From GPU infrastructure and model selection through to token-level cost optimization — we help any company get more from their AI investment. Whether you need a cost audit, a build partner, or an ongoing operations team, we own the full stack.
AI spend is largely invisible until it's out of control. We audit your full stack — from GPU utilization and inference infrastructure down to model choice and token consumption — and identify exactly where cost is being wasted and performance left on the table.
Engagements range from a focused cost and model-selection audit to a full AI architecture review. We give you a clear recommendation with benchmark evidence, not a slide deck full of options.
2–4 week sprint. Includes discovery workshops, technical deep-dives, and a written architecture decision record (ADR) you own permanently.
Any company — startup or enterprise — running AI workloads and looking to optimize cost, improve performance, or validate their architecture. Also teams inheriting a stack they didn't build who want an honest second opinion.
Fixed-fee engagements. Scope and investment discussed during a free 30-minute discovery call. We don't do T&M for advisory work — you know what you're buying before you sign.
A dedicated team of AI Architects and LLM Engineers embedded in your delivery rhythm. We scope, sprint, and ship — you own the IP, the code, and the infrastructure.
Pods are structured around your workstream, not ours. One Lead AI Architect, two to four engineers, and a shared Client Success Manager keeping delivery on track.
1 Lead AI Architect · 2–4 LLM/MLOps Engineers · 1 shared Client Success Manager. Structured around 2-week sprints with weekly founder-to-founder checkpoints.
Monthly retainer with defined sprint commitments. Minimum 3-month engagement. Transparent deliverables and exit criteria defined upfront — no open-ended scope.
All code, models, pipelines, and infrastructure configurations produced in your engagement are assigned to you on contract signing. No lock-in. No licensing fees.
AI isn't a one-time deployment. Models drift. Datasets evolve. New open-source releases outperform your current stack every six months. We keep your AI infrastructure current.
SLA-backed managed services covering everything from model performance monitoring to proactive retraining and infrastructure cost optimisation.
12-month contracts with quarterly performance reviews. Scope scales up or down based on your deployment footprint. No surprise charges.
Agreed uptime and response SLAs defined in your MSA. Breach penalties are real — we stand behind our commitments with financial accountability.
Most AI cost blowouts happen post-launch — model drift, inefficient inference, unmonitored GPU spend. Managed services keep you ahead of that curve instead of reacting to it.
Fixed fee. Your data. Side-by-side benchmarks. A production-ready deployment plan. Most clients sign their first full engagement the week after POC delivery.
Collect 200–500 production prompt/response pairs from your existing AI logs. Select model candidates. Design evaluation framework. Stand up infrastructure on your target platform.
Run side-by-side evaluation. Fine-tune if required. Produce interactive dashboard: accuracy, latency (p50/p95/p99), cost per 1K tokens, full TCO analysis. Deliver production migration plan.
DGX-Ready SI partner. GPU cluster architecture, CUDA optimisation, TensorRT deployment. We speak NVIDIA natively.
Professional Services Partner. MLflow, Unity Catalog, Mosaic AI. LLM fine-tuning and deployment on the Lakehouse.
Partner Connect certified. Cortex AI, Snowpark, vector search. RAG architectures on your existing Snowflake data estate.
Enterprise Partner. Open-source model deployment, fine-tuning, and evaluation. Access to the full HF Hub ecosystem.
Delivery partner for GPU cloud. H100 cluster provisioning, Kubernetes orchestration, and cost-optimised inference.
Cloud partner for EU and APAC deployments. Cost-effective GPU infrastructure for data-sovereign workloads.
30-minute call. We'll diagnose what you need — and what you don't.