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Ian	Foley
CEO	&	Founder
Confidential
The machine learning economy is here.
Targeting	the	Commercial	Lending	&	Insurance	Market
SMALL	BUSINESS	MARKET	IS	
HUGE	OPPORTUNITY,	BUT	
CHALLENGING	TO	SELL	INTO.
MACHINE	LEARNING	CAN	PROVIDE	
A	SCALABLE	SOLUTION.
ACUTEIQ’S	PRODUCT	SOLUTION.
• 21M	businesses
DATA	+	PLATFORM
• Machine	learning	to	find	“active	
signals”	of	purchase	intent
• +500	million	data	facts
DIFFERENTIATION.
• Scalable Approach to Data Integration
• Data Depth
• Self-Learning Platform
MACHINE	LEARNING	CAN	POWER	THE	
LENDING	LIFE	CYCLE	FOR	BANKS
PRODUCT	OVERVIEW:	Managed/Self-service	
platform.
Loan	Application	
Declined
Loan	Application	
Approved
Business	Insights
Leads
OUR SOLUTIONS.
Q1: How do we originate new SMB loan applicants?
acuteIQ: Event-based trigger for a business needing
a certain lending product.
Q2: Will I get paid?
acuteIQ: Business Risk Rating (BRR) analyzing
bankrupt/defaults by industry or company.
Q3: Will I get paid on time?
acuteIQ: Credit Risk Rating (CRR) analyzing likely
delinquency of payments by industry or company.
HOW	OUR	SOLUTIONS	DELIVER VALUE.
Q1: How do we
originate new SMB
loan applicants?
Event-based trigger
• Business Lifecycle Trigger. Predictive based on industry/business size.
Tied to individual bank products (eg. Line of Credit for startup at Series C
round, Commercial real estate SBA loan for retailer after 4 years)
• Activity Signal. Predictive based on business behavior. Indirectly linked to a
bank product (eg. Working capital loan for a restaurant’s liquor license about
to expire, Working capital loan to a construction company that has recently
won a contract)
Q2: Will I get paid?
Business Risk Rating
Q3: Will I get paid on
time?
Credit Risk Rating
• Based on industry-specific characteristics, layered on top of a meta rating
from 3rd party Credit Bureaus
• Risk scores are assigned by correlating known delinquency behavior
according to location and industry. Percentile scores measure the relative
risk of a given business in the population, and are categorized into 5 classes
based on probability of delinquency in the next 12 months. For reference,
companies in the highest risk class have around 50% chance of delinquency,
and companies in the lowest risk class are 1-2%.
Data Warehouse
BigQuery
Lead Generation API
Compute Engine
Generated Leads
Cloud Storage
3rd party data
acuteIQ data
ACUTEIQ’S	TECHNOLOGY	AND	DATA	
INTEGRATES	INTO	LENDING	SYSTEMS.
Google Cloud Solutions
Used by acuteIQ
API API
Client Data Pipeline
TensorFlow ML
Customer
Profile
Bank
Credit Box
Parameters
acuteIQ
Loan Training Data
acuteIQ
Market, Credit and
Insights Data
IDENTIFYING	THE PROFILE
BASED	ON	UNIQUE	TRAINING DATA
EXAMPLE:	ACQUIRING	SBA CUSTOMERS
MACHINE	LEARNING	CAN POWER		
THE	INSURANCE	LIFE CYCLE
PRODUCT	OVERVIEW:	Managed/Self-service	
platform to	support origination.
Policy Application		
Approved
Business Insights
Leads
Policy Application
Declined
Inputs	for self-
learning
OUR SOLUTIONS.
Q1: How do we originate new policy applicants?
acuteIQ: Event-based trigger for a business needing
a certain insurance product.
Q2: Will I get paid?
acuteIQ: Business Risk Rating (BRR) analyzing
bankrupt/defaults by industry or company.
Q3: Will I get paid on time?
acuteIQ: Credit Risk Rating (CRR) analyzing likely
delinquency of payments by industry or company.
HOW	OUR	SOLUTIONS	DELIVER VALUE.
Q1: How do we
originate new SMB
policy applicants?
Event-based trigger
• Business Lifecycle Trigger. Predictive based on industry/business size.
Tied to individual insurance products (eg. D&O insurance)
• Activity Signal. Predictive based on business behavior. Indirectly linked to
an insurance product (eg. increase in umbrella insurance coverage to a
construction company that has recently won a contract)
Q2: Will I get paid?
Business Risk Rating
Q3: Will I get paid on
time?
Credit Risk Rating
• Based on industry-specific characteristics, layered on top of a meta rating
from 3rd party Credit Bureaus
• Risk scores are assigned by correlating known delinquency behavior
according to location and industry. Percentile scores measure the relative
risk of a given business in the population, and are categorized into 5 classes
based on probability of delinquency in the next 12 months. For reference,
companies in the highest risk class have around 50% chance of delinquency,
and companies in the lowest risk class are 1-2%.
Data Warehouse
BigQuery
Lead Generation API
Compute Engine
Generated Leads
Cloud Storage
3rd party data
ACUTEIQ’S	DATA	CAN	BE	INTEGRATED	
DIRECTLY	INTO	AN	INSURANCE	COMPANY.
acuteIQ
database
Self-learning database,	
customized	to	every user
Triggers from company	
lifecycle	or	event signals
Business	and	Credit Risk
Scores
General	business industry
and	economic data
Insurance	triggers from
company	financial info
COMPETITION.
Number of SMB records21 million
The machine learning economy is here.
The	way	we	have	done	business	has	fundamentally	changed.
Ian Foley
CEO & Founder
ifoley@acuteIQ.com
415 531 0098

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