Enterprise AI Automation Platform

Autonomous AI Workflows for Enterprise Operations

nnaru unifies multi-model LLM pipelines, hybrid vector retrieval (RAG), and human-in-the-loop guardrails to automate complex document processing, customer triage, and cross-system ERP/CRM workflows with enterprise-grade reliability.

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✓ 99.4% Schema Extraction Accuracy ✓ < 450ms Vector Retrieval Latency ✓ Zero Model Data Retention
System Architecture & Live Telemetry

End-to-End AI Execution Pipeline

Built for deterministic accuracy and auditability—transforming unstructured enterprise inputs into verified system actions.

nnaru Core Pipeline Architecture (v2.4)
User Input → Vector DB / Hybrid RAG → LLM Orchestration → Enterprise Output
● Production Pipeline Active
Stage 01 · Ingestion

User & Event Input

  • REST / Webhook Events
  • PDF Invoices, POs & Contracts
  • Customer Support Emails
  • OCR & Layout Normalization
Stage 02 · Context

Vector DB & Hybrid RAG

  • Semantic Chunking & Embeddings
  • PostgreSQL + pgvector Index
  • Enterprise SOP & Schema Lookup
  • PII Redaction & Token Filtering
Stage 03 · Reasoning

LLM Pipeline & Guardrails

  • Vertex AI / Azure OpenAI Routing
  • Strict JSON Schema Validation
  • Confidence Threshold Scoring
  • Human-in-the-Loop Approval Gate
Stage 04 · Action

Verified Output & Sync

  • Automated ERP / CRM Writeback
  • Context-Cited Customer Replies
  • Scheduled Executive Briefings
  • Immutable Execution Audit Logs
nnaru Control Plane — Production Workspace (us-east / ap-northeast)
Cluster Status: Healthy (99.98% Uptime)
Recent Autonomous Workflow Executions Live Stream
Run ID Workflow Pipeline Model / Vector Confidence Status
#wf_9842 Invoice_OCR_to_SAP_Sync Vertex-Pro + pgvector 99.7% Auto-Committed
#wf_9841 Support_Tier1_RAG_Resolver Azure-GPT4o + HybridRAG 98.9% Auto-Committed
#wf_9840 Contract_Clause_Risk_Audit Vertex-Pro + LegalIndex 91.2% Human Review
#wf_9839 Weekly_KPI_Executive_Digest Python-Worker + LLM 99.9% Dispatched
Pipeline Telemetry (24h) Real-Time
14,820
Documents Processed
99.4%
Schema Validation Pass
380ms
Median Vector Query
82.6%
Zero-Touch Resolution
Core Platform Capabilities

Modular Enterprise AI Infrastructure

Purpose-built modules that turn raw foundation models into governed, production-grade business operations.

1. Core AI Orchestration Engine

Dynamic multi-model routing across Google Cloud Vertex AI and Azure OpenAI with enforced Pydantic JSON schemas, automatic retry logic, and deterministic fallback rules.

Multi-Agent Routing Structured JSON Output Hybrid RAG

2. Seamless Enterprise Integration

Connect directly to existing ERPs, CRMs, and workspaces via bidirectional REST/GraphQL webhooks without ripping and replacing legacy databases.

Salesforce & SAP Slack & Microsoft 365 Google Workspace

3. Security, Privacy & Governance

Zero customer data training policy, automated PII masking prior to LLM inference, role-based access control (RBAC), and TLS 1.3 / AES-256 encryption.

Zero Data Retention PII Redaction Human-in-the-Loop Gate

4. Real-Time Telemetry & Analytics

Full observability over every workflow execution—track latency, token consumption, field-level confidence scores, and net hours saved across departments.

Execution Audit Trail Cost & Token Metering ROI Attribution
Cloud & Engineering Stack

Built on Proven Cloud-Native Technologies

Engineered for high availability, horizontal autoscaling, and enterprise security compliance.

Google Cloud

Vertex AI, Cloud Run, Cloud SQL & Pub/Sub

Microsoft Azure

Azure OpenAI Service & Container Apps

Python 3.12

FastAPI, LangGraph, Pydantic & Async Workers

Docker

Isolated Container Runtime & Microservices

Next.js & TypeScript

Control Plane UI, SSR & Edge Webhooks

PostgreSQL + pgvector

Hybrid Vector Embeddings & Relational Store

Early Access & Enterprise Demo

Join the Waitlist or Request a Live Sandbox Demo

We onboard new enterprise teams in weekly cohorts to ensure dedicated pipeline architecture support and custom connector setup.

Leadership & Engineering Contact

Connect directly with our founding engineering team or reach out to our official support desk.

nnaru Founding Team & AI Engineering
Enterprise AI Architecture & Operations
LinkedIn
Official Support & Inquiries
Response within 1 business day
contact@nnaru.com

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Reference ID: · Questions? Email contact@nnaru.com