Handover by memory
The night shift saw the vibration on line three. The day shift finds out when it trips.
For plants and operations teams
Keep the line moving, and the paperwork too
Shift handovers, non-conformance reports, work instructions and maintenance notes. Turn the text your plant already produces into clear, structured information people can act on.
Cleaner handovers
shift logs summarised for the next crew
Structured NCRs
free text turned into fields
Clear cost
price shown on every call
The problem
What is slowing you down today
Quality reports in free text
Non-conformance notes are written in a hurry, inconsistently, and are almost impossible to trend.
Work instructions out of date
The process changed months ago. The SOP on the station still shows the old torque sequence.
Capabilities
Everything you need, nothing you don't
Shift log summaries
Send the raw log and get issues, open actions and equipment status for the incoming supervisor.
NCR structuring
Extract part, defect, quantity, suspected cause and containment into JSON for your quality system.
Work instruction drafts
Turn engineer notes into clear, numbered steps with cautions called out.
Maintenance note decoding
Make sense of technician shorthand and suggest the likely failure mode to investigate.
Steady under load
Batch jobs keep running because fail-over moves requests to another eligible model when one is busy.
Known cost per document
Every call reports tokens and price, so you can budget per line, per plant or per report type.
Use cases
What teams run on it
01
Shift handover reports
A one-page summary of what happened, what is open and what to watch.
02
Non-conformance triage
Classify defects and draft the initial 8D problem statement.
03
SOP and work instruction updates
Redline old instructions against new engineering notes.
04
Maintenance history digests
Summarise a machine's work orders before the next planned stop.
How it works
From sign-up to production
- 1
Test with a real log
Paste a shift log into the playground and see the summary and its cost.
- 2
Connect your systems
Your MES, CMMS or a simple script calls the endpoint with an API key.
- 3
Scale across lines
Give each site its own key and track usage in the dashboard.
Control
Built so you stay in charge
Keys you control
API keys are shown once at creation and stored only as a hash. Revoke any key instantly from Settings.
Spend you can see
Every request carries its own receipt: tokens in, tokens out, latency and price. Nothing is billed that you cannot trace.
Limits you set
Per-account rate limits and a free monthly allowance keep experiments safe before they become production.
Data you decide on
You choose exactly what you send. Repeat prompts can be served from your cache, and cache hits are never billed.
For developers
One endpoint. Every model.
Send a prompt and a capability, or name a model. One bearer key, one small JSON body, and a full receipt on every response.
curl https://YOUR-DOMAIN/api/ainf/inference \
-H "Authorization: Bearer $AI_INFERENCE_KEY" \
-H "Content-Type: application/json" \
-H "Idempotency-Key: order-1042" \
-d '{"prompt":"Summarise this ticket in one line","capability":"chat"}'Questions, answered
Does it connect to our MES or CMMS directly?
It is one HTTP endpoint. Your integration sends the text and receives the result, so it fits whatever system can make a web request.
Can output match our quality fields?
Ask for JSON with your field names in the prompt and map the response straight into your forms.
Who sees our production data?
Only what you send in a prompt is processed. You decide what leaves your systems.
How do we control spend across plants?
Give each site its own key, set a rate limit, and watch daily and month-to-date usage.
Make every shift handover count
Try it on last night's log. The free allowance covers it.