Enterprise data everywhere. Enterprise intelligence nowhere.

ARIIA connects your ERPs, CRMs, data lakes, documents, and IoT streams into a single reasoning layer, and answers the questions posed by your leadership team in real time, with full explainability. 

Enterprise Access Controls Embedding Models Vector Store Covasant Domain Models Connectors SAP Salesforce OSI PI … Data Models Defense Energy Financial Services … Persistence Key Value Store RDBMS Virtualization … Large Language Models OpenAI · Anthropic · AWS Bedrock · Open‑source Question Answer Enterprise Systems CRM EAM ERP FP&A HRM SCADA External Systems News Weather

Data in a silo is mere storage. Connected data is intelligence.

The insights that your leadership team needs already exist within your systems. They are scattered across databases and departments that have never been connected into a single reasoning layer.

 
Fragmented Sources
Structured data in one system. Unstructured documents in another. IoT streams in a third system. Knowledge relationships in no system at all.
 
Weeks to a Report
Business users depend on BI teams. By the time insights arrive, the business question has already changed.
 
No Cross-System Reasoning
Tools stop at dashboards. They cannot connect the why across procurement, contracts, CRM, and operational data simultaneously.
 
Engineering Bottleneck
Every new question requires months of pipeline engineering, dedicated teams, and custom integrations before the first answer.

From fragmented data
to autonomous enterprise intelligence.

ARIIA is the cognitive reasoning layer that sits above all your systems, connecting, understanding, and answering across everything that you have, with full audit trails at every step.

 
Data Sources
ERP · CRM · Files · IoT
 
 
Connectivity
100+ Connectors
 
 
IDME
Auto-Modeling
 
 
AG-MDM
Golden Records
 
 
Reasoning Engine
SQL + KG + Vector
 
 
Intelligence
NLP Dashboards
 
Connect Enterprise Data Sources
ARIIA seamlessly connects with every system carrying decision-relevant data. 100+ pre-built connectors normalize data across formats and systems into a unified semantic layer. No migration. No pipeline engineering.
 
 
Hybrid Reasoning Across All Data
The Cognitive Brain composes SQL queries for structured precision, vector search for semantic document understanding, and graph traversal for entity relationships, three forms of intelligence in a single reasoning chain.
 
 
Intelligence With Full Auditability
ARIIA synthesizes multi-domain reasoning outputs into a continuously updated intelligence picture. Every reasoning step is logged with a complete audit trail. Every decision is explainable and governance-ready.
 
 

Numbers that prove why your business needs ARIIA.

50–80%
Reduction in time from data to decision across enterprise functions
80%
Reduction in pipeline engineering effort with zero-engineering connectivity
~2min
To activate a hybrid reasoning rule combining SQL, vector, and graph
4wks
Average time from engagement start to live enterprise intelligence

Intelligence capabilities.
Every dimension of enterprise data connected.

ARIIA deploys six capabilities, each addressing a distinct dimension of enterprise intelligence. The orchestration layer correlates outputs, surfacing the cross-domain insights that fragmented tools cannot see.

 
Multimodal Connectivity
100+ connectors to SAP, Oracle, Salesforce, data lakes, IoT, and unstructured archives. Fuses structured records, PDFs, videos, and streaming data into one semantic layer.
 
Composable Reasoning Chain
SQL search, vector scan, and graph traversal combined into a single reasoning chain, defined in natural language, verified by administrators, executed with deterministic guardrails.
 
Vector Search & Contract Intelligence
Semantically scan thousands of contracts and regulatory texts within seconds. Surfaces hidden obligations, compliance gaps, and buried clauses that keyword search cannot find.
 
Knowledge Graph & Dependency Detection
Traverses entity relationships across supplier networks and data dependencies. Identifies single-point-of-failure risks that are only visible when structured and relational data are reasoned together.
 
Explainability & Compliance Engine
Complete, reasoned audit trail at every decision node. Admin-verified logic gates ensure no unverified AI actions are taken. Built for regulated industries where explainability is non-negotiable.
 
Zero-Engineering Deployment
Business users define reasoning rules in natural language through a UI-driven interface. Rules activate in approximately two minutes. No code, no deployment lag, no region-specific rebuilds.

Any industry. Pre-built for yours.

Generic analytics tools do not understand your supply chain, your compliance requirements, or your customer journey. ARIIA does, with pre-built intelligence models configured for your vertical, connecting your existing systems and delivering insights that are calibrated to the decisions that your leadership team make.

Manufacturing & Supply Chain

Predictive operations, from plant to supply chain.

Manufacturing leaders face supply disruptions, production variance, and quality issues scattered across ERP, MES, SCADA, and supplier systems. ARIIA unifies them and reasons across the entire value chain, surfacing the hidden dependencies and signals that your current tools cannot see.

