Case Studies
Real roles, real teams, real outcomes
How Silicon Development has supported product teams in healthcare, biopharma, legaltech, and data-heavy environments with embedded nearshore engineering.
Featured engagements
Select an engagement to see the full story — the challenge, the team, and the outcome.
Challenge
A biopharma company that uses high-performance cloud computing and AI to analyze RNA sequencing data. Their platform discovers drug targets, biomarkers, and neoantigens for cancer and neurodegenerative disease research. They had a working MVP but needed engineering capacity to transform it into a full-featured production platform. The work required engineers who could understand complex scientific domain concepts, collaborate directly with research scientists, and build data-heavy features for a specialized user base.
Silicon Development's role
Silicon Development provided the primary engineering team, working directly with the Chief Product Officer to build and scale the platform. The team operated as an embedded engineering partner, not a separate delivery unit.
Key work delivered
- Transformed the platform from a minimum viable product to a full-featured AI drug discovery system
- Learned key drug discovery concepts to collaborate effectively with the client’s scientists and engineers
- Built a collection of data visualizations to surface research insights for decision-making
- Migrated the SaaS application from Virtual Machines to a native cloud application service on Microsoft Azure with DevOps deployment automation
Outcome
The platform went from an early-stage MVP to a production AI drug discovery system. The engineering team integrated deeply enough with the scientific team to build features that required real domain understanding, not just execution against a generic spec.
Team: 4 engineers: Lead Developer, Senior Developer, Project Manager, Quality Assurance
Types of work we deliver
Capabilities demonstrated across client engagements.
Full-stack SaaS platform build
Consumer Tech / Data Platform
Silicon Development was the primary engineering team for a consumer data company, building the full SaaS platform, data ingestion pipeline, and supporting ML models. The team built web and mobile applications from start to finish, working directly alongside the client’s product team.
Rules engine migration
HealthTech / Performance
Migrated a critical rules engine from a monolithic Ruby application to a standalone Java Drools service for a healthcare SaaS platform. Achieved a 19x performance improvement, reducing processing time from 10 hours to under 90 minutes.
AI-powered document redaction
LegalTech / FinTech
Built a file upload processing system that uses AI to automatically redact sensitive information for an enterprise litigation platform. Part of a broader embedded engineering engagement that increased team velocity by over 50%.
Cloud migration and DevOps
BioPharma / Cloud
Migrated a SaaS application from Virtual Machines to a native cloud application service on Microsoft Azure with automated DevOps deployment. Part of a multi-year engineering partnership supporting a scientific computing platform.
Research data visualization
BioPharma / Data
Built a collection of data visualizations for a drug discovery platform to surface research insights for scientific decision-making. Required engineers who could learn domain-specific concepts and collaborate with research scientists.
Acquisition-ready engineering
HealthTech / M&A
Played an integral role in the engineering work that helped a healthcare SaaS platform get acquired by a larger health tech firm. Embedded engineers contributed to feature delivery, code quality, and performance optimization throughout the acquisition process.
What the pattern tells you
Across these engagements, the same operating model shows up. If your team works this way, Silicon Development is probably a fit.
Engineers integrate into the client's team and workflow. Across every engagement, Silicon Development engineers worked inside the client's tools, processes, and communication rhythms, not as a separate delivery unit.
The work is technically deep, not generic. Rules engine migrations, cloud platform architecture, AI-powered document processing, scientific data visualization. These are roles where domain understanding and engineering judgment matter.
Complex environments are the norm, not the exception. Healthcare data platforms, litigation systems handling sensitive information, drug discovery tools processing clinical data. Silicon Development's strongest engagements involve product environments where quality, security, and domain fit are non-negotiable.
Measurable impact shows up. 19x performance improvements. 50%+ velocity increases. MVP-to-production platform builds. Successful acquisition support. These outcomes came from engineers who were embedded deeply enough to make real contributions, not from consultants passing through.
Engagements tend to expand and continue. Clients that start with Silicon Development tend to extend the engagement or add additional roles. This is a signal that the model works. Teams that get value keep using it.
See whether Silicon Development fits your team
Share the role, the environment, and what you need. If the model fits, we will show you how, with the same transparency you see on this page.