For organisations

Help the whole aftersales team learn without losing people's trust.

Technical experience deserves somewhere useful to live. UnderTorque helps organisations explore controlled knowledge contribution, retain intentionally shared learning and improve automotive understanding across the wider team.

Diagram showing private professional knowledge, deliberate contribution, and governed Advisor understanding.
Conceptual artwork; knowledge sharing is not automatic.
What organisations gain

Useful organisation memory without automatic ownership of personal knowledge.

Technician starts with professional trust: personal knowledge is private by default. Organisation knowledge is retained when someone deliberately contributes it — not simply because they are employed or added to a membership list.

Retain deliberate contributions

Useful knowledge intentionally shared with the organisation can remain available even when people or roles change.

Reduce repeated diagnostic learning

Make proven workshop learning easier for eligible technicians to find when similar faults return.

Support technician development

Less experienced technicians can learn from structured real-world reports and evidence already captured by the team.

Protect contribution trust

Private work stays private unless the technician deliberately shares it or authorises a sharing rule.

Technician

Give workshop experience somewhere useful to live.

Technician captures diagnostic reports and tips in a format that can be searched, reused and selectively shared.

Structured technical reports instead of loose notes.
Search by vehicle, DTC, symptom, system, tag and keyword.
Personal, direct-shared and organisation knowledge remain distinct.
Organisation retention happens from deliberate contribution.

Explore Technician

Workshop knowledge
Organisation context
42Reports
18Tips
8Contributors
6Recent
Shared fault library

Find deliberately contributed fixes.

Evidence-led reports

See tests, results and confirmed fix.

Creator preserved

Contribution does not erase authorship.

Team reuse

Stop solving the same problem from scratch.

UnderTorque
Advisor · Vehicle knowledge
Organisation guidance
Find knowledge

What do you want to understand?

Vehicle systemsBuild a working mental model of the vehicle.
Manufacturer knowledgeKeep variation and terminology clear.
Maintenance & wearUnderstand service items and deterioration.
Warranty principlesLearn the evidence and authority boundaries.
Advisor

Build confidence from understanding, not scripts.

Advisor is designed for non-technical aftersales staff who need accurate automotive context without being turned into technicians.

Vehicle systems, components, features and warnings.
Maintenance, wear, consumables and deterioration.
Manufacturer, model and powertrain knowledge.
Generic warranty principles with clear evidence and authority boundaries.

Explore Advisor

Who it is for

Built for real automotive aftersales environments.

UnderTorque can support different roles without forcing every person into the same interface or data model.

Aftersales leadership

Create a more durable knowledge culture across sites and teams while preserving clear ownership rules.

Technical leadership

Make proven workshop learning easier to retain, search and reuse instead of relying on individual memory.

Training & development

Build automotive understanding from governed knowledge and real misconceptions rather than disconnected generic training.

Explore the idea

Help us understand what would be useful.

UnderTorque is currently an experimental project. We want to understand what your organisation is trying to preserve, teach or improve, then prove whether the idea could support your team. No commercial service is offered by this showcase.

No public per-seat pricing invented before real evidence exists.
No guaranteed ROI claims without measured outcomes.
No forced rollout of every UnderTorque product.
Share your interest

Tell us what your aftersales team keeps having to relearn.

Whether the problem is lost technician knowledge, repeated diagnostic learning or gaps in wider automotive understanding, we can start from the problem and work out whether UnderTorque fits.