QuantifyIQ

QuantifyIQ launched to bridge the gap between engineering-heavy BI and on-demand business queries, positioning itself as a data analytics platform for non-technical stakeholders who still need governance. Built by a team with backgrounds in warehousing and ML, the product ingests event streams and warehouse tables, applies schema-aware transformations, and surfaces explainable insights. The core proposition is to reduce manual SQL work and time-to-insight by automating query generation, anomaly detection, and dashboard assembly while preserving lineage and audit trails. QuantifyIQ emphasizes traceability: every insight links back to the exact query, timestamp, and data version used. The SaaS offering is SOC 2-compliant and also available as a private VPC deployment for regulated industries.

At the feature level QuantifyIQ exposes a natural-language-to-SQL translator that not only drafts queries but previews execution plans and suggests index hints when latency exceeds thresholds. Its anomaly detection engine continuously scans time-series and categorical metrics, surfaces multivariate anomalies, and attaches a ranked list of likely root causes derived from correlated dimensions. The platform's cohort builder can slice audiences from event logs in seconds and produce retention and funnel visualizations with confidence intervals. Forecasting uses probabilistic models to project key metrics with adjustable horizons and displays uncertainty bands. For governance, QuantifyIQ records full lineage and creates immutable snapshots you can export as SQL or as parameterized metrics; teams can schedule incremental refreshes, version metric definitions, or call insights via a REST API for product embedding.

QuantifyIQ follows a tiered pricing model. The Free tier allows up to 5 saved dashboards, 1,000 query-seconds per month, and ingestion from one warehouse connection. Pro is $49 per seat per month (or $39 billed annually) and raises limits to 50 dashboards, 50,000 query-seconds, scheduled refreshes, and model-hosting for lightweight custom metrics. Business is $199 per seat per month with row-level security, SSO, 500,000 query-seconds, priority support, and dedicated onboarding sessions. Enterprise plans are custom-priced with unlimited connections, on-prem deployment, dedicated SRE, contractual SLA, and white-glove migration. New customers get a 14-day full-feature trial and volume discounts are negotiable.

QuantifyIQ is used by analytics engineers to automate metric definitions and reduce metric drift, and by product managers to run weekly funnel analyses without waiting on data teams. For example, an analytics engineer at a fintech firm might use QuantifyIQ to cut metric reconciliation time by 80%, while a product manager at a mobile app company can iterate on A/B cohorts and reduce churn analyses from days to hours. Marketing operations teams also use the platform to monitor campaign performance with alerting on spend anomalies and to export cleaned audiences to DSPs. Compared with Looker, QuantifyIQ emphasizes natural-language generation and automated anomaly explanation rather than custom LookML modeling.