Key Intelligence Use Cases
  • Supply chain risk detection and multi-tier supplier reliability scoring
  • OEE optimization across plants with cross-system root cause analysis
  • Predictive maintenance driven by IoT sensor cross-analysis with maintenance history
  • Quality defect root-cause reasoning across production batches and supplier inputs
  • Inventory optimization with demand signal from external market data
Talk to a Manufacturing Expert →
Measured Outcome
23%
Reduction in unplanned downtime
By correlating IoT sensor anomalies with historical maintenance data across 12 production lines, surfaced by ARIIA before disruption occurred.
Measured Outcome
4× faster
Supply chain risk identification
Cross-system reasoning across ERP, logistics, and supplier data, answered within minutes with full explainability.
Measured Outcome
$2.1M
Average annual waste reduction
Through early detection of quality defect connected to production data and supplier quality records.
Banking, Financial Services & Insurance

Risk, portfolio, and customer intelligence unified.

BFSI enterprises must balance risk, regulatory compliance, and customer experience across fragmented core banking, CRM, and market data systems. ARIIA provides a unified reasoning layer across all three, with the full audit trail that regulators require.

Key Intelligence Use Cases
  • Credit risk and portfolio exposure intelligence across all positions
  • Fraud signal detection and financial crime pattern recognition across BSS and transaction data
  • Regulatory reporting automation across Basel, IFRS, MiFID, and AML frameworks
  • Customer lifetime value and next-best-action intelligence from unified customer data
  • Claims intelligence and underwriting data quality governance
Talk to a BFSI Expert →
Measured Outcome
4× faster
Regulatory report generation
Cross-system data extraction, mastering, and report assembly within hours, replacing a weeks-long manual process.
Measured Outcome
38%
Improvement in fraud detection rates
Multi-system pattern recognition connecting data related to transactions, customer behavior, and networks simultaneously.
Measured Outcome
22%
Better portfolio risk visibility
Unified exposure view across all positions, counterparties, and market data sources in a single reasoning layer.
Healthcare & Life Sciences

Clinical and operational intelligence unified.

Healthcare data is among the most fragmented in any industry. EHR, billing, lab systems, scheduling, and compliance records rarely connect. ARIIA creates one reasoning layer across all of them, with full HIPAA-compliant audit trails.

Key Intelligence Use Cases
  • Patient journey intelligence across clinical and operational touchpoints
  • Readmission risk scoring with cross-system clinical and social context
  • Revenue cycle optimization and billing anomaly detection
  • Staffing and capacity planning intelligence across departments
  • Compliance monitoring across HIPAA, JCI, and local regulatory frameworks
Talk to a Healthcare Expert →
Measured Outcome
19%
Reduction in 30-day readmissions
Cross-system patient risk scoring combining clinical, social, and post-discharge data in one reasoning layer.
Measured Outcome
$1.8M
Annual revenue cycle improvement
Billing anomaly detection and denial root-cause reasoning across payer and clinical data.
Measured Outcome
60%
Less manual compliance reporting
Automated cross-system compliance checks replacing manual audit processes.
Pharmaceuticals

From trial data to commercial intelligence.

Pharmaceutical enterprises sit on mountains of clinical, regulatory, and commercial data that rarely connects with each other. ARIIA unifies trial data, HCP engagement, market access, and manufacturing quality into one intelligent layer.

Key Intelligence Use Cases
  • Clinical trial intelligence and enrollment optimization across sites
  • HCP engagement scoring and commercial performance analysis
  • Regulatory document intelligence and submission readiness assessment
  • Pharmacovigilance signal detection across adverse event data
  • Supply chain and cold-chain visibility across global distribution networks
Talk to a Pharma Expert →
Measured Outcome
40%
Faster regulatory submission preparation
Document intelligence across clinical, safety, and CMC data unified for dossier readiness.
Measured Outcome
Better clinical trial enrollment visibility
Site performance, patient eligibility, and protocol deviations unified in one reasoning layer.
Measured Outcome
72%
Reduction in manual safety reporting
Automated signal detection and case narrative generation from adverse event feeds.
Retail & Consumer

Demand intelligence, pricing, and loss prevention.

Retail complexity like multi-channel demand, seasonal patterns, supplier lead times, and customer behavior demands cross-system reasoning. ARIIA unifies POS, eCommerce, loyalty, ERP, and external market data into one intelligence layer.

