← Why Clixer?

AI BORN

AI Born: Clixer's AI muscle

AI wasn't bolted onto Clixer, the platform was born with it. It integrates with every major AI model, understands your question in plain language, produces the forecast, and will even build the cockpit from scratch if you ask.

Every AI ModelAnalysis by ConversationDesign by Command
FULL INTEGRATION

Integrated with every AI platform

From OpenAI to Claude, Gemini to open-source models: Clixer is fully integrated with every major AI platform and NLP model. You choose the model, in the cloud or on your own servers.

AI ENGINE

Forecasting and analysis without designing reports

Thanks to the built-in AI Engine you don't design a report first: ask in natural language; the engine produces the forecast, explains the variance and suggests the chart, all inside the conversation.

DESIGN BY COMMAND

Dataset and cockpit from scratch, one command

Our design tool is powerful; but you can skip it entirely. Say 'build me a region-based cockpit from my sales data': AI prepares the dataset, places the widgets and presents the cockpit for your approval.

Clixer AI, Cockpit by Command ● online
Build a region-based cockpit from the last 12 months of sales, and forecast next quarter.
Done. 4 tables joined, dataset created ✓ 6 widgets placed ✓ Q4 forecast added with confidence bands ✓
Cockpit preview is ready, publish it with one click.
cockpit ready to publish…

Plenty of tools call themselves 'AI-powered'; in most, that means a chat box stapled to the side. In Clixer, AI is the architecture itself: your data model, metric dictionary and permission layer are the AI's native language. That's why its answer is a verifiable analysis, not a well-worded guess.

You're not locked into a model either. OpenAI today, Claude tomorrow, an open-source model on your own servers next week, Clixer's AI layer is model-agnostic; swap the engine to match your privacy and cost preferences, the experience stays the same.

And the strongest part: the AI doesn't just answer, it produces. It forecasts, builds scenarios, assembles datasets and designs cockpits from scratch. Your team stops asking 'who will build the report' and starts asking 'which decision are we making'.

Highlights

  • Full integration with every major AI platform and NLP model, model-agnostic architecture
  • Cloud or on-prem: pick the model that fits your privacy and cost preferences
  • Forecasting and analysis without report design, via the built-in AI Engine
  • Transparent query trace: the SQL and source behind every answer is auditable
  • Dataset and cockpit built from scratch with a single command
  • Role-based permissions apply to AI answers too, everyone sees only what they may

This page is a starting text; we will refine it together around your AI use cases.

AI assistant FAQs

You ask questions in natural language ('What's the LFL change vs last month?', 'Why did we drop yesterday?'); the assistant builds the query, draws the chart and comments. Anomaly detection, root-cause analysis, sales forecasting and what-if simulation are also part of the AI layer.

No. Clixer AI is not a general chatbot; it is bound to your data schema. The SQL behind every answer is transparent and passes a deterministic validator. When unsure, it asks a question instead of inventing an answer.

Every AI answer has a 'show SQL' option. You can see which table, which filter and which calculation produced the result. There is no black box; transparency is a design principle.

No. Your data is processed only to serve you; it is never used to train any model.

Eight rule types catch deviations per branch and metric: below-budget, day-over-day drops, negative divergence from peer stores and more. It sends proactive notifications with root-cause analysis, it tells you before you ask.

Yes. Through the corporate knowledge base (RAG) you can teach company-specific definitions: rules like 'Performance = visitor count' or 'mall stores are closed on Sundays' are reflected in AI answers.

Stress-test the AI muscle on your own data

Watch a cockpit get built from a single command in a 30-minute live demo.

Request a Demo