Agentic AI-powered Decision Intelligence by Connecty AI, powered by an Autonomous Semantic Graph — fully contextualized to your business.
It learns your business logic, goals, and performance patterns automatically, then recommends the highest-impact actions aligned with your goals — continuously. Powered by a Day-Zero Semantic Layer and Autonomous Semantic Graph (ASG), Connecty links every metric, system, and signal, translating raw data into goal-oriented decisions.
"Mobile users from paid ads are abandoning at the payment step. The new 3-step checkout increased friction by 40%. Recommend reverting to single-page checkout for mobile traffic. Expected impact: +12% conversion rate."
Autonomous, goal-oriented intelligence that delivers measurable impact across sales, product, operations, and risk.
Stop wasting time on cold leads. Connecty AI automatically identifies your highest-value prospects by unifying signals across every touchpoint — website behavior, email engagement, firmographics, and more.
Unlock hidden revenue in your existing customer base. Connecty AI learns product affinities and journey patterns to surface your next best offer at exactly the right moment.
Connecty AI automatically maps and diagnoses funnel performance. Detects drop-offs, quantifies impact, and recommends the actions that will recover lost conversions.
Unify CRM, ERP, and marketing data into one 360° customer view. Automatically discover natural segments that drive better targeting, retention, and upsell strategies.
AI-powered risk scoring and pricing guidance that adapts dynamically to new underwriting data, claims patterns, and external risk factors — fully explainable and auditable.
Connecty AI automatically discovers your business logic, infers relationships, and learns what drives success — then recommends where to act next.
Infers goals, dependencies, and relationships across CRM, marketing, product, and finance with autonomous schema understanding.
Learn about Autonomous Semantic Graph →When KPIs shift — conversion, pipeline velocity, churn — Connecty traverses your ASG to reveal causes and the actions most aligned to goals.
Explore Day-Zero Semantic Layer →Not dashboards — decisions. We prioritize actions and quantify expected impact so teams know exactly where to act next.
Decision Intelligence understands context, causality, and business impact — then acts on it.
Discovers hidden correlations and causal relationships without manual analysis.
Understands your unique business context and goals to deliver relevant insights.
Forecasts outcomes and suggests actions with quantified expected impact.
Connects marketing, sales, product, and operations for a holistic view.
No YAML, no rule-building, no dashboard sprawl — it learns automatically.
Gets smarter over time from outcomes and feedback loops.
Connecty AI auto-generates a complete, trusted semantic model the instant your data connects — no YAML, no manual setup, no waiting. It learns your schema, relationships, and KPIs automatically, delivering a query-ready foundation for analytics and AI from day one.
From raw data to semantic intelligence in minutes — zero configuration required.
Learns schema, joins, and query intent to build accurate business logic automatically.
Ensures consistent, verified metrics and relationships across every analysis.
Everything is designed to move your real business KPIs — with clarity and speed.
Optimizes for business outcomes, not vanity metrics.
Every recommendation includes context and rationale.
Day-zero semantics, minimal manual work, and instant decisions.
Bottom line: decisioning that's explainable, governed, and safe — without the integration drag.
Data-in-place architecture ensures that all processing occurs exclusively within your data warehouse.
PII data management has never been easier - fully autonomous with human validation.
GDPR compliant. ISO 27001 & SOC 2 Type II certifications in progress.
Decision Intelligence is the next chapter in analytics — context-aware, goal-driven, and actionable.
Manual dashboards and static reports. Shows what happened but requires constant interpretation.
Pre-built metrics and alerts. Faster insights but still lacks business context.
Predictions via ML models — but they need ongoing tuning and maintenance.
Autonomous learning of business goals. Zero-config system that understands context and recommends actions.
Stop analyzing data. Start understanding decisions.
