Antloom core
The technology underneath the applications. See the applications
AI for individuals and organizations. AI that works for you. Data that stays with you.
Antloom runs AI on your own computer or inside your organization. It finds information in your files and explains complex documents. Your files do not need to be sent to a cloud AI service.
One contract · five readers · one answer you can act on
The same supplier contract read five ways. Four readers say sign. One finds the clause that would have cost you: the contract renews itself for three years unless you cancel six months early. The reviewers check it, the vote is counted, and the answer arrives with the clause attached.
reading · five readers on one contractone reader flags the renewal clausereviewers check the clause against the contractanswer ready · the small print did not get through
The challenges existed before AI. AI makes them impossible to ignore.
People and organizations have always needed to organize information, protect sensitive data, and decide whom they could trust with it. AI makes the same data risks larger and faster.
Analysis
Much more information can be analyzed at once.
Transfer
More sensitive files can be transferred through a simple prompt.
Influence
More decisions can be influenced by systems that are difficult to inspect.
One technology foundation. Two strictly separate editions.
For individuals
Find almost anything on your computer.
Use AI powered search to find and understand your own files. The application runs locally. Your documents stay on your device.
Free at home.
For organizations
Use advanced AI inside your own environment.
Run AI applications on computers you control, including computers disconnected from the internet. Each run can be recorded and replayed.
For individuals, privacy means using intelligent search without uploading personal files to an external platform. For organizations, sovereignty means retaining control over the data, infrastructure, applications, and execution history required to manage risk and demonstrate compliance.
The two editions remain completely separate. A business deployment never connects to the consumer computing network.
Many perspectives. One cross-checked result.
You get one result that several AI models have checked against each other. The models run on your own computers, each reads the same evidence with its own task, and every disagreement is checked against the evidence before the result is written. Each run can be recorded and examined afterwards.
AI should do more than talk.
You describe the result you need in plain language and get a working application that produces it. Antloom asks the questions needed to complete the specification, then builds the application from readable agents. It runs on your own computers, uses tools and checks its own work. The agents are stored as plain files your teams can read, compare and review.
Intelligence can remain private. Its benefits can still be shared.
With their users’ agreement, personal devices can contribute unused computing capacity to a distributed network. That capacity can support expert applications for people who would otherwise be unable to access them.
For individuals
You know the information is there. You just cannot find it.
Find almost anything. Keep everything private.
Documents accumulate across folders, formats, and years. You remember what you are looking for. You simply no longer know what the file was called, where it was saved, or which document contains the answer. Traditional search matches filenames and keywords, and misses files that use other words for the same thing.
AI powered search can understand what personal documents say. When it runs in the cloud, your documents may have to leave your computer to be analyzed. Antloom runs the search on your own computer.
Antloom for individuals combines:
Conversation
An easy to use conversational interface.
Search
AI powered search across your computer.
Look-up
It looks things up in your own files when you ask.
Read once
It reads your documents once and keeps what it learned on your machine.
Expert apps
Applications built by experts who understand their fields.
The application searches your own machine, and answers come from your own files.
Simple to install.
Nothing to configure.
Easy to use.
Ask a question as naturally as you would ask another person. Antloom searches across your files and helps you find the information you need.
Free at home.
Your computer becomes easier to search. Your personal information remains personal.
A separate edition. Antloom for individuals is built on the same technology as the business platform, and the two stay strictly separate.
Expert applications. Consumers can access applications created by experts who understand their fields. With the user’s agreement, the application can also contribute unused computing capacity to a distributed network and draw on the network when additional capacity is needed.
For organizations
Your people already use AI. Can you show where the data went?
Employees want to work faster. They may already be using external AI tools to analyze contracts, client files, financial information, or other confidential documents. The employee receives an immediate answer. The organization inherits the questions:
Where was the information processed?
On a server you do not own, possibly in a country you did not choose.
Which providers were involved?
A chain of outside companies you must contract with and monitor.
Who could access it?
The vendor, the outside companies it uses, and anyone they give access.
Was it retained?
You may not know, and you cannot delete what you cannot see.
How was the answer produced?
Often by one model in one pass, with no record of why.
Can the execution be reconstructed?
