Capture expertise
Collect approved documents, interviews, workflows, examples and decision rules from experts and teams.
Verified AI Digital Twins
Turn expert knowledge into deployable AI capabilities.
UNIVERAX captures human expertise, decision logic and trusted source material, then transforms them into controlled AI Digital Twins for training, sales, customer engagement and operations.
Human-ledExperts stay in control
Source-awareAnswers grounded in approved knowledge
MeasurableUsage, quality and outcomes tracked
The platform
From tacit expertise to working AI Digital Twins
Traditional chatbots retrieve text. UNIVERAX is designed to capture how experts think, decide and handle exceptions—then deploy that knowledge with governance.
Structure and verify
Map sources, ownership, boundaries, confidence and human escalation requirements.
Deploy the twin
Use the Digital Twin across training, sales, support and operational workflows with measurable performance.
How it works
A governed expertise-to-execution workflow
1.
Ingest trusted knowledge
Ingest trusted knowledge
2.
Capture expert judgment
Capture expert judgment
3.
Evaluate responses
Evaluate responses
4.
Deploy with controls
Deploy with controls
5.
Measure and improve
Measure and improve
Initial use cases
Start with one high-value workflow
UNIVERAX pilots are intentionally narrow: one expert, one workflow, one measurable outcome.
Expert-led service companies
Scale a consultant’s methodology without replacing expert oversight. Serve more clients while preserving quality and escalation.
Training and onboarding
Preserve senior employee knowledge and make it available as an interactive, source-aware learning experience.
Sales enablement
Give teams access to approved product, market and objection-handling knowledge without relying on generic AI answers.
Operational knowledge
Turn recurring procedures and exception handling into a guided AI capability for distributed teams.
Questions
What makes UNIVERAX different?
Is UNIVERAX a chatbot?
No. A chatbot is an interface. UNIVERAX focuses on the underlying expertise model: trusted sources, decision logic, boundaries, evaluations, permissions and measurable outcomes.
What is a verified AI Digital Twin?
It is an AI representation of approved expert knowledge and decision patterns, linked to known sources and deployed under defined controls.
Who is the first product for?
Expert-led service companies and knowledge-intensive teams that want to scale expertise without losing control, trust or quality.
Can a Digital Twin operate autonomously?
Autonomy depends on risk. Early deployments are human-supervised, with approval and escalation rules defined for each workflow.
Build one verified Digital Twin in a focused pilot.
We are speaking with early design partners who have valuable expert knowledge, repetitive workflows and a clear business outcome to measure.