Know what's coming before it shows up in your numbers
Machine learning on your sales and operations data to forecast demand, spot customers likely to leave and flag unusual activity, shown in dashboards your team can act on.
Where it saves time
Common places businesses start. We help you pick the one with the biggest payoff.
Demand forecasting
Predict next weeks' orders by product so you stock the right amount.
Churn warning
Spot customers who are likely to stop buying while you can still win them back.
Anomaly alerts
Flag unusual spikes or drops in sales, refunds or costs as they happen.
Lead scoring
Rank leads by how likely they are to convert so sales calls the best ones first.
Pricing insights
See how price changes affected demand and margins.
Capacity planning
Plan staff and vehicles around forecast workload.
How it works
- 1
Check your data
We review what data you have, how clean it is and how far back it goes.
- 2
Build a first model
A baseline forecast is tested against past results to show its accuracy.
- 3
Put it in a dashboard
Forecasts and alerts shown where your team already works.
- 4
Keep it accurate
The model is retrained as new data arrives and accuracy is tracked.
What you get
- Data review and clean-up plan
- Forecast or scoring model built on your data
- Accuracy measured against past results
- Dashboard with clear next steps
- Alerts by email or WhatsApp
- Regular retraining
Built with
Python
PyTorch
TensorFlow
PostgreSQL
Google Sheets
We're model-agnostic: the right model depends on your task, budget and data rules, and you aren't locked to one provider.
AI you can safely trust with real work
The most common worries about AI are wrong answers, leaked data and surprise bills. Each one is designed out from the start.
A person approves key actions
Payments, refunds, customer messages and record changes wait for approval until you choose otherwise.
Answers come from your data
Assistants answer from your documents and show their sources, and say so when they don't know.
Your data stays private
We agree upfront where data is stored and processed, and use providers and settings that don't train on it.
Running costs you can predict
Usage limits, cost tracking and the right-sized model for each task, so the monthly bill holds no surprises.
Forecasts and insights questions
Straight answers before you start.
Still have a question?
Ask us directly. A real person replies within 24 hours.
How much data do we need?
Usually at least a year of history for forecasts, so seasonal patterns show up. We check your data first and tell you honestly if it's enough.
How accurate will the forecast be?
We test the model on past periods it hasn't seen and show you the error range before you rely on it. No forecast is perfect, so we show ranges, not single numbers.
Do we need a data team to use it?
No. Results appear in a simple dashboard or a daily message, with plain-language explanations.
Can it use data from Excel or Tally?
Yes. Exports from Excel, Tally, your store or billing software are a common starting point.
Tell us about your project
Share a few details and we'll come back with honest advice, even if we're not the right fit.
What happens next
Step 1: We reply within 24 hours
A real person reads every message and writes back.
Step 2: 30-minute discovery call
We talk through your goals, users, timeline and budget.
Step 3: Written scope and fixed quote
You get a clear plan and price before any work starts.