Custom AI-powered dashboards we build for businesses that have data — and don't have a data team. Type plain-English questions, get instant answers. Auto-detect anomalies. Predict what's coming. Surface root causes. Built on Apache Superset, Amazon QuickSight, and modern LLMs.
Build one for your team →Most dashboards stop at "here's what happened." Ours don't. Built around a four-stage AI loop: see what's happening, understand why, predict what's next, take action.
Raw data turned into visual charts and scorecards your leadership team actually wants to look at. Real-time, customizable, branded to your business.
Type plain-English questions and get instant answers grounded in your data. No SQL, no analyst queue, no waiting on the BI team.
AI watches your metrics 24/7. Detects deviations before they become problems. Sends alerts based on the thresholds you care about.
When something's off, the AI tells you why — not just what. Correlations, contributing factors, suggested actions. Built for leaders who need to move fast.
An example of what an AI-detected anomaly looks like in practice — and how the system surfaces the likely root cause without you having to chase it down.
Operations team departures jumped from a baseline of 1.8/month to 4.4 this month — well outside normal variance.
Strong correlation with the compensation review delayed from Sept to Q1. 6 of 9 departing Operations staff had requested salary conversations in the prior 90 days. Recommend: pull comp review forward, schedule retention conversations with the 4 highest-tenure remaining team members.
Workforce metrics, financial trends, operational KPIs, customer behavior — the AI search and anomaly layers work on any tabular data source you can connect. A few common starting points:
100+ pre-built scorecards covering attrition, time-to-hire, diversity, performance distribution, comp benchmarking. The most-deployed module — currently live in production at two organizations.
Real-time revenue trends, gross margin by product line, accounts receivable aging, cash runway, expense anomalies. For finance leaders who don't want to wait until month-end to see what's happening.
Operations dashboards for service businesses, manufacturers, and distributed teams. Throughput vs SLA, quality defects, cost-per-unit, capacity utilization — with auto-alerts when anything drifts.
Customer cohorts, churn signals, LTV by segment, NPS trends, funnel conversion at every stage. Built for revenue and CS leaders who need to see which customers are slipping before they're gone.
We build on proven open-source and cloud-native foundations — not a proprietary black box. You own your data, your dashboards, and your stack.
Best-in-class BI engines for the dashboards themselves. Open standards. Your data stays in your environment.
Modern language models translate plain English to SQL against your schema — with verification before any query runs. No data leaves your environment for model training.
Time-series anomaly detection, regression-based forecasting, correlation analysis. The right model for the job — not "AI" as marketing varnish.
Connects to whatever data sources you already have. REST, GraphQL, gRPC. Custom adapters in days, not weeks.
Deploy inside your AWS, Azure, or GCP — or use our SaaS infrastructure. SOC 2 pipelines either way.
No raw OpenAI calls on sensitive data. PII masked during training and inference. Encrypted at rest and in transit.
Bring us your spreadsheets, your databases, your messy CSVs — and we'll build the dashboards your leadership team will actually open.