From open-source technologies to production-grade AI, MSTech delivers data science solutions and services that accelerate digital transformation and drive business impact for regulated industries.
For more than ten years, MSTech has helped enterprises and research organizations turn open-source AI and data science into actionable insights that hold up to audit and peer review. Our multidisciplinary team of data scientists, software engineers, and AI researchers work end to end, from exploratory analysis to scalable, reproducible production infrastructure engineered for the compliance standards regulated industries demand.
Statistical programming, software engineering, and machine learning expertise live on one team. From first question to running system, we frame the problem, engineer the data, train and validate the model, ship it to production, and keep it performing at scale.
A proven open-source stack at every layer: R and Python for analysis and modeling, Shiny and Quarto for apps and reporting, Docker and Kubernetes for scalable, reproducible deployment.
Statistical, engineering, and operational expertise on one team: every question answered in the same conversation, with no translation layers and no waits for outside specialists.
As an official Posit Partner, we provide the full range of Posit services: software reselling and license advisory, installation and configuration of Posit Team (Workbench, Connect, and Package Manager), and technical support through the life of your deployment. Our technical team works alongside your people to deliver production-ready solutions that meet your compliance and data residency requirements.
Right-size your Posit investment from day one. We advise, resell, and renew the exact mix of Workbench, Connect, and Package Manager licenses for your workflows.
Installation and configuration of Posit software on Linux servers or Kubernetes clusters, in the cloud or on-premises, with high availability and validation built in.
Extend Posit into your data science and AI pipeline with SSO and LDAP for identity, and custom modules and workflows when teams need more than the defaults.
Ongoing professional support around the Posit platform. We resolve issues for admins and end users, deliver training, and escalate to Posit directly when needed.
Right-size your Posit investment from day one. We advise, resell, and renew the exact mix of Workbench, Connect, and Package Manager licenses for your workflows.
Installation and configuration of Posit software on Linux servers or Kubernetes clusters, in the cloud or on-premises, with high availability and validation built in.
Extend Posit into your data science and AI pipeline with SSO and LDAP for identity, and custom modules and workflows when teams need more than the defaults.
Ongoing professional support around the Posit platform. We resolve issues for admins and end users, deliver training, and escalate to Posit directly when needed.
From regulated clinical analytics to quant and risk tooling, reproducible research, and hands-on upskilling, every team we partner with has its own non-negotiables. Each R and Python platform is shaped around the compliance frameworks, collaboration workflows, and learning experiences the domain demands.
Submissions that hold up to FDA, EMA, and NMPA review, built on a governed open-source R and Python stack aligned with 21 CFR Part 11, GxP, and CDISC standards. Validated environments power clinical trial analysis, AI-powered applications, and submission-ready reporting, with locked package versions, end-to-end audit trails, and the traceability that global regulators demand.
MSTech brings extensive experience architecting, developing, and operating AI and data science platforms across public cloud, private cloud, on-premises, and hybrid cloud environments. From global hyperscalers to China-domestic clouds and air-gapped on-premises infrastructure, we partner with organizations to accelerate digital innovation and AI transformation, delivering production-ready solutions tailored to your compliance requirements and data residency needs.
The world's most widely adopted public cloud, with deep AI and ML services including Amazon SageMaker and Bedrock. The scale, reliability, and ecosystem depth to run demanding data science and AI workloads anywhere in the world.
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A top-tier APAC cloud and leading AI infrastructure provider, with a full stack from proprietary silicon and HPC to the Qwen model family and the PAI / Model Studio ML platform. A strong fit for AI workloads and China-domestic compliance.
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A major cloud platform combining general-purpose compute, GPU, and AI services with industry-leading capabilities in real-time communication, video, and live streaming, built on the infrastructure that powers WeChat and QQ.
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A leading HCI, private cloud, and cybersecurity vendor recognized by Gartner and IDC, delivering a secure, high-performance on-premises or hybrid foundation for data science and AI workloads where data sovereignty and cost control matter most.
Learn moreThe world's most widely adopted public cloud, with deep AI and ML services including Amazon SageMaker and Bedrock. The scale, reliability, and ecosystem depth to run demanding data science and AI workloads anywhere in the world.
Learn moreA top-tier APAC cloud and leading AI infrastructure provider, with a full stack from proprietary silicon and HPC to the Qwen model family and the PAI / Model Studio ML platform. A strong fit for AI workloads and China-domestic compliance.
Learn moreA major cloud platform combining general-purpose compute, GPU, and AI services with industry-leading capabilities in real-time communication, video, and live streaming, built on the infrastructure that powers WeChat and QQ.
Learn moreA leading HCI, private cloud, and cybersecurity vendor recognized by Gartner and IDC, delivering a secure, high-performance on-premises or hybrid foundation for data science and AI workloads where data sovereignty and cost control matter most.
Learn moreEach engagement below went live and continues to run, from shared data science platforms to reproducible analytical pipelines and AI-powered applications. Shipped, adopted, sustained.
Partnered with Qilu Pharmaceutical to lead procurement and end-to-end deployment of the full Posit Team suite (Workbench, Connect, and Package Manager) on a private Kubernetes cluster. The engagement also delivered software qualification and validation for pharmaceutical regulatory compliance, along with custom R package development and a GitLab CI/CD pipeline for internal statistical programming and data science workflows.
Partnered with Yidu HLT Team to build an open-source data science platform, deploying RStudio and Shiny servers that give statistical programmers and data scientists a shared environment for building and publishing interactive analytical applications. On top of that platform, we also prototyped an LLM-based natural-language interface over CDISC-structured clinical trial datasets, making complex data standards accessible to cross-functional teams.
Partnered with Tsinghua University's Department of Statistics and Data Science to build and deploy BIOS (Biomedical Informatics Ontology System), an AI-powered biomedical knowledge graph built on open-source deep learning frameworks. By unifying heterogeneous biomedical data sources, BIOS shortens the path from literature to hypothesis and opens new avenues for cross-disciplinary discovery.
Partnered with Qilu Pharmaceutical to lead procurement and end-to-end deployment of the full Posit Team suite (Workbench, Connect, and Package Manager) on a private Kubernetes cluster. The engagement also delivered software qualification and validation for pharmaceutical regulatory compliance, along with custom R package development and a GitLab CI/CD pipeline for internal statistical programming and data science workflows.
Partnered with Yidu HLT Team to build an open-source data science platform, deploying RStudio and Shiny servers that give statistical programmers and data scientists a shared environment for building and publishing interactive analytical applications. On top of that platform, we also prototyped an LLM-based natural-language interface over CDISC-structured clinical trial datasets, making complex data standards accessible to cross-functional teams.
Partnered with Tsinghua University's Department of Statistics and Data Science to build and deploy BIOS (Biomedical Informatics Ontology System), an AI-powered biomedical knowledge graph built on open-source deep learning frameworks. By unifying heterogeneous biomedical data sources, BIOS shortens the path from literature to hypothesis and opens new avenues for cross-disciplinary discovery.
Every team's starting point is different. Tell us what you're working on, whether that's a data science platform, scaling open-source infrastructure, or an AI-powered workflow, and we'll respond with a concrete action plan tailored to your team.
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