ISO 27001:2022 Certified. AICPA SOC Audited.

AI automation for manufacturing. Put your defect history, manuals and data to work.

We build AI on what your operation already has: defect reports, SOPs, manuals, customer feedback and production data. Technicians get resolution steps, staff get answers in their own language, and managers get reports without waiting. Your engineers review what it suggests.

Already delivered for manufacturers, including a global construction equipment maker. See what changed

Catch and fix defectsQuality
  • Defect reports classified
  • Matches to past fixes
  • Resolution steps for technicians
  • Recurring issues flagged
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Answer your teamsKnowledge and policies
  • SOPs and manuals searchable
  • Answers in the worker's language
  • Policy questions for HR
  • Every answer shows its source
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Hear your customersCustomer insight
  • Reviews and tickets in any language
  • Sentiment by product
  • Issues grouped and counted
  • Weekly summaries
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See the numbersReporting
  • Questions in plain English
  • Charts generated for you
  • Production and sales data
  • No report queue
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Runs every dayWhat AI handles
What AI handlesReads each defect report, matches it to past fixes and suggests resolution steps
What AI handlesAnswers staff questions from your SOPs and policies, in their language
What AI handlesTranslates and sorts customer feedback by product, issue and sentiment
What AI handlesTurns plain-language questions into charts from your data
Wisdom SquareWhat our team does
What our team doesConnects your defect logs, manuals and fix history, then tests on real cases
What our team doesLoads your documents and sets who can see what
What our team doesConnects reviews, support tickets and warranty data
What our team doesConnects your data sources and checks results against your existing reports
Underneath it allYour engineers approve what AI suggestsWorks with the systems you already useNo platform bias: Azure OpenAI, AWS Bedrock or others, per workflowISO 27001:2022 and AICPA SOC controls
Area of the operation What AI handles What our team builds and runs
Built for manufacturers already

Six manufacturing projects delivered, from defect resolution to multilingual policy answers.

Each one was built and run by our team as a managed engagement, on the client's own documents and data.

Global construction equipment manufacturerDefect identification and resolution8-week build
Manufacturing group, Middle EastMultilingual policy assistant for employees14-week build
Agricultural products companyInformation retrieval across company documents21-week build
Home appliance manufacturerTranslation and sentiment analysis of customer feedback15-week build
Agricultural equipment manufacturerAutomatic charts from business data14-week build
Adhesives manufacturerCustom AI assistant for staff28-week build
Weeks from kickoff to delivery across these six projects
Certified consultants across cloud, data science and generative AI
The year we started building software and IT for US businesses
Quality

Every new defect report checked against the fixes you've made before.

Your defect history holds the answer to most new problems, but nobody has time to search it. AI reads each new report, finds similar past cases and suggests the steps that fixed them. Your engineers decide what happens next.

  • Defect reports read and classified
  • Similar past cases found automatically
  • Resolution steps drafted for technicians
  • Recurring issues flagged by part or line
  • Engineer review before anything is closed
  • Every fix added to the history
AI matches and suggestsWe connect your defect history
New defect reportsample
Hydraulic leak at boom cylinder sealLine 3, final inspection
Seal seated incorrectly at assemblyMatched 4 past cases
Worn seal batch from one supplierMatched 2 past cases
Cylinder rod surface damageMatched 1 past case
Suggested steps sent to the shift engineer for review
Knowledge and policies

Answers from your SOPs and policies, in the language your team speaks.

Staff ask the same questions every shift, and the answers sit in documents few people read. An AI assistant answers from your own SOPs, manuals and HR policies, in the worker's language, and shows the document it used.

  • SOPs, manuals and policies in one place
  • Questions and answers in many languages
  • The source document shown with every answer
  • Access set by role
  • Questions it can't answer go to a person
  • Updates when your documents change
AI answers from your documentsWe load them and set access
Team assistantsample conversation
Operator, night shift¿Cuál es el procedimiento de bloqueo para la prensa 2?
AssistantApague la prensa en el panel principal, coloque su candado y etiqueta en el interruptor 2B y verifique que no haya energía antes de empezar.
SOP-114, section 3
Operator, night shiftCan I swap shifts with a colleague next week?
AssistantYes, with your supervisor's approval at least 48 hours ahead. I've linked the request form.
HR policy 7.2
Customer insight

Every review and ticket read, in every language, sorted by product and issue.

