New β€” AI Rawat 2.0 now supports real-time agentic monitoring across all connected sources. Learn more β†’
Enterprise Data Intelligence

Every answer your business needs is already in your data.

AI Rawat connects your sources and puts intelligent agents to work β€” instantly.

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Connects with 40+ enterprise data sources
SnowflakeSnowflake
SAPSAP ERP
SalesforceSalesforce
BigQueryBigQuery
RedshiftAWS Redshift
DatabricksDatabricks
Azure SynapseAzure Synapse
PostgreSQLPostgreSQL
GCPGoogle Cloud
AWSAWS
AzureMicrosoft Azure
SnowflakeSnowflake
SAPSAP ERP
SalesforceSalesforce
BigQueryBigQuery
RedshiftAWS Redshift
DatabricksDatabricks
Azure SynapseAzure Synapse
PostgreSQLPostgreSQL
GCPGoogle Cloud
AWSAWS
AzureMicrosoft Azure
SOC 2 Type II
Β·
ISO 27001
Β·
GDPR Compliant
Β·
HIPAA-Ready
Β·
Your data stays in your VPC
The Problem

Your CFO calls it a supply chain problem. It's almost always a data problem.

Nearly 90% of operational failures trace back to data that isn't accessible, connected, or trusted.

0%
struggle with disconnected data
Gartner
0%
of execs don't trust their data
HFS Research
0h
wasted per employee per week
Industry
0%
abandoned AI initiatives 2025
S&P Global
01

The release broke something. Finding what takes weeks.

A feature shipped. Conversion dropped. Customer complaints increased. The hardest part isn’t fixing the problemβ€”it’s discovering where it started.

02

The answer exists. It’s trapped in seven systems.

ERP knows inventory. CRM knows customers. Finance knows margins. Your people know none of it when decisions are made.

03

Your data warehouse is growing. Trust is shrinking.

Five teams are writing pipelines. Nobody knows which metric is correct anymore. Every meeting starts with validating numbers.

04

Your best people spend their day being human APIs.

Instead of making decisions, they’re exporting spreadsheets, joining data, validating numbers, and answering repetitive questions.

05

By the time the report arrives, the problem is old.

The operations issue happened Monday. The insight arrived Friday. The cost was incurred on Tuesday.

06

The release broke something. Finding what takes weeks.

A feature shipped. Conversion dropped. Customer complaints increased. The hardest part isn’t fixing the problemβ€”it’s discovering where it started.

Industries

Built for every industry.
Powering real decisions.

Data intelligence for manufacturing & supply chain

Track fulfilment rates, trace supplier SLA breaches, and reconcile inventory across warehouses β€” all from one query. No more waiting for the Friday report.

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Manufacturing Dashboard

Unified reporting for financial services

Reconcile revenue across billing, CRM, and ERP systems automatically. Surface compliance risks before auditors do. One number, one source of truth.

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Financial Services Dashboard

Demand and inventory for retail & e-commerce

Unify POS, inventory, and logistics data. Detect demand shifts in real-time. Know which SKUs are stuck, which are spiking, and why β€” across every channel.

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Retail Analytics Dashboard

Operational clarity for healthcare systems

Connect patient flow, claims, and facility data. Reduce reporting lag from days to seconds. Every department sees the metrics that matter to them β€” live.

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Healthcare Operations Dashboard
The Intelligence Layer

A chat layer on top of your dashboards.

Your dashboards exist. We put a conversational intelligence layer on top.

AI Rawat Architecture Diagram
The Product

Four layers. One intelligence system.

Unified Data Repository

Unified Data Repository

Bring together every system, spreadsheet and application into a governed source of truth.

Agent Activity Feed

Agentic Intelligence

AI agents monitor operations continuously, surfacing anomalies, risks and opportunities automatically.

Data Lineage & Governance

Governance & Change Intelligence

Track data lineage, ownership and release impact so every metric remains trusted and explainable.

Role-Based Views

Role-Based Reporting

Deliver the right insights to the right peopleβ€”from boardrooms to operations teamsβ€”without creating reporting silos.

Results

What it looks like when it works.

Supply Chain
Supply Chain β€” Mid-size FMCG
90 sec

Root cause of a 14% fulfilment drop found in under two minutes

Previously took 2–3 days across disconnected ERP, logistics, and vendor SLA systems. AI Rawat traced it to a supplier cluster in the Northern warehouse region.

ERP Β· Logistics Β· Vendor SLA
Pipeline Risk
Revenue Operations β€” Enterprise SaaS
3 weeks early

Pipeline risk surfaced before quarter end β€” with time to act

Agents noticed a deal velocity anomaly across Enterprise and Mid-Market segments. CRM activity, product usage, and support tickets confirmed accounts at risk.

CRM Β· Product Β· Support
Revenue
Financial Services β€” Series C Fintech
β‚Ή4.8Cr saved

Revenue reconciliation automated across six disconnected systems

Finance and Sales had reported different quarterly numbers for three years. AI Rawat unified definitions and automated reconciliation. Board now gets one number.

ERP Β· CRM Β· Billing
We replaced four months of BI ticket backlog with a 30-minute audit. Within six weeks, our CFO and Head of Ops were querying the same number β€” without us being in the room. With that, AI.Rawat gave us our source of truth.
Mike Renn
Mike Renn EVP Global Operations β€” Path Robotics
Why AI Rawat

We don't hand you a tool and leave.

Without AI Rawat
With AI Rawat

Your smartest people spend their day chasing data

Instead of making decisions, they’re reconciling spreadsheets and validating reports.

Your experts focus on decisions

Agents chase and validate the data β€” gathering, anomaly detection and root-cause analysis happen automatically.

Every team has its own version of reality

Finance, Sales and Operations each trust different numbers.

One source of truth across the org

Governed metrics ensure everyone works from the same definition.

You know what happened

Monthly reports explain yesterday’s problems.

You know what’s about to happen

Predictive monitoring highlights risks before they become business issues.

Data lives everywhere

ERP, CRM, Finance and Operations rarely speak the same language.

Every system becomes one intelligence layer

Connect all sources without replacing existing tools.

Nobody knows if the latest release worked

The investigation takes longer than the deployment.

Every release tells a story

Automatically track business impact, adoption and operational outcomes.

Questions

Things people ask before they start.

Answered plainly.

Most data projects fail because the foundation gets skipped. We audit first. Nothing gets built until that's solid.

Anyone who gives a timeline before seeing your stack is guessing. Real answer comes after the audit.

Your data stays in your infrastructure. Access controls and audit trails built into the architecture.

Tableau shows what happened. AI Rawat tells you why β€” and flags what's about to happen.

Depends on your environment. Clear number after the assessment. No published pricing β€” every deployment is different.

Over 40+ integrations β€” connect everything

We plug into your existing stack. Nothing gets replaced.

SnowflakeSnowflake
SAPSAP ERP
SalesforceSalesforce
BigQueryBigQuery
RedshiftAWS Redshift
DatabricksDatabricks
Azure SynapseAzure Synapse
PostgreSQLPostgreSQL
Google CloudGoogle Cloud
AWSAmazon Web Services
Microsoft AzureMicrosoft Azure
+ 29 more
click to view all
KafkaApache Kafka
MongoDBMongoDB
ElasticsearchElasticsearch
MySQLMySQL
HubSpotHubSpot
NetSuiteNetSuite
OracleOracle
StripeStripe
LookerLooker
HANASAP HANA
FivetranFivetran
TableauTableau

Intelligence that works everywhere your data lives.

Tell us where you are. We'll show you what's broken and what it takes to fix it.

Get Your Assessment Book a Discovery Call