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Data Intelligence Platform

Agents That 
Reason Across Data

Agents that reason across messy data, surface insights, and act - powered by agent-friendly data models, fuzzy matching, NL→SQL, and RAG. Not dashboards. Intelligence.

7

Specialized Agents

Purpose-built intelligence

Multi-Factor

Analysis

Not just dashboards

45%

Better Resource Utilization

Across portfolios

90%

Compliance Rate

Continuous auditing

"Each agent performs multi-factorial analysis, cross-system reasoning, and insight surfacing - not reporting."

Built on Newtuple's proprietary Agent Data Model (ADM) that converts raw data into semantic, agent-friendly structures.

The Technology Foundation

What makes these agents different from traditional analytics and BI tools.

Agent Data Model (ADM)

Proprietary data structures that convert raw enterprise data into semantic, agent-friendly formats optimized for reasoning and insights

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Optimized Resource Utilization

Analyzes patterns across multiple data sources simultaneously to surface insights that single-system tools miss

Higher Quality Hires

Automatically resolves duplicate entities across messy systems with inconsistent naming and formats

Hybrid SQL + RAG Intelligence

Combines structured database queries with unstructured document retrieval for comprehensive analysis

Intelligence Agents

7 specialized agents that surface insights and drive actions across your enterprise data.

Operations & Asset Intelligence Agent

Operations & Asset Intelligence
​Detect anomalies, explain root causes, and surface operational insights across assets and processes
CAPABILITIES

Fuzzy-match root causes across logs, telemetry, task systems, and schedules. Multi-factor analysis: crew, machine health, upstream supply, volume spikes. Suggest operational interventions with quantified impact. Combine structured telemetry (SQL) with procedures/notes (RAG). Continuously monitor and surface 'insights to act on' - not charts. Learns agent-specific embeddings for assets, events, and SOPs. Semantic clustering to group anomalies into themes.

INTEGRATIONS
Airports
Logistics Hubs
Fulfillment Centers
Utilities
Manufacturing
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Inventory & Supply Chain Intelligence Agent

Inventory & Supply Chain Intelligence
Surfacing stock risks before they happen through multi-factor, fuzzy-matched supply chain intelligence
CAPABILITIES

Multi-axis risk detection: sales velocity, lead-time variance, supplier behavior, inbound delays. Fuzzy-match missing PO references, partial shipment identifiers, and inconsistent SKU naming. Insight-first: 'Here are the 12 SKUs at risk this week - and why.' Hybrid reasoning: RAG for supplier contracts + SQL for inventory math. Suggest replenishment or redistribution strategies with rationale. Builds a unified SKU semantic graph across messy ERP/WMS/POS systems. Treats suppliers as probabilistic distributions.

INTEGRATIONS
ERP
WMS
POS
Supplier Portals
Procurement Systems

Revenue & Sales Intelligence Agent

Revenue & Sales Intelligence
Find ICP matches, surface buyer signals, and uncover revenue opportunities hidden in messy GTM data
CAPABILITIES

Fuzzy-match accounts/leads across CRM, enrichment tools, spreadsheets, emails. Multi-factor scoring: firmographics + intent + rep activity + historical conversion pattern. Identify 'hidden ICP fit' clusters that sales teams always miss. Surface insights like: 'These 22 leads show similarity to your past 3 closed-won accounts.' Agent blends SQL (pipeline, activity, revenue tables) with RAG (notes, calls, transcripts). Creates an ICP vector space from your historical wins/losses. Autonomously categorizes and enriches orphaned leads.

INTEGRATIONS
Salesforce
HubSpot
Outreach
ZoomInfo
Gong
Sales Navigator

Finance & Portfolio Intelligence Agent

Finance & Portfolio Intelligence
​Multi-factor, explainable insights for wealth, portfolios, FP&A, and risk
CAPABILITIES

Portfolio insight surfacing: concentration risks, sector exposure drifts, anomaly moves. Fuzzy-match portfolio positions across custodians, data vendors, and client systems. Multi-factor financial reasoning across SQL tables (PnL, holdings, benchmarks) + RAG (research notes, analyst commentary, house views). Insight-first: 'Your mid-cap exposure rose 14% due to XYZ - risk score changed accordingly.' Simulated scenarios and summarized risk narratives. Builds a semantic factor-model structure so agents can reason like analysts. Matches holdings across messy ticker formats, ISIN/CUSIP mismatches.

INTEGRATIONS
Bloomberg
FactSet
Custodian Feeds
Trading Systems
NetSuite
Workday

Digital & Customer Insight Agent

Digital & Customer Insight
Understand customer behavior through multi-source pattern discovery, not dashboards
CAPABILITIES

Fuzzy correlates signals from web analytics, CRM, support, and product telemetry. Surfaces 'drivers of' insights: churn patterns, conversion blockers, behavior clusters. Multi-factor modeling: path analysis + regression + semantic clustering of qualitative feedback. Merges SQL funnels with RAG on qualitative content (NPS, reviews, chats, notes). Creates customer-journey embeddings and event-normalized tables for intelligent reasoning.

INTEGRATIONS
Google Analytics
Segment
Mixpanel
Zendesk
Intercom
Product DBs

Workforce & Productivity Intelligence Agent

Workforce & Productivity Intelligence
Find workload imbalances, skill gaps, and utilization patterns automatically
CAPABILITIES

Fuzzy-match skills from resumes, HRIS, learning systems and ticket history. Multi-factor capacity analysis: workload, backlog, skill relevance, velocity patterns. Surfaces insights like: 'Team X is 23% over-allocated relative to Team Y for the same skill profile.' Combines structured data (SQL from HRIS, Jira) with RAG on job descriptions, training docs. Builds a semantic skill graph and normalizes workforce metadata.

INTEGRATIONS
Workday
BambooHR
Jira
GitHub
Learning Systems
Time Tracking

Data Modeling & Transformation Agent

Data Modeling & Transformation
Converts messy enterprise data into agent-friendly semantic models that support reasoning, insights, and automation
CAPABILITIES

Autonomously discovers entities, relationships, attributes and hierarchies from raw data. Fuzzy-matches duplicate entities (customers, SKUs, assets, suppliers, securities). Generates a Newtuple Agent Data Model (ADM): a unified, agent-readable graph + normalized SQL layer. Builds retrieval indexes optimized for RAG + SQL hybrid queries. Performs transformations, standardization, metadata creation, and quality grading. Continuously maintains lineage and versioned snapshots for agent reliability. This is the foundation that enables multi-factorial insights and powers all upstream agents at production scale.

INTEGRATIONS
All Data Sources
Data Warehouses
Data Lakes
APIs
Files
Streams

Why Agent Data Model Matters

The Data Modeling & Transformation Agent is the secret sauce that makes everything work.

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Multi-Factorial Insights

Enables reasoning across domains by creating semantic relationships between disparate data sources.

Hybrid Intelligence

Allows NL → SQL → multi-table joins → RAG augmentation → final insight in a single workflow.

Production Scale

Powers all upstream agents at enterprise scale with versioning, lineage, and reliability.

Perfect For

Wealth Management

Asset Managers

Family Offices

Corporate FP&A

Supply Chain Operations

Manufacturing

Airports & Logistics

Fulfillment Centers

Utilities

Sales & Revenue Operations

Customer Success Teams

Workforce Planning

Ready to Transform Your Data Into Intelligence?

Move beyond dashboards. Deploy agents that reason, surface insights, and drive action.

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