LLM CFO finds, cuts and keeps your LLM savings. Tidal Audit shows where the money goes, free. We then make the changes through Tidal Gateway, a LiteLLM gateway we deploy and operate in your cloud, and prove the result with Tidal Telemetry, reconciled to your raw provider invoices. You pay a flat 20% of the savings we verify, and nothing else.
Tidal Telemetry gives engineering teams an observability view across model usage: token usage and estimated cost, latency, and traces in one place.
Send OpenTelemetry data over OTLP; connect AI coding agents through the hosted MCP server.
We're an early-stage service taking our first cohort. These are targets sourced from public benchmarks and our own engineering work — not customer claims.
Architecture-dependent. Confirmed against your invoices at audit.
Kickoff → first reconciled provider invoice.
Every change A/B tested 7 days minimum. Auto-rollback on regression.
Free. Then a flat 20% of verified savings; no savings, no fee.
Most engagements combine three or four of these. The audit tells us which dominate your spend surface.
Classify each request and route to the cheapest model that passes your quality bar. Reasoning goes to flagships; extraction and classification go to small fast models.
30–50%of lever scopeFingerprint prompts with embeddings and serve identical answers from sub-10ms cache. Similarity thresholds and invalidation tuned per feature.
20–40%of lever scopeAudit system prompts for redundancy. Deduplicate examples. Compress retrieved context with LLMLingua-style techniques. Every change A/B tested.
15–30%of lever scopeRoute background jobs to batch endpoints (up to 50% discount) with SLO-aware queueing for anything time-sensitive.
10–50%of lever scopeIdentical tasks often cost 2–3× more at one provider. We route by capability-per-dollar, not by the SDK your team happened to start with.
20–35%of lever scopeSmart retries and tiered fallbacks beat worst-case over-provisioning. Maintain SLO without paying flagship prices on every call.
5–15%of lever scopeEvery engagement follows the same four-phase shape. Most customers are on month-end reconciliation by week five.
Ingest invoices and gateway logs. Baseline locked and countersigned.
Optimizations ranked by dollar impact. Quality SLOs agreed per endpoint.
Feature-flagged through Tidal Gateway, tested 7 days vs. baseline, graduated to 100%.
Tidal Telemetry measures it; the Statement of Savings reconciles to raw provider invoices. Every month.
A report doesn't lower the bill. We implement the changes and operate them, so the fee comes out of money you were already overspending.
A read-only audit of your invoices and usage logs: where the spend sits, what to cut, and the expected savings. Our team runs it.
Request a free audit →A LiteLLM gateway we deploy and operate in your cloud: routing, fallbacks, caching, batching, per-team budgets and hard stops. Savings don't drift back as traffic and models change.
See how implementation works →Live cost by provider, model, feature, team and workflow: the evidence behind your monthly savings statement. A live trial at telemetry.llmcfo.com.
Explore Tidal Telemetry →A flat 20% of verified savings, Telemetry and Gateway operations included. No down payment, no minimum. No savings, no fee.
Read the pricing details →A flat 20% of verified savings, tied to your provider invoices, with Telemetry and Gateway operations included. No savings, no fee. No multi-year lock-ins.
Missing something? Write to hello@llmcfo.com — we respond within one business day.
Practical deep dives on AI cost monitoring, chargeback, governance, and agent spend control — written for finance and engineering leaders.
How to meter token usage accurately, allocate costs to customers, and invoice multi-tenant AI products.
Internal cost allocation methods, attribution dimensions, and how finance teams close the books on AI spend.
The FinOps Foundation framework adapted for LLMs: visibility, attribution, optimization, and accountability.
Per-feature, per-team, and per-customer token attribution across OpenAI, Anthropic, and Bedrock.
Real-time dashboards, anomaly detection, and alerting for production LLM spend.
Budgets, rate limits, and circuit breakers for autonomous agents that can loop and retry.
About a week. Read-only access. We return with a full map of your spend, ranked by waste, and a baseline we track against month over month. Free. No implementation commitment.