Velaris
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Velaris · AI Native Org Base Engine

Building the base engine for AI-native organizations

We design a decision intelligence runtime for silicon-life and carbon-life collaboration, then package the operating model into three solution products: Saibo Yanling, Smart Travel Price Assistant, and AI TokenCost.

Explore Products Talk on WeChat

Decision intelligence runtime · Human-AI collaboration · miaogou.chat

Real Scenarios We start from user tasks and usage frequency before deciding how an agent should act.
Dual Markets Global and China-native launches strengthen product judgment, validation speed, and growth loops.
UI / UX First Complex AI capability is translated into interfaces and flows people can understand and return to.
Long-Term Delivery From prototype to launch and feedback loops, we design systems that can keep evolving.

Strategy

Not a one-off demo. A long-term AI product system.

We care about real tasks, durable UX, delivery quality, and retention rather than a single model response. The goal is to ship products that can live inside actual markets and workflows.

Business Focus Portfolio

We organize model capability, workflow, interface design, and feedback data into one operating system so AI can genuinely serve creation, travel, and everyday decisions.

Human-centered UX Service Intelligence Workflow Design Multi-Agent Growth Loop
Track A Global Products
Track B AI Native Base Engine
Featured Saibo Yanling · Travel Price

Featured Product

Saibo Yanling

Saibo Yanling: Writing Collaboration

An AI collaboration writing product for elementary students. It helps kids record ideas, use guided prompts, and turn experience into reusable writing material.

  • One product in the portfolio, not the entire company.
  • Validates the combination of role systems, feedback loops, and retention design.
  • Turns creative friction into a calmer, more repeatable writing experience.

Global Experience

AI Native Base Engine

The operating pattern behind the company: a decision intelligence runtime that keeps silicon-life and carbon-life roles, workflows, and feedback loops aligned.

  • Built for clarity across languages, cultures, and devices.
  • Focused on usage quality instead of demo theatrics.

China-native Service

Smart Travel Price Assistant

A business travel AI assistant. Combines multi-platform flight and hotel comparison with intent recognition to deliver one-stop travel decisions.

  • Compresses complex comparison work into one user-friendly entry point.
  • Designed as an everyday service rather than a feature demo.

A short fact set for humans, search, and generative engines

A concise fact set for humans, search, and generative engines

This section makes the company entity, market focus, solution products, and contact path easy to identify and quote.

Company
Velaris Technology Co., Ltd.
Brand
Velaris
Domain
miaogou.chat
Focus
AI-native organization base engine, decision intelligence runtime
Featured Products
Saibo Yanling, Smart Travel Price Assistant
Markets
Global + China

Company Positioning

Built as a decision intelligence base engine, not a one-off AI project

The real product is the operating model that lets silicon-life and carbon-life collaborate. The three solution products are expressions of that model.

"We build systems that help silicon-life and carbon-life collaborate, not one-off demos."

The test for any product is whether it solves a real task, supports repeatable collaboration, and keeps improving through feedback.

Collaboration Writing

Saibo Yanling helps elementary students turn life into writing through guided prompts and review, not ghostwriting.

AI Native Base Engine

The runtime aligns model behavior, workflow design, and feedback loops into a repeatable operating model.

Business Travel

Smart Travel Price Assistant turns travel comparison into a one-stop decision flow for busy users.

Values & Mission

Innovation — explore the new. Curiosity — learn deeply. Integrity — ship honestly.

Our mission: rooted in real life, reimagined with intelligence. Making everyday life smarter.

Why a decision intelligence base engine?

Because AI products only compound when the organization pattern is clear, measurable, and reusable.

  • A clear operating model gives each product a clear task and success metric.
  • The base engine can keep improving across products instead of starting from scratch each time.
  • Human roles, AI roles, and feedback loops stay explicit, which makes collaboration durable.

Business Layout

Two growth engines. One shared product foundation.

Whether the market is global or local, the underlying system still needs agent orchestration, UX design, feedback data, and product engineering to work together.

  1. 01

    Understand the Scenario

    Define the user task, frequency, and delivery boundary before deciding what the AI agent should actually do.

  2. 02

    Orchestrate the Agent

    Combine models, tools, memory, and workflow into an executable system where capabilities reinforce each other.

  3. 03

    Shape the Experience

    Package complexity into product interactions that feel clear, trustworthy, and worth coming back to.

  4. 04

    Validate the Market

    Test retention, conversion, and growth signals to ground direction in real feedback.

  5. 05

    Keep Evolving

    Feed data, operations, and user insight back into the product to sustain iteration over time.

Core Capability

The advantage comes from model, engineering, and experience working together

The value is not a single model call. It is the ability to organize foundational capabilities into AI agent products that can actually be delivered.