Often the vendor holds the logs, while the obligation stays with you.
Where did human oversight take place?
Often nowhere the regulator can point to.
The risks existed before AI.
Organizations have always needed to protect personal data, professional secrecy, intellectual property, and commercially sensitive information. They already needed to govern external providers, document important processes, and preserve evidence.
AI makes these risks larger because it can:
Volume
Process large volumes of sensitive information.
Transfer
Move information into an external processing chain through a simple prompt.
Conclusions
Generate conclusions and recommendations.
Decisions
Influence important business decisions.
Agents
Perform work through autonomous agents.
Executions
Multiply the number of automated executions.
Regulation requires accountability.
Regulation lets you use AI if you keep control and evidence.
GDPR
The accountability stays with you
The organization stays responsible for how personal data is used and must be able to show it (Article 5(2) of the GDPR). Every outside company that processes personal data for it must work under a contract that sets out how (Article 28(3)), and transfers outside the EU need safeguards (Chapter V). Using an outside AI service leaves that responsibility with the organization.
EU AI Act
The AI Act has a date
For high-risk AI systems the AI Act requires, among other things, automatic logging, technical documentation and human oversight. Annex III lists AI used to evaluate the creditworthiness of natural persons or establish their credit score, AI for risk assessment and pricing in life and health insurance, and AI for the recruitment or selection of natural persons. These rules apply to Annex III systems from 2 December 2027 (Article 113 of Regulation (EU) 2024/1689, as amended by Regulation (EU) 2026/1744).
Audit
The organization must be able to establish
What information was analyzed, which system and application were used, what result was produced, which human approvals occurred, and whether the execution can be reconstructed. When an external provider controls the platform and retains the logs, the organization may not hold all the evidence it needs.
The complete platform. Inside your organization.
Antloom for business is deployed on infrastructure controlled by your organization. It is licensed, supported, and able to operate fully offline.
Fully offline
Antloom runs without an internet connection, including on networks that are never connected to it.
AI models on your own computers
The models run on hardware you own, with no usage charges for models run locally.
Recorded and replayable executions
Every run can be recorded on your infrastructure and retained for as long as you choose.
Human oversight
Human decision points can be integrated directly into applications.
Readable applications
Agents are stored as plain files that your teams can read, compare, review, and document.
Private application store
Your organization can make approved applications available within its own environment.
Organizational access
Collaboration, identity, execution history, and synchronization within the deployment.
Controlled updates
Updates can arrive on a USB drive or a disc, and each update is checked to come from Antloom before it is installed. The previous version stays available, so you can go back to it.
Distributed execution
When more internal machines are available, multiple agents can work in parallel. More machines can provide faster answers.
More machines, faster answers.
A few local models take longer than a large cloud service. Work that can wait, such as a brief or a contract review, can run overnight on your own computers.
When more computers are free, the work spreads across them and many agents run side by side.
For illustration: the same thirty agents, two ways to run them
One machine · in sequence
Each agent waits for the one before it.
reading · one agent at a time, the rest waitreviewers voting · one at a timesenior model weaving the answeranswer ready
one job · about fifteen 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 a minute and a half per job · ten jobs done in the time above
What a regulator may ask, and what Antloom lets you show.
Can you provide the execution logs?
Each run can be recorded and replayed on your own hardware.
Where did human oversight occur?
Human approval points can be included directly in the application.
Can you document the system?
Agents are represented by readable and reviewable files.
Where was the data transferred?
When Antloom runs on your own computers, the data it processes is not sent to a cloud AI provider.
Which external AI service executed the application?
The models and agents can operate entirely on your own infrastructure.
Which outside technology suppliers must you register under DORA?
One arrangement, and it holds none of your data. There is no cloud AI provider and no chain of outside companies behind it.
Your regulatory responsibilities stay with you. Antloom gives you control over the system, its execution history and the evidence you need to govern it.
Built for banks, insurers, law firms, and every organization whose data is the business.
Satellite and ad hoc networks
Built for links that come and go.
Some networks are connected only part of the time. A satellite in low orbit reaches a ground station during scheduled contact windows. In mobile ad hoc networks, radios carried by people and vehicles form a network on the spot, with no fixed infrastructure, and the links change as they move. A cloud AI service needs a working path to its data center for every request.
