High Tech
AI-based decision intelligence data analytics platform that connects customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — powering innovation with confidence
Trusted by leading organizations
Four integrated intelligence pillars that connect customer satisfaction, employee well-being, sales performance, and fraud prevention to revenue — giving every team the insights to innovate with confidence.
Product & Customer Experience Intelligence
Build products your customers can't live without. Averisys connects user behavior data, feature adoption metrics, and qualitative feedback into a single intelligence layer — quantifying the revenue impact of every product decision.
Satisfaction-to-Revenue Mapping: Quantify exactly how improvements in product experience, support quality, and onboarding translate into higher retention, expansion revenue, and customer lifetime value.
Voice of Customer: Surface the unmet needs hiding in support tickets, reviews, and NPS comments at scale — prioritized by revenue impact.
- Satisfaction-to-revenue mapping showing exactly which product and support improvements drive the highest expansion and renewal rates
- Customer health scoring integrating behavioral signals, satisfaction data, and engagement patterns into unified risk models
- Journey analytics connecting onboarding quality, feature adoption, and support experience to customer lifetime value
- Churn prediction models that identify at-risk accounts and recommend the most effective retention actions
Employee Experience & Well-Being
Winning the talent war requires more than competitive compensation. Averisys connects employee engagement, burnout, and well-being data with product quality, release velocity, and revenue — showing exactly where investing in your people produces the highest return.
Burnout-to-Revenue Mapping: Quantify how engineering turnover, disengagement, and burnout directly affect product roadmap delivery, customer satisfaction, and revenue growth.
Culture-to-Innovation Linkage: Measure the direct impact of DEI initiatives, management effectiveness, and team dynamics on innovation output and talent retention.
- Direct linkage between employee well-being metrics and product quality, release velocity, and customer satisfaction scores
- Burnout-to-revenue mapping showing how engineering turnover and disengagement affect product roadmap delivery and customer retention
- Culture analytics connecting DEI initiatives, management effectiveness, and team dynamics to innovation output and talent retention
- Workforce planning intelligence that optimizes team composition based on projected demand and employee capacity
Sales Performance & Quitting Risk
SaaS rep turnover quietly drains pipeline and ARR. Averisys connects AE and SDR sentiment, motivation, and burnout with quota attainment and territory performance — so you can predict who is about to quit and protect the revenue they carry.
Quitting-to-Revenue Mapping: Quantify exactly how seller disengagement and burnout translate into lost deals, ramp costs, and account disruption.
Coaching ROI: Identify which enablement and coaching actions are most likely to lift quota attainment and retain top sellers across every segment.
- Sentiment-to-quitting prediction that identifies AEs and SDRs at risk of leaving before resignations hit the pipeline
- Quota attainment analytics connecting seller engagement, coaching quality, and territory performance to ARR and expansion outcomes
- Attrition cost modeling that quantifies the revenue impact of seller turnover — lost deals, ramp time, and account disruption
- Sales coaching intelligence that surfaces enablement gaps and pinpoints the actions most likely to lift performance and retain top talent
Fraud Intelligence & Revenue Protection
Account takeover, subscription fraud, and chargeback abuse erode SaaS margins. Averisys analyzes user and account behavior to flag suspicious activity in real time — protecting legitimate ARR before losses are booked.
Behavioral Fraud Scoring: Detect ATO, subscription, and chargeback patterns at signup and billing — and prioritize the highest-risk accounts for review.
Friction-vs-Loss Optimization: Tune verification at signup and payment to block fraud without driving legitimate users away — and quantify the bottom-line impact of every policy change.
- Behavioral fraud scoring that flags suspicious sign-ups, logins, and billing events in real time — before chargebacks and losses are booked
- ATO and subscription fraud prediction models that quantify exposure, prioritize the highest-risk accounts, and recommend the next best action
- Friction-vs-loss optimization that tunes verification at signup and payment to block fraud without driving legitimate users away
- Revenue-protection analytics that connect prevented losses, recovered charges, and policy adjustments to measurable bottom-line impact
Advanced Machine Learning
Trend and forecasting - LightGBM
Trend and Forecasting
Track product adoption, feature usage, NPS, and employee engagement over time — forecast churn risk, renewal likelihood, and get early warnings when experience or engagement metrics deviate from targets.
Learn morePrediction - Recursive Feature Machine
Prediction
Predict customer churn, expansion revenue, and employee attrition with models that explain which satisfaction, pricing, brand, and well-being factors are driving each outcome — in clear business terms.
Learn moreRelationship - Neural Structural Equation Modeling (SEM)
Relationship
Discover connections between product experience, support quality, pricing perception, and renewal rates — map how employee engagement, brand strength, and customer success touchpoints interact to drive retention and revenue.
Learn moreGroup and Effect Analysis: Causal Forest
Segmentation
Compare performance across customer segments, product lines, employee cohorts, and regions — instantly identify which differences in satisfaction, pricing, or engagement matter for product strategy and revenue.
Learn moreTime-to-event - Random Survival Forests
Time-to-Event Analysis
Predict when customers will churn, renew, or expand — and when employees will disengage or leave. Identify timing-based risk factors and simulate the impact of retention interventions.
Learn moreAdvanced Natural Language Processing (NLP)
Sentiment Analysis - NLP
Qualitative Analysis
Analyze support tickets, NPS verbatims, employee feedback, and product reviews at scale — surface recurring themes about user experience, pricing fairness, brand perception, and workplace culture.
Learn moreAdvanced Large Language Model (LLM)
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpretation, Risk Identification, What-if Analysis, Reports, Question Responses, and Recommendation
Interpret every analytical result in plain English with executive-ready reports, risk identification, and prioritized recommendations. Ask follow-up questions in plain language and receive detailed, evidence-based answers on demand.
Learn moreAverisys Analytics guarantees its security.
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Watch a demo and discover how Averisys — an AI‑based decision intelligence data analytics platform — turns your data into clear predictions, actionable insights, and confident decisions.