Enterprise

TALKTO+ Enterprise
Local Node

Sovereign zero-egress deployment for customer-controlled execution intelligence.

Packages the dashboard, API layer, AI Gateway, RAG, risk engine, audit trail, action cards and reporting into a fully customer-controlled deployment — designed for organizations that need execution intelligence without moving sensitive raw data outside their own environment.

Architecture

Fullstack architecture

Every component runs inside the customer-controlled environment. Each layer is independently hardened, monitored and audited.

Boardroom ViewSignals RadarDecision HubAction CardsStrategy RAGAudit ViewSystem Health
FastAPI / api/v1Reporting APIAudit APIIntegrations APISystem Health API
Risk EngineDecision WorkflowAction Card GenerationReport GenerationAudit Services
AI GatewayProvider AbstractionPrompt / Version ControlEmbeddingsRetrieval OrchestrationStrict JSON Validation
PostgreSQLQdrantRedisObject Storage / ReportsIntegration Metadata
Generic WebhookHowspaceMicrosoft TeamsSlackJiraManual InputMCP / ACP

Customer Local Zone

All components above run inside the customer-controlled perimeter. SSO/RBAC, HMAC webhooks, audit trail and observability are included at the node level.

SSO / RBACHMAC WebhooksAudit TrailObservabilityZero-Egress Mode

AI Runtime

AI provider options

The AI Gateway routes analysis through the provider configured for each environment — no external calls without explicit customer choice.

Development

Mock Provider

For deterministic demos, tests and offline validation.

Evaluation

Frontier API

For non-sensitive hosted demos and evaluation environments.

Enterprise

vLLM Local

For customer-controlled open model inference.

Enterprise

LouhiGPT Local

Designed to support LouhiGPT Local once endpoint, model and runtime settings are configured through the AI Gateway.

LouhiGPT-ready local AI architecture. TALKTO+ Enterprise AI Gateway is designed to support LouhiGPT Local, vLLM-compatible models or other customer-approved local LLM runtimes. LouhiGPT-specific deployment is configured through endpoint, model and runtime settings once customer and model details are available.

Compute

Customer GPU ready

TALKTO+ Enterprise is designed to run with customer-controlled GPU capacity, including local AI inference profiles such as vLLM-compatible runtimes and NVIDIA-accelerated environments such as DGX Spark.

GPU acceleration and hardware configuration are the responsibility of the customer environment. TALKTO+ provides runtime-agnostic API integration.

Deployment modes

TALKTO+ Core

Managed SaaS baseline for pilot and evaluation.

Single-node Enterprise Local Node

Full stack on a single customer-controlled VM or server.

Customer VPC / VM

Deployed inside customer cloud or on-premise virtual machine.

Kubernetes / OpenShift

Container-native deployment for regulated enterprise environments.

Intelligence

Internal Enterprise Swarm

TALKTO+ aggregates only human-validated, anonymized patterns inside the enterprise boundary — creating an internal learning layer without any external raw data sharing.

Uses validated findings, not raw conversations

No raw strategy text leaves the local node

No gradients are shared externally

No model weights are shared externally

No cross-company sharing by default

Global opt-in requires separate agreement and feature flag

Global Opt-In Hub — disabled by default. Requires explicit customer agreement and feature flag activation. Shares only anonymized aggregated patterns. No raw text, no model gradients, no model weights are included.

Engagement

Enterprise pilot path

01

Diagnostic Workshop

2–4 hour executive risk framing and signal map.

02

Activation Pilot

Controlled pilot against one transformation program.

03

Enterprise Local Node

Zero-egress deployment with customer-approved AI runtime.

04

Boardroom Operating Model

Recurring validated risk reviews, action cards and reporting cadence.

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