Energy
From days to minutes in expert research on oil wells
Teach your AI how your business works.
Dixtra connects your data, your documents and your experts' knowledge to drive your profitability.
Your stack processes data. But it doesn't understand your business.
Data platforms store, BI visualises and LLMs generate. None of them keeps a living picture of what is happening in your business, why, and what it means. That layer is Dixtra.
Cases in production
What Dixtra already solves
Research
A shared brain for every researcher.
Dixtra is built by Exponentia, the critical software factory trusted by:
Fashion
Security
Furniture
Technology
Logistics
Telecoms- 42%
- of a company's knowledge is held by a single person.Panopto, 2018
- 95%
- of the generative AI pilots analyzed had no measurable impact on results.MIT, 2025
Context makes the difference
From access to data to context for deciding.
One question, three toolsIllustrative example
What counts as an active customer?
Intranet34 results
- Sales definitions v3.docxUpdated 2 years ago
- Customer report 2023.pdfSales Leadership
- Sales KPIs (draft).xlsxNo owner
- March committee minutes.pdfManagement Control
- Active customers (old).pptxMarketing
- RE: what is an active customer?Forwarded email
It gives you documents. You find the answer.
Dixtra
At least two invoiced orders in the last 12 months.
It is the rule Sales Leadership validated.
Validated rulesales.orders
It gives you your company's answer. And where it comes from.
Validated knowledge
How Dixtra turns your experts' judgment into knowledge you can rely on
What we used to do by hand
When you join a company, nobody tells you everything up front. Knowledge is earned question by question, talking to the people who know.
How we decide something is right
We talk to several people, ask them a similar question and check that they reach the same conclusion.
What Dixtra does
The same, continuously. It asks your experts, proposes rules for them to review and validate, and keeps them up to date.
Expert judgment
Your experts' judgment reaches the whole team, and they are still the ones who validate it. If Dixtra spots doubts or contradictions, it asks them, to keep it up to date.
DixtraProposals
I found two definitions of “active customer” that don't match. Which one do we apply?
Proposal · CorrectionPending reviewValidated
Active customer: at least two invoiced orders in the last 12 months.
Sales ManagementProposed by Dixtra · Chat
RejectApprove
Now part of the team's context
Traceability
Check the sources and judgment behind every answer, to review the information before you decide.
DixtraChat
How did sales perform in the third quarter?
- Searched “Q3 sales” in the knowledge base
- Queried the data: 12 rows
- Found 3 documents
Sales grew 8.4% over the second quarter, driven by industrial climate control. Margin holds at 31%.
Q3 quarterly report.pdfsales.ordersExecutive committee minutes.pdf
“…third-quarter sales grew 8.4% over the previous one…”
p. 4Open source ↗
Integration
Connect your compatible data and documentation systems. Dixtra adapts to your company's architecture.
DixtraActivity
Dixtra03:12
While you were sleeping, I found new information, 2 contradictions and 3 knowledge gaps. I sent the proposals to the people who validate each area; they are awaiting their review.
12Updates
2Contradictions
3Gaps
- Contradicts2025 discount policy · Q3 price list→ Management control
- GapWhat does the logistics cost include?→ Operations
Access control
Define what information each person can see and who can validate knowledge.
DixtraAccess
AsksWhat margin does the North account make?
Management Control
- Margin by customer.xlsx
- North framework contract.pdf
23.5%, three points above the portfolio average.
Sales
- Margin by customer.xlsxNo access
- North framework contract.pdf
I can give you the account's volume. Only Management Control sees the margin.
Executive managementSalesKAMPartnershipsTransformationCorporate strategyM&AEngineeringDevelopment
Agility
Ask in natural language and draw on the knowledge available, without chaining requests across teams.
Understand it
How does Dixtra work?
Connect the knowledge
Bring together data and documentation from your company's compatible systems.
Ask your experts
Spot gaps and contradictions and ask the people who validate each area.
Share the approved judgment
Once validated, people and AI agents can draw on the approved knowledge, according to their permissions.
Frequently asked questions
What people usually ask before starting
How is it different from an AI assistant?
An assistant answers with whatever it finds. Dixtra spots what isn't written down, asks the person who knows, and only uses what your team has validated.
How does it capture our experts' knowledge?
Dixtra spots doubts, gaps and contradictions and asks the people who validate each area. Once they approve a judgment, it becomes part of the shared knowledge. If new doubts or contradictions come up, it asks them to review it again. There's no need to validate answers one by one.
Does it replace people?
No. Your experts still decide which judgment is valid. Dixtra helps them spot what is missing, share what they know and keep that knowledge up to date.
Why doesn't my data platform already do this?
Your data platform can store and organize information. Dixtra adds a process to capture the judgment that isn't documented, validate it with your experts and link it to data and documents. The scope of the integration is defined around your systems.
Do we have to change our tools?
No. Dixtra plugs into your data architecture and compatible repositories. The scope is defined around your systems.
Where is the data and who can use it?
You can choose Dixtra's environment with private access or your own cloud. You keep ownership of the data and set the permissions. Your information is never used to train models.
How does it help with traceability and compliance?
The sources and judgment behind the answers can be reviewed. This traceability eases your audits and supports your AI Act compliance processes, without replacing your organization's own assessment.
How do we get started?
In a 30-minute conversation we review your context, your sources and a first use case. Scope and timelines are defined from there. No cost, no commitment.