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AI PARTNER FOR MANUFACTURING AND INDUSTRY

We make industrial companies AI-first

We map where AI pays off in your business, build the knowledge base, automate the manual processes, and run it in production.

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EU-hostedWorking with Fortune 500 companies
Alex BigumSebastian BøgeSimona KjærgaardMette Meyer ThuesenJakob Toft
Read what our customers say
TRUSTED BY TEAMS AT

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THE STARTING POINT

You have tried ChatGPT. Someone in sales uses it. Nobody knows what it has actually delivered.

Scattered experiments are not an AI strategy. Almost every industrial company we meet is in the same three places at once.

01

A pilot that never left the pilot

Someone ran a proof of concept last year. It proved the technology works. It did not change a single process.

02

Tools nobody owns

Sales uses one assistant. Service uses another. IT knows about neither. No shared knowledge, no audit trail, no way to measure the return.

03

Knowledge locked in heads and PDFs

The answers exist. They sit in service manuals, closed tickets and the two engineers everyone calls. None of it is where the work happens.

The gap is not the model. The gap is the plan, the knowledge base and someone who runs it in production.

CASE · BUILDING TECHNICAL SERVICES

It is a true pleasure collaborating with Opero, who deliver AI solutions of the absolute highest quality. Their deep technical expertise combined with a fantastic understanding of our business makes a huge difference. They are innovative, professional, and always ready to go the extra mile to ensure the best result. We could not wish for a better partner to shape our digital future and look forward to our continued collaboration.

Jakob Toft Jakob Toft CEO · Nordic Electric

Technical knowledge was the bottleneck in every sale

Nordic Electric builds custom electrical solutions for critical infrastructure. Buyers needed answers, and the sales engineers who held them spent their days answering the same questions instead of doing the work only they can do. We embedded AI in the commercial process itself, then kept going until it ran the paperwork around it as well.

Read the story
What they run on Opero
  • CRM automation Opero writes the record, the follow-up and the handover back into the CRM, so nobody retypes what was already said.
  • RFP and RFQ handling Opero reads the tender material, finds the matching products and drafts the response against their own documentation.
  • White-label support page A branded page where their customers ask in their own words and get answers from a curated set of documents.
Seconds
to a technical answer, not days
RFQ
drafted straight from tender material
Live
shown on stage at EL & TEKNIK
HOW WE WORK

We set the plan, build the solution and run it in production

Four stages. Six weeks to the first production workload. You own the knowledge base and the result at every step.

  1. Weeks 0 to 2

    Assessment

    We map how your business actually runs and score where AI pays off. You get a ranked list of use cases with the value and the effort next to each one, and a plan for the first.

    You getRanked use cases, business case, first-build plan
  2. Weeks 1 to 3

    Knowledge base

    We connect your manuals, tickets, drives and ERP records, then index them so every answer cites the document and the page it came from. This is the asset everything else is built on.

    You getIndexed corpus, citations, access rules
  3. Weeks 3 to 5

    Workflows

    We automate the manual processes around that knowledge: inbound email, quotes, RFQ responses, fault reports, parts lookups. Each one starts on a trigger and ends in a system you already run.

    You getLive workflows, agents, integrations
  4. Week 6 onward

    Run and roll out

    We take it to production, train the teams who use it, and keep it running as your documents and your models change. You see who asked what, which model answered, and which document it cited.

    You getProduction support, adoption, audit log
Book an assessment Stage one stands on its own. Stop after it and you keep the plan.
CASE · PRODUCTION MACHINERY

A technician with limited product knowledge found the right solution through the Opero AI agent and resolved the issue without interrupting a colleague who was out with customers. It’s a great help for service technicians, because they can ask questions in their own words and quickly get a usable answer.

Mette Meyer Thuesen Mette Meyer Thuesen Service & IT-manager · Nize Equipment

Eighteen years of service knowledge, none of it searchable

Nize services large-format print and finishing machinery across the Nordics with a small, senior team. The knowledge sat in PDFs on a network drive and in the heads of two engineers. We indexed 1,400 service documents, tagged the revisions so no answer ever cites a superseded bulletin, and put the agent in front of the technician.

Read the full case
What they run on Opero
  • Knowledge agent for technicians Chat and voice against the full service corpus, with a citation back to the page of the manual every answer came from.
  • Document processing Three OEM product families, two languages and twelve years of revision history, indexed and kept current.
  • Agents and workflows on the ERP Fault reports, parts lookups and service records that start on a trigger and finish in the system they already run.
60%
fewer L2 escalations in 90 days
4.1×
faster onboarding for new techs
92%
technicians active every week
WHAT WE BUILD WITH

The platform behind the work

Seven tools on one platform, hosted in the EU. This is what we assemble your solution from, not the offer itself. Pick one to see what it does.

TOOL 01

Chat

Ask anything. Get answers from your own data.

One simple chat connected to every top AI model. Ask in your own words and get answers based on your company's documents — not the public internet.

→ Switch between GPT, Claude, Gemini and more
→ Answers point back to your own files
→ The same easy screen for every team
Opero · Chat Claude Sonnet ▾
TODAY
Why won't pump P-12 build pressure?
O
Likely the relief valve setting or air in the suction line. Try these three checks first — they fix it most of the time.
service_manual.pdf P-12_spec.pdf
Cited 2 sources · answered in 1.4s
Ask anything about your equipment…
↑
INTEGRATIONS

Connect the tools you already run

Opero plugs into hundreds of apps and systems — from your ERP and CRM to chat, docs, and email. Your AI works with your real data, not a copy.

