Loading…
Self-serve analytics in natural language — grounded in your governed semantic layer.
Six high-impact use cases delivered by built-in and customizable agents.
Ask questions, get answers, see the SQL.
Auto-narratives explaining what changed and why.
Continuous metric watch with explanations.
Always-fresh, auto-narrated executive scorecards.
Profiling, drift, lineage and freshness checks.
Multi-step analysis with traceable reasoning.
Self-serve analytics in natural language — grounded in your governed semantic layer.
Use the starter pack to ship in weeks, then extend with custom agents that fit your unique workflows.
Natural-language questions become trustworthy analysis — with the lineage, governance and explainability your CDO requires.
Business users ask questions in plain language across Slack, Teams, BI tools or the xyner console — no SQL fluency required.
Agents map intent to your semantic layer, certified metrics and source-of-truth datasets — never guessing what 'revenue' means this week.
Generated SQL / DAX / Spark runs against your warehouse with cost guardrails, lineage capture and PII safeguards.
Results are returned with the assumptions made, the data used, the freshness, and confidence in the answer — not just a number.
Recommended actions, anomaly flags and follow-up questions are surfaced — turning insight into decisions, not slides.
Real numbers from production deployments across regulated enterprises.
Business users get answers in seconds. Data teams retain control of metric definitions, access policies and quality — the long-promised win-win.
Agents continuously monitor KPIs against your business calendar, flag anomalies with root-cause hypotheses, and brief the right exec.
Concrete patterns from regulated enterprises across financial services, healthcare, telecom, public sector and manufacturing.
Risk officers explore P&L drivers, exposure changes and breaches in natural language with full lineage.
Actuaries and product managers analyze loss ratios by segment, product and channel on demand.
Operators ask about throughput, no-shows, denials and revenue cycle in plain language.
Marketing & care teams self-serve segmentation, churn drivers and campaign performance.
Programme managers explore service-delivery KPIs with statutory-reporting alignment.
Operations explore OEE, yield, quality and downtime by line / shift / SKU on demand.
BI dashboards answer the questions you knew to build. Agentic analytics answers the question you actually have.
A guided journey from your first workflow to enterprise rollout.
Pick one workflow; run alongside your team in copilot mode.
Validate KPIs and ROI against a clear baseline.
Layer policies, approvals and audit thresholds.
Expand to additional workflows and teams.
Plays well with
Yes — dbt, LookML, Cube, and custom semantic models are first-class.
Only under explicit policy — read-only by default.
See xyner in your environment with a guided executive demo.