AI Data AnalyticsTurn your data into decisions, not dashboards nobody reads.
We connect your scattered data, clean it and add AI that explains what is happening, predicts what comes next and tells your team what to do about it.
Revenue forecastAI
$1.42M▲ 18%
AI insight: Demand for Product A will peak in 3 weeks. Reorder now.
What we build
What we deliver
Practical AI Data Analytics that fits the way your business already works.
Data platform setup
One trusted warehouse fed by your CRM, ERP, store and spreadsheets.
AI-powered dashboards
Live dashboards that explain changes in plain language.
Forecasting
Predict demand, cash flow and staffing weeks ahead.
Customer insights
Spot churn risk, best customers and buying patterns early.
Ask your data
Type a question, get an answer with the chart behind it.
Data quality checks
Automatic alerts when numbers look wrong or go missing.
Real problems we solved
How we helped clients with AI Data Analytics
Real situations, what we did, and what changed for the business.
Retail chain
Stock-outs on best sellers every weekend
The problem
Sales, stock and supplier data lived in four systems and was merged by hand on Mondays.
How we helped
We built a cloud data warehouse with daily pipelines and a demand forecast per store and product.
The result
Stock-outs fell sharply and buyers now plan orders two weeks ahead.
Churn was only noticed at renewal
The problem
Usage, support and billing data were never looked at together.
How we helped
We joined the data and trained a churn model that scores every account weekly with the reasons.
The result
Customer success now calls at-risk accounts months before renewal.
Leaders waited a week for reports
The problem
Analysts rebuilt the same Excel reports every Friday.
How we helped
We automated the reports and added an AI assistant that answers questions on the live data.
The result
Reports are ready every morning and analysts work on new questions.
Tools and technology
Data
SnowflakeBigQueryPostgreSQLdbtAirbyte
AI & ML
Pythonscikit-learnProphetOpenAILangChain
Dashboards
Power BILooker StudioMetabaseSuperset
Cloud
AWSAzureGoogle CloudAirflow
Your return, in your numbers
See the time, cost and capacity you get back
Move the sliders to match your team. Everything updates live, based on the time your people spend on building reports and pulling data today.
0%of the work
Time back
0hours a month
That is about 0 full-time people freed for higher-value work.
The return
Measured in business value, not model scores
Faster delivery
Timelines cut by automating the slow, manual steps.
Better decisions
Forecasts and alerts based on live data.
Lower cost to serve
Agents handle routine work around the clock.
New revenue
AI features your customers will pay for.
How we work
Four clear steps, no surprises
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Step 1
Discover
We map your data and rank AI use cases by return.
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Step 2
Prove it
A proof of concept on your real data in weeks.
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Step 3
Build into your systems
Secure, integrated and approved by your team.
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Step 4
Scale & govern
Monitor accuracy, cost and risk, then expand.
Questions
Top questions about AI Data Analytics
Do we need a data team to use this?
No. We build it so managers can read and ask questions without technical help.
Our data is messy. Can you still help?
Yes. Cleaning and connecting data is usually the first step we take.
How soon will we see results?
A first live dashboard on real data usually takes 3–5 weeks.
Is our data secure?
It stays in your own cloud account, with access controls and audit logs.
Which tools do you work with?
Common ones like Salesforce, HubSpot, Shopify, QuickBooks, SAP and spreadsheets, plus custom databases.
How do you measure the return?
We agree measures up front, like hours saved on reporting or stock-outs avoided, and track them.
Tell us the problem.
We will tell you honestly what it would take and what it would return.