AvanturinAfter assessment
Multi-agent systems
Several specialized agents that solve a complex task together.
What it is
We split the work into roles: researcher, doer, reviewer. We only take this on where a single agent clearly falls short, because such a system is more complex and costs more to run.
Typical problem
A long task falls apart in a single agent: it loses context and does not check itself.
What you get
- Scheme of roles and work handover
- Orchestration and spending limits
- Execution tracing
Who it is for
- Medium-sized businesses
- Large companies
- Startups and founders
Related services
Related solutions
Questions
Will the AI make mistakes?
Yes, any model sometimes gets things wrong. That is why we measure quality on your examples, show the sources of each answer and pass disputed cases to a person.
Where does our data go?
This is decided before work starts: an external API with suitable terms, a private cloud or a model on your own server. The choice depends on how sensitive the data is.
Which model do you use?
We choose for the task and budget, and build the architecture so the provider can be changed.
Tell us what needs to be built
We will tell you whether it can be done, how and roughly for how much. No obligation.