Why koii
koii remembers useful context, routes each task to the lightest model that can finish it, and keeps more work local when possible. Less repeated context. Fewer wasted runs. More finished work.
local first • cloud when needed • user-approved • context stays close
The problem
Every repeated prompt, pasted screenshot, rebuilt brief, and oversized model call adds friction for the user and load for the machine. Most tools treat every ask like it needs the biggest engine in the room.
koii starts smaller. It keeps context close, remembers what matters, and only reaches for more horsepower when the job needs it.
The same tabs, notes, screenshots, and files get rebuilt again and again.
Simple tasks often get sent to models larger than the work requires.
Compute feels invisible, but it still uses electricity, cooling, infrastructure, and water.
The facts
415 TWh
Estimated global data center electricity use in 2024
About 1.5% of global electricity consumption.
Source: International Energy Agency · Energy and AI~950 TWh
Projected global data center electricity use by 2030
IEA projects data center demand could roughly double by 2030.
Source: IEA · Key Questions on Energy and AI4B people
Face high water stress at least one month per year
Water pressure is local. Data center placement, cooling design, and power sources matter.
Source: World Resources Institute · AqueductWhy water matters
Data centers may use water directly for cooling. They can also be connected to water indirectly through the electricity used to power them. That means the same model call can have a different footprint depending on where it runs, how the data center is cooled, and what powers the grid.
The point is not to stop using powerful models. The point is to stop using them when a lighter one would do.
Smarter routing does not remove impact. It makes each run more intentional.
Framing informed by Making AI Less Thirsty (Li et al., 2023) on the water footprint of AI models.
The koii way
koii remembers useful work so you do not rebuild the same prompt twice.
Small local models handle lighter tasks when they can.
Bigger models are reserved for work that actually needs more horsepower.
koii drafts, researches, and helps. You decide what ships.
Your pond
As koii learns your workflow, your pond can show what was reused, what ran locally, what needed the cloud, and where time was saved.
Pond · this week
Mock previewContext reused
128 items
Local runs
312
Cloud runs
47
Estimated credits saved
~1,140
Estimate
Estimated kWh avoided
~2.4 kWh
Estimate
Estimated water avoided
~9 L
Estimate
Estimates improve as routing data gets more precise. kWh measures energy used over time; kW measures power draw at a moment.
A different default
koii is for people who want sharper tools, calmer work, and smarter defaults. Not less ambition. Less waste around the ambition.
Better work should not require the heaviest machine every time.
Try the full pond for 10 days. Keep the local models. Upgrade when you want smarter routing, bigger lifts, and the full school of agents.
After 10 days, premium routing is $19/month. Local models stay yours.