Engineering agent
- Model and calculation preparation
- Simulation output analysis
- Assumption and technical document review
AI agents specialized in your field of work
An agent built on your work, not a general chat window.
We build specialized agents for professional work, in engineering, law, finance and more, inside the organization's working environment and on its own sources, tools and methodology, to fit what it needs. The agent completes compound tasks and documents what it did. The decision stays with your specialists.
Fields we build agents for
Legal agent
- Referenced legal research
- Memoranda and contracts drafted and reviewed
- Regulations tracked
Finance agent
- Document cycle and entries
- Periodic reports
- Statutory obligations tracked
Research and review agent
- Documented research and review
- Summaries linked to their sources
- Periodic reports and analysis
Workflow automation
- Automated steps, approvals and follow-ups
- Systems, files and data integrated
- Multi-agent teams for compound tasks
An agent for your profession
Any professional work with sources and a method can have an agent built for it. We start with one task and measure the result before expanding.
What makes an agent trustworthy
- Works on your libraryYour documents, definitions and methodology, not only general knowledge.
- Documents every outputInputs, actions and references are logged for the specialist to review.
- Defined permissionsEach agent has a clear scope and sends nothing outside the organization without human approval.
- Measured before it runsTested on cases from your own work, and given a wider scope only on proven results.
- Works with your toolsHandles your files, systems and specialist tools to get the work done.
- The decision stays yoursThe agent executes and documents. Professional judgment and responsibility stay with your specialists.
How we build an agent
- Step 1
Understand the work
We map inputs, steps and decision points, and find where effort repeats.
- Step 2
Build and connect
We turn your method into an executable flow and connect it to your sources and systems.
- Step 3
Test and measure
We test normal and critical cases, and measure output quality before any expansion.
- Step 4
Run and improve
We monitor performance and the decision log, and improve the agent from real use.
We build and test our method inside INFIRAD first.The company's daily work in engineering, simulation, finance and research is run by a team of specialized agents under human oversight, and that experience is what we build our clients' agents from.
Starting point: one repetitive or complex task in your field.