EIDVAR
EIDVAR does the daily work of a business inside limits you set. Every claim carries its evidence. Every action passes a kernel the model cannot override.
- Evidence-checked decisions
- Spend caps and approval lines
- Never holds your money
Aperiant · Autonomous AI systems
Intelligencethat acts.
Aperiant builds AI systems that carry real work from objective to outcome: research, operations, decisions. Boundaries are enforced in code, and every claim is checked against reality.
01 · Vision
Software that answers was step one. Next is software that acts.
The next leap in AI is not a smarter chat window. It is systems that carry an objective into the real world and stay accountable while they do.
That takes more than a model. It takes boundaries the model cannot cross, evidence for every claim, and a person who stays in charge of the decisions that matter.
Proof over claims
A forecast is a guess until reality confirms it. Our systems test small, measure, then decide.
Boundaries first
Limits live in code, outside the model. No prompt can talk a system past them.
Autonomy is earned
We claim only what we can measure. A system gains autonomy as the evidence grows.
02 · Products
Systems we are building.
Our products put these principles into practice. Each one is built in the open about what it can and cannot do yet.
Next system
More autonomous systems are in research at Aperiant. We will share them when there is something real to show.
03 · Solutions
Put autonomous AI to work in your organisation.
The same principles that shape our products, applied to your problems.
- 01
Custom AI agents
Agents designed around your operations. They research, draft, decide within policy and act through your tools, with approvals where you want them.
- Agent design and guardrails
- Tool and data connections
- Human-in-the-loop controls
- 02
AI integration & automation
Connect models to the systems you already run, and automate the repetitive work between your tools, data and teams.
- Workflow automation
- Data and API integration
- Monitoring and evaluation
- 03
AI strategy & consulting
Find where autonomy pays off, what it should never touch, and how to roll it out safely.
- Opportunity assessment
- Risk and boundary design
- Roadmap and build plan
- 04
Research partnerships
Work with us on open problems in autonomous systems: evaluation, safety kernels and agent architectures.
- Joint R&D
- Prototypes and experiments
- Shared findings
04 · How we work
From a question to a working system.
- 01
Discover
We map the work, the data and the limits that matter to you.
- 02
Design
Agents, guardrails and approval lines, agreed before anything is built.
- 03
Build
Small, measurable releases connected to your real tools.
- 04
Operate
We measure what the system really does and improve it on evidence.
05 · Team
The people behind Aperiant.
A small team you can reach directly. Write to whoever is closest to your question, or use the form below.
Milán Kassai
Product & Technology
Leads what Aperiant builds: EIDVAR, the architecture behind our systems and the safety boundaries they run inside.
Write to Milán Kassai: milan.kassai@aperiant.orgContact for
- Products and EIDVAR
- Technical questions
- Research partnerships
Márk Kovács
Partnerships & Solutions
Leads our work with clients and partners: scoping projects, shaping engagements and making sure each one starts with a measurable first step.
Write to Márk Kovács: mark.kovacs@aperiant.orgContact for
- Client projects
- AI strategy and consulting
- Partnerships and press
General enquiries
Anything else, and every message sent through the form, arrives here.
hello@aperiant.org
06 · Contact
Tell us what you want to put to work.
Share a little about your project or question. We read every message and will get back to you.
Prefer email? Write to hello@aperiant.org
- 01We read your message
- 02We reply to set up a short call
- 03We propose a first, measurable step