Semiqlassical
Manufacturing and quality
Trace suspect material through mill certificates, receiving records, and production inspection sheets.
Ask: “Which shipped parts used this steel heat, and where are their mill test certificates?”
Introducing SlowData
In real industries, data often lives on paper, in images, and across legacy file stores, far from a database you can simply search. SlowData brings complex physical and legacy industrial data into the automation era.
Ask natural language questions across scanned handwritten reports, images, and legacy records. SlowData pairs answers with formal verification, precise evidence reporting, and a certification layer that people can understand and auditors can review.
SlowData runs on premises. Your organization retains full control of its data and connects SlowData to its own AI systems.
SlowData makes the data verifiable; Toymodel makes the computation built on it inspectable and verifiable.
Before release, maintenance, or handover
Aerospace and defense
Rebuild a component’s history across scanned logbooks, installation records, and removal records.
Ask: “Show this serial number’s installation history. Where are operating hours or cycles missing?”
Energy and asset operations
Match instrument tags on field sheets to calibration results, including readings taken before adjustment.
Ask: “Which temperature transmitters were outside tolerance before adjustment, and which test records used them?”
Engineering and construction
Reconcile commissioning checklists, functional test reports, and open issues before the owner accepts the building.
Ask: “Which air-handling units still have failed tests or unresolved commissioning issues?”
Every finding carries its evidence
Source, check, revision
Trace each finding to a scan page, table cell, or image region. The certification record ties the check to its evidence and applicable revision, with unresolved conflicts visible and corrections preserved.
On premises. Under your control.
Extraction, inference, storage, and verification run on your infrastructure. You control data access and permissions, without requiring cloud inference.
Connect your organization’s AI systems so internal assistants and automation can query the evidence through access you approve.
Bring one record set
Choose the decision to verify.
Start with a lot release, component history review, asset inspection, or project handover. We agree the sources, checks, and deployment boundary, then assess the findings with your reviewers.
Implementation scope is agreed per engagement. Engineering, quality, and release decisions remain with your team.