GTM intelligence
Connect customer signals and internal knowledge to prepare research, guide decisions and coordinate follow-up.
Cherragon / Enterprise AI operating system
Build AI systems that understand and operate your business.
Connect your knowledge, systems and processes. Build agents and workflows that put your expertise to work—on infrastructure you control.
Use your data where it is.
02 / The system
From enterprise knowledge to action.
Each source takes the path it needs into shared knowledge. Context, reasoning and policy guide the work; evidence and feedback follow it through to action.
03 / What you can build
Your expertise, built into the work.
One foundation for many kinds of AI-powered operations and applications. These are possibilities, not customer deployments.
Knowledge automation
Turn changing documents and systems into usable knowledge with sources and evidence attached.
Intelligent workflows
Combine software, agents and human approvals in processes that can act across enterprise systems.
Expert systems
Put specialist rules, experience and judgement to work in a domain-specific application.
04 / The platform
Understand. Build. Operate.
From prepared knowledge to reasoning and execution. Context infrastructure is the foundation we are building now; the wider operating layer is the direction.
Understand
Connect systems and turn records, documents and decisions into traceable knowledge. Give each task the context and evidence it needs.
Ingestion · Knowledge IR · Retrieval · EvidenceBuild
Define reasoning capabilities and compose agents, software steps, approvals and workflows around the way your business works.
Reasoning · Skills · Agents · WorkflowsOperate
Run work with identity, permissions and policy. Inspect decisions, review exceptions and improve the system with evidence from each run.
Execution · Governance · Review · Feedback05 / Process redesign
Redesign the process, not just the task.
Map the rules, decisions, exceptions and approvals behind the work. Then decide what software should handle, where an agent should reason and what must stay with a person.
Domain experts bring the operating knowledge.Engineers bring the systems expertise.Cherragon gives them a shared platform to build on.
- 01Remove what no longer needs to exist
- 02Make repeatable steps deterministic
- 03Use agentic judgement where it adds value
- 04Run independent work concurrently
- 05Keep critical decisions human-controlled
- 06Preserve the guarantees that matter
06 / Two ways to build
One foundation. Your way of building.
Business teams and developers should work from the same knowledge, capabilities and controls—not rebuild them for every application.
Shape work visually.
Use the developing console to connect knowledge, model processes and compose agents with human decisions.
Build on shared infrastructure.
Use evolving programmatic interfaces to embed knowledge, reasoning and orchestration in your own product. Broad developer access and YAML-defined workflows remain planned.
07 / Enterprise ownership
Your enterprise knowledge stays yours.
Enterprise knowledge is more than documents and rows. Processes, decision logic, exceptions, internal skills, operating procedures and agent traces can be trade secrets too.
Use your data where it is. Cherragon brings the AI infrastructure to your data and operating knowledge, with control over where information is processed, stored, indexed and sent.
External model and embedding providers remain an explicit customer choice.
CherragonControl plane
DeploymentsConfigurationFleet healthReleases
Coordinates software, policy and fleet state.
Your environmentCustomer data plane
KnowledgeProcessingIndexes + graphsAgent execution
Builds context and runs agent work where your enterprise controls it.
08 / Building Cherragon
Build the system your business needs.
Bring your expertise. Keep control of the infrastructure.
Join the waitlist to hear when early access opens.
Discuss a use case