TuringNexus connects your delivery tools and streams governed context to PMO agents—so leaders get real-time answers without moving data.
Where every connection is governed, secure, and optimized for enterprise scale.
Connect to sources, databases, vector databases, and action tools with pre-built integrations that reduce time-to-value.
Define schemas, PII policies, redaction rules, field allowlists, TTLs, and freshness SLAs for governed data access.
Hybrid retrieval (BM25 + vectors), workspace memory, relevance filters, and token budgets for optimized context delivery.
Per-role scopes, per-agent policies, and environment separation (dev/stage/prod) with least-privilege access controls.
Traces, cost per call/agent, connector error budgets, and policy hit/miss metrics for complete visibility.
BYO VPC/VNet, secrets in vaults, SSO/SCIM integration, and webhook/event-driven pipelines for secure deployments.
Drive faster decisions with governed, real-time portfolio insights
Live portfolio answers on status, risk, and cost with full auditability—enabling data-driven decisions in real-time.
Prebuilt connectors and data contracts cut time-to-value, eliminating months of custom integration work.
RBAC, data contracts, and audit trails standardize how AI uses data—ensuring compliance and security from day one.
Scoped context windows, automatic redaction, and spend guardrails minimize exposure and control AI costs.
See how TuringNexus transforms complex integrations from fragmented to unified in four intelligent steps:
Studio (Canvas/Flow/Forge) ⇄ Nexus (MCP) ⇄ Sources & Actions
Enterprise-grade controls that protect data, ensure compliance, and maintain auditability across all agent operations.
Role-, project-, and team-scoped access controls ensure agents only access data they're authorized to see.
Schemas, masking rules, lineage notes, and retention policies govern how data flows to agents.
Redact-at-source and field allowlists ensure sensitive data never enters prompts without explicit controls.
Per-query evidence captures inputs, policy decisions, tool calls, and outputs for complete traceability.
Per-agent budgets, alerts, and threshold blocking prevent runaway AI spending and control costs.
Workspace boundaries, environment separation, and keys per connector ensure secure multi-tenant operations.
Integrate your delivery tools with governed, policy-bound context for AI agents