200+ connectors — every source, no latency, no code.
Contextualize, model and prepare data for every team.
Governed, lineage-traced, compliant by design.
Copilots, agents, data products and APIs that act.
Aggregate and harmonize customer, recharge, and device data from CRM, billing, and OTT platforms.
Link subscribers, packs, payment events, and churn to reveal causal paths and intervention points.
Natural-language queries over unified data—get actionable answers, not just reports.
Launch agents to automate recharges, offers, and compliance checks—closing the loop instantly.
200+ pre-built connectors ingest subscriber, recharge, device, and payment data from all core platforms.
SCIKIQ tags and harmonizes entities—linking subscribers to packs, devices, and payment events.
Duplicates resolved, relationships mapped—building a business graph of every subscriber, recharge, offer, and churn event.
Lineage, quality, and access controls enforced for audit-readiness and compliance.
SCIKIQ delivers a unified, AI-ready data fabric in under 6 months—at 60% lower TCO and 85% faster integration than custom builds, with proven DTH/OTT connectors.
Goes beyond dashboards—contextualizes recharge, churn, and offer data into actionable, closed-loop interventions, not just reports.
Purpose-built for subscription businesses—models packs, payments, churn, and compliance, with 200+ connectors for CRM, recharge, and OTT platforms.
Grounds every Copilot answer in governed, real-time business data—ensuring explainability, compliance, and actionability, not hallucinations.
Unify every subscriber’s recharge, pack, and complaint history to flag churn risk and trigger rescue actions instantly.
Monitor real-time collections, ARPU, and recharge failures—drill down to root causes and automate recovery.
Automate compliance checks and audit trails for packs, pricing, and subscriber data—minimizing regulatory risk.
Target high-value segments with tailored offers and OTT cross-sell—measuring uplift and ROI in real time.
Track device health, installation cycle times, and multi-TV household adoption to optimize field ops and reduce churn.