Find the right task.
Understand the recurring work, the people doing it, and the result that would make a difference.
A clearly defined workflow
Manufacturing expertise,
put to work.
An AI workforce that belongs to you. Engineering-grade, traceable, grown inside your organization.
THE EXPERTISE IS ALREADY THERE.
In every decision.
In every person.
Ready to go further.
Manufacturing runs on knowledge that rarely fits in a manual. We’re building AI applications that help teams turn that knowledge into repeatable work, with experts at the center.
01 OUR SOLUTION
Your knowledge.
A new kind of workforce.
From the first piece of evidence to the final review. Request a guided demonstration of our measurement workbench and discuss the workflow your team wants to improve.
01Connect your knowledge.
KNOWLEDGE & CONTEXT
Bring specifications, engineering records, and expert know-how into a shared context. Keep sources and revisions connected to the work.
02Make experience actionable.
MODELS & DOMAIN EXPERTISE
Combine data analysis and domain-specific reasoning with the judgment of the people who know your processes. Define what a good decision looks like.
03Give work to AI agents.
ROLE-BASED APPLICATIONS
Design agents around a clear responsibility: investigate an issue, prepare a review, or assemble a technical response, with the tools and context each task needs.
04Keep expertise in the loop.
WORKFLOWS & FEEDBACK
Build in human review, record decisions, and learn from corrections. Expand each workflow after it has been tested against real requirements.
KOVELTA / SYSTEM CONCEPT
KNOWLEDGE & CONTEXT
SpecificationsProcess recordsExpert know-how
MODELS & DOMAIN EXPERTISE
Data analysisExpert examplesDecision criteria
ROLE-BASED APPLICATIONS
Process engineerQuality specialistTechnical service
WORKFLOWS & FEEDBACK
Review & approveCapture feedbackEvaluate & improve
Built around your processes. Evaluated with your experts.How we work
FOR THE TEAMS BEHIND
EVERY PRODUCT
EVERY PRODUCT
EngineeringQualityOperationsTechnical service
02 APPLICATIONS
Real roles.
Meaningful work.
A manufacturing team has more than one kind of expertise. Start with a defined task, then build the intelligence around it.
NPI / APPLICATION CONCEPTMove from open questions
Move from open questions
to a clearer next build.
Explore an AI engineering teammate that organizes trial-build evidence, surfaces missing information, and helps prepare the next investigation.
Explore an NPI workflow
Workspace✳
Process engineeringAI teammate · concept
What should we investigate before the next trial build?
Trial-build reportInspection resultsProcess specification
PROPOSED WORKFLOW
- Check the measurement method and document revision
- Compare observations across process conditions
- Prepare a test plan for the engineering review
Trial-build investigation plan
For reviewEvidence, open questions, and proposed verification steps.
QUALITY / APPLICATION CONCEPTTurn scattered evidence
Turn scattered evidence
into a focused investigation.
Explore how an AI quality teammate could connect inspection records and process history to prepare a structured investigation for expert review.
Explore a quality workflowWorkspace✳
Quality engineeringAI teammate · concept
How can we narrow down this recurring quality issue?
Inspection recordsProcess historyControl plan
PROPOSED WORKFLOW
- Check the defect definition and traceability
- Compare available evidence against competing causes
- Prepare a verification checklist for the quality team
Quality investigation brief
For reviewKnown facts, competing hypotheses, and missing evidence.
SERVICE / APPLICATION CONCEPTPut technical knowledge
Put technical knowledge
within reach of every reply.
Explore an AI service teammate that brings product documentation and prior resolutions together, so experts can review a grounded response.
Explore a service workflowWorkspace✳
Field application engineeringAI teammate · concept
Which checks should we recommend for this application issue?
Application requestProduct documentationResolution notes
PROPOSED WORKFLOW
- Clarify the operating conditions and constraints
- Locate the relevant product guidance and sources
- Draft a technical response for specialist approval
Technical response draft
For reviewSuggested checks, source references, and escalation points.
PLANNING / APPLICATION CONCEPTSee what needs attention
See what needs attention
before the plan changes.
Explore an AI planning teammate that gathers order, material, and capacity context to help the team review exceptions and possible next steps.
Explore a planning workflowWorkspace✳
Production & materialsAI teammate · concept
Which constraints need review before we confirm the plan?
Order requirementsMaterial availabilityCapacity snapshot
PROPOSED WORKFLOW
- Check data freshness and outstanding dependencies
- Organize material and capacity exceptions
- Prepare alternatives for the planner to evaluate
Planning exception review
For reviewConstraints, dependencies, and options for human review.
These previews illustrate our product direction. They use sample content and do not run live AI.
03 OUR APPROACH
Start with the work.
Build with the experts.
Build with us Capture the judgment.
Work through cases with domain experts. Make the evidence, decisions, and exceptions explicit.
Expert examples & criteriaTest it on real work.
Evaluate unfamiliar cases, review failures, and validate the workflow in the customer’s environment.
A measurable pilotKeep getting better.
Use feedback to refine the system, support the team, and decide where the next application belongs.
An ongoing learning loop04 WHY KOVELTA
The future is built
on what people know.
We believe the next generation of manufacturing software should carry the context, judgment, and practical knowledge behind the work.
Kovelta is developing manufacturing AI applications and implementation services with that purpose: to help human expertise reach further.
Start a conversationLET’S BUILD WHAT’S NEXT