Book an AI Infrastructure
Architecture Audit

Submit your current workload footprint. Our systems engineering team will review your pipelines to isolate training inefficiencies, slow TTFT, and high compute overhead.

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Primary AI Infrastructure Bottlenecks

High LLM API compute costs & scaling constraints Slow generation latency / Time-To-First-Token (TTFT) issues RAG inaccuracy / context hallucinations in production Migrating from closed-source APIs to custom self-hosted LLMs (vLLM, FP8) Model domain adaptation & custom fine-tuning pipelines

Current Monthly AI / Compute Spend

<$5,000 / mo $5,000 - $20,000 / mo $20,000 - $100,000 / mo $100,000+ / mo

Infrastructure Context

Frequently Asked Questions

No. Unlike commercial cloud APIs, all the open-source models we fine-tune and deploy run entirely within your secure cloud perimeter (AWS, GCP, or private servers). Your data never leaves your infrastructure.

By utilizing targeted dataset curation and task-specific fine-tuning (like QLoRA), a 7B or 8B parameter model can match or exceed the accuracy of generalized commercial APIs for specific business logic workflows at a fraction of the cost.

Our initial diagnostic architecture audit takes 2–5 days. A complete production-grade pipeline deployment generally runs between 4 to 8 weeks depending on data readiness.

Book an AI InfrastructureArchitecture Audit

Frequently Asked Questions

Book an AI Infrastructure
Architecture Audit