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All your analytics and BI
in one place

TQG pulls data from your databases and CRM, aggregates it in its own engine, and ships BI reports, CSV tables and interpreted advice to the messenger your team already uses — Telegram, Slack or Teams.

Sources Engine LLM layer Outputs
Postgres
BigQuery
CRM
TQG Enginenormalize
aggregate
calculate
LLM layerinterpret
explain
rank
BI report
CSV tables
Advice & insights
→ Telegram · Slack · Teams
PostgresBigQueryCRM
TQG Engine
normalize · aggregate · calculate
LLM layer
interpret · explain · rank
BI reportCSV tablesAdvice
Telegram · Slack · Teams

How it works

From raw tables to a verdict in your workspace.

Four steps — click any of them to see the mechanics.

01

Connect your data

Raw tables from your data pool and CRM stream into the engine — deployed on its own server, read-only. No SDKs, no event rewrites.

02

The engine builds baselines

Baselines and rules are collected into a knowledge base inside the engine — and tuned against the averages it already knows from working with other clients.

03

The LLM layer answers

Your request goes to the LLM: it interprets, queries the engine for the answer, and returns it in the format you asked for — text, table or chart.

04

Alerts & answers, on your schedule

Daily, weekly or monthly — fully customized. Any data request: aggregations, complex queries, advice on rates and next actions.

Step 01 · raw data → engine
user_idgeodepositts
84120DE120.0009:41:22
84121TR45.0009:41:25
84122DE80.0009:41:31
Data pool · SQLstreaming ✓
CRMconnected ✓
engine hostdedicated server · read-only access
Step 02 · knowledge base · inside the engine
baselinedeposits · geo × device · 28d rolling
baselineconversion · source × campaign
ruleCAC drift > 15% → flag
seasonalityweekday · payday profile

Thresholds don't start from zero — they start from the averages the engine already knows from other clients, then adapt to yours.

212 baselines38 rulesupdated hourly
Step 03 · request → answer
average deposit by geo, last week — as a table
LLM · interpretsengine · answersLLM · formats
geoavg depositvs prev week
DE€96+4%
TR€41−3%
BR€38flat
formattable · on request: text, chart
Step 04 · delivery · fully customized
daily · 09:00weekly · Monmonthly · 1st
dailyKPI digest → your channel
weeklydeep-dive report · BI + CSV
monthlyreview + recommendations
ad-hocaggregations · complex queries · advice

Advice included: rates, actions, what to pause and what to scale — answered from your own data, in your messenger.

Capabilities

Unlimited ways to work with your data.

Six placeholders below — each tile will hold a live capture of the product. Synthetic data, real mechanics.

Slack

A daily digest: alerts and what to do today

Every morning — all overnight alerts plus recommendations on what's worth doing today, in one message.

Slack

Ask any way you like

Free-form questions in plain language — the bot parses the intent and answers with the numbers.

Slack

Recommendations, calculated and explained

Ask what to do — it runs the numbers and shows the reasoning behind the advice, not just a verdict.

Slack⛶ click to enlarge

Cohort analytics, charted

Cohorts and metrics rendered as charts right in the thread. Click the tile to see it full-screen.

Slack

Any metric, any breakdown

Ask for any cohort or metric split by any parameter — geo, source, device, campaign — in one message.

Dashboard

Drill down until it's solved

Follow-ups keep the thread's context — each question goes one level deeper, until the answer is found.

This is a fraction of what it does. Book a call

Price

Priced by project, not by tier.

The rate follows the complexity of your project. Three parts — each billed on its own.

Step 01 · Audit
Billed separately
Fixed price, agreed upfront.
  • Tech & data audit
  • Process map
  • Project proposal — cases to build
  • Scope & estimate for the project
Book a call
Step 02 · Project
By complexity
Each project priced on its own.
  • Implementation of the chosen scope
  • Milestones & acceptance criteria
  • Timeline follows complexity
  • Pilot in production, then handover
Book a call
Step 03 · Support
Monthly
Scoped to your request.
  • Monitoring & tuning
  • New queries, reports and alerts
  • Baseline & rule updates
  • Scale up or down month to month
Book a call

Contact

See it on your data.

30 minutes, your metrics, no slides. We connect a sample source live and you watch the first verdict arrive.

Cal.com / Calendly inline embed · 420×620