ARROWSENSE
Core AI Foundation

AI Infrastructure Services

Provide an enterprise AI foundation including model access, inference routing, evaluation, and operations governance.

Structured Delivery

Measurable Outcomes

AI Infrastructure Services illustration

Typical Use Cases

  • Unified multi-model gateway and routing
  • Prompt version control and rollback
  • Joint monitoring of quality and cost

Execution Approach

  • Build a unified model gateway with multi-model orchestration
  • Define quality, latency, and cost evaluation framework
  • Ensure stability via alerts and gradual rollout mechanisms

Deliverables Matrix

Model gateway and routing strategy
Evaluation metrics framework
Runtime monitoring and operations panel
Prompt and version management

Implementation Timeline

  1. 1Weeks 2-3: architecture and model onboarding
  2. 2Weeks 3-5: evaluation and observability setup
  3. 3Weeks 5-6: reliability governance and staged release

Key Metrics (KPI)

  • Request success rate uplift
  • Average latency reduction
  • Cost per task optimization

Business Value

Shift AI from one-off delivery to continuously evolving infrastructure capability.