What does Umbizo do?

We transform complex data into actionable insights. Our services include advanced statistical analysis, machine learning and AI automation, workflow optimisation, and custom platform development. We work across healthcare, life sciences, legal, and financial sectors to help organisations make data-driven decisions with confidence.

What makes Umbizo different?

Our team includes PhD-level data scientists, statisticians, and developers with deep expertise in AI, machine learning, and automation. We combine technical excellence with regulatory compliance knowledge, handling projects from quick analyses to full platform builds. We also develop spin-out products that address common pain points in AI readiness.

Which sectors does Umbizo work in?

We serve clients across healthcare, life sciences, legal, and financial services. Our experience spans clinical trial support, genomic research, precision oncology, diagnostics, synthetic data generation, and sector-agnostic analytics.

Can Umbizo work with existing systems?

Absolutely. We specialise in integrating with existing infrastructure, whether that's Databricks, cloud platforms, or on-premise systems. We optimise current workflows without disrupting your operations.

Do you work internationally?

Yes. We regularly serve clients throughout the UK, USA, Europe, MENA, and Africa, with extensive experience navigating multiple regulatory frameworks across regions.

How do you ensure data security and compliance?

We adhere to the highest standards of data protection including GDPR and HIPAA. Our protocols include: secure, scalable data storage with independent audits, industry-leading security measures safeguarding data privacy and integrity, regulatory-compliant handling of sensitive medical and commercial information, encrypted data transfers through secure channels, and strict confidentiality agreements.

What technologies and languages do you use?

Our team is proficient in Python, R, and all major statistical languages. We work with cloud platforms (AWS, Azure, Databricks), implement CI/CD pipelines with SLURM and Apache Airflow, and choose the most appropriate tools for each project's requirements.

Do you offer ongoing support?

Yes. We offer continuous support throughout project lifecycles including regular updates, consultation sessions, and post-delivery assistance. For larger implementations, we provide maintenance contracts and knowledge transfer to enable your team's independence.

How do projects typically start?

We begin with an assessment phase to understand your data environment, technical requirements, and business objectives. We then develop detailed specifications and provide transparent timelines and pricing before commencing work.

Who owns the intellectual property?

All code, software, and deliverables developed during projects belong to you. We provide comprehensive documentation and transfer all rights upon project completion.

What are your payment terms?

We offer flexible payment structures including milestone-based payments and retainer arrangements. Terms are tailored to project scope and duration, and discussed during initial planning.

Can you provide references or case studies?

Yes. We can share relevant case studies and client testimonials from similar projects, subject to confidentiality agreements. Examples of our work include spatial proteomics pipelines, synthetic healthcare data generation, Lyme disease diagnostics, and RNA sequencing platforms.

How do you ensure quality?

We implement rigorous quality control including: peer review by PhD-level team members, automated testing and validation frameworks, alignment with industry standards and best practices, comprehensive documentation, and statistical validation against real-world benchmarks.

What if we need changes after delivery?

We provide post-delivery support and can accommodate refinements. For ongoing requirements, we offer maintenance contracts and can rapidly expand disease models, algorithms, or features, as your needs evolve.