MXTechies helps enterprise teams set up Siemens RapidMiner, build governed data science and agentic AI workflows, move SAS code to Altair SLC, and put models to work inside Mendix apps. Delivery teams in the United States, UAE and India.
01
A RapidMiner consulting partner plans, installs and configures the platform, connects your data sources, builds the first machine learning or agentic AI use cases with your team, and sets up governance so models can run in production. MXTechies adds two things most partners don't: SAS code reuse through Altair SLC, and delivery of model results into Mendix business apps that people use every day.
02
Our RapidMiner consulting covers the full path from licence to live model. Pick one service or run them as one programme.
Machine learning, GenAI and agentic AI use cases built with your team, from data prep to deployed model.
Installation and configuration on Altair AI Cloud, your cloud or on-premises, with SSO, roles and environments.
Enterprise data modelled in Graph Studio so models and agents work from governed context.
SAS programs run on Altair SLC, then moved into RapidMiner workflows at your pace.
Monitoring, retraining, version control and managed support through MLOps services.
Model scores and agent actions surfaced inside Mendix apps, so results reach the people who act on them.
03
Every RapidMiner implementation follows six steps, each with a clear output.
Business question, success metric, data sources, licence sizing.
Link databases, data lakes, files and business systems; profile data quality.
Prepare data and train, test and explain models, side by side with your analysts.
Check accuracy, bias and explainability with business owners before go-live.
Publish models as APIs or scheduled jobs and connect them to Mendix or other apps.
Monitor drift, retrain on new data and add the next use case.
04
RapidMiner lets analysts build workflows on a visual canvas while data scientists work in Python or R in the same governed platform. We build workflows for the problems enterprises bring us most.
Failure risk scored from sensor and maintenance history.
Forecasts by product, site and week.
Defects and unusual transactions flagged early.
Explainable scores a business owner can defend.
Facts pulled from PDFs, reports and forms into usable data.
Each model ships with an explanation of the factors behind its predictions. A score nobody can explain is a score nobody acts on.
05
Agentic AI means software agents that plan steps, use tools and data, and take actions toward a goal, with people approving key decisions. RapidMiner's agent tools combine large language models, machine learning models and governed enterprise data, and agents can query Graph Studio through the Model Context Protocol (MCP).
Agents that triage service requests, prepare analyst research packs, or recommend the next step on an exception queue, then hand the action to a Mendix app for a person to confirm.
06
Altair SLC runs programs written in the SAS language alongside Python, R and SQL, so you can stop paying for SAS licences without rewriting every program on day one. Our SAS to Altair SLC migration runs in three stages.
Catalogue programs, macros and data, and flag procedures that need attention.
Run code on SLC and compare outputs with SAS, line for line.
Move high-value logic into RapidMiner workflows and models over time.
Most SAS code runs unchanged; we test every program because edge cases exist, and we never switch off SAS until outputs match.
07
The goal is a team that runs RapidMiner without us. Enablement is built into every project.
For analysts (visual workflows), data scientists (Python, R, model deployment) and administrators.
On your own use cases, not sample data.
For data prep, model review and deployment, written for your environment.
Optional, once the first use cases are live.
08
We build the model in RapidMiner and the Mendix app that puts it to work, so pilots don't stall at a dashboard.
Mendix Certified Partner and Siemens Xcelerator partner, working across Mendix, RapidMiner, Graph Studio and Intelligence Center X.
Migration, reconciliation and modernisation under one plan.
Delivery teams in the United States, UAE and India. See our Altair AI pages for the US, UAE and Saudi Arabia.
RapidMiner is a data science, machine learning and agentic AI platform. Altair acquired RapidMiner in 2022, and Siemens acquired Altair in March 2025, so RapidMiner is now part of Siemens' AI portfolio alongside Mendix.
A first use case typically reaches pilot in 2–4 weeks and production in 8–16 weeks. The biggest factor is data readiness: clean, connected data shortens every step.
Yes. Altair SLC runs SAS-language programs, so most code runs without a rewrite. We test and reconcile every program against SAS outputs before switching over.
Yes. Training is part of every project, with tracks for analysts, data scientists and administrators, built on your own use cases.
Yes. Models are published as APIs that Mendix apps call to show scores, recommendations or agent actions to users, with approvals and an audit trail where needed.
Tell us your use case and data sources. We'll reply with a scoped plan, timeline and team.