KnowledgeXpert®
Your trusted knowledge, put to work.
KnowledgeXpert turns the sources your firm approves into cited answers and finished deliverables, with your experts in control of the work.
GenAI doesn’t work for high-stakes engineering.
The problem
Your firm knows more than it can put to work.
The knowledge behind your work is spread across standards, specifications, procedures, test data, past projects and the people who have been there longest. Finding the right answer takes time. Repeating the same work takes senior attention. When the evidence is hard to trace, every reviewer has to retrace it.
The detail is exact.
Clause numbers, revisions, tolerances, methods and technical conclusions have to hold up.
The volume is huge.
No one person can keep every document, decision and prior project in working memory.
Being wrong costs real money.
Rework, delays, failed audits, disputed findings, liability and lost client trust.
Firms facing all three are what we call technical knowledge businesses. KnowledgeXpert is purpose-built for them.
Put your firm’s knowledge to work, where the work happens.
Agents built for your recurring tasks.
Agentic Apps →See it work
One task, from question to source to deliverable.
What it finds, where it came from, what the agent produced, and what it does when the sources do not support an answer.
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Ask, and see the source.
A plain question, the answer, and the exact document and page it came from, shown beside it.
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Hand an agent the recurring job.
From an ILI run, the agent ranks every corrosion anomaly by depth, ERF at MAOP and B31G failure pressure, and grades each one.
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Get the deliverable, ready for review.
A finished report in your format, its status set to engineering review. The expert signs it, not the software.
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Know when the sources run out.
Asked about a standard its sources do not contain, it says so and cites what it can. It will not invent an answer your knowledge does not have.
Where to start
Start with one job your team repeats.
Each agent is built around one job: its sources, its output, its review.
- Forensic engineering
Case chronology
Document production Chronology + exhibit list - Forensic engineering
Testimony map
Prior testimony Map of what was said - Oil & Gas
Integrity summary
ILI runs + dig records Cited summary, for review - Oil & Gas
Audit evidence
Integrity records + 49 CFR Evidence set, clause by clause - Engineering & EPC
Code check
Specification Governing clause - Engineering & EPC
Prior work, found
Your past deliverables Cited precedent
The answer is not the endpoint. The deliverable is.
Industries
Who we work with
Built around technical work, not general AI use cases. Each starts with the sources, decisions and deliverables that define the work.
Forensic Engineering & Failure Analysis
A secure case workbench. Files organized from day one, a timeline and a testimony map, every answer cited to the page.
See the forensics workbench →Oil & Gas
Integrity records, 49 CFR and PHMSA data as cited answers and governed workflows, on the records you already keep.
See oil & gas →Engineering & EPC
Your firm's past work, found and cited. Which code controls, resolved to the clause, on your own prior engagements.
See engineering & EPC →Security and control
Your knowledge stays under your control.
You decide where your technical knowledge lives, who can reach it, which agents can use it, and who reviews the result.
- Your documents are never used to train public AI models, and never leave your tenant.
- Access is set by role, down to an individual Knowledge Base, and every access is logged.
- Every answer keeps a record: the question, the sources in scope, the passages used, who asked and when.
- Run it in a cloud tenant, or air-gapped on your own hardware.
Who built it
Built by people who know the work.
KnowledgeXpert began with corrosion, pipeline-integrity and materials engineers, people who spent their careers on failure investigations and integrity programs and saw what GenAI tools were missing for that kind of work. They built the governed platform it requires.
Common questions
Straight answers.
What is a technical knowledge business?
A firm where deep technical knowledge is central to the value it delivers, the detail must be exact, the volume exceeds what any one person can hold, and being wrong costs real money.
How is KnowledgeXpert different from a GenAI assistant?
It works only from the sources your organization approves, shows the source behind every answer so a reviewer can check it, and runs agents that produce defined technical deliverables. It is built for governed technical work, not general assistance.
What happens when the answer is not in our approved sources?
It tells you the sources do not cover the question, and cites what they do cover. It will not invent an answer your knowledge does not have.
Does it replace technical review?
No. Review and approval stay with your experts wherever the work needs judgment or someone has to sign. The output arrives marked for that review.
Do we need an AI or data-science team?
No. It is built for technical teams, not AI teams. You connect the documents you already keep, decide which sources count as approved, and start with one job your team repeats.
How is it priced?
By deployment model and team size. A cloud tenant and an air-gapped deployment on your own hardware are different propositions. We are updating our pricing and will publish the new structure shortly; ask on a walkthrough or by email and we will scope both for you.
Bring us one job your team repeats
Show us the work. We will show you where it fits.
Bring one job your team runs over and over, the sources behind it, and the output you have to produce. In thirty minutes you will see where KnowledgeXpert fits, what it would take to set up, and where it does not belong.