Too many models, too little clarity
Hundreds of models offer different strengths, prices, and integration methods. Evaluating them one by one takes time and specialist knowledge.
About TokenLat
Making AI work
in the real world—
for every business.
TokenLat is an AI capability delivery platform founded by Hunan Kongrang Technology Co., Ltd. We bring together capable, cost-effective AI models and support teams from model selection through to outcome tracking.
We do not build foundation models. We help deliver their capabilities—so businesses can move from simply having access to getting meaningful results.
AI capability deliveryFrom business needs to real outcomes
Business needTokenLatReal outcome
01Model selection
02Solution design
03Implementation
04Outcome tracking
Who we areBuilt for real needs.
Built for real needs.
Proven in practice.
Secure by design.
TokenLat began as the internal AI foundation of a leading security technology group in China. The group has long supported government and public-security organizations with high-security requirements. Our team brings deep experience in big-data analytics, cybersecurity, data processing, and information security.
As demand grew for internal knowledge bases, automated workflows, and AI-assisted data analysis, we built an AI aggregation and delivery platform to support the group’s own digital transformation.
Once the platform had been proven in real operations, we saw that the same capabilities could help many more organizations. We turned it into a product and opened it to the market. That is how TokenLat began.
- 01Built for internal needs
Supporting knowledge bases, automated workflows, and data analysis across the group.
- 02Proven in practice
Continuously validating model access, delivery, and security in real-world operations.
- 03Ready for more teams
Making a proven platform available to businesses and developers.
Security and compliance have been part of TokenLat from day one—not an afterthought.
What we help solve
AI adoption looks simple. The reality is more complex than a single API call.
Integration takes real engineering
API integration, cost control, quality evaluation, and incident handling all require focused technical expertise.
Compliance boundaries are not always clear
Data security, content review, and cross-border transfers need to be considered carefully from the start.
Business value can be hard to measure
Teams need a clearer way to understand whether AI is improving efficiency and delivering a worthwhile return.
Regional expansion adds another layer
Technical integration, compliance review, and localization create distance between capable models and the markets that need them.
You should not have to worry about which model to choose, how to connect it, or where compliance fits. Tell us what you want to achieve, and TokenLat will help with the rest.
How we help
One clear path from first connection to meaningful business value.
One API for a broad range of models
TokenLat provides a standardized OpenAI-compatible API. Whether the underlying service comes from Tencent Cloud, DeepSeek, or Baidu Cloud, developers can switch models without rebuilding their integration.
Support across the full delivery journey
From model selection and scenario matching to solution design, implementation, and outcome tracking, we help teams move beyond access and put AI to work in their business.
A practical local AI development toolkit
For organizations with sensitive data or private deployment needs, our local toolkit supports knowledge-base Q&A, agent development, and workflow orchestration while keeping data on local infrastructure.
Built for China and regional growth
TokenLat serves businesses and developers in China while extending the same delivery capabilities across Southeast Asia. Our Malaysia presence and local channels help support both expanding Chinese companies and local teams.
Compliance and security
Security is not something we bolt on later. It is part of the platform itself.
TokenLat has completed the required ICP and public-network security registrations in China. For overseas services, we use Singapore-based infrastructure and follow PDPA data-protection requirements.
Our security approach grows from the group’s long-standing experience in data and network security. The platform architecture follows the standards used when serving government and enterprise organizations, giving security-conscious teams a more dependable path to AI adoption.
China compliance registrationsSingapore infrastructurePDPA data protectionSecurity-first foundation
AI that works
beyond the API.
AI models are no longer scarce. What remains scarce is the ability to turn them into real value. TokenLat aims to become the infrastructure through which AI capabilities can move freely, helping every business cross the final gap between connection and implementation.
Low Latency. Wide Latitude. Lathed for Action.Fast response · Wide compatibility · Ready to use