frontier paths from context size, user tier, expected cost, latency budget, health status, and whether the result needs review.

Fast path
8B/14B for frame extraction and safe low-risk edits
Deep path
32B repair and 70B premium reasoning when quality matters
Quality gates

Ship model changes through evidence

Every route can be gated by smoke checks, JSON validity, judge score, repair rate, fallback rate, p95 latency, canary promotion, and ops audit trails before broad rollout.

Contracts
Typed actions, signed selections, structured responses
Ops
Quality dashboard, audit events, canary and repair controls

Start with one route. Grow into a fabric.