01
We connect the sources
CRM, ad accounts, finance, the site — consolidated into one store.
[/services/analytics]
Data that tells you itself where the money is and where it's failing.
AI analytics: automatic reports, anomaly detection, forecasts of sales / demand / churn. Data from CRM, ads, finance — in one window with conclusions in plain language, not a table with 40 columns.
what it is
What it is and who it's for
We pull data from all your systems into one place and lay AI on top: it doesn't just draw a chart, it writes a conclusion — what happened, why, and what to do. Plus it forecasts ahead on your own data.
Who it's for: businesses drowning in data but unable to keep up with analysis, who want to predict rather than react after the fact.
how it works
How it works
02
We build a dashboard + AI layer
Metrics, auto-reports with conclusions, anomaly alerts, forecasting models.
03
You get conclusions, not tables
Daily/weekly — a report in plain language. Ask your analytics in words — it answers.
capabilities
What it can do
Auto-reports with conclusions
Daily or weekly: what changed and what to do about it.
Anomaly detection
CPA spiked, conversion dropped → an alert right away, not a month later.
Forecasts
Sales, demand, customer churn, capacity — ahead of time.
A single dashboard
Data from all systems in one window, no 5 tabs.
“Ask your analytics”
You ask in words — the AI answers from your data.
Similar projects
All cases →
pricing
from $3.2
auto-reports and dashboards. Forecasting models — from $6.
We lock the exact range after a free audit. Full pricing →
frequently asked
What if…
“How accurate are the forecasts?”+
A forecast isn't magic, it's statistics on your data. The more quality history, the more accurate. We always show a range and a confidence level, not “one number out of thin air”. It's a decision tool, not fortune-telling.
“Where does it get the data?”+
From what you already have: CRM, Google / Meta / TikTok Ads, GA4, financial spreadsheets, your database. We connect via API or export.
“What if there are many systems and they don't talk to each other?”+
That's exactly the typical case. We consolidate the “zoo” into a single store — then analytics works on top of all of it together.
from the blog
Helpful reads on the topic
AI for business
Multilingual AI chatbot done right
How to build a multilingual chatbot where non-English replies sound native, not machine-translated. Architecture, quality control and the mistakes to avoid.
Guides
Automating content without the AI slop
How to automate content without turning your blog into generic mush: a brand-voice pipeline with human editing gates and quality control.
Technology
Designing bot-to-human escalation that keeps CSAT high
Escalation logic: handoff triggers, RAG-based confidence thresholds, and handoff UX that keeps CSAT high.
let's talk
We'll show you what's hiding in your data.
30 min: which systems, what decisions you need to make, what forecasts you need — and a price range.