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HOW IT WORKS KPILOT CLOUD

A simple experience for your business teams

One question. Fully validated. One answer. KPIlot Cloud abstracts technical complexity to deliver clear, instant insights from your data.

1
Connect your data

Connect all your data sources (BigQuery, Excel, CSV, APIs, scraping) and analyze everything from a single place.

 
2
Ask your questions

Write in natural language, just like you would with an analyst.
No SQL. No complex dashboards. No friction.

 
3
Get a reliable answer

The query is generated, validated, executed, and returned as a clear answer, table, or chart.

 
 
 
USE CASES KPILOT CLOUD

Real use cases for your teams

KPIlot Cloud is built for everyday decisions  campaigns, revenue, sales performance, overall management, and quick access to KPIs.

Marketing

Analyze your campaigns, acquisition, ROI, and cross-channel performance.

  • Customer acquisition cost
  • Channel comparison
  • Campaign analysis
Finance

Track your revenue, trends, margins, and forecasts with instant, reliable insights.

  • Forecasting
  • Revenue tracking
  • Month-over-month comparison
E-commerce

Query your sales, LTV, churn, promotions, or customer cohorts directly from your data.

  • Sales analysis
  • LTV and repeat purchases
  • Customer segmentation
Direction & BI

Quickly access key KPIs and get a clear view of your business to make confident decisions.

  • Business overview
  • Predictions
  • Decision support
ARCHITECTURE KPILOT CLOUD

An architecture built for reliability

KPIlot Cloud is built on a modern data stack to ensure reliable, governed, and scalable analytics. Every component serves one purpose: eliminate guesswork.

Google Cloud

CRM, e-commerce, analytics, and business databases: all your sources are connected and unified.

Vertex AI

Reliable, secure intelligence connected to your data — built to scale with you.

BigQuery

Analyze massive volumes of data with industry-leading performance.

dbt Labs

Data is structured and transformed to be directly usable by business teams and AI.

Gemini 2.5 Pro

AI understands your questions, generates reliable queries, and delivers clear answers in natural language.

Cloud Run

High-availability serverless architecture for the KPIlot Cloud backend — flexible, performant, and infrastructure-light.

OpenMetadata

Your data is structured and documented to ensure reliable analytics.

Artifact Registry

Technical components are stored and versioned to ensure platform stability.

AI-POWERED ANALYTICS KPILOT CLOUD

How does KPIlot Cloud work ?

Run advanced analyses such as correlations, segmentation, forecasting, and trend detection directly on your data. You simply ask a question in natural language, KPIlot Cloud identifies the right data, generates a secure query, and returns a reliable answer aligned with your business rules.

1

Query your data in real time

Ask business questions in natural language and get instant answers from your data.

  • What is the revenue for the past months ?
  • Show me the last 10 leads
  • What are the top 10 products ?
  • Who are the top 10 customers ?
2

Smart forecasting & correlations

Forecast your future performance and uncover key relationships within your data to better manage your business.

Analyze trends and detect correlations between your revenue, customers, and marketing actions to make faster, more reliable decisions.

3

Instant insights

Get clear answers from your data without complex dashboards or technical tools.

4

Reliable and secure

All queries are controlled and validated to ensure reliable analytics and secure access to data.

A product logic already in place

Ask any business question in French. KPIlot generates the SQL query, validates it against your data contract, executes it on BigQuery, and returns a structured, reliable answer.

  • Which customer segment generates the most margin this quarter ?
  • Schema, authorized datasets, cost guardrails, and business rules are controlled
  • BigQuery executes only compliant, secure, and governed queries
  • Clear answers delivered as tables, charts, or actionable insights ready for business use
DIFFERENTIATION KPILOT CLOUD

Other AI guesses. KPIlot Cloud verifies.

Where generic tools improvise, KPIlot Cloud enforces strict business rules before every analysis.

Other AI tools

Ask a business question… and hope for the right answer.
These tools generate SQL without real control and can produce inconsistent results.

  • Generate SQL without validating the schema
  • Access all tables without restrictions
  • Produce inconsistent results
  • No data governance
  • Ignore business definitions
  • Little to no traceability

KPIlot Cloud

Every query is controlled, validated, and executed according to your business rules.
The result: reliable, consistent, and actionable answers.