Antloom does not need that path. The models run on the machine that holds the data, so the work goes on while a link is down, and each run can be recorded on that machine.
Machines find each other and the data through a distributed hash table over a peer-to-peer network, with no central server or directory to reach first. A machine that drops out of reach takes no central index down with it, because there is none.
Antloom does not route packets. It runs on top of whatever links the machines have, including a mesh that a mobile ad hoc routing protocol forms in the field.
How Antloom works
Many small models. One cross-checked result.
Antloom gives you one result that several AI models have checked. A team of AI models that run on your own computers works on one task: each model reads the same evidence through a different lens, the models compare and cross-check their findings, and they vote.
When one model finds something the others missed, that finding is checked against the original evidence. The check and the dissent stay in the execution history.
One contract. Five readers. One actionable answer.
The contract
Five models analyze the same supplier contract. Four conclude that it can be signed.
The finding
One identifies a clause automatically renewing the contract for three years unless it is canceled six months before the deadline.
The check
The reviewers return to the contract and verify the clause against the original text. The finding is confirmed.
The answer
A senior model prepares the final recommendation: sign after removing the renewal clause. The relevant clause is attached. The verification is recorded. The decision can be reviewed.
Watch it run at the top of the page. See the contract read five ways
Describe an application. Get a working team of AI agents you own.
- 1Describe the outcome. Explain in plain language what you want the application to produce.
- 2Complete the specification. The builder guides you through the questions needed to clarify the requirements.
- 3Receive a working application. Antloom creates a graph of readable agents working together.
- 4Run it locally. The application executes in your environment. Each run can be recorded and replayed.
Applications built this way
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
A team of AI models reads the contract in parallel (clauses, precedents, obligations) and returns one marked-up answer.
Document review
Whole data rooms read, with every finding tied to its source.
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 agents read your mail, tickets, sales pipeline and calendar overnight and deliver one short brief in the morning.
Programming
Coding assistant
A coding assistant that reads your code base, writes and tests a change, and reviews its own work on your own computers.
Writing
Up to 20 agents read an entire draft in parallel (arc, timeline, voice) and return one editorial answer.
Applications as files.
Readable
Your teams can inspect what the application does.
Portable
The application moves with you.
Comparable
They can compare versions and review changes.
Reviewable
Each change can be reviewed and approved before it is used.
Controlled
Controlled by their owner. The application is yours.
Chatting with a model
You write a prompt and one model replies in one pass. You check the answer and finish the work yourself.
Using an Antloom application
A team of AI models reads the data you allow, uses tools, checks its own work and cross-checks the result. It delivers a finished output: a corrected code base, an annotated contract, a completed morning brief.
The result is finished work you can check.
Our mission
Put unused computing capacity to useful work.
Most computers sit partly unused for hours each day. Many questions can wait for a reliable answer later that day, and that work can run on unused capacity spread across many devices.
With their users’ agreement, participating devices contribute capacity that is not currently being used. Together, these devices can support expert applications for people whom existing services have not reached.
One device joins. A planet answers.
Expertise for people who cannot otherwise access it.
A smallholder farmer may have no agronomist to call, and still has to decide when to irrigate, how to prepare for frost, when to harvest and how to respond to leaf rust.
The advice arrives on the farmer’s phone, free to the farmer, and an older phone can be enough. An agricultural advisory application combines expert agronomic knowledge with the farmer’s local experience and the information at hand: photographs supplied by the farmer, satellite data, weather forecasts, elevation data and soil data. Experts who understand the crop build the application, and the work runs on whichever devices are available at that moment.
In 2021 the FAO reported that five of every six farms in the world are smaller than two hectares, and that smallholder farmers produce around a third of the world’s food (FAO news release of 23 April 2021 on the study “Which farms feed the world and has farmland become more concentrated?”).
What the advice covers.
Irrigation
When to water, and when the soil still contains enough moisture.
Frost
A warning before the cold arrives.
Harvest
The period when the weather and the market align.
Leaf rust
What to do before the rain, and what not to spray.
Email us
info@antloom.com