RyTech Innovation
DE
RyTech Innovation

Repetitive engineering work → automated.

If your engineers do the same digital task again and again, it can usually be automated — so they can spend more time engineering.

Free 30-minute intro callSee example workflows

Free and no obligation. An orientation call, not a technical audit.

Who we work with

  • 01Engineering and manufacturing companies, 20–250 employees.
  • 02Focused on Bavaria — aerospace, defence, electronics manufacturing, special machinery, industrial technology.
  • 03Technical discussion can run in English; documents and customer deliverables in German.

What we automate

Inspection reports & PPAP/EMPB

Illustrative example — not a customer reference
Problem
Measured values are transferred by hand from inspection reports into customer templates and checked against tolerances.
Result
Structured, tolerance-checked output in the customer's format.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Receive the report (PDF, scan, export).
  2. 02Identify document type and template.
  3. 03Extract characteristics and measured values.
  4. 04Check against drawing tolerances.
  5. 05Flag missing or inconsistent values.
  6. 06Fill the customer template (EMPB/PPAP).
  7. 07Route to the responsible inspector for sign-off.

Measurement records from CMM, hand gauges and test benches are transferred field by field into the customer template (EMPB / PPAP Level 3, balloon numbers, first-article inspection report) and checked against drawing tolerances. Deviations are flagged. Two correction loops are part of every pilot; acceptance measures a field-level hit rate of at least 95% against customer-approved reference documents.

For machinery in scope of EU Machinery Regulation 2023/1230 (binding from 20 January 2027), the evidence trail — conformity, technical documentation, traceability of measured values — plugs into the same automated flow.

AI is used here only for extraction and mapping. The tolerance check itself is deterministic, and every generated document stays with the customer for sign-off before it goes out.

RFQ processing

Illustrative example — not a customer reference
Problem
Incoming enquiries are read, sorted and broken into line items by hand.
Result
The enquiry is captured as structured data and routed.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Receive the email and attachments.
  2. 02Identify customer, parts, quantities and dates.
  3. 03Structure and normalise the line items.
  4. 04Check against master data and duplicates.
  5. 05Flag open points.
  6. 06Into the target system as a record, the rest to sales.

Supplier & customer email triage

Illustrative example — not a customer reference
Problem
Inboxes mixing orders, queries and complaints are reviewed manually.
Result
Classified, assigned, delivered as a task to the right person.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Receive the incoming message.
  2. 02Match the sender and the case.
  3. 03Classify the request (order, query, complaint).
  4. 04Check for completeness.
  5. 05Route it as a task to the right person.

Technical document extraction

Illustrative example — not a customer reference
Problem
Drawings, certificates and scans exist as PDFs; the data inside is not usable.
Result
PDFs and scans become structured, queryable fields.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Receive the PDF or scan.
  2. 02Detect document type and layout.
  3. 03Extract fields (material, batch, test values, standards).
  4. 04Validate against the expected schema.
  5. 05Flag missing entries.
  6. 06Serve as a table or API response.

Machine data integration

Illustrative example — not a customer reference
Problem
Machine data sits at the equipment but not in the documentation.
Result
OPC-UA/MQTT connection; values flow straight into qualification documentation.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Connect to the equipment (OPC-UA, MQTT, Modbus), read-only.
  2. 02Select the relevant parameters.
  3. 03Check values against limits and plausibility.
  4. 04Flag outliers.
  5. 05Carry them into the qualification documentation.

System-to-system data transfer

Illustrative example — not a customer reference
Problem
The same data is entered twice across ERP, PLM and spreadsheets.
Result
Enter once, transfer automatically.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Detect the change in the source system.
  2. 02Map fields to the target format.
  3. 03Check consistency and required fields.
  4. 04Flag conflicts.
  5. 05Hand over to the target system and log it.

Website & content automation

Illustrative example — not a customer reference
Problem
Website and content upkeep eats time the business needs elsewhere.
Result
Content is controlled and published, with customer sign-off.
  1. Intake
  2. Extract
  3. Validate
  4. Route
What happens inside
  1. 01Receive the source or trigger (occasion, template, data state).
  2. 02Generate a draft.
  3. 03Check against guidelines and the source of truth.
  4. 04Route to the customer for sign-off.
  5. 05Publish once approved.

How we work

Three steps, each with a defined outcome before the next one starts.

