Closed-loop operations that sense, decide and act across your estate, built on deep domain knowledge of how each industry runs.
Every agent defined, approved, versioned and observed in one place, whichever runtime it runs on.
A live knowledge graph that grounds every agent in your policies, procedures and exceptions, with each answer traced to its source.
Legacy data and pipelines converted, validated and made ready for AI, so every use case after the first starts from a clean foundation.
Every action is grounded in what your enterprise knows. Every fault, fix and human correction updates that knowledge, so the same error isn't made twice.
01 – Semantic Memory
Services, call graphs, data lineage and business rules.
02 – Procedural memory + SLM
Runbooks and standards, reasoned over in-environment by a domain-tuned small model.
03 – Episodic memory
A fault diagnosed once is handled by the substrate on every engagement after it.
A fault diagnosed once is handled by the substrate on every engagement after it.
Lower spend, full ownership, and models matched to the task.
Each one compounds as you scale.
Context Substrate builds the knowledge. Autonomous Operations puts it to work.
Every action accounted for.
In your environment: as containers in your own AWS, Azure or GCP account, on premise, or hybrid. Your data, context and agents stay inside it.
No. Each module works on its own. Most enterprises start with one use case and add modules as they scale.
No. It sits between your systems and your agents, connecting what you already run. Your OSS, ITSM, CRM and data platforms stay in place.
Any model you choose. Domain SLMs handle routine reasoning, and frontier models are called only when needed. Switching models doesn't mean rebuilding your context.
Any agent or copilot connects over MCP. Synapt also ships with pre-built connectors for your data sources.
Agents draw on governed, source-linked knowledge with confidence scores instead of guessing. This lowers the risk significantly but doesn't remove it entirely, which is why human approval gates stay in the design.
Every agent action leaves an auditable record, and autonomy levels are set per agent. Prodapt is certified to ISO/IEC 42001, the international standard for AI management systems.
No. Everything Synapt learns from your estate stays in your environment and is used only for you.
