Reduce AI costs by 20–50%
No rebuilds, no changes to your stack.
Calculate your savings.
Four ways to see your savings.
Instant calculator
Enter a few numbers, get an estimated savings range immediately. Top-of-funnel sanity check.
Estimate savings ›Custom analysis
Share your AI invoice or usage logs. We send back a tailored savings estimate within one business day.
Request analysis ›7-day shadow trial
Point a slice of real traffic at Tokani in observe-only mode. After a week, you get a report with real numbers.
Paid pilot
30-day pilot. Savings hit your provider bill from day one. Save more, pay less.
Three promises.
Zero asterisks.
Most AI-cost tools ask you to rebuild, hand over your prompts, or trust a black box. Tokani doesn't.
We never persist your prompts or responses.
Your content is processed in-memory and discarded. Nothing about it lands in our durable storage.
We never train on your data.
Not for our systems, not for our upstream providers, not for anyone else. Your traffic is yours.
Your data never crosses tenant boundaries.
Every record and retained signal is scoped to your tenant at the data layer — a structural property, not a setting you can flip.
Save more, pay less.
$1,000/mo platform and operations fee with a sliding share of verified savings — 25% on the first $50k saved, 20% to $200k, 15% to $1M, 10% above.
Cutting costs. Cutting emissions.
AI is a real resource draw — electricity, water, and the carbon that comes with them. Running leaner on AI means consuming less of all three. We don't lead with this on the sales call, but as global compute demand keeps climbing, it matters.
Lower energy draw
Lowering your AI bill directly lowers the electricity your workload pulls from the grid.
Less water for cooling
Hyperscale datacenters are major water consumers. Lighter demand means less cooling demand.
Smaller footprint
Same business outcomes, materially smaller resource draw. A quiet contribution to the global picture.