  • Validated against your data contract before execution
  • Access limited to relevant data only
  • Reliable and reproducible results
  • Structured and well-understood data
  • Unified business metrics
  • Full traceability
GOOGLE FOR STARTUPS PROGRAM KPILOT CLOUD

Cloud credits application

KPIlot Cloud is not just a chatbot.
It is an enterprise-grade data and AI platform, natively built on Google Cloud.

Every component is already in place and operational: Cloud Run, Vertex AI, BigQuery…
The goal now is to accelerate analytics and prediction capabilities with cloud credits.

  • 100% Google Cloud stack — no external dependencies
  • Hosted in Europe — GDPR compliant
  • Scalable architecture — controlled costs from day one
  • AI already integrated and used in production
  • Platform ready to scale with cloud credits
  • Predictive models being deployed
Planned use of credits
Vertex AI — IA Analyst Priority 1

Develop AI capable of analyzing data and automatically generating insights.

BigQuery ML Priority 2

Build predictive models for churn, LTV, performance, and trends.

Cloud Run — multi-tenant Priority 3

Make the platform scalable to support multiple clients and environments.

Observabilité & Monitoring Priority 4

Monitor platform performance, costs, and reliability in real time.

CLOUD CREDITS USAGE PLAN KPILOT CLOUD

What Google Cloud credits will help accelerate

ROADMAP — WITH GOOGLE CLOUD CREDITS
1
Q1 2026 — COMPLETED ✓

Data and AI platform foundations

Infrastructure deployed on Google Cloud Platform:
BigQuery for data, Cloud Run for execution, and Vertex AI for intelligence.

The platform is already operational with live analytics in production.

2
Q2 2026 — IN PROGRESS

AI reliability improvements

Enhancing the use of Vertex AI to generate reliable analyses,
and structuring data in BigQuery to ensure consistent results.

3
Q3 2026 — PLANNED

Predictive analytics with BigQuery ML

Deploying models with BigQuery ML to anticipate behaviors:
churn, sales performance, and growth opportunities.

4
Q4 2026 — PLANNED

Scaling on Cloud Run

Multi-tenant deployment with Cloud Run,
and integration with business tools (Google Sheets, APIs, CRM).

IDENTIFIED TECHNICAL CHALLENGES AND THEIR SOLUTIONS
🔐 API Security In progress
Secure access control using Google Cloud IAM and permission management.
📊 Observability In progress
Performance and cost monitoring with Google Cloud Monitoring.
🧠 AI Context In progress
Improving prompts and leveraging Vertex AI for more accurate responses.
💰 Cost Optimization Controlled
Optimizing BigQuery and Cloud Run to control cloud costs.
💡 FINAL LINE
A production-ready platform on Google Cloud — built to scale with credits.
TECHNICAL FOUNDATIONS KPILOT CLOUD

An architecture designed to deliver reliable, secure, and actionable answers from your data.

Governed Text-to-SQL

Query generation restricted to authorized, structured data.
Every question is controlled to ensure reliable and consistent results.

  • Vertex AI
  • Gemini
Active Data Contract

Data is governed by clear business rules.
Only validated information is used to generate results.

  • Controlled Data
  • Business rules enforced
Data Governance

Data is organized, documented, and structured to be clearly understood and directly usable by AI within OpenMetadata.

  • Data structuring
  • Business understanding
Optimized Data Model

Data organization designed for analytics — fast, clear, and scalable. Full atomic model built with dbt.

  • BigQuery
  • Optimized architecture
Security & Traceability

Every action is secured and tracked.
Access is controlled and queries are monitored to ensure reliability.

  • Access security
  • Google Cloud IAM
Reliable Metrics

Metrics are defined and standardized to ensure consistent performance analysis.

  • Validated KPIs
  • Business definitions
PROJECT PROGRESS KPILOT CLOUD

An actively evolving product

KPIlot Cloud is currently under development. Here is the real-time progress of the core technical components.

Infrastructure & Data Platform
Google Cloud infrastructure
Cloud Run · Artifact Registry · IAM 100%
Data Platform
BigQuery · dbt · Star schema 100%
Modèles de données
20 models · 12 tests · documentation 100%
Data Governance
Governance · Lineage · RBAC 100%
AI & Product
Data Contract
Live in production since Feb 24 100%
AI Engine (Text-to-SQL)
Live · Remaining: rate limiting · auth 90%
Conversational AI
Unlocked with GCP credits 10%
Machine Learning
LTV · Churn · Regional scoring 10%
Overall project progress
70%
EARLY ACCESS

Turn your data into decisions in seconds

Query your data in natural language, generate secure queries, and get reliable answers in real time.

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