AI Optimization & FinOps Retainer
Slash Model Inference Costs by 40%–70% While Increasing Response Speed
Stop burning capital on unoptimized API tokens. We re-engineer your AI call patterns with intelligent hybrid routing, semantic caching, and local small-language models to maintain quality while cutting inference bills in half.
Phased Delivery & Scope Breakdown
Step 1: 48-Hour Token Audit & Waste Identification
Telemetry ingestion to identify oversized prompts, repetitive queries, and misallocated expensive models.
Step 2: Intelligent Routing & Semantic Cache Mesh
Deploying Langfuse/OpenTelemetry alongside Redis semantic caching and tier-based model fallbacks.
Step 3: Private Local Compute Offloading
Routing structured extraction and summarization to local Qwen 2.5 models on low-cost compute.
Assigned Engineering Team
Governance, IP & SLA Standards
Client Verifications & Engineering Outcomes
Real feedback from engineering leaders, CTOs, and founders across 15+ years of production deployments.
“Vijay and the SHIVAM ITCS AI team didn't just execute the project - they elevated our entire platform. Their ability to architect complex multi-agent state machines, eliminate latency bottlenecks, enforce zero-hallucination guardrails, and create an intelligent multi-LLM orchestration layer was extraordinary. The final delivery was resilient, battle-tested, and far beyond expectations. One of the strongest AI systems engineering teams in the industry.”
AI Optimization & FinOps Retainer - FAQ
Direct answers to architectural, technical, and operational questions.
Initiate AI Optimization & FinOps Retainer Engagement
Schedule a direct technical consultation with founders Vijay & Ajay Paliwal to finalize deliverables, sprints, and commencement dates.