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B2B SaaS · Series-D Software Platform

Full-lifecycle LLM Ops that cut model TCO by over 70%

2 months
to production, from 15
>70%
lower model TCO
sub-second
inference latency

The Challenge

A proprietary foundation-model initiative carried an unsustainable total cost of ownership and a 15-month projected timeline to production.

Sensitive training data could never leave the customer's security boundary.

Our Approach

Fine-tuned inside the customer's secure VPC, then built a distillation cascade so a smaller, cheaper model served the bulk of traffic at target quality.

Optimized serving with quantization and low-latency edge inference, with full observability into token usage and GPU efficiency.

They turned a research project that was bleeding budget into a production system with a cost curve we can actually defend to the board.

CTO

Capabilities Deployed

LLM OpsFine-tuningDistillationQuantizationEdge Inference

Illustrative engagement. The client is an anonymized industry archetype and figures reflect typical outcomes and published industry benchmarks.

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