Key Intelligence Use Cases
  • Demand forecasting incorporating external signals, including weather, events, and trends
  • Unified customer 360-degree behavior across channels
  • Inventory intelligence connecting demand forecasts to supplier lead times
  • Margin erosion root-cause across pricing, returns, shrinkage, and promotions
  • Loss prevention intelligence from POS and surveillance cross-analysis
Talk to a Retail Expert →
Measured Outcome
31%
Improvement in demand forecast accuracy
Combining POS data with external signals across 200+ SKUs and 40 locations.
Measured Outcome
18%
Reduction in excess inventory
Real-time reasoning across inventory position, demand signals, and supplier lead times.
Measured Outcome
2.4×
Faster promotional ROI analysis
Cross-system analysis of promotional campaign performance versus inventory and margin impact.
Communications, Media & Technology

Subscriber analytics, network ops, and revenue intelligence.

Telecoms manage network quality, subscriber churn, revenue assurance, and field operations across separate systems. ARIIA connects them and reasons across the full subscriber and network lifecycle.

Key Intelligence Use Cases
  • Churn prediction with network experience, billing, and CRM context unified
  • Network quality intelligence across cell sites, regions, and device types
  • Revenue assurance and leakage detection across BSS and OSS
  • Field service optimization with MTTR reduction and proactive dispatch
  • ARPU growth intelligence by segment and product bundle analysis
Talk to a Telecom Expert →
Measured Outcome
26%
Churn rate reduction in at-risk segments
Early warning scores combining network quality, support history, and usage patterns.
Measured Outcome
$4.5M
Revenue leakage recovered annually
Cross-system BSS/OSS reconciliation identifying billing gaps and unauthorized usage patterns.
Measured Outcome
35%
Faster network fault resolution
Root-cause reasoning connecting alarm data, field history, and equipment lifecycle records.
Agronomy & Agriculture

Plantation intelligence, from field to mill.

Agricultural enterprises generate enormous data across field, mill, supply chain, and market. ARIIA connects them into one reasoning layer for sustainable, efficient operations, from smallholder farmer engagement to CPO yield optimization.

Key Intelligence Use Cases
  • Yield prediction intelligence from satellite, IoT, and historical ERP data
  • FFB quality and harvest logistics optimization across thousands of smallholders
  • Farmer engagement platform with AI advisory intelligence
  • RSPO and ESG compliance intelligence across plantation and supply chain data
  • Mill processing intelligence and CPO yield optimization
Talk to an Agronomy Expert →
Measured Outcome
15%
Yield improvement per hectare
Precision agronomy intelligence connecting satellite, soil, weather, and historical yield data.
Measured Outcome
30%
Reduction in harvest logistics cost
FFB routing and harvest window optimization across thousands of smallholder farmers.
Measured Outcome
Real-time
ESG and sustainability reporting
RSPO compliance intelligence across plantation and supply chain data automated.
FAQ

Questions that matter the most.

Straight answers on architecture, security, AI grounding, and how ARIIA's agents work, for data leaders evaluating before they commit.

Talk to Us →
Where does our data live? Does it leave our environment?
ARIIA is deployable on your cloud tenant (AWS, Azure, GCP) or on-premise. Data never leaves your environment unless you explicitly configure external signals. All processing occurs within your defined infrastructure boundary.
How is data encrypted?
Data is encrypted at rest and in transit. Key management integrates with your existing HSM or cloud key management service. We can schedule a security architecture deep-dive with our Solutions team for your CISO.
Do you train your models on our data?
No. ARIIA uses pre-trained foundation models and your Knowledge Graph. It does not use your data to train any shared models. Your data is never used outside your tenant.
We're heavily invested in SAP. Will ARIIA disrupt our existing systems?
ARIIA is additive. It sits alongside your SAP investment and enriches it. We have certified SAP connectors for S/4HANA, BW, and legacy ECC. ARIIA reads from SAP and can write records back without any disruption to existing processes.
We already have Databricks. Why do we need ARIIA?
ARIIA complements your data lake. Think of it as the reasoning and governance layer on top of your raw data. Databricks processes data. ARIIA understands it, governs it, and answers business questions from it. Many customers use both, Databricks as the pipeline and ARIIA as the brain.
How long does a typical implementation take?
Get first insight within a few days. Full production deployment with 3–5 connected sources typically runs for 4–8 weeks, compared to 6–18 months for traditional data warehouse or AI platform projects. The zero-engineering setup is the reason why it is faster.
What if our data quality is poor?
That is exactly what DataNexus AG-MDM is built for. Poor data quality is the default state that ARIIA starts from. It discovers the issues, applies quality rules you define in plain English, creates Golden Records, and continuously improves quality, without requiring clean data to start.
 
 
 

Your enterprise data tells you something.
ARIIA enables you to hear it.

See how ARIIA connects your fragmented data landscape into a single, continuously reasoning intelligence layer, enabling your leadership team to make explainable decisions with confidence.