Frontier agents. Local, airgapped AI.
Banks, insurers, and law firms need AI most and can use it least: the data cannot leave the building, and the regulator demands proof the cloud cannot give. Antloom runs frontier class agents entirely inside your walls: nothing leaves, and every decision has a paper trail.
The problem
They need AI most and can use it least.
Your data cannot leave. The cloud cannot show its work.
GDPR
The data cannot leave
Client files under privilege, bank secrecy, patient records, deal terms: the data that runs your business is the data that may not cross the wall. Every cloud AI is a processor chain and a transfer you must paper, police, and answer for.
EU AI ACT
The AI Act is in force
Since August 2026 the high risk duties are live: logs you must keep, human oversight you must staff, technical documentation you must produce, penalties in the millions. Credit scoring, insurance pricing, and candidate screening are all on the list.
AUDIT
The cloud cannot show its work
You hold the obligations; the vendor holds the logs. A black box in someone else’s building cannot be replayed, so it cannot be audited, and when the regulator asks, prompts and hope are not a control.
The insight
Dozens of small, open models. One reliable answer.
Open weight models caught up: they run on hardware you already own, and coordinated they match the giants on real work. Antloom weaves them into swarms: many small models reading the same evidence under different lenses, cross checking each other, and voting. A deterministic tally seals every decision.
A few local models take a little longer than a giant cloud, and that is fine. The brief is ready at sunrise; the contract review is on your desk by morning. No meter running, no data leaving the room.
And when there is hardware to spare, the same swarm runs wide: distributed across your machines, a dozen agents run side by side.
More machines, faster answers.
The same thirty agents, two ways to run them
One machine · in sequence
Each agent must wait for the one before it. About 30 seconds per agent, thirty agents in a row.
reading · one agent at a time, the rest waitreviewers voting · one at a timesenior model weaving the answeranswer ready
one job · minutes
Your machines · distributed
Every agent works at the same time, each on a different machine. Only the senior model’s final read adds time.
all 24 reading at once5 reviewers votingsenior model weaving the answeranswer ready · next job starts
about half a minute per job · ten jobs done in the time above
The product
Chatting with a model
You prompt, it replies, you do the rest. One model, one pass: no tools, no view of your files, no check on whether the answer is right.
An Antloom app
A swarm reads your data, uses tools, critiques and verifies its own work, and hands you the finished result: the fixed codebase, the marked up contract, the morning brief.
Describe it in plain language
The builder interrogates the spec
A working app: a graph of readable agents
Runs locally · recorded · replayable
Describe an app. Get a working swarm you own as files.
Finance
Customer file assembly
Evidence gathered from your systems into a complete, auditable file.
Transaction monitoring
Agents watch the stream and escalate with the trail attached.
Invoice & expense audit
Every claim checked against policy, every check replayable.
Legal
Contract review
Twenty agents read the contract in parallel, clauses, precedents, obligations, and return one marked up answer.
Document review
Whole data rooms read overnight, findings anchored to sources.
Compliance
Multi system audit
Agents walk your systems end to end; every step is logged and replayable.
Human resources
Candidate screening
Every application read in full, scored against your criteria, with the reasoning attached.
Onboarding & policy answers
New hires and old questions answered from your own documents.
Executive
The morning brief
The swarm reads every tool overnight, mail, tickets, pipeline, calendar, and delivers one two minute brief at sunrise. Nothing leaves the building.
Programming
A Claude Code class coding assistant on your own machines. No code leaves the room.
Writing
Up to 20 agents read an entire draft in parallel, arc, timeline, voice, and weave one editorial answer in about 30 seconds.
Apps are plain files: portable, diffable, reviewable in a pull request. Yours.
Antloom for business
The identical platform, airgapped.
Everything above, deployed inside your organization: licensed, supported, certified, fully offline. Private app store, collaboration, run history and sync, identity. And your data never leaves the building.
Runs fully offline
No internet required. The airgap is real.
Every run replayable
The paper trail is built in.
Free, open weight models
Running locally. No meter.
Agents as plain files
Read them, diff them, own them.
Built for banks, insurers, law firms, and every organization whose data is the business.
What the regulator asks · what the system answers:
Keep logs of every run
Every run is recorded on your hardware and replayable, for as long as you choose.
Show human oversight
Human decision nodes are built into the apps; your people approve, on a system they can read.
Produce technical documentation
Agents are plain files; the system is its own documentation.
Justify every transfer
There is none. Nothing leaves the building; there is no processor.
Map your ICT third parties
The AI path has no third party.
Antloom for everyone
The same Antloom, free at home.
The Antloom app is the consumer side of the same platform: easy to install, easy to use. A chat interface, the expert built apps from the store, and AI powered search across everything on your own machine, combining retrieval augmented generation with cache augmented generation, so answers come from your own files and never leave your device.
Everyone who runs the free app adds idle compute to a planetary mesh and draws on it when needed: free apps for everyone, built by experts who know their field. No token, no wallet, no staking.
And the planet
The same mesh runs a free crop advisory for the people farming the world’s smallholder farms: satellite and weather data and a farmer’s own photos, woven into advice about their actual fields, at no cost. A farmer’s question can wait an hour; compute nobody was using serves people the cloud never reached.
Bring the loom inside your walls
info@antloom.comFor organizations ready to talk about an airgapped deployment, for experts who want to build an app, and for anyone who wants their devices on the mesh.