Unified AI gateway
One API entry point for multiple model providers and locally hosted LLMs.
In development. Open to what’s next.
AI USAGE & COST GOVERNANCE
Make every
token count.
Bring clarity to your AI spend. We’re building one place to manage model access, understand usage, and help your business use AI more efficiently.
Your cloud. Your hardware. Your AI, under control.
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IQLater / WorkspaceJD
YOUR AI, AT A GLANCE
Sample monthUsage overview
Total spend$248.60Across model providers
Tokens used12.4MAcross 3 teams
Token usage by weekInputOutput
Engineering52%Support30%Research18%
INTELLIGENT ROUTINGThe right model for the task.
One governance layer.
Every way your team uses AI.
Chat toolsCoding agentsBusiness appsInternal workflows
01 / THE PLATFORM
AI spend should make sense.
Connect usage to the people, projects, and decisions behind it. Turn scattered model calls into a clearer picture of your business.
PLATFORM DESIGN PREVIEW
The story behind the spend.
A sample monthly AI usage report
Attributed spend$248.60 USD
| Team | Share | Cost |
|---|---|---|
| Engineering | 52% | $129.27 |
| Support | 30% | $74.58 |
| Research | 18% | $44.75 |
From a total on an invoice to an explainable cost for each team.
Freedom, with a framework.
Example policies for an engineering team
Model accessApproved providers only
Monthly budgetSet by the organization
Usage alertsBefore a quota is reached
Sensitive requestsPrivate model route
Consistent permissions and limits across users, API keys, and workflows.
Different tasks. Better choices.
Illustrative classifier-assisted routing
Routine taskEfficient model
Complex reasoningHigher-capability model
Sensitive dataApproved local model
Routing is designed to respect your policies. Savings depend on the workload and model choices.
Illustrative examples · Capabilities in development
The foundations we’re building.
PLANNED CAPABILITIESIdentity & permissions
Organizations, users, API keys, roles, and permissions in one management layer.
Model operations
Model configuration, routing, fallback, and rate limits for dependable access.
Accounts & budgets
Provider account management, team budgets, and quotas that put spend in context.
Usage & cost reports
Token analytics, cost attribution, dashboards, and management-ready reports.
Observability
Request logging, tracing, monitoring, and alerts to understand what happened.
Privacy & guardrails
Configurable data handling, access policies, and security controls for AI requests.
Connected workflows
Workflow and multi-model orchestration with usage visibility across each step.
02 / DEPLOYMENT OPTIONS
One vision. Two ways to run it.
Start with the environment your business needs. We’re developing a cloud platform and an integrated appliance for local AI.
FLEXIBLE BY DESIGNPlanned
IQLater Cloud
A shared governance workspace for teams working across AI providers.
- Centralize access to multiple model services
- Track usage, budgets, and costs across teams
- Manage policies from a common control layer
CLOSER TO YOUR DATAPlanned
IQLater Appliance 一体机
Local LLMs and AI governance, brought together on dedicated hardware.
- Run supported models on your own infrastructure
- Keep local inference within your environment
- Bring access, usage, and routing controls on site
Both solutions are in preparation. Availability, supported models, hardware, and deployment requirements will be confirmed through evaluation.
03 / THE COMPANY
Built in Shanghai.
Open to collaboration.
AI is becoming part of everyday work. Making it accountable should be just as natural.
IQLater is the product initiative of Shanghai Jiangzhi Artificial Intelligence Technology Co., Ltd. We’re developing tools that help organizations understand AI consumption, manage access, and make better decisions about models and infrastructure.
We are currently preparing the product and exploring early customer needs and technology partnerships.
Shanghai, China · English & Chinese inquiries welcome
FOR HARDWARE & TECHNOLOGY PARTNERS
Let’s build the local AI stack.
We are evaluating GPU compute platforms, workstations, and server hardware for our planned on-premises AI appliance. We welcome conversations with hardware manufacturers, distributors, and infrastructure partners about model compatibility, integration, and procurement.
Explore a hardware partnership04 / LET’S CONNECT
Good things start
with a conversation.
Exploring AI governance for your team? Building the hardware behind local AI? We’d like to hear what you’re working on.
Based in Shanghai. Open to conversations worldwide.