Tinkerberry Labs
AI automation for manufacturing

Quotes, quality and maintenance, without the clipboard.

RFQs take days to price, quality data lives on paper, and maintenance is reactive.

Contract manufacturersIndustrial suppliersFabrication and machiningProcess plants

days to hours

RFQ turnaround

10-30%

less unplanned downtime

100%

of quality records digital and searchable

8

documented automations for this sector

The automations

Where manufacturing teams lose hours, and what replaces it.

Each one is a system we have specified and built before.

01

RFQ and quotation automation

The manual process today
Engineering drawings and RFQ emails are priced manually, taking days per quote.
What we build
Extraction of specifications from drawings and RFQ documents, cost model lookup and a draft quote for engineer approval.
Typical impact
More quotes out, faster, with consistent margin logic.
Drawing / PDF extractionCost modelERP quoting
02

Predictive maintenance triage

The manual process today
Sensor alarms are ignored until something breaks.
What we build
Anomaly detection across sensor streams with maintenance work orders drafted and prioritised by predicted failure impact.
Typical impact
Unplanned downtime reduced; maintenance planned rather than heroic.
Historian / IoT dataAnomaly modelsCMMS integration
03

Visual quality inspection

The manual process today
Defect inspection is manual, slow and inconsistent across shifts.
What we build
Camera-based inspection models trained on your defect classes, with borderline cases routed to an inspector.
Typical impact
Consistent inspection at line speed with a defect trend record.
Edge visionDefect datasetMES integration
04

Supplier and purchase-order coordination

The manual process today
PO confirmations and delivery dates are chased over email.
What we build
An agent that sends, chases and parses confirmations, updates the ERP and escalates late acknowledgements.
Typical impact
Purchasing team stops chasing and starts negotiating.
ERPEmail automationException dashboard
05

Shop-floor knowledge assistant

The manual process today
Operators hunt through binders for the right work instruction or troubleshooting step.
What we build
A tablet or voice assistant grounded in your work instructions, manuals and past fault reports, with citations.
Typical impact
Faster fault resolution and quicker operator onboarding.
Manual ingestionRAG with citationsRuggedised UI
06

Non-conformance and CAPA drafting

The manual process today
NCR and CAPA paperwork is a bottleneck that delays root-cause work.
What we build
Draft NCRs from the operator's description and photos, cluster recurring causes and pre-fill CAPA documentation.
Typical impact
Quality engineers spend time on causes, not forms.
QMS integrationClusteringDocument generation
07

Production scheduling support

The manual process today
Schedules are rebuilt in a spreadsheet every time something slips.
What we build
Constraint-aware rescheduling suggestions when a machine, material or order changes, with the trade-offs explained.
Typical impact
Faster recovery from disruption with fewer late orders.
ERP / MES dataOptimisationPlanner review UI
08

Technical documentation generation

The manual process today
Manuals, spec sheets and compliance packs are written from scratch per product variant.
What we build
Generation from your product data and templates, with translation and change tracking across variants.
Typical impact
Documentation keeps pace with product changes.
PLM dataTemplate generationTranslation
Questions

What manufacturing teams ask us.

Often not. Most first projects use data you already have in ERP, MES or a historian. Vision projects need cameras, and we scope that explicitly before you commit.

Yes, we can deploy smaller models on-premise or at the edge where connectivity or IP constraints require it.

Audits are a fixed fee and are credited against a build. Single-workflow builds typically land in the low five figures, multi-workflow programmes higher, and ongoing running and support is a fixed monthly fee. You get the number before we start, not a rolling hourly bill.

A first pilot on your real data usually runs within two to four weeks of the kickoff call. Full deployment with integrations and training normally lands between weeks four and eight.

Your automation plan

Tell us what your manufacturing team keeps doing by hand.

Thirty minutes, no pitch deck. We map the process, tell you whether automation pays back, and give you a rough cost before you commit to anything.

You and the work

Two more short steps sharpen the answer. An engineer reads it either way and replies, usually within a business day.

Other sectors

Automations for adjacent industries.