Customer feedback arrives in reviews, support tickets and warranty claims, often in several languages. AI translates it, tags each item by product, issue and sentiment, and sends your product and quality teams a summary of what's changing.

  • Reviews, tickets and warranty claims together
  • Translation into English
  • Sentiment by product and model
  • Issues grouped and counted
  • Weekly summary for product teams
  • Links back to the original feedback
AI translates and sortsWe connect your feedback sources
Customer feedbacksample week
"The lid seal leaks after a month."NegativeModel A2 · Review · English
"La tapa gotea cuando está llena."NegativeModel A2 · Ticket · Translated from Spanish
"Quiet motor, easy to clean."PositiveModel B1 · Review · English
Top issue this week: lid seal on Model A2, across reviews and tickets in two languages.
Reporting

Ask a question about your data. Get the chart.

Managers wait days for reports that are a single question. AI turns a plain-English question into a chart from your production and sales data, and our team checks the results against the reports you already trust.

  • Questions in plain English
  • Charts generated automatically
  • Production, quality and sales data
  • Works with Power BI and Snowflake. Pending sign-off.
  • Results checked against existing reports
  • Access set by role
  • Charts ready to share
AI builds the chartWe connect and check your data
Ask your datasample
Scrap rate by line, last quarter
Line 1Line 2Line 3Line 4

Line 2 is highest. Ask a follow-up to see it by shift.

How an engagement starts

We start with your operation, not a software pitch.

  1. 1

    Process review

    We map where your teams spend time searching, re-keying and waiting on reports. You keep the map either way.

  2. 2

    Economics

    For each workflow we compare build cost against hours recovered, so you see which ones pay back.

  3. 3

    We tell you what's not worth it

    Some workflows don't clear the bar for automation. We say so before you commit, and we don't build them.

  4. 4

    Pilot, then scale

    We build one workflow end to end, tested on your real data. Once it proves out, we work down the list at your pace.

Security and reliability

Built to be trusted on your plant floor.

People stay in charge

AI suggests. Your engineers and managers approve before anything is changed or closed.

Certified controls

We hold ISO 27001:2022 certification and an AICPA SOC report.

Tested before launch

Every workflow is tested on your real data and edge cases before it goes live. Pending sign-off.

Kept accurate after

We monitor results and retrain when your products, suppliers or data change. Pending sign-off.

Questions

What firms ask us first.

Request a process review

A hire adds salary, benefits, training and management time, and takes months to recruit and ramp. Automation handles specific repetitive work, like searching defect history or building routine reports, and scales with your volume. Some work still needs a person. We compare the cost of both for each workflow before recommending anything.

Suggestions go to an engineer, never straight to the line, and each one shows the past cases it was based on so it can be checked quickly. Every workflow is tested on your real data before it goes live. Pending sign-off.

We're not tied to any platform. We build on SAP, Microsoft, AWS, Salesforce and ServiceNow, among others. Pending sign-off. Where your systems have an integration we use it, and where they don't we use other methods. We confirm what connects to your systems during the process review.

Yes. Where your data is sensitive, we can host the AI model privately in your own cloud environment instead of using a public service. Pending sign-off.

We monitor how each workflow performs. When your products, suppliers or data change, we update and retrain it so the answers stay accurate. Pending sign-off.

Your team joins the process review call, shares the documents and data involved, and checks the results during the pilot. We do the mapping, building and testing.

It depends on the workflow, the systems involved and how much customization it needs. We estimate the build cost for each workflow alongside the hours it recovers, so you can prioritise by payback.

We have a US office in New Hyde Park, NY, and our delivery team is in Bengaluru, India. Calls and reviews run in US business hours.

Free · No obligation

Request your process review.

Tell us where your team loses the most time: intake, client calls, drafting or deadlines. We'll come back with a shortlist of what's worth automating, and what isn't.

  • 30-minute call in US business hours
  • A workflow map you keep
  • A straight answer on what doesn't pay back

We'll never share your details. We reply within one business day.