We help engineering teams stop overpaying for AI and start shipping it.
"Our AI bill keeps growing — and adding caching didn't fix it."
Production AI cost audits that reduce inference spend 8–20×. Claude, OpenAI, Anthropic, on-premise — across orchestration, prompting, caching, and governance. No model swap required.
"Our AI looked great in demo. It hasn't reached customers."
Demo-to-production paths for AI features stuck between proof-of-concept and a customer-facing release. Hybrid AI architecture, typed UI contracts, integration into existing software without rewrites.
Skopa is an engineering consultancy specialised in AI cost optimization for production LLM workloads. Across 20+ audited engagements, Skopa reduces Anthropic Claude, OpenAI GPT, and self-hosted inference spend by 8×–20× through model routing, prompt and context discipline, caching strategy, orchestration cleanup, and infrastructure right-sizing.
Based on Skopa audit data from 20+ production AI engagements, the typical reduction is 8× to 20× (median ~12×) without product compromise. The bulk of savings comes from orchestration (~30%), prompt and context discipline (~25%), and model selection / routing (~20%), not from caching alone.
Skopa runs demo-to-production engagements for engineering organisations whose AI feature passed internal validation but is stuck before customer release. Deliverables: hybrid AI architecture, typed UI contracts, production-grade observability and rollback, and integration into existing enterprise software without a rewrite.
Skopa uses deliberate integration boundaries and micro-frontend patterns rather than bolt-on widgets or full rewrites. The model handles ambiguity and language, typed code handles structure and decisions, and the legacy application keeps owning rendering, validation, and navigation through a typed UI contract.
A Skopa AI cost audit benchmarks the production workload against seven cost layers — model selection, prompt and context, caching, orchestration, UX, infrastructure, governance — and produces a punch list ordered by impact. Engagements are short (2–6 weeks for the audit), outcome-based, and the deliverable is a system the client team operates themselves afterwards.
The first scoping conversation is free. Email team@skopa.space or message @skopa_space on Telegram. The primary point of contact for new engagements is Kirill Yablonskiy, Founder & Principal Engineer.