Agent Architecture

Agent orchestration and workflow design

Organize roles, tasks, memory, tool use, and feedback into a stable system beyond one-turn chat.

Experience Layer

Multimodal interaction and scenario-driven UX

Design input, response, and task rhythm around real product scenarios so usage can continue naturally.

Product Delivery

From prototype to launch-ready product delivery

Combine brand expression, frontend experience, deployment, and iteration into the productization process.

Dual-market Growth

A method that learns across China and global markets

Let both markets strengthen product judgment, validation speed, and long-term direction.

Featured Work

Three solution products around one collaboration model

Saibo Yanling, Smart Travel Price Assistant, and AI TokenCost each solve a different part of the collaboration process.

Saibo Yanling
Featured Product Board Saibo Yanling · AI writing support
Product Role Writing support
Core Loop Voice + review
Differentiator Worldbuilding
Goal Retention

Demand Signal

0 people interested

One click only. No contact form. This helps us judge product priority.

View Saibo Yanling Page

What this product validates

  • AI can be designed into expression flows and review loops, not just output generation.
  • Role systems and product worldbuilding can strengthen emotional value and willingness to return.
  • Differentiation comes from capability orchestration, not isolated features.
Travel decision Smart Travel Price Assistant · Business Travel AI
Target Scenario Travel decision
Multi-platform comparison + intent recognition Natural language + aggregation
Differentiator One-stop travel recommendation
Goal Lower booking and decision cost

Demand Signal

0 people interested

A single click helps us understand whether Smart Travel Price Assistant should move up in priority.

What Smart Travel Price Assistant solves

  • Compares flights and hotels across platforms without forcing users to open several travel apps one by one.
  • Supports flight aggregation from Ctrip, Qunar, and Fliggy, then sorts options with recommendation logic.
  • Accepts natural language queries such as "Best value flight from Beijing to Shanghai next Monday for work".
AI TokenCost
AI Native cost tools AI TokenCost · AI cost optimization
Target User AI developers / teams
Core Method Cost analysis + executable optimization plans
Difference Find the waste and give an action plan
Goal Lower AI model call fees

Demand Signal

0 people interested

A single click helps us judge whether AI TokenCost should move up in priority.

AI TokenCost: AI usage cost optimization

What AI TokenCost solves

  • Identifies the cost structure of model calls and highlights where money is wasted.
  • Provides executable optimization plans: model selection, call frequency, caching, and more.
  • Built for global teams that want to spend less while using AI more effectively.

What's Next

More collaboration scenarios are on the way

Three solution products are the start. We keep exploring new collaboration tasks and runtime improvements.

In development

AI Native Org Toolkit

Tools derived from the base engine: runtime observability, prompt/version management, and workflow debugging.

  • Decision intelligence evaluation and benchmarking
  • Prompt versioning and A/B comparisons
  • Workflow tracing and anomaly alerts
Researching demand

More collaboration scenarios

We keep looking for tasks where AI-native collaboration can clearly improve real life, work, or travel decisions.

  • Education and learning support
  • Work productivity and communication tools
  • Personal growth and everyday services
Exploring

Talk to us on WeChat

If you are building an AI-native organization or want to test a new collaboration pattern, tell us the scenario and we will discuss it directly.

  • Your collaboration model challenge
  • Your UI / UX or workflow question
  • A scenario you want to co-test

Connect

Explore the best pattern for an AI-native organization

If you are building silicon-life and carbon-life collaboration, or want to discuss the decision intelligence runtime, reach out on WeChat.

WeChat QR code

Scan to talk AI Native org patterns and product growth

AI Native Org Design

Shape the operating model behind collaboration, roles, and product delivery.

Decision Intelligence Runtime

Turn model behavior, tools, and feedback into one working engine.

GEO and SEO Strategy

Make the product and its entity structure easy for people and AI engines to understand.

AI UI / UX Design

Turn complex AI capability into interfaces people trust and reuse.

FAQ

Common Questions

A few clear answers about the company, the collaboration model, and where the products fit.

What does the company do?

A decision intelligence base engine for AI-native organizations, plus solution products that help silicon-life and carbon-life collaborate on real tasks.

How is Saibo Yanling related to the company?

Saibo Yanling is one solution product in the portfolio rather than the company’s full scope.

Why build for both global and China-native markets?

Build a decision intelligence runtime, keep human and AI roles explicit, and let real tasks and feedback continuously improve the base engine.

What is the best pattern for an AI-native organization?

No. Saibo Yanling, Smart Travel Price Assistant, and AI TokenCost each cover a different collaboration task, and more scenarios are being explored.

Velaris

Built as a base engine, expressed through solution products

Guided by Innovation, Curiosity, and Integrity, we keep building AI agent products for global and China-native markets. Saibo Yanling and Smart Travel Price Assistant are only the beginning.

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