Declare the ontology
Make the enterprise’s concepts, relationships, rules, and reasons explicit. This becomes the contract for knowledge and action.
Outcome: Shared meaning
Ontology-to-Operationsopen-source foundation
Reliable enterprise agents begin with declared meaning.
Cynergis.ai embeds with your team to turn enterprise meaning into governed knowledge graphs, then builds agents that reason and act from that foundation—aligned, citable, and secure by construction.
- Compiled
- Cited, dated facts
- Governed
- One graph per domain
- Operated
- Agents from the graph
Compilation model active
Ontology · controlled vocabulary
Knowledge graph · governed evidence
Agent · Verifier · Studio
Meaning is declared once. Knowledge is compiled from it. Action is carried out from the same graph, with evidence written back.
Enterprise meaning becomes a controlled ontology before a single agent is deployed.
Cited and dated facts compile into one governed knowledge graph per domain.
Agents operate from those graphs, with evidence treated as trust infrastructure.
The method
From enterprise meaning to running agents
A single, auditable pathway connects what the enterprise means, what it knows, and what its agents are allowed to do.
Compile the knowledge graph
Transform documents and conversations into cited, dated facts. Reject what breaks the ontology; supersede what changes.
Outcome: Governed context
Operate through agents
Define agents and their permitted actions from the same graph. Verify outputs and write operational evidence back into the system.
Outcome: Bounded execution
Services
Forward-deployed engineering, not generic AI consulting.
We work inside the problem with your domain experts and engineers, building the system and transferring the method as we go.
Ontology strategy & design
Turn the language, rules, and decisions of your domain into a controlled vocabulary your people and agents can share.
Enterprise knowledge graphs
Compile cited, dated, versioned knowledge into a governed graph for each domain—and connect them into an enterprise mesh.
Agent systems
Define agents, skills, tools, and permissions from the graph so they operate inside the boundaries your enterprise declares.
Governance & evaluation
Build verification, evidence trails, human gates, and evaluation into the system instead of adding controls after deployment.
Team enablement
Teach your teams the ontology-to-operations method through hands-on work with their own knowledge and use cases.
Embedded delivery
Work alongside a forward-deployed engineer from first domain model through production operation and capability transfer.
How we work
Build the capability, not the dependency.
The work starts in one high-value domain and ends with a team that can extend the graph, govern the knowledge, and operate the agents without us.
- 01
Discover
Choose a consequential workflow, map its decisions, sources, actors, controls, and operational risk.
- 02
Build
Create the ontology and graph with your experts, then connect agents to real work through explicit tools and permissions.
- 03
Prove
Evaluate on real cases, verify claims against evidence, and establish human gates where judgment must remain accountable.
- 04
Transfer
Name owners, document the operating model, and coach your team until the capability is genuinely theirs.
Open-source foundation
Built on OTO—open, free, and inspectable.
OTO is the open-source system behind the practice. The Agent reads and proposes. The Verifier refuses what does not comply. The graph compiles and serves governed knowledge. The Studio lets people inspect and shape it.
The Agent
Reads sources, proposes knowledge, and carries domain skills into the work.
The Verifier
Checks the proposed graph and refuses what the ontology does not declare.
The Knowledge Graph
Keeps every fact dated, cited, versioned, and connected to enterprise meaning.
The Studio
Makes the graph visible and reviewable for the people who own the domain.
Start with one domain
Turn enterprise knowledge into agents you can trust.
Bring us the workflow, domain, or decision where reliable context matters most. We’ll identify the right first ontology-to-operations engagement.
Book an introductory call