C2 STUDIO
Create operational AI. Adapt it as situations change.
Turn domain knowledge, live data and operational rules into context-aware decision support.
C2 Studio is a no-code environment for modelling complex operations, configuring AI knowledge bases and supporting resource allocation in real time. Create and update operational AI capabilities through a unified interface, with visibility into confidence, uncertainty and missing information
C2 Studio combines Think!, Infinit AI’s neuro-symbolic engine, with K NET, its unified no-code interface.
Your expertise. Operational AI
Operational decisions depend on more than data. They also depend on context, objectives, constraints and the knowledge of the people responsible for them.
C2 Studio brings these elements together through editable knowledge bases and operational rules. Configure how your AI interprets situations and supports decisions, then adapt that configuration as requirements evolve.
- Model operational situations and resource allocation.
- Create and configure knowledge bases without writing code.
- Support decisions with contextual recommendations.
- Update knowledge bases and rules as conditions change.
- Deploy through private SaaS or on-premises options.

From operational knowledge to actionable recommendations
Operational decisions depend on more than data. They also depend on context, objectives, constraints and the knowledge of the people responsible for them.
Model your operational environment
Represent operational scenarios, available assets and the rules that govern their use. Support planning and resource allocation while maintaining an up-to-date common operational picture — a shared view of the current situation.
Create AI capabilities without writing code
Use K NET, Infinit AI’s no-code interface, to create and configure knowledge bases, rules and thresholds. Translate domain expertise into structured knowledge that the Think! hybrid AI engine can use to support operational decisions.
Make uncertainty visible
Receive context-aware decision support with confidence scores, uncertainty indicators and visibility into missing data. Assess recommendations alongside the information available, rather than treating every output as equally certain.
Adapt recommendations as situations evolve
Support resource allocation and adjust operational recommendations as conditions change. Keep decision support aligned with the evolving operational picture.
Update knowledge bases live
Modify and deploy knowledge bases across heterogeneous devices. C2 Studio supports live knowledge-base updates without retraining or service interruption.
Connect
Integrate C2 Studio with Incident & Log Intelligence or Drone Swarm to connect detected incidents and information with operational rules.
Configure. Deploy. Adapt
Operational decisions depend on more than data. They also depend on context, objectives, constraints and the knowledge of the people responsible for them.
1- Define the operational context
Model the situation, resources and operational rules relevant to your use case.
2- Structure your knowledge
Create or adapt knowledge bases through the no-code interface. Configure the rules and thresholds that guide decision support.
3- Deploy AI capabilities
Deploy the configured knowledge bases to the relevant operational environment and supported devices.
4- Review and adapt
Use contextual recommendations and uncertainty indicators to support decisions. Update knowledge bases and rules as operational needs change.
Bring your operational expertise into AI
Explore how C2 Studio could support your planning, coordination and decision-making requirements with our SaaS solution or a tailor-made development.