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ConversionAI B2B
Grow B2B Bigger, Faster & Cost-Effectively
Deliver up to 25x More Conversions per Ad $ spent
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Natural Language Processing (NLP) helps enhance Ads & Content
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Quantitative Analysis helps improve Bidding, Budget
Planning and Placement -
Results in more and higher quality leads
B2B Account Behavioural Analysis drives
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Improvements in Sales follow-up prioritization and timing
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Re-Marketing and engagement optimization to close more Sales
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Cross Sales & Marketing budget optimization
ConversionAI Marketing
Core Intelligent Marketing B2B + B2C

Intelligent Interactions Manager (IIM): Data capture and AI driven Pop-Ups designed to increase Engagement on website
Brand Maximization: Optimize online Ads for higher growth and increased engagement while lowering acquisition costs
PR & Press Placement: Analysis for cost-effective PR & Press Placement
Sales Acceleration: Initially limited to B2B. Likely support B2C in future (especially high value customers)
Question Answering & Conversations: Chatbot to increase Engagement and reduce support costs
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Deliver 2x+ value on Internet Marketing by increasing
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Cost-effective Acquisition
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Total Engagement
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Goal Completion / Conversion
Acquire more data using IIM and other tools
Complete testing at a lower cost point
Demonstrate business scalability and secure funding
FinanceAI

Increase Return & Reduce Risk for Institutional Investors
Intelligent alerts based on thresholds and anomalies
Magnitude and / or direction prediction for equities, and risk alerts
High-yield and low volatility Long-Short and Call-Put micro portfolios with 5 / 10 day trades
Conversational Interfaces for complex charting and reports
Asperios Finance Long Picks
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Direction accuracy ~70%
Magnitude change greater in direction of prediction
Asperios Finance Simulations (5 day trades)

Asperios trades were held for 5 days unless stop loss criterion was met
S&P 500, RUSSELL 1000, RUSSELL 2000 returns are based on market price changes. Volatility based on End Of Day (EOD) price.
BizML Framework

Software and Process used to build Asperios Marketing & Finance
External Data to augment Internal Data
Exploratory Data Analysis on both External & Internal Data
Feature Engineering and Feature Selection to significantly improve Signal-to-Noise Ratio
Model Training, Deployment & Evaluation
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Can work with less data
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Supports many more use cases
Reduce initial Time-To-Market by at least 50%
Reduce compute requirements by 70% or more
Typically improve accuracy by 5% to 20%
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Alternatively reduce error rates by 10% to 50%
Rapidly add more functionality faster by leveraging Microservices Architecture and Agile Delivery
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