Mortgages
Save over an hour per loan
Every document on a case read, checked and turned into income and expenditure in around 10 seconds.
Company brain by Onteric
Make your AI an expert in your business.
Turn everything your company knows into the shared understanding your AI needs to actually work.
The company brain that continuously reads your documents, emails and data, understands what they mean and how they connect. And keeps that understanding current as your business changes. So your AI can stop guessing and start working.
Trusted by leading brands
Proven
What our customers say
“Onteric has made a genuine difference to how we work. What previously required significant staff time can now be completed in seconds.”
“Onteric have been outstanding partners from the outset. They respond quickly and adapt with ease. We have been impressed not only by their technology but also by their people.”
“Our advisors were spending too much time on admin and not enough talking to customers. We partnered with Onteric to fix that, freeing our advisors to focus on what drives revenue. The ROI case was clear from day one.”
95%* of agentic AI pilots fail. Onteric helps them succeed.
AI agents struggle to understand your business like your team do, so find it difficult to deliver the efficiencies and insights we are all looking for.
This is because AI can only work off what it can access and understand. But company data is often inaccessible, inconsistent or incomplete.
What's missing is what sits between your data and your AI: the shared context AI needs to understand how your business actually works. And stays constantly up to date.
Your AI wish list can make it into production.
Where would you use AI if it actually worked?
Multiple use cases; the same understanding applied.
Financial advice
Walk into every review prepared
New evidence reconciled against the client record, so advisers see what has changed before the review.
Conveyancing
Evidence every check
Source of wealth validated across every document in the file, with the evidence behind every check logged.
Insurance
Focus assessors on genuine exceptions
Claim evidence structured and coverage rules applied exactly.
Healthcare finance
Catch every discrepancy
Every invoice line matched to approved spend, with the exact discrepancy shown.
Finance operations
Escalate exceptions automatically
Bank and accounts payable data matched against your rules.
Manufacturing
Protect margin
Understand supply chain price changes as soon as they happen so you can adjust your pricing dynamically.
Defence
Keep policy in step with regulation
Identify how JSPs and AESPs are impacted by any change to e.g. health and safety regulations, and automatically propagate updates.
Defence
Reduce stale data risk
Ensure forward deployed assets can still access their company brain even with low bandwidth.
What a company brain is.
One complete understanding of your business, shared by every (AI) tool you use
Company brain is a layer that sits beneath the tools you already use. It reads everything your business knows, works out how it fits together, and gives your AI the context and understanding to actually deliver.
It understands, not just reads
Most AI can tell you who a contract is between and when it was signed. Company brain understands the contract: the obligations, the rules, the people and how they connect to everything else.
It stays current
When something changes, company brain updates everything that change affects, and flags discrepancies before they become problems.
It shows its working
Every answer traces back to its source, the rule applied and the decision made. An answer without proof is just a guess.
It learns once
Correct it once and it stays corrected. Imagine your team only ever making a mistake once.
Better, faster outcomes plus less compute every time you use your brain
Many AI tools start from scratch each time they are asked a question. They go back to the raw data, reread it and rebuild the picture. This uses a tonne of tokens, can take a while, and can come back with a different answer.
Built different
Onteric's company brain runs on neuro-symbolic AI, built from the ground up in-house by our PhD team. It is not simply retrofitted onto a large language model (LLM).
Unlike relying on an LLM alone, its symbolic reasoning follows explicit rules. This makes the reasoning auditable, reconstructable and consistent. Important for regulated use cases.
Neuro-symbolic AI also means Onteric's company brain can remember information, so it doesn't need to start from scratch every time a question is asked.
So what?
Your company brain builds understanding once, keeps it current and reuses it. It is designed to get smarter, work faster and use less compute as that understanding grows.
Actual speed and compute savings depend on the workflow and deployment.
Scroll sideways to compare both columns.
| Situation | Typical AI | Company brain |
|---|---|---|
| Each new question | Re-learns from scratch | Builds on what it already knows |
| When something changes | Waits to be asked again | Updates what the change affects |
| Same question twice | May give a different answer | Same answer, every time |
| Errors/amendments | Repeat until a person spots them | Corrected once, stay corrected |
| Compute | Constant cost per query | Falls as understanding grows |
Illustrative comparison. AI tools vary. Consistency assumes unchanged inputs, rules and business context.
No new interface. No new workflow. No behaviour change.
Keep your tools
Company brain works beneath the AI you already use.
Keep your workflow
Your people carry on working exactly as they do today.
Give your AI the understanding
Every tool draws on the same knowledge of your business.
Not another place your people have to go. Just AI that knows your business
Scroll sideways to explore the diagram.
The next evolution of AI: From co-pilot to relief pilot.
A co-pilot helps someone do their work faster. A relief pilot can take parts of the work off their plate. The difference is understanding.
Give AI the right context and it can move beyond helping someone complete a task. It can start completing the work itself.
Co-pilot
A person does the work. AI assists.
Company brain
AI understands the environment, context and rules
Relief pilot
AI can take permitted parts of the work off a person's plate.
The real efficiency gains begin when AI can reliably understand the environment it's operating in—and what it needs to do.
AI needs to know what it knows—and why.
Enterprise AI needs more than plausible answers. Company brain keeps the context behind decisions inspectable and correctable.
- Correctable meaning
- Correct the underlying interpretation instead of fixing every downstream output by hand.
- Recorded ambiguity
- Keep uncertain meaning visible so it can be reviewed and adjudicated.
- Human control
- The business remains in control of meaning, rules, approvals and decisions.
ILLUSTRATIVE DECISION TRACE
- TRIGGER
- A new transaction changes the available evidence
- RELEVANT ENTITIES
- Contract, counterparty and payment record
- APPLICABLE RULE
- The contract's payment obligation
- VERSION
- The interpretation and rule version used
- APPROVAL
- Human review required for an unresolved exception
- OUTCOME
- The decision and its supporting context are retained
Illustrative architecture example, not a live record or an assurance of regulatory compliance.
The more your business is understood, the more valuable your AI becomes.
People repeatedly explain the same rules, find the same documents, reconcile the same information and check the same exceptions. Company brain aims to turn that repeated rediscovery into persistent infrastructure.
Reuse what is understood
When information is stable and repeated, the understanding can be reused across applications and workflows.
Focus on what changes
When something genuinely changes, update the affected context instead of reconstructing the whole business picture.
AI value increases as the business becomes more understood.
Built around correctable meaning—not just retrieval.
The technical challenge isn't simply retrieving more information.
It is maintaining a correctable, continuously updated model of what that information means to the business.
Explore the architecture
- Semantic understanding
- Represent what information means in its business context, rather than only storing where it can be found.
- Typed entities and relationships
- Identify the people, organisations, agreements and events involved, and how they relate.
- Ontosemantic rules
- Connect domain meaning to the explicit business rules that apply.
- Entity resolution
- Resolve references to the same entity across documents and structured records.
- Ambiguity tracking
- Record uncertain or conflicting interpretations so they can be reviewed.
- Incremental propagation
- When information or meaning changes, update the affected parts of the model.
- Decision traces
- Retain the trigger, context, applicable rules, version, approval and outcome.
- Governed actions
- Make context available to workflows that act within the business's rules and approvals.
Start with one workflow. Scale from there.
What would move the dial for your business? See business value in one week.