# QuadSci Wins Machine Learning Company of the Year Award > Source: > Published: 2026-06-25 14:50:23.317557+00:00 ### What happened AI Breakthrough's 9th annual AI Breakthrough Awards named **QuadSci** the 2026 "Machine Learning Company of the Year," per a Business Wire press release distributed June 25, 2026. The announcement states this is the second consecutive year QuadSci has received this distinction (Business Wire). Business Wire reports that QuadSci's platform ingests product telemetry, CRM, and conversational data and delivers **90%** predictive accuracy for churn and growth events **9-18 months** before renewal (Business Wire). The release also states QuadSci has analyzed over **11 trillion** telemetry events and that, on average, the company finds **15%** of its customers' ARR in a predictive growth state with no open pipeline (Business Wire). QuadSci further reports expanding integrations to more than **50** platforms and surfacing intelligence into workflows in tools including Salesloft, Gainsight, Slack, Clari, and Salesforce (Business Wire). ### Editorial analysis - technical context Companies building GTM intelligence products around product telemetry typically face large-scale time-series ingestion, feature engineering, and label-latency challenges. Achieving high forward-looking accuracy over **9-18 months** requires stable signal extraction, careful handling of covariate shift, and robust model evaluation frameworks that account for long horizons. Embedding predictions into CRM and workflow tools raises operational requirements for latency, explainability, and model monitoring. ### Industry context Industry awards like AI Breakthrough often reflect vendor positioning and market traction rather than independent benchmarking. Vendors commonly cite aggregate event volumes and high accuracy figures to demonstrate maturity; practitioners should treat those claims as vendor-reported metrics until validated externally. For GTM analytics buyers, the value proposition rests on reproducible lift in retention or expansion and on integration quality with existing sales and customer-success workflows. ### What to watch - •Independent case studies or benchmarks that disclose evaluation methodology and time windows. - •Third-party audits or reproducible metrics that verify the reported **90%** predictive accuracy and claimed ARR signals. - •Data governance and privacy practices around storing and processing telemetry and conversational transcription. - •Integration depth with CRM and engagement platforms, including real-time vs batched inference and feedback loops for model retraining. ## Scoring Rationale Vendor awards PR from a self-nomination program: all four sources are Business Wire syndications or a company profile, with no independent reporting or external validation. The reported metrics (90% predictive accuracy, 11T events, 15% ARR uplift) are unaudited vendor claims. Score reflects the limited practitioner signal of an industry awards announcement without independent corroboration. Practice with real Ad Tech data 90 SQL & Python problems · 15 industry datasets [Active Search Campaigns by BudgetEasy](/problems/sql/active-search-campaigns-by-budget) [High CPC Clicks & Poor Landing PagesMedium](/problems/sql/high-cpc-clicks-poor-landing-page) [Campaign ROAS by Attribution ModelHard](/problems/sql/campaign-roas-by-attribution-model) 250 free problems · No credit card [See all Ad Tech problems](/problems/datasets/adtech)