Humans remain the integration layer.
Knowledge is scattered across intranets, mail, file shares, code repositories, and domain systems.
Built to be trusted.
One governed foundation for enterprise AI agents - composed, not generated. Deploy on your infrastructure, choose your models, control your data, and keep human authority visible at the center.
Autonomous behavior can branch and compound. Authority, policy, cost, and evidence stay fixed in the operating core.
Vector, keyword, graph, and hybrid retrieval over enterprise sources.
RBAC, human gates, budgets, policy, and audit trails from the first agent.
Shared APIs for HR, Finance, Customer, Logistics, Procurement, and more.
Invoker-level ledgers, hard ceilings, and runtime stop-loss guardrails.
AI value stays trapped in pilots when every team restarts the same integration, security, governance, and cost conversations.
Knowledge is scattered across intranets, mail, file shares, code repositories, and domain systems.
Bespoke AI per persona repeats infrastructure, increases recurring cost, and removes control.
Disconnected initiatives create different security models, audit trails, and cost tracking.
Vendor roadmaps rarely match your data layer, ETL, lineage, internal models, and controls.
Sentheos gives enterprises a single governed foundation on which business teams design, run, and scale agents under your control of infrastructure, data, and models.
Unified knowledge, model routing, runtime policy, observability, cost governance, and audit evidence.
Secure sandboxed execution and real-time streaming.
Session, case, shared, and validated long-term memory.
MCP and REST endpoints through one shared gateway.
Enterprise SSO, RBAC, and department-scoped access.
Agent and tool catalog with publish, review, and search.
RAG pipeline, vector search, and scheduled synchronization.
Quality scoring, edge-case detection, and regression monitoring.
Tool controls, action gating, and approval gates.
Sentheos standardizes the primitives that every production agent needs, regardless of model provider, framework, toolchain, or team.
Decompose goals and decide next steps from intermediate results.
Controlled access with schemas, permissions, retries, and timeouts.
Planner, researcher, executor, critic, delegation, and merging.
Session, case, validated long-term memory, and checkpointing.
Policy checks around every tool call, data boundary, and PII touchpoint.
Grounded citations, schema validation, and human-in-the-loop gates.
Traces that answer why the agent acted, what it cost, and where it failed.
Complex, valuable behavior emerges from simple accountable rules. You define the governance; agents operate inside it. Security is implemented in layers, not bolted on after the fact.
Agentic systems can spend without producing. Sentheos treats cost as a structural control, checked before and during execution.
Every call is metered and accrued to the invoker's cost center at decision time.
Sharing an agent never transfers liability or hides spend between teams.
Per-team circuit breakers stop surprise bills before risk compounds.
Consumption is visible, auditable, and tied to the value-producing domain.
Governance is not a constraint on your AI. It is what makes it yours: legitimacy, ownership, and authority over every agent your teams create.