Enterprise AI Infrastructure

Data Future

We help enterprises connect, govern and operate multiple AI models through a unified, secure and auditable infrastructure layer for DeepSeek, Qwen, Volcano Ark, Claude, OpenAI, Gemini and private models.

Multi-modelUnified access, routing and policies
GovernedPermissions, audit, risk and cost controls
Dual deliveryManaged cloud and private deployment
Enterprise engagementContracts, invoicing, procurement and ongoing service
Technical onboardingIntegration, migration, load testing and launch support
Production visibilityDashboards for calls, latency, errors and cost
Controlled data boundaryChoose managed delivery or isolated enterprise deployment
Why governance matters

Enterprise AI adoption is more than connecting model APIs.

When multiple teams, applications and models move into production, enterprises need a unified access, governance and audit layer to manage keys, permissions, usage, reliability and security boundaries.

01

Fragmented model suppliers

Teams may use domestic, overseas, private and vertical models at the same time, each with different protocols, controls and cost metrics.

02

Permissions and cost drift

API keys need to be assigned by team, project and environment while usage, tokens, budget and abnormal consumption are continuously tracked.

03

Production reliability pressure

Real business workflows need channel monitoring, failure tracking, fallback policies and dedicated support to reduce operational risk.

Platform capabilities

Turn multi-model access into enterprise AI infrastructure.

Data Future AI Gateway provides a common foundation for engineering teams, AI application teams, platform teams and SaaS providers.

View Product
Unified accessOne Base URL, authentication pattern and model calling convention for lower integration complexity.
Permission governanceSeparate keys, groups, quotas and access policies by team, project and environment.
Usage auditCapture calls, tokens, estimated cost, error codes and abnormal requests for internal reporting.
Reliability monitoringTrack channel availability, latency and error states for production troubleshooting.
Delivery models

Managed cloud, private deployment and custom integration.

Choose the right delivery path based on enterprise scale, data boundary and operational requirements.

Fast launch

Managed Cloud

For teams that need fast validation and production launch while Data Future maintains the platform environment and updates.

  • Dedicated tenant and base configuration
  • Technical support and launch assistance
  • Monthly or annual service engagement
Controlled environment

Private Deployment

For finance, public sector, education, healthcare and large SaaS organizations with strict data and integration requirements.

  • Deploy to enterprise cloud or servers
  • Integrate SSO, LDAP and internal gateways
  • Delivery documents, training and maintenance
Deep integration

Custom Solution

Adapt model channels, routing policies, approval flows, billing systems and audit requirements around existing business systems.

  • Custom model channels and routing policies
  • Business system and reporting integration
  • Migration, testing and launch assurance
Use cases

Bring AI capabilities into real business workflows with control.

Suitable for internal AI platforms, customer service, engineering copilots, knowledge base Q&A, AI SaaS, agent workflows and business systems that require model governance.

  • Centralize model calls for IDEs, agents and automation tasks.
  • Connect customer service, content generation and knowledge applications.
  • Provide measurable, auditable and operable AI capabilities for SaaS platforms.

Model and channel coverage

Availability depends on enterprise plan, region and compliance requirements.

DeepSeek Qwen Volcano Ark Claude OpenAI Gemini Private Models Industry Models
Enterprise plans

Designed for enterprise value delivery, not low-price self-serve resale.

Final pricing is based on usage scale, model scope, data boundary, integration requirements and support level.

Managed Cloud Business

HK$3,000 /month up
For fast team onboarding and production validation
  • Unified model access and key management
  • Usage statistics and basic monitoring
  • Email and online technical support
View Details

Private Deployment

Custom Quote
For strict data boundaries and internal deployment
  • Isolated deployment and environment adaptation
  • Internal systems, SSO and audit integration
  • Annual maintenance and upgrade support
Learn More
Contact us

Share your enterprise requirements.

Use this form for managed cloud, private deployment, model access, cost governance, migration testing and enterprise procurement discussions.

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