Source
Express accepted intent
Entities, relations, transitions, processes, policy, authority, and requirements become readable, versioned definitions.
About
Cohesive makes system meaning explicit.
Cohesive Systems is building a language and toolchain that turns accepted product decisions and technical constraints into durable system knowledge. That knowledge stays connected to code, infrastructure, and runtime evidence.
Why Cohesive exists
Important system meaning is usually spread across product decisions, code, schemas, interfaces, workflows, infrastructure, operational tools, and team memory. Every meaningful change requires people and agents to reconstruct the rules and determine which account is authoritative.
Cohesive gives accepted decisions a durable home. Readable semantic source accumulates into a semantic system graph that connects domain meaning, system structure, operational requirements, realizations, and evidence.
What the company is building
Compilation
Connect the system
Compilers resolve shared identities and dependencies into graph state, semantic diffs, diagnostics, and task-specific context.
Realization
Stay connected to what runs
Typed mappings connect meaning to code, schemas, APIs, workflows, interfaces, infrastructure, tests, and runtime evidence.
Cohesive supports agents in two places. Agentic development uses the graph to understand and change a system. Agentic interaction uses its declared actions, processes, policy, and authority while the system runs. Both work from the same accepted intent and evidence.
How the work develops
Adoption can begin with one entity, relation, process, or integration. Existing databases, services, workflows, and interfaces continue to do the work while Cohesive makes their meaning and obligations easier to inspect.
The language has to earn its place in real systems. The building blocks, compiler tooling, knowledge graph, examples, and products are developed together so the ideas remain testable against implementation.
Technology
Explore the building blocks
See the language and runtime components used to describe and realize systems.
Product
Meet Ari
Explore semantic and statistical inference for connecting data models.
Origins
Cohesive Systems was founded by Leo Gorodinski after more than 25 years building and scaling B2C and B2B systems. Across product, engineering, and operations, the same problem kept recurring: important system meaning was scattered across code, tools, and team memory. Cohesive grew from that experience.
Explore the ideas
Vision
Vision overview
Read the central argument for durable system intent, semantic source, and compiler-driven realization.
Vision
Cohesive and AI
See how the same graph supports agentic development and agentic interaction.
Knowledge
Cohesive system model
Explore the definitions behind the language, system graph, operational requirements, and realization model.
Library
Technical articles
Read the longer arguments about semantic systems, compilation, capability, coordination, and software evolution.