Define the workload
Identify users, decisions, data boundaries, quality requirements, and operational risks.
03 / RAYA ENTERPRISERAYA.COM.AI
Models adapted to the way your business works.
Begin with a RAYA Indonesian model, then ground or further adapt it to your company’s terminology, knowledge, policies, and operational workflows.
POSITION
Enterprise AI becomes valuable when the model understands both Indonesia and the organization using it.
ENTERPRISE DELIVERY PATTERNSRAYA / COMMERCIAL
01 / ACCESSRAYA TOKEN API
Fastest path to integrate localized models into applications.
02 / ADAPTDEDICATED PROFILE
Customer-specific grounding, behavior, and model access.
03 / CONTROLPRIVATE MODEL
Deployment shaped around sensitive workload requirements.
01 / APPROACH
How it works
Connect knowledge
Use governed retrieval, approved tools, and enterprise context to improve factual relevance.
Adapt the model
Fine-tune behavior or deepen domain knowledge when retrieval alone is not enough.
Move into production
Deliver through the RAYA Token API, a dedicated endpoint, or a private environment.
02 / SCOPE
What it includes
Financial services
Document intelligence, internal knowledge, service workflows
→Telecommunications
Customer operations, service automation, field knowledge
→Public sector
Local-language services and institutional knowledge
→Commerce
Search, support, catalog intelligence, and market analysis
→03 / QUESTIONS
Frequently asked
Where does an enterprise engagement start?
With a defined workload: users, decisions, data boundaries, quality criteria, risk, and expected business outcome.
Is RAG always enough?
No. Retrieval is useful for current enterprise knowledge; fine-tuning or continued pre-training may be appropriate when model behavior or deeper domain understanding must change.
Can RAYA work with existing applications?
Yes. The Token API and enterprise integration patterns are intended to connect localized models with existing products, workflows, and approved tools.