100s of integrations · built-in & custom

Microsoft 365 Google Workspace Slack Salesforce SAP ServiceNow HubSpot Jira Outlook SharePoint Confluence Teams + 100s more
05 · GOVERNANCE & EU HOSTING

Full transparency. Full traceability. Full control.

This is the part that lets everything else happen safely. You choose which models run, which data is connected, and who can access what. Every action is logged.

Hosted in the EU, on your own cloud or on-premise if you need it. Your legal and security teams will finally say yes to AI.

“AI for industrial use, grounded in our own documentation. A tremendous help for our end users.”

Simona Kjærgaard · Aftersales Development Specialist · Leica Geosystems
admin.opero · data flow Everything here stays under your control
DATA SOURCES
PDFs & manuals
Business Central (ERP)
Emails & contracts
VoiceBot field reports
CONTROL LAYER EU
01
Knowledge indexing
Processes & categorises
02
LLM router
Claude · GPT · Gemini
03
Prompt governance
Logs every query & source
04
Access control
Internal vs external users
05
Source citation
Page-level document tracing
06
Audit log
Who asked what, and when
PROVIDERS
Anthropic Claude
OpenAI GPT
Gemini (Google)
END USERS
Internal staff · chat & voice
External customers · portal
Which model · which document · who asked · when
CUSTOMER VOICES

Built with teams who fix real things

From service technicians on the floor to CEOs, across industry and field service.

“It genuinely works. When I chat with it, I get the knowledge I need — instead of calling the office and asking a hydraulic engineer. When it comes to solving a specific problem, it generally provides suggestions on how to resolve it, and that works really well. It’s already a big help.”

Alex Bigum
Alex Bigum
Service technician · Hydraulico

“Opero is a great help to me — both in troubleshooting technical issues, performing technical analysis, quickly onboarding new employees, and serving as an efficient information archive. It makes my work much more efficient.”

Sebastian Bøge
Sebastian Bøge
Technical Field Engineer · Marine Fluid Technology

“We decided to collaborate with Opero because we saw a value in their product. During the development process we always got the support we needed and the guys from Opero were very quick, proactive and open for any discussions or suggestions. The AI integration for industrial use, based on specific documentation, is going to be a tremendous help for our end users.”

Simona Kjærgaard
Simona Kjærgaard
Aftersales Development Specialist · Leica Geosystems
QUESTIONS

The things buyers ask first

Hosting, data handling, timelines and languages. Ask us anything else on a call.

01 What is an assessment, and what do we get out of it?
It is the first two weeks of our method. We interview the people who do the work, map the processes around them, and score every candidate use case on value and on effort. You get a ranked list, a business case for the top of that list, and a build plan for the first one. It stands on its own: if you stop after the assessment, you keep the plan.
02 Are you a consultancy or a software vendor?
Both, on purpose. The platform is ours and it is hosted in the EU, so you are not paying us to assemble someone else’s tools. The assessment, the knowledge base and the workflows are delivered as work, not as a login and a hope that adoption happens. We set the plan, we build the solution, and we run it in production.
03 Where is Opero hosted? Can it run on-prem?
Opero is hosted in the EU by default, with full GDPR alignment and a sovereign-deployment option for regulated customers. On-prem and private-cloud deployments are available for customers who need them — typical timeline is 4–6 weeks to a private install.
04 Do you train models on our data?
No. We don’t train models on customer data — not yours, not anyone else’s. Opero grounds an LLM in your documents at retrieval time, so every answer is sourced from your corpus without your content ever entering model training. Because no training pool exists, there is zero risk of one customer’s data appearing in another customer’s answers. Audit logs on request.
05 How long does an Opero deployment take?
A typical first-production deployment ships in under 6 weeks. We onboard a starter knowledge base in the first 2 weeks, run a pilot with one team in week 3, expand integrations in weeks 4–5, and graduate to production in week 6.
06 Which languages are supported?
English, Danish, Swedish, Norwegian, German, French, Spanish, Italian, Polish, Dutch out of the box. Other languages on request — most are a 1-day enablement task.
07 How is Opero different from Microsoft Copilot or ChatGPT?
Copilot and ChatGPT are general-purpose tools you buy and then have to make useful yourself. Opero is a partner for manufacturing and industry: we run the assessment, build the knowledge base on your manuals and ERP records, automate the processes around it, and keep it running. The platform ships with parts-aware reasoning, RFP automation, a voicebot and a whitelabel support portal, none of which you have to build. See our compare page for a row-by-row breakdown.
08 How do you protect against prompt injection / data leakage?
Every retrieval is constrained to the calling user’s permission set. Outbound calls (e.g. PO generation) require explicit confirmations. We red-team every deployment before go-live and re-run the suite on every model upgrade.
09 Do you offer support in our local time zone?
CET-hours support is included with every contract. 24/7 cover is available as an add-on. Most customers are in Northern Europe and we run the support out of Copenhagen.

Start with an assessment

A ranked list of where AI pays off in your business, and a plan for the first one.

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