Notilyze assistant

ANALYTICS FOR EVERYONE
Notilyze Assistant 
As simple as asking a question

Notilyze Assistant transforms complex statistical workflows into a conversational experience for everyone who is working in the Continuous Improvement area. From business process owners, quality professionals, Lean Six Sigma professionals and Continuous Improvement specialists.

//A NEW WAY TO DO ANALYTICS

//  Make advanced analytics accessible, fast, and repeatable, without the complexity of traditional tooling

Notilyze Assistant combines the conversational capabilities of modern AI with the reliability of enterprise-grade statistical analysis, allowing users to ask questions in natural language while trusted analytics execute behind the scenes.

Users no longer need to invest time on statistics and can focus on being the subject matter expert on their business. They simply describe the business question, upload the data file and Notilyze Assistant orchestrates the appropriate analytical workflow behind the scenes.

Introducing Notilyze Systems
How To SAS copy

Ask in
natural language

Ask business or engineering questions in plain language.

Continuous improvement

Made for Continuous Improvement

Lean Six Sigma, SPC, and quality engineering expertise built in. 

How To SAS

Trusted results you can
act on

SAS performs the analytics. The AI explains the results and recommends next steps. 

Notilyze assistant how does it work

//THE DEMO

// See Notilyze Assistant in action

We are a trusted partner of 27
//THE PROBLEM

// Powerful analytics shouldn't require statistical software

Clinica approval

Today's analytics platforms expect users to know

✔ Which statistical method to use

✔ Where to find it in the software

✔ Which assumptions apply

✔ How to configure the analysis

✔ How to interpret the output

That creates a steep learning curve on the tool that should be there to support you not to make your life harder. 

Single AI


Traditional statistical packages are powerful, but they require the user to know which statistical method to use, where to find it in the menus, which assumptions apply, how to configure all parameters and how to interpret results. In other words, the user drives the software. 

With Notilyze Assistant, we don't replace statistical engines. We replace the traditional software driven workflow where users must know which analysis to choose, where to find it, and how to interpret it.

We move analytics from a tool-driven experience to a goal-driven conversation. We reduce the expertise barrier. The assistant translates the business problem into the right analytical workflow.

TRADITIONAL WORKFLOW (YOU DRIVE THE SOFTWARE) 

  1. Business problem
  2. User identifies statistical method
  3. User finds function
    in software
  4. Check assumptions yourself
  5. User configures
     analysis
  6. User interprets output
  7. Decision

NOTILYZE
WORKFLOW (AUTOMATED)

  1. Business problem
  2. Ask in natural language
  3. AI determines analytical workflow
  4. Assumptions integrated in workflow
  5. Trusted statistical engine executes analysis
  6. AI explains results
  7. Decision

//A BETTER WAY

// Ask the question. Let the assistant handle the analytics

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Instead of saying:
/ Use ANOVA test to compare the process capability over the last month.
Ask naturally:
/ Why did my process capability decrease last week? 

Notilyze Assistant then:

  1. Understands your objective
  2. Selects the appropriate statistical workflow
  3. Executes validated analytics
  4. Checks assumptions
  5. Explains the results
  6. Recommends next step

//WHY NOTILYZE ASSISTANT?

// Bringing together three worlds

An AI orchestration layer that connects enterprise analytics, company data, and large language models into a single engineering assistant. 

Notilyze assistant 1
// The role of the MCP

The Model Contect Protocol (MCP) is the communication layer between the AI assistant and SAS Viya. 

  • The AI understands the user's question.
  • The MCP securely translates that request into the appropriate SAS API calls.
  • SAS performs the statistical analysis using validated analytical methods.
  • The results are then returned to the assistant, which explains them in natural language.
  • The AI performs the reasoning.
  • SAS performs the analytics.
  • The MCP connects both. 
// Why this matters

Unlike a generic AI chatbot, Notilyze Assistant doesn't generate statistical answers itself. It orchestrates trusted enterprise analytics.

Users never have to:

  • Write SAS code
  • Navigate complex menus
  • Configure statistical procedures
  • Remember which test to run.

Instead, they simply describe the engineering problem they want to solve. Notilyze Assistant is not based on an hallucinating AI/LLM bot, but is grounded in decades of trustworthy SAS code

// Ready to transform your analytics?

See how Notilyze Assistant combines trusted enterprise analytics with modern AI to make statistical analysis accessible through natural conversation. 

Paul koot

Paul Koot is the Lead Analytics at Notilyze and technical head of Notilyze Assistant, coordinating and guiding the project among software development and analytics teams. Paul counts with a deep expertise in Large Language Models as well as Project Management and resources planning.

// Contact

Notilyze B.V.
Stationsplein 45 A4.004
3013 AK Rotterdam
+31 (0)10 79 86 295
info@notilyze.com

// Ask a question