FlowVision
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Open console
Mint ribbons converging into one model gateway

FlowVision AI Platform

Bring enterprise AI
into everyday work.

Model access, one gateway, intelligent routing and governance.
One foundation for your business and AI teammates.

Explore the platform Open console
L1

One key. Many AI capabilities.

Text & conversation

Product copy, knowledge answers, extraction and reasoning. Choose text capabilities that fit each task.

Explore use cases ↗

Available models, modalities and interfaces depend on the current platform catalog.

L2

A common connection for different models.

Multiple models connected through one gateway
Your business → FlowVision → Model providers
L3

Route each task to a suitable model.

Lightweight tasks first. Stronger models when needed.

Balance quality, latency and cost. Use smaller models for initial processing and stronger models for complex reasoning. Choose a task to explore.

This illustrates routing logic without making live model calls. Automatic routing, model handoffs and multimodal orchestration require a defined implementation scope.

Turn model capabilities into business workflows.

Connect AI to your store systems, business tools and applications to streamline repetitive work.

More use cases Explore 6 more use cases ＋

From everyday operations to peak demand, from a single store to a multi-client platform.

Campaign & live-commerce support

Handle concentrated product questions during promotions and livestreams.

Retrieve knowledge → Answer routine questions → Escalate complex cases to a stronger model or a person.

Business value: plan peak capacity and provide a clear escalation path.

L1 Model accessL2 Unified accessL3 Tiered routingL4 Budget controlsQPS assurance

Requirements: connect your support system and knowledge base; agree capacity for peak traffic.

Cross-border product localization

Adapt product titles, descriptions, narration and videos for different markets.

Product facts → Localized copy → Voice and video assets → Local review.

Business value: reuse product information and reduce repetitive localization work.

L1 Multimodal modelsL2 Common protocolL3 Model specialization

Requirements: verified product facts, market requirements, language review and product consistency checks.

Bulk listings & catalog preparation

Turn supplier information into product drafts for batch launches.

Source material → Attribute extraction → Listing drafts → Human validation.

Business value: move from manual entry to batch review.

L1 Text modelsL3 Task routingL4 Usage managementQPS capacity planning

Requirements: integrate the product system and review extracted facts and sensitive claims.

Knowledge assistants for retail teams

Help stores find campaign policies, product information and operating procedures.

Employee question → Authorized knowledge retrieval → Sourced answer → Escalation.

Business value: shared knowledge with department access boundaries.

L2 App integrationL3 Question triageL4 Department permissions

Requirements: a knowledge base and application-level access controls. The gateway does not replace document permissions.

AI features for service providers & SaaS

Manage models, client budgets and peak workloads across multiple merchants.

SaaS request → Unified gateway → Model selection → Per-app usage tracking.

Business value: reduce repeated integrations and define capacity and cost boundaries.

L1 Model aggregationL2 Unified gatewayL3 Routing policiesL4 Keys & usageAvailability assurance

Requirements: integrate your account and tenant systems; confirm compatibility and service scope.

Marketing creative iteration

Test different messages, channels and audiences for the same product.

Creative brief → Copy and script variants → Voice and video → Review and campaign feedback.

Business value: create a repeatable workflow for creative testing.

L1 Multimodal modelsL3 Model collaborationL4 Project budgets

Requirements: application orchestration, asset rights and final review. Agree throughput using asynchronous-task metrics.

AI teammates for every department.
One shared AI foundation.

Move from model access to defined business tasks. Each assistant has a clear role, authorized knowledge, tools and review boundaries, supported by FlowVision L1–L4 and capacity planning.

Connect tasks, knowledge and tools.

The API platform supplies model capabilities. AI teammates also need application workflows, system integrations and approval steps. Assemble them around each role.

Business tools & authorized data

Start tasks in existing tools and connect only the knowledge, files and data the role is allowed to use.

Collaboration · ERP · CRM · Knowledge base

AI teammate application layer

Define responsibilities, orchestrate tasks, invoke tools and record actions. Route consequential steps for human review.

