AI enterprise system The core behind every solution we ship.
One system carries the sign-in, the permissions, the audit trail, workflow and the AI for everything we ship. A new solution inherits all of it and focuses only on its own business logic.
An enterprise system designed for AI from the foundation up.
Omnicorn is a new generation of enterprise system. It was designed after AI changed what software can do, so AI sits in its foundation, not in an add-on.
The build is modern through and through: independent microservices in the back, modular micro-frontends on the screen, and one shared core for identity, permissions, the record, workflow and AI. Every solution we ship is a module on that core.
Enterprise architecture
A microservices backend and a micro-frontend application shell. Each module is built and deployed on its own, so one change never puts the whole system at risk. The same foundation scales from one organization to hundreds.
Multi-tenancy
One system, many organizations, and a database of its own for each. Your data is never one filter away from someone else's. The security is the same whether one tenant runs on top or a hundred.
Multi-modularity
Every solution ships as a module into the same system: same sign-in, same rules, same record. Adding one is an addition to what already runs, not a new system to introduce and integrate.
Security and access control
Access rules by organization, module and role. An audit trail nobody edits, verifiable end to end by your own auditors. Secrets in a vault, never in a browser or a log. Compliance is part of the foundation, not a feature added later.
AI-native architecture.
Every architectural decision in Omnicorn was made so that AI can work inside the system reliably: clean separation of concerns, standardized patterns, open foundations, no third-party black boxes.
That is what lets an agent act inside a business process the way a person does: with permissions, within boundaries, and with every step landing in the record. It is also why a new module arrives in weeks rather than years: the system was designed to be extended safely.
Systems designed before large language models existed cannot retrofit this. Their architectural choices locked in dependencies and patterns that AI cannot reason about reliably. That structural gap is what makes Omnicorn different.
Clean separation of concerns
Every service has a single responsibility, and modules consume services through defined contracts. A change in one place cannot quietly break another, and AI can reason about each part on its own.
Standardized patterns
Every module follows the same conventions for data, workflow, validation and access. What works in one module works in all of them, and an agent extends a pattern instead of inventing a new one.
Open foundations
PostgreSQL, RabbitMQ, .NET, Vue, S3-compatible storage, Kubernetes. Every dependency has a readable contract, and nothing proprietary hides logic from you or from the AI.
AI is opportunity. AI without control is a clear threat.
Omnicorn is built for the gap between.
AI is not only an IT story.
It is the fastest technology shift yet, and it is changing how work is done in every part of the organization. The advantage goes to the organizations that put it to work early, and under control.
Legacy systems cannot follow. They were built before AI-native architectures existed, and their limits are fixed by their own foundations: maintenance costs more every year, and a real upgrade means a rebuild.
Legacy systems vs. Omnicorn
Legacy systems
- Built before large language models existed
- An architecture AI cannot reason about
- Modernization requires rebuilding
- Maintenance cost grows over time
- Security and AI added as features, not foundations
- Years to deliver a new capability
- Premium-vendor licences built into the running cost
Omnicorn
- AI-native architecture from the start
- A foundation machines can read and extend
- Configuration over development
- Maintenance shrinks as modules share one core
- Compliance and AI control from day one
- Weeks to a working proof of concept. Months to production.
- No dependency on a premium vendor's licence
How it is built
Layer by layer, each replaceable on its own. A module is deployed without redeploying the rest, and the layer your business logic lives in is the only one that is yours to change.
AI does not sit in one layer. Agents work across modules and services, inside the same identity, access and audit context as everything else. A new business module inherits every layer under it on its first day, and never reimplements one.
Architecture decisions today determine what AI can do tomorrow.
What is inside
AI that does the work, under your permissions
Not an assistant sitting beside your data. Agents act inside your processes, hold permissions the way a person does, and answer for what they did.
AI agents in the process
They read documents, classify, extract data and propose the next step. An agent is only offered the tools the person asking is entitled to use. Models run through one provider layer, so the vendor is a setting.
AI Agent RuntimeReports on demand
Describe the report you need. An agent finds the data, does the calculation, and saves it as a recipe the next person runs again. The rendering itself is deterministic, so the same inputs always produce the same document. PDF, Excel or Word.
AI Report EngineDocuments from your records
Contracts, registers and management summaries built from the record, not retyped into it. Every generated file records who asked for it, which template ran, and which data it read.
The parts auditors ask about
The layer that usually takes years to build, and the first thing a supervisor wants to see.
