AI-Powered Analytics Dashboards Development That Predict, Not Just Report
Our AI analytics dashboards layer predictive models onto the BI you already have, so your dashboards tell you what's coming instead of only what already happened. Trusted by 200+ founders and leaders worldwide.
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Your Dashboard Can Tell You What Happened. Can It Tell You What's Next? Why AI dashboards are replacing static reporting.
Predictive BI cuts decision latency, the time between an insight showing up and someone acting on it, by 35% across industries.
AI-powered augmented analytics now accounts for 40% of new BI deployments.
The share of executives using BI dashboards for daily decisions rose from 48% in 2023 to 67% in 2025.
What You're Predicting Changes By Industry
A hospital's forecast and a warehouse's forecast aren't solving the same problem. We build the model around what you're actually trying to predict, not a generic template.
AI for Healthcare
HIPAA-compliant AI agents that cut administrative load, intake automation, clinical documentation support, and patient triage that frees up your care teams.
AI for Fintech
AI systems built for fraud detection, risk scoring, and compliance reporting, without slowing down the transactions your users expect to be instant.
AI for Real Estate
AI-driven property matching, automated valuations, and lead qualification that turns browsers into scheduled showings.
AI for E-commerce
Personalized recommendations, dynamic pricing, and AI support agents that convert carts instead of abandoning them.
AI for Logistics
Route optimization, demand forecasting, and AI agents that catch delays before your customer has to ask where their order is.
AI for Travel
AI-powered itinerary planning, dynamic pricing, and 24/7 booking support that doesn't put travelers on hold.
AI for EdTech
Adaptive learning tools, automated grading, and admin workflows that give teachers back their time and students better outcomes.
AI for Retail
Inventory forecasting, personalized recommendations, and AI-driven support that keeps shelves stocked and baskets full.
Added on Top of What You Already Run
You already have a BI team and a stack you're not about to rip out. We build the predictive layer on top of it, so your existing reports and dashboards stay exactly where they are, just smarter.
Before We Touch Your Data Warehouse
We work with statisticians, data engineers, and BI specialists as much as we do AI engineers, because a forecast is only as good as the pipeline feeding it. Most of our time building AI analytics dashboards goes into the data, not the model.
Services we offerFrom Your Warehouse to a Working Forecast
Pre-Project Consulting
Most BI teams know their reports cold but have never scoped what a predictive layer on top would actually forecast. We help you find the one forecast that would change a decision if you had it a week earlier. Team Size: 2 resources Timeline: 1 Day to 1 Week
Discovery Session
We look at what's already in your warehouse: how clean it is, how far back it goes, whether there's enough history to train on. Then we tell you honestly whether prediction is realistic now or the data needs work first. Team Size: 2 resources Timeline: 2 to 3 Weeks
Built on Top, Not Instead Of
We add a forecasting layer that reads from your existing stack. Your current reports and this new layer stay in sync, because they're pulling from the same source.
Accuracy You Can Check
Every forecast gets backtested against your own historical data before it goes live, so you know its track record before a decision rides on it.
A Model That Stays Sharp
Forecasts retrain as new data comes in. Accuracy gets checked on a schedule instead of quietly drifting six months after launch.
What We've
Actually Shipped
Two hundred products shipped. Zero shortcuts taken. Here’s a look at what happens when founders and leaders actually build.
See all projects →$10M
Revenue earned by client products200+
Web & mobile products shipped1,000,000
People using our builds every day
Where Analytics and Dashboards Fit In
We're the same team whether the deliverable is a forecast, a dashboard, or a full AI agent. What changes is the math underneath. For prediction work specifically, that leans harder on statisticians and data engineers.
We only add a predictive layer where the historical data actually supports it. If your data can't back a forecast yet, we'll tell you what to fix first.
A dashboard that predicts wrong quietly is worse than one that doesn't predict at all. Every model we ship carries a confidence range instead of a single number pretending to be certain.
AI-Powered Analytics/Dashboards
Our AI analytics dashboards layer forecasting, anomaly detection, and natural language querying onto the BI stack you already run, so the dashboards your team checks every morning start telling them what's coming.
Natural Language Querying (Text-to-SQL)
Users ask follow-up questions in plain English and get a chart back. We constrain the LLM to a governed semantic layer so it can't query columns you haven't approved, can't join tables it shouldn't, and can't make up a metric definition.
Real-Time KPI Tracking
Live dashboards over Kafka, Kinesis, or change-data-capture streams from
Postgres or MySQL. Sub-second update latency for ops teams who need to
see the queue depth, the SLA breach, or the conversion drop while it's
still happening.
Anomaly Detection & Alerting
Per-metric baselines that catch sales drops, churn spikes, infra latency outliers, and cost overruns automatically. Every alert ships with the contributing drivers and a drill path back to the underlying rows, so on-call doesn't start from a flat number.
Predictive Forecasting & What-If Scenarios
Demand forecasts, revenue projections, and churn predictions with scenario sliders for the exec who wants to know what happens if pricing moves, headcount changes, or a campaign budget gets cut. Backed by a held-out evaluation set, not a one-shot model.
Automated Insight Narratives
Plain-English weekly and monthly summaries written from the underlying data,
not a template. Calls out which segments moved, why, and what changed since
last period. Goes to inbox or Slack so the team reads it instead of opening
another tab.
Embedded & White-Label Analytics
Customer-facing dashboards inside your SaaS product with multi-tenant
isolation, per-customer permissioning, and your brand applied. Built to
scale to thousands of tenants without copying dashboards by hand.
What a Predictive Layer Actually Changes
See problems a month before they hit the report
A demand dip or a churn spike shows up as a forecast trend line weeks before it shows up as a bad quarter.
Stop waiting on the analyst queue
Non-technical teams get answers straight from the dashboard instead of filing a request and waiting three days for a response.
Catch the anomaly, not just the average
Standard BI shows you what typically happens. This flags the one account or region that's quietly drifting off pattern.
Spend less time building reports
Scheduled reports and threshold alerts mean nobody's manually pulling numbers every Monday morning.
Trust the number because you can see its track record
Every forecast ships with a backtested accuracy history, so your team knows how much weight to put on it before a big decision rides on it.
Not sure what's worth forecasting first
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BI & Visualization
Layered onto whichever BI tool your team already checks every morning, not a new dashboard they have to learn.
Data Science & Modeling
Forecasting and anomaly detection built with proven, well-tested modeling approaches, not experimental methods on your production data.
Databases & Warehousing
Connects to the data warehouse you already run, sized to your actual data volume.
We Don't Predict for the Sake of Predicting
We start with the decision
Before a single model gets built, we find the actual decision a forecast would change, then work backward to what needs predicting.
One team, data pipeline to dashboard
Data engineers, ML engineers, and BI specialists work together daily, so the model and the dashboard it feeds are never built in isolation from each other.
Guardrails on what the model is allowed to claim
Confidence thresholds and human review are built in, so a shaky forecast never gets presented with the same certainty as a solid one.
Tied to a business metric you already track
Every predictive feature we ship is measured against a number your team already watches, so its impact is provable.
Latest insights & resources
Where there’s smoke…
From first-time founders to billion-dollar brands — over 200 leaders have trusted us to build the thing that moves their business forward.
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