Review inspection findings
Organize observations from inspection reports into a structured list. The responsible engineer reviews details and priorities.
AI for your industry
Give engineers more time for the decisions that matter
AI for technical documents, reports and maintenance history. Help teams gather information while specialists stay in charge of decisions.
An example workflowEnergy
Inspection report + asset history
AI Router
For your team
Review inspection findings
Organize observations from inspection reports into a structured list. The responsible engineer reviews details and priorities.
Your specialist reviews the result
Energy
Start with the work your team does every day
Choose a clear workflow. Connect suitable models through the API and test the results on your own materials.
Find the right technical guidance
Search technical documents and operating procedures for information your team can verify against the source.
Bring together asset history
Summarize repairs, inspections and past observations to help engineers prepare for an asset review.
Prepare a management report
Turn lengthy operational reports into a clear brief with the questions that need a decision.
One company service for different teams
Useful models for staff. One integration for IT. Clear spending for management.
Match the model to the work
Compare answers on the same examples. Use different models for straightforward and demanding tasks.
Model cataloguePurchase as a company
Bring model access into one service. Agree a contract and payment arrangement for your organization.
Pricing and paymentKZ
Local inference
Need to process data in Kazakhstan?
Discuss running suitable open models on local infrastructure. Choose deployment for your data, workload and company requirements.
AI on Kazakhstan infrastructureHow to start
Begin with one team and one clear task. Use the results to decide what to connect next.
What should we bring to the first conversation?
Describe the process you want to simplify: who does it, which materials they use and what a good result looks like. Bring a few anonymized examples.
Can we add AI to our own system?
Yes. Connect models through the API to your app, knowledge base or internal service. Your IT team can use the documentation and get help choosing models.
How do we evaluate the value before expanding?
Compare AI-assisted work with your current process on the same tasks. Review quality, staff time and request costs. Agree what success looks like before starting.
Find the right AI workflow for your team
Tell us what you want to achieve. We will help you choose models and a plan.
Connect your company