  1. 01

    Analysis & concept

    €1,900

    We look at one specific workflow: the relevant inputs and systems, technical feasibility, a sensible implementation scope. The result is a defined implementation scope, one measurable success criterion, and a clear recommendation for the next step. Fixed price €1,900. If the subsequent pilot is commissioned within 90 days, the Analysis & Concept fee is credited in full.

    For projects in Bavaria, Digitalbonus Bayern may cover part of the cost — we raise it in the intro call.

  2. 02

    Pilot & implementation

    Proposal based on the defined scope

    Based on the analysis you receive a project proposal: defined scope, defined acceptance, fixed price per project — no open-ended consulting mandate.

    Discuss your project
  3. 03

    Support & integration

    Ongoing operation, adaptation to new templates, connection of further systems and machine data. Pricing is agreed individually.

Hardware is passed through at cost.

All prices net, plus VAT.

Examples

Illustrative examples. Not customer references. The flows shown demonstrate our approach using constructed sample data. They do not describe completed customer projects.

Input → processing → validated resultIllustrative example — not a customer reference
Processing
  1. Intake
  2. Extract
  3. Validate
  4. Route
Before — Inspection report (input)
Dim. A12.46 mm
Dim. B8.01 mm
Bore ⌀5.00 mm
Roughness Ra1.4 µm
Result — Customer template (result)
Dim. A12.46 mmDeviation
Dim. B8.01 mmOK
Bore ⌀5.00 mmOK
Roughness Ra1.4 µmOK
Sign-off: pending

Inspection reports & PPAP/EMPB

Problem
Measured values from inspection reports are transferred into the customer template by hand and checked against tolerances one by one.
Flow
Read the report PDF → extract characteristics and measured values → check against drawing tolerances → fill the customer's EMPB/PPAP template → flag deviations → customer sign-off.
Result
Structured, tolerance-checked output in the customer's format, deviations flagged. Field-level hit rate ≥ 95% against customer-approved reference documents.
RFQ: email → structured enquiryIllustrative example — not a customer reference

Before — RFQ email

Subject: Enquiry turned parts — please quote

"… we need approx. 250 pcs of drawing 4471-B, Rev C …"

"… plus 60 pcs 4471-C, delivery week 42 if possible …"

Attachment: 4471-B_RevC.pdf, 4471-C.pdf

"… tiered pricing welcome. Payment terms as usual."

After — structured enquiry

Customer
Muster GmbH
Line 1
4471-B Rev C · 250 pcs · wk 42
Line 2
4471-C · 60 pcs · wk 42
Drawings
2 attachments detected and matched
Open
Tier quantities, payment terms — to sales

Drag the handle, use the buttons or arrow keys

RFQ processing

Problem
Incoming enquiries are read, sorted and broken into line items by hand.
Flow
Read the email and attachments → identify customer, parts, quantities and dates → structure the line items → duplicate check → into the target system as a record, open points to sales.
Result
Every enquiry as a structured record, routed to the right person.
Illustrative view of document extraction using constructed sample data.
Illustrative example — not a customer reference

Technical document extraction

Problem
Drawings, certificates and scans exist as PDFs; the data inside cannot be queried.
Flow
Ingest the PDF or scan → detect layout → extract fields (material, batch, test values, standards) → validate against the expected schema → serve as a table or API response.
Result
PDFs and scans become structured, queryable fields.

How we work — the boundaries

  • AI is used only for extraction and mapping. Inspection and tolerance rules are deterministic.
  • Every generated document stays with you for sign-off before it goes out.
  • Sample data is constructed and labelled as such — never real customer data.
  • On-premise operation is available where data sovereignty is required.

Who runs it

RyTech Innovation is run by Nikita Rybalka, an electrical engineer (B.Sc. Electrical and Computer Engineering, Ben-Gurion University of the Negev). Previously R&D Project Leader and Product Manager at J.A.M.E.S. GmbH (a Hensoldt Ventures / Nano Dimension joint venture, Munich), owning the product lifecycle for additively manufactured electronics from specification to production, including the design and validation of more than 20 circuit boards. Before that, led a drone-systems engineering team working with external contractors.

Free 30-minute intro call

Briefly describe the workflow you want to automate — or the specific project you want to discuss.

We review your request and come back with the appropriate next step.

Book a call

30 min · Online · free

Send a message

Contactnikita.r@rytech-innovation.com