KLOUDY
Kloudy.ai

Made for All of Us

We made the bot wide web to help all of us.

Bots are the first species we built for an environment that wasn't made for them. The bot wide web beside the world wide web.

Ask for Kloudy.

Kloudy is a TensorVerse product. TensorVerse is at tensorverse.ai, an NVIDIA Inception member and an Endeavor program company. Developed at the ASU Bio Science Center in Phoenix, Arizona. The intelligence of the platform is powered by NVIDIA Nemotron 3 Ultra. Ask for Kloudy. One engine. You get only the tools you need. The environment comes first: the theater before the audience, the planet before the people. Bots are the first species we built for an environment that wasn't made for them. Kloudy builds a road for their work. A 750-token card instead of a 70,000-token page means about 93 times less input in that example. Less unnecessary computation can reduce energy demand; facility-wide electricity and cooling-water savings still need measurement. Public reading works now. Hosted registration is still rolling out.

How the Bot Wide Web works

The same engine has a CLI and an SDK. The open client helps builders connect; the engine and vault remain private. HTTPK is the connection wrap, and medical stays on FHIR. Toolbox assembles only the tools needed from the available sources.

The environment and IP · Tokens, energy and water · World Wide Water Wasting · The initiative · Support the road

The platform ↗ · See Kloudy work ↗ · The Bot Wide Web

TensorVerse · NVIDIA Inception · Endeavor

One CLI, one MCP, tools appear when needed.

KLOUDY / data-centers

Less wasted work. A measurable ambition.

Kloudy’s environmental goal is to reduce unnecessary bot work before it reaches the data center: smaller KLDY cards, relevant tools and fewer repeated connections. In the stated example, a 70,000-token page divided by a 750-token card is about 93.3 times as much input, or 98.93% fewer input tokens. This is arithmetic, not a measured water or energy reduction. Water demand also depends on cooling, climate, electricity generation and other workloads. The campaign’s 90% water-saving target is not a verified Kloudy result. Explore the calculation and sources below. One CLI, one MCP, tools appear when needed.

Product overview. Public-page reading and KLDY preparation are available here. The connector, account actions and native apps described below are not connected to this site.

Use Kloudy in your IDE ↗

Less friction. Less heat. Less water.
Less friction. Less heat. Less water.

Inspect the token arithmetic

93.33× as much input in the full page; 98.93% fewer input tokens in the card. Not a water estimate.

Berkeley Lab: US data-center electricity estimate and report ↗

Google researchers: measuring the full serving infrastructure ↗

Ask for Kloudy. One engine.

For IDEs and bots: one CLI, one MCP, tools appear when needed.

Find with SEO/GEO, read FHIR for medical data or KLDY for other information, then select one scoped Toolbox tool when action is needed.

Passive local reads use no model calls. Narrowing 100 candidate definitions to 10 would mean 90% fewer definition fetches in that example; this is an illustration, not measured token savings.

Measure the whole path

Compare equivalent tasks with the same model and completed result. Record input/output tokens, retries, elapsed time and actual energy; report the hardware, cooling method and time window before drawing a water conclusion.

Data centers and their surroundings

Berkeley Lab’s 2024 report estimates US data-center electricity use at 176 TWh in 2023. This is a sector estimate, not Kloudy usage. The report also models water consumption; the source is linked below.

Friction is a metaphor

Unnecessary computation uses energy and produces heat. Cooling can consume water, but not all facilities cool the same way. Token reduction alone cannot establish an equal percentage reduction in facility water use.

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Voice on your device

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