Scientific Web Applications
Research portals, LIMS integrations, and internal scientific tools engineered around your team's workflows and data.
TYPICAL CLIENT
A lab or platform team that has outgrown spreadsheets and off-the-shelf LIMS
Usually a Lab Operations Lead or Product Manager who needs an internal tool shaped around an actual scientific workflow — sample tracking, cohort management, a results portal — that a generic SaaS tool wasn’t built to handle.
Scientific Web Applications, broken into four services
Each can be scoped on its own, or combined into a single end-to-end engagement.
Product Engineering
Full-stack product builds, from data model to a deployed application.
View ITDInternal Tools & Dashboards
Internal dashboards connected live to your pipelines and warehouses.
View APIAPI & Integration Development
Clean, monitored integration layers across instruments, LIMS and ELNs.
View ARAAudit-Ready Architecture
Access control and audit logging built in from the first commit.
ViewSix concrete deliverables, not a slide deck.
This is exactly what transfers to you at the end of this Scientific Web Applications engagement.
Data model & schema documentation
A documented data model matching your actual sample, assay and study structure.
Production application, deployed
A fully deployed application on infrastructure you control, not a demo environment.
API documentation
Documented endpoints for every integration point, so your team can extend the system later.
Admin & user role configuration
Role-based access configured to match how your lab is actually organized.
CI/CD pipeline
Automated testing and deployment pipeline, so future changes ship safely.
Source code & infrastructure-as-code
Full repository access plus Terraform/CloudFormation configs, transferred outright.
What this service includes
Custom LIMS & ELN systems
Sample tracking and lab notebook systems shaped around your actual bench workflow, not a generic template.
Research data portals
Internal dashboards that connect directly to your pipelines and warehouses, so data is never stale.
API design & integration
Clean integration layers across lab instruments, ELNs and existing databases.
Infrastructure & CI/CD
Cloud infrastructure, automated deployment and long-term maintenance handled end-to-end.
What this looks like in a real engagement
Three concrete examples of the kind of work this service covers.
Sample and cohort tracking LIMS
A purpose-built system for logging samples, tracking chain of custody and linking results back to the right patient or specimen.
Research portal for external collaborators
A secure, permissioned web app where partner labs or clinical sites can upload data and view results without email attachments.
Internal dashboard over existing pipeline output
A web front-end that turns pipeline output already sitting in a database into something a non-technical team member can browse.
Software that fits how your lab actually works.
Off-the-shelf LIMS platforms force your workflow to bend around their assumptions. We build the reverse: software shaped around your existing bench process, your naming conventions, your edge cases.
Every application connects directly into your pipelines and data warehouse, so researchers see the current state of their data — not a nightly export.
How an engagement runs
Four stages, from initial scope to delivery.
Map the workflow
We shadow your current process — spreadsheets, notebooks and all — before designing anything.
Design the data model
A data model is proposed that matches your actual sample, assay and study structure.
Build & connect
The application is built and wired directly into your pipelines, instruments and existing systems.
Deploy & support
Cloud infrastructure, CI/CD and ongoing support keep the system reliable long after launch.
What we build it with
It’s the first system our lab has adopted without a single week of resistance.
Before you reach out
No. You receive full source code and infrastructure-as-code, so any competent engineering team, including your own, can take over.
In most cases yes, through API or database-level integration; we scope this during the discovery phase before committing to a timeline.
We can, through an ongoing retainer, or hand off fully to your infrastructure team; both are common.
Explore related work
Still tracking samples in a spreadsheet?
Tell us about your current workflow — we’ll show you what a purpose-built system looks like.