Technical knowledge
Engineers spend time finding the right manual and revision.
Retrieve relevant instructions with an equipment reference and source document.
AI implementation for manufacturing
Turn equipment manuals, operating procedures and maintenance records into a practical resource for engineers and shift teams. Reduce repetitive work in reporting and service requests.
Your dataDocuments, procedures and business systems
A measurable pilotOne workflow and agreed acceptance criteria
One delivery teamFrom infrastructure to user support
Where AI reduces repetitive work
Start with repeatable operations that have usable source data and a clear way to check the result.
Shift reports
Shift notes and incident reports arrive in different formats.
Prepare a consolidated draft linked to the production area and equipment.
Maintenance requests
Service tickets often lack the context needed by the maintenance team.
Extract the issue, equipment details and previous work for an engineer to review.
How a task moves through the system
AI prepares the output. Access rules, review steps and escalation paths are defined before launch.
- 01
Employee describes the task
- 02
AI retrieves relevant records
- 03
A response or ticket is drafted
- 04
Engineer reviews the next step
Technology selected for the task
The architecture depends on your data, workload, languages and hosting requirements.
Answers grounded in your documents
RAG and BGE-M3 semantic search retrieve relevant passages from your knowledge base. Source references let employees check the information behind an answer.
We evaluate retrieval and answer quality using a reference set of questions. Requests with insufficient evidence are passed to staff.
Models adapted to your workflow
Our stack includes Qwen 3, Gemma, Mistral Small and DeepSeek-R1. We evaluate models against your use case and scope adaptation or fine-tuning when the data supports it.
Structured data from different formats
Process documents and spreadsheets and extract information from scans and images. GigaAM supports Russian speech workflows; speech recognition for other languages is selected and tested separately.
From a draft to an assigned task
AI agents prepare documents, tasks, notifications and approval steps. Actions with business consequences follow agreed rules and require approval where specified.
Your existing systems. Clear integration boundaries.
We assess integration with your ERP, CMMS, maintenance systems, email and your intranet.
Discovery covers available interfaces, data fields and read/write permissions. If an API is unavailable, we agree a file exchange or another integration method before estimating the project.
Your environment. Your access rules.
Deploy on agreed infrastructure: dedicated servers, virtual machines or containers. We agree hosting locations, data flows and processing arrangements with your IT team before any project data is transferred.
Access and isolation
Role-based permissions, Active Directory, VLANs, VPNs and isolated environments.
Operational controls
Activity logs, backups, restore checks and availability monitoring.
Quality and support
Answer evaluation, model error reviews, knowledge base updates and a user support channel.
Equipment settings, maintenance decisions and operational safety remain with qualified staff. Connections to production control systems are scoped separately.
Measure the impact on your workload
Establish a baseline, then compare it with the pilot. The number of generated answers alone does not demonstrate savings.
Time to find an instruction
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Accuracy of source references
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Time to prepare shift reports
Compare the existing process and AI-assisted work on a representative set of equivalent tasks.
Time released × hourly costCompare the potential value with infrastructure, model, support and review costs.
From discovery to ongoing support
You receive the architecture, integration documentation and operating procedures needed to run the solution.
- 01 / Discovery
Workflow and data
Choose the process, source materials and acceptance criteria.
- 02 / Design
Architecture and estimate
Agree hosting, integrations, cost and delivery scope.
- 03 / Pilot
Evaluation in practice
Configure the solution and review quality with your team.
- 04 / Operations
Handover and support
Train users, hand over documentation and support the system.
Start with one workflow
A possible starting point: Knowledge search for one equipment family.
Scope, timing and budget follow an assessment of your workflow and data.
georgia@dinesco.com ↗+995 595 245 159