Acme Web Applications Find the fair market price of any tangible asset Acme’s PUFFER application (Price-Utility Formulas for Evaluation of Risk) is an automated computer model that uses scraped internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals for a specific tangible asset and makes a recommendation per assessed risk. Learn More Learn More Acme Web Applications Find the fair market price of any tangible asset Acme’s PUFFER application (Price-Utility Formulas for Evaluation of Risk) is an automated computer model that uses scraped internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals for a specific tangible asset and makes a recommendation per assessed risk. e(p)  = (∆Q/Q) / (∆P/P) Qd = x - yP Equilibrium Price Qs=2+5P PUFFER (Price-Utility Formulas for Evaluation of Risk) is an automated computer model that uses scraped internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals for a specific tangible asset and makes a recommendation per assessed risk. Supply & demand curves, equilibrium price Graph Illustrations Take fetched values and data a step further with instant graph illustration depicting approximate supply and demand curves, elasticities, and equilibriums. Easy APIs Integrate Acme with your web application via simply to use, and low-code REST API solutions. Estimate real-time values of machines, devices, or equipment in seconds. Automated Real-Time Pricing Receive real-time pricing data showing estimated market values for any locatable, tangible asset. Risk Indices Gather valuable data indicating whether a potential asset investment may entail evaluated risk of defect or catastrophic failure. Competition Analysis Thinking of selling? Check interpreted supply curves interpreting real-time market price and quantity. Acme also compares substitute assets and estimates consumer utility for each. Machine + Human Learning Acme uses previously submitted asset data to form more accurate results. It also flags low-confidence submissions for human review by programmers whom deliver revised data back to users. Learn How Acme Works By employing sophisticated web scraping technology, Acme combines published internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals, on-demand. Whether you’re underwriting risk, evaluating asset surpluses, or liquidating specialized equipment, Acme can help! How Acme works for you? By employing sophisticated web scraping technology, Acme combines published internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals, on-demand. Whether you’re underwriting risk, evaluating asset surpluses, or liquidating specialized equipment, Acme can help! Automated Real-Time Pricing Receive real-time pricing data showing estimated market values for any locatable, tangible asset. Easy APIs Integrate Acme with your web application via simply to use, and low-code REST API solutions. Estimate real-time values of machines, devices, or equipment in seconds. Graph Illustrations Take fetched values and data a step further with instant graph illustration depicting approximate supply and demand curves, elasticities, and equilibriums. Risk Indices Gather valuable data indicating whether a potential asset investment may entail evaluated risk of defect or catastrophic failure. Machine + Human Learning Acme uses previously submitted asset data to form more accurate results. It also flags low-confidence submissions for human review by programmers whom deliver revised data back to users. Competition Analysis Thinking of selling? Check interpreted supply curves interpreting real-time market price and quantity. Acme also compares substitute assets and estimates consumer utility for each. Learn How Acme Works How Acme works for you? PUFFER (Price-Utility Formulas for Evaluation of Risk) is an automated computer model that uses scraped internet data, machine learning, and a complexity of variables and constants to provide estimated appraisals for a specific tangible asset and makes a recommendation per assessed risk. e(p)  = (∆Q/Q) /
(∆P/P) Qd = x - yP Equilibrium Price Qs=2+5P Supply & demand curves, equilibrium price PUFFER's ability to compare similar assets within a categorical data structure provide users insights to understand the change in consumer behavior that occurs in response to a change in the price of their asset.

When the price of their asset increases, prospective buyers may be less willing to purchase it and may instead choose to substitute it with a similar but less expensive asset. Consumers typically see the higher price as a reduction of their perceived value or utility of the asset, making it less desirable to them.

The substitution effect of elasticity is an important variable in the PUFFER algorithmic model, as it helps to collect demand data relating to how changes in price can affect a prospective buyer of their asset-- ultimately resulting in a more realistic asset valuation.

Consumer Utility,
Substitution Effects PUFFER is able to graphically display its factors of valuation per plotted supply and demand curves with respect to the applications' perceived elasticity of the appraised asset.

Users can simulate a shift in supply or demand using a simple interface to shift both curves. PUFFER automatically calculates new equilibrium pricing given a shift in either. Graphical Representation,
Elasticity Calculations Thinking of purchasing an undervalued asset that may take your business to the next level? Use PUFFER's inherent recommendations to determine if underlying risk may compromise utility, efficiency, or eventual return on investment. PUFFER provides risk assessments that include: total loss predictions, catastrophic defect likelihood and estimated depreciation.

Further, PUFFER can graphically demonstrate the time-value of liquid cash-equivalents, versus the opportunity cost of the tangible asset, automatically-- with a predicted discount rate.
Inherent Recommendations PUFFER's ability to compare similar assets within a categorical data structure provide users insights to understand the change in consumer behavior that occurs in response to a change in the price of their asset.

When the price of their asset increases, prospective buyers may be less willing to purchase it and may instead choose to substitute it with a similar but less expensive asset. Consumers typically see the higher price as a reduction of their perceived value or utility of the asset, making it less desirable to them.

The substitution effect of elasticity is an important variable in the PUFFER algorithmic model, as it helps to collect demand data relating to how changes in price can affect a prospective buyer of their asset-- ultimately resulting in a more realistic asset valuation.

Predict value, happiness, or satisfaction of one asset compared to another.

Understanding the economic action of individuals, households, and firms

Consumer Utility,
Substitution Effects Graphical Representation,
Elasticity Calculations Get Started With Acme Ready to start utilizing Acme? Chat with a developer today!