Engineering Services | MechaLogics

Machine Design Knowledge Lab

ENGINEERING SERVICES

Technical material becomes useful when it is structured as engineering data.

MechaLogics provides four services available today: technical document translation, technical document analysis, drawing review and analysis, and mechanism video analysis. Each service preserves the source, structures engineering meaning and relationships, and delivers reviewable findings rather than an unexplained result.

FOUR SERVICES, ONE CONTROLLED DATA PROCESS

01 — Technical document translation

Manuals, specifications, datasheets, catalogues, and technical reports are translated with terminology, units, tables, figures, equipment function, and operating sequence interpreted together. The reviewed translation is delivered with DTP. US$10 per page; minimum project charge US$100.

02 — Technical document analysis

Requirements, functions, specifications, system configuration, interfaces, procedures, assumptions, and evidence are extracted and related. Repeated values are cross-checked; contradictions, omissions, and unresolved conditions are listed. Starting at US$200.

03 — Drawing review and analysis

Existing mechanical and electrical drawings are reviewed for views, symbols, dimensions, tolerances, datums, notes, part relationships, and assembly interfaces. Missing or conflicting information and manufacturing or assembly risks are recorded. Starting at US$300.

04 — Mechanism video analysis

Key frames are selected to identify visible components, actuators, constraints, contact points, motion order, transmission paths, and operating sequence. Hidden structure is recorded as inference, not fact. Starting at US$200.

05 — Common validation

Translations, analyses, relationship maps, tables, and reports are checked against the source, requirements, units and values, terminology consistency, component and interface relationships, and applicable engineering criteria. Each result records its source, check, status, and open issue as CONFIRMED, INFERRED, or HOLD.

PROCESS — Source material → Structured records → Linked engineering data → Reviewable output

CONTROLLED BY — Customer requirement · Source and revision · Engineering criteria

STATUS — CONFIRMED · INFERRED · HOLD

HOW DESIGN DATA IS STRUCTURED AND USED

Source identity and traceability

Every record retains the file, revision, page, drawing view, table, or video timestamp from which it came. Later findings can be traced back to the original context.

Engineering meaning

Terms, units, requirements, functions, components, parameters, operating conditions, and constraints are normalized so that equivalent, repeated, or conflicting information can be compared.

System relationships and criteria

Structural groups, components, interfaces, motion and flow paths, dependencies, candidate choices, and applicable criteria are connected to show how a local issue affects the system.

Validation and reusable outputs

The same structured data can be presented as a reviewed translation, requirement table, component map, drawing issue list, motion sequence, or validation record without losing its source and status.

METHODS DEVELOPED THROUGH DESIGN-OS R&D

AI supports the flow; engineering criteria control the decision.

For these services, source material is treated as a partial view of a larger engineering state. Customer intent, requirements, functions, structure, interfaces, parameters, evidence, risk, and revision are kept connected so that the output can support a practical decision.

AI assists with parsing, normalization, comparison, contradictory or missing evidence, maintaining candidate interpretations, and proposing the next check. It does not approve an engineering conclusion; declared criteria, validators, and human authority control acceptance.

ENGINEERING KNOWLEDGE FOR AI — Standards, manuals, equations, design rules, constraints, and validated cases are separated into source-linked Knowledge Entries with parameters, units, applicability, exclusions, evidence grade, uncertainty, and revision. Version-controlled Knowledge Packs and their relationship map let AI retrieve only knowledge applicable to the current state. Unverified output is never promoted to knowledge automatically.

FUTURE DIRECTION — Design-OS aims to connect customer intent → requirements and functions → structural groups and interfaces → candidate design state → applicable Knowledge Packs → AI-assisted program control → analysis and generation tools → validation gates → approved output → revision history. Current services use selected parts of this method. The complete design-automation loop remains a long-term R&D direction; when evidence is insufficient, the process should stop for review rather than invent a result.

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