Workflows · Tools · Review & audit trail

FlowVision model foundation

L1 model access, L2 unified gateway, L3 routing and L4 governance provide shared model services across departments.

QPS capacity assurance · 99%+ availability

Start with one role and one task.

Choose frequent tasks with complete inputs and verifiable outputs. Validate assisted delivery before expanding access and usage.

  1. Define the role: inputs, outputs, prohibited actions and an accountable owner.
  2. Connect systems: confirm data access, available tools and permitted actions.
  3. Pilot with real samples: evaluate accuracy, time and cost per task.
  4. Scale after acceptance: configure department keys, budgets, QPS and escalation.

How do departments collaborate on a launch?

Commerce: prepare product facts→Marketing: create the content pack→Sales: prepare customer communication→Support: update answer drafts

Each role receives only necessary, authorized information. Department owners approve outputs before handoff. Finance reconciles settlements and leadership reviews business feedback.

These are implementation concepts, not a claim that the console includes ready-made assistants. Integrations, application development, access controls and delivery scope are agreed per project; capacity and availability follow the enterprise service agreement.

L4

Enterprise AI that is easier to manage.

Credits are only part of the equation.

Quotas define how much you can use. QPS capacity defines how many requests can be handled at peak times. FlowVision combines capacity planning with L1–L4 capabilities.

99%+

Service availability assurance
Covered models, service scope and measurement methods are defined in your agreement.

QPS capacity assurance

Agree request capacity for your workload. Define normal and peak demand before launch, alongside your usage budget.

Plan ahead for peak traffic

Assess promotions, bulk listings and concurrent applications by model and task type.

Defined availability commitments

Support for 99%+ availability, with monitoring scope, measurement periods, incident handling and responsibilities defined in the service agreement.

During a campaign, support needs both budget and capacity.

L1 supplies models, L2 connects applications, L3 routes tasks and L4 manages keys and budgets. Agreed QPS capacity supports concentrated demand.

QPS, concurrent tasks, token throughput and response latency are separate metrics. Commitments depend on the model, workload and agreement. Video and other asynchronous tasks also need submission-rate, execution-concurrency and completion-time targets. Availability does not guarantee content accuracy or business results.

From one user
to an entire team.

Define who can use which models, how much they can spend and where access begins and ends.

Permissions & departments

Set access boundaries by role and business team.

Keys & quotas

Assign keys and budgets per application to reduce credential sharing and uncontrolled spend.

Usage & cost

Track model calls and expenses to evaluate business investment.

Provider switching

Adapt providers behind the gateway to reduce repeated integrations.

Prove one use case.
Then expand.

Bring a real task, sample inputs and a clear objective.
Start with model access and build the AI service your business needs.

Start in the console
01

Define the use case and acceptance criteria

Set quality, response-time and budget targets for a specific task.

02

Connect the API and test real samples

Get a key, choose an available model and test it in your application.

03

Scale with your business

Assess QPS and throughput, agree availability targets, and configure routing and governance.

Before you connect

Why do I need QPS assurance if I have credits?

Credits cover total consumption; QPS covers requests per second. Campaigns, batch work and concurrent apps can hit rate or concurrency limits while credits remain. Agree normal, peak and excess-demand handling for your models and workloads. FlowVision offers capacity plans tailored to those needs.

What does 99%+ assurance cover?

Enterprise service availability. The exact percentage, covered interfaces and models, measurement period, incident definitions, exclusions and responsibilities follow your agreement. Throughput, model latency and output quality are specified separately.

Can a team without developers use it?

FlowVision is primarily a model API platform. Integration usually requires developers, a service provider or tools supporting custom APIs. Product content and support use cases also need an application layer and business data. Check the console for current features.

Can I switch models without changing code?

Within supported protocols and adapted capabilities, changing model or routing settings can reduce code changes. Modalities, model-specific parameters, asynchronous tasks and output quality still differ and require validation. The gateway aims to minimize migration costs.

Can every capability on this page be enabled immediately?

This page presents four platform layers and implementation concepts. Model availability, interfaces and console features depend on the actual service. Intelligent routing, department governance and business-system integrations require an agreed configuration and delivery scope.