QAI - Quota

Discover relationships in historical actions, market effects, future projections and competitor ecosystems

QAI is a relational AI model which looks for the relationships inherent in transactional, seasonal, location-specific, industry, market and human capital data. This means QAI goes beyond standard statistical modelling, able to map real-time inputs from General Ledgers and combine them with finance-adjacent aspects such as payroll, square-footage and commodities.

QAI is non-destructive, meaning it takes accumulated, anonymized outputs from QCS and Smartbudgets and combines them with Touchstone analysis to produce an insight layer that is designed to provide powerful context without clouding the operational numbers that really matter.

Relational

QAI looks for, establishes and tracks relational data within individual business, models, industries, locations and markets to find reactive and proactive triggers that can power deeper insights.

Non-destructive

Financial data is some of the most relied on, trusted and protected data in the world. QAI is a non-destructive and read-only, keeping financial data untouched, anonymous and secure.

Comprehensive

Powered by the depth of QCS, QAI is able to find relationships in infinite sub-classifications across over 710 industries and utilize over 1,000,000 active SMB behaviours in it’s processes.

Projective

QAI works on active data sets which include Smartbudget projections meaning it's able to combine both past and future data in it's analysis.

Human

Leveraging QCS as its architecture means that QAI is learning from data verified, edited and inputted by qualified accountancy professionals with deep expertise.

Grounded

QAI is grounded in QCS which itself is grounded in the General Ledger giving tight guard rails for relational calculation and reducing false positives.