Your environment. Your control.
Choose where your AI runs, which models it uses and how it accesses your information.
Deploy on your terms.
Choose where Syntel runs, and define how data, models and access are controlled.
Public or Private Cloud
Run Syntel in public or private cloud infrastructure, with the configuration shaped around your application and data requirements.
- Public or private cloud
- Agreed sources and permissions
- Selected for the task and environment
Make every boundary explicit.
Define the sources, authorized users and permitted actions before implementation.
- Sources
- What information can the application use?Agreed source scope and access paths
- People
- Who can see and use the results?Identity, permissions and review responsibilities
- Models
- What context reaches the model?Selected runtime and information flows
- Operations
- What happens after deployment?Refresh, retention, updates and support arrangements
Choose around the task.
Syntel products work with open-weight model families including Kimi, Qwen, DeepSeek and GLM. We select and adapt models around the task, data and environment.
- Kimi
- Qwen
- DeepSeek
- GLM
Model-family compatibility; configuration depends on the offering.
A configuration your team can inspect.
Bring architecture, information handling and operating responsibilities into one technical conversation.
- Environment
- Deployment, product version and approved dependencies
- Information
- Sources, flows, access and handling
- Models
- Selected models and runtime requirements
- Evidence
- Evaluation scope and review ownership
- Operations
- Updates, support and agreed responsibilities