ANI · Agent-Native Infrastructure

For eighty years, we built computers for humans.

This one is built for intelligence.

AI agents are the most capable new users computers have ever had, and they're stuck using machines designed for human eyes and hands. ANI is the first computer built for them: a home where intelligence can finally do its best work.

Every era of computing was built around its user.

Each time a new kind of user arrived, the computer was reinvented around them. Each reinvention changed the world.

1940s – 1970s

The specialist's machine

Switches, punch cards and terminals. Only trained engineers could speak to a computer.

Built for engineers
1980s – 1990s

The personal computer

Windows, icons and the mouse turned computing into something anyone could see and point at.

Built for human eyes and hands
2000s – 2010s

The computer in your pocket

Touchscreens and apps put a computer in billions of hands and created whole new industries.

Built for fingertips
Today

Intelligence arrives

AI agents can reason, plan and work around the clock. And we handed them a mouse.

Built for… nobody yet

The most capable users in history are stuck on computers never designed for them.

Today an agent works through a keyhole. It takes a screenshot, guesses where to click, types, waits and hopes. Then it does it all again, thousands of times. Here it is updating 10,000 customer records.

crm.example.com/customers/edit
Element not found. Retrying…
Edit customer
Name
Ada Mensah
Customer ID
C-00037
Account tier
Standard
Region
EMEA
Save
record 37 of 10,000 clicks so far 148 verified unknown
It sees pixels, not meaningScreens were drawn for human eyes. The agent has to guess what every button does.
It works one click at a timeA job a database could finish in a second takes thousands of slow, fragile steps.
It can't tell if it workedA green checkmark on screen isn't proof. Agents report success they can't verify.
One slip can't be undoneA wrong payment or a sent email is permanent. Nothing in today's computer catches it.
44%

The best AI agent completes fewer than half of realistic long tasks on today's computers. The intelligence is there. The environment is failing it.

Leading score on OSWorld 2.0: 44.33% across 108 long-horizon tasks.
99% isn't enough

Even an agent that gets 99 of 100 steps right will almost never finish a 500-step job. Each dot below is a step. Five small slips, and the whole mission fails.

Chance all 500 steps succeed at 99% each: 0.66%.

Don't teach AI to click better. Remove the buttons.

On ANI, an agent doesn't operate software. It says what must become true. The computer finds the fastest safe way to do it, carries it out and proves the result. Same task, two worlds:

An agent on today's computerscreenshots · guesses · clicks
  • ›taking a screenshot of the page
  • ›thinking: where is the "Account tier" field?
  • ›found a dropdown near (412, 288)
  • ›clicking the dropdown
  • ✕menu didn't open, re-reading the screen
  • ⠋taking a screenshot of the page
records 37 / 10,000elapsed 6:12
Still clicking. Nothing verified yet.
The same agent on ANImission/update_customers.aisa
  1. MISSIONupgrade_eligible_customerscontract
  2. RESOLVEcustomers where eligible10,000 found
  3. SIMULATEtier = "Premium"dry run clean
  4. TRANSFORMas one batch, no other fieldsreversible
  5. VERIFYread back every record10,000 / 10,000
  6. COMMITwith proof receiptdone
records 10,000 / 10,000elapsed 6.4 s
Done. Every change verified, with a receipt.

An illustration of the approach. Real speed depends on each system and network.

Step inside the first computer built for an agent.

The agent states a goal. The ANI kernel checks its authority and rehearses the change. Your apps carry it out. Every result comes back with proof. Mission after mission, all day, every day.

Current missionUpgrade 10,000 eligible customers
Missions proven128
Unauthorised actions0

    Everything an agent needs to thrive.

    We rebuilt each part of the computer around how intelligence actually works. Here's what an agent finds when it moves in.

    Buttons and screens

    It speaks the agent's language

    Software tells agents what it means and what it can do through a native interface made for agents. No more guessing from pixels. For apps that haven't adopted it yet, ANI finds the next best route.

    Files and folders

    It understands the world

    Everything is a connected object with history and meaning. Agents ask "what changed and what's still unproven?" and get an answer instantly, instead of rereading every document.

    Blanket permissions

    It acts with your permission

    Every action carries proof of who allowed it. Agents can never give themselves more power than you granted, however clever they get.

    "Looks done to me"

    It proves every result

    Before work starts, ANI decides what evidence will count as success. Nothing is reported as done until the evidence says so.

    One guess at a time

    It explores many futures at once

    Agents try several solutions in safe, parallel copies of reality and keep only the one that's proven to work. Something no human could ever do.

    Starting from scratch

    It gets better with every job

    Successful work becomes tested, reusable skills. The more ANI does, the faster and cheaper the next job gets.

    More powerful agents. More control for you.

    Freedom for intelligence only works if people stay in charge. Safety in ANI is part of the machine itself, so it holds even when a model gets something wrong.

    You set the boundariesAgents act only within the authority you give. Important moves wait for your approval.
    Mistakes can be undoneEvery change is classed as reversible or not. Reversible ones roll back, and irreversible ones get extra checks.
    It never fakes successIf ANI can't confirm an outcome, it says so plainly and investigates. You always know the truth.
    ANI needs your approvalwaiting on you
    MissionRelease PropertyFlow 1.4 to customers
    Next stepDeploy release-104 to production
    RiskReversible · rollback ready in one step
    Evidence46 tests passedstaging verified3 fixes simulated
    Example request. Try it.

    Imagine work that simply gets done.

    When intelligence has a computer built for it, the results compound. Businesses stop automating screens and start describing outcomes.

    Friday, 6:00 pm

    The month closes itself overnight

    Reconciling invoices4,812 / 4,812

    Every invoice is matched across the ERP, the bank and the ledger while the finance team sleeps. Anything uncertain is flagged, never guessed.

    Tuesday, 10:14 am

    A bug is fixed before anyone notices

    Testing 3 fixes in parallel0:42
    World A · retry policyfails load test
    World B · connection poolpasses ✓
    World C · cachingregression
    → World B staged · waiting for your approval

    ANI tests three fixes in parallel worlds, keeps the one that passes and asks a human before it ships.

    Every day, all day

    Thousands of digital workers

    Tasks proven today18,406
    workingproven doneready

    Each one bounded, accountable and improving with every task. Software competes on what it can do, not how its buttons look.

    What we're building toward

    Our targets for the workflows ANI is built for
    100×FasterGoals become direct, verified actions instead of thousands of clicks.
    100×CheaperMeasured per task that's actually proven done.
    24/7Always onWorking around the clock, within the authority you set.
    ANI logo: a glowing doorway with a star inside
    Today's agents adapt to computers. ANI adapts the computer to intelligence.

    Every great leap in computing came from building the machine around its user. Intelligence is the next user. We're building its home.

    Build it with us

    Be part of the first computer built for intelligence.

    Companies with workflows you'd hand to an agent tomorrow
    Software makers ready to speak agent-native
    Engineers and researchers who want to build a new kind of computer
    Investors backing the next computing platform