Access and isolation
Access rules per organization, per module, per role. Your business data lives in a database of its own, one per organization. Not a shared table with a column for your name.
Workflow you can read
Approvals, routing and deadlines modeled in standard BPMN 2.0, so the model is the specification your analysts read and sign off. Changing an approval chain changes the model, not the code, and does not wait for a release.
Integrations
Connectors for the systems you already run: ERP, accounting, regulatory portals, messaging, file transfer. Every credential stays in a vault and never reaches a client, a log or a support ticket.
The services every solution inherits
Built once, shared by every module, governed by the same access rules and the same audit trail.
Workspace Drive
Files live inside the system: versions, sharing and access control per module and per role. Not a separate file platform with its own permissions to reconcile.
Knowledge base
Each organization has its own knowledge, and agents answer from it with sources. What a document may say to one person is decided by access rules, not by the model.
Notifications
A deadline, an approval, a mention: email and in-app notifications are one service every module uses, with the same audit trail behind them.
What your IT will ask
Short answers, so the technical call starts further along.
- Your existing systems
- We do not replace your ERP, your directory or your mail. We connect to them, and we take over the processes that live in spreadsheets and inboxes today.
- Sign-in
- Standard tokens and OpenID Connect against your identity provider. Access rules by organization, module and role.
- Data location
- Your own database per organization, in our EU cloud or in your data centre. Export in open formats on request.
- The record
- One append-only, hash-chained audit log with your organization stamped on every entry. Verifiable through an endpoint, exportable to your SIEM.
- Secrets
- API keys and credentials live in a vault and are used through a controlled proxy. No key reaches a browser or a log.
- AI providers
- OpenAI, Anthropic, any OpenAI-compatible endpoint, or a model running on hardware you control. Provider choice is configuration.
- Going live
- We run the first process alongside your current one until you sign it off. No cut-over on a promise.
Our cloud, or your own infrastructure.
The same containerized system either way: in our EU cloud, on a public cloud of your choice, or fully on your premises. What differs is who operates it.
Hosted by us
We run it under SLA: monitoring, upgrades, incident response and changes on predictable monthly terms. The people who built it are the people who keep it running.
On your infrastructure
Your servers, your network, your certificates. Your team runs the cluster and pulls our images. We publish each version and your team approves the update, or your operations team takes it over entirely.
What you stop buying separately.
Enterprise stacks usually buy these as separate products. In Omnicorn they are inside the system, not next to it.
Report designers and dashboards
The AI Report Engine builds reports on demand, and the same recipe renders as a dashboard. No designer licence, no per-viewer pricing.
Workflow and BPM platforms
Both engines run inside the system: BPMN for the processes people take part in, automation for the rest.
File storage and sharing
Workspace Drive keeps versions, sharing and access control inside the system, under the same rules as everything else.
Identity providers
Sign-in, access rules and roles are part of the core, and they connect to the directory you already have.
Secrets vaults
Credentials live in the built-in vault and are used through a controlled proxy. No key reaches a browser or a log.
AI orchestration platforms
The Agent Runtime orchestrates models, tools and knowledge natively, under the same permissions as people.
Fewer vendors, fewer licences, less audit surface, less glue code. Not an optimization: consolidation at the foundation.
What you license.
You do not buy a platform and then look for something to do with it. You license the business application you actually run, and everything underneath it comes with that.
A licence per module, priced by value
Licensing follows the business application we deliver: one line per module you run, and none for the ones you do not. The price follows the value the module carries, not the number of people who sign in. Nobody counts seats.
The core is included
Sign-in, access rules, the audit trail, workflow, storage, reports and the AI runtime are never a separate licence. You do not pay twice for the foundation, and you do not license it on its own either.
Operations on monthly terms
We run it under an SLA, or your own team does. Either way it is a predictable line next to the licence, not a project you re-negotiate every year.
AI use is measured
Every agent run carries a budget and records what it consumed. AI cost is a number you can look up per module and per period, rather than a surprise at the end of a quarter.
The second module is priced on its own business logic, because everything under it already exists. We put real numbers against your own process in the first meeting.
The solutions already running on it. Document distribution, document management, Engagement Studio, operational risk, reserve planning. Each one took over work that lived in spreadsheets and inboxes.
See all solutionsStart with the process that hurts.
We take over operations one business process at a time. If you have identified one that burdens yours, and new technology could carry it, bring that one.
Let's meet