Skip to content
Aixo LabAixo Lab

Life Sciences Software Development

Aixo Lab builds life sciences software for biotech, pharmaceutical, medical-device and research organisations in Korea — laboratory data management, quality and compliance workflows, and research data platforms with audit-ready electronic records.

Start a ProjectSee how we work
  • Lab Data Management
  • Quality and Compliance
  • Audit Trails
  • Instrument Integration
  • Research Platforms
Estimated timeline
Typically 12–18 weeks for a first production module
Platforms
Web · Mobile · Cloud
Tech stack
Next.js · Python · PostgreSQL · Docker
Illustration of a laboratory flask and a DNA double helix on an isometric platform, beside dashboard cards that represent life sciences data management software
Overview

Life Sciences Overview

Aixo Lab builds life sciences software for biotech, pharmaceutical, medical-device and research organisations in Korea — laboratory data management, quality and compliance workflows, and research data platforms with audit-ready electronic records.

  • Data You Can Defend

    Every result, change and approval is attributable, time-stamped and retained, which is what inspectors and partners ask to see.

  • Quality Built Into the Workflow

    Procedures, deviations and corrective actions run inside the system people use daily, not in a separate document trail.

  • Connected to Your Lab

    Instruments, LIMS and enterprise systems feed one consistent record instead of manual transcription.

What's Included

Everything under one roof

Everything included in this engagement, from architecture to long-term support — one team, one system.

Laboratory Data Management

Experimental and analytical data captured, structured and searchable in one controlled system.

Electronic Lab Notebook

Structured experiment records with templates, review and signature workflows.

Sample and Inventory Tracking

Barcoded samples, reagents and storage locations with full chain of custody.

Instrument Integration

Direct capture of results from lab instruments to remove transcription errors.

Quality Management

Quality events, audits and approvals managed with traceable workflows.

Document Control and SOPs

Versioned procedures with controlled distribution, training records and periodic review.

CAPA and Deviation Management

Deviations, investigations and corrective and preventive actions tracked to closure.

Clinical and Study Data Capture

Structured data collection for studies, with validation rules and role-based review.

Research Collaboration Portal

Secure sharing of data, documents and results with partners, sites and contract organisations.

Regulatory Submission Support

Records and documents organised so submission packages can be assembled from controlled sources.

Analytics and Visualisation

Dashboards and analysis tools that turn experimental and operational data into decisions.

Mobile Site and Field Apps

Tablet and mobile tools for sample collection, checklists and site activities.
Why Aixo Lab

Why Life Sciences Organisations Choose Aixo Lab

  1. We Build for Data Integrity

    Attributable, legible, contemporaneous, original and accurate records are design requirements, with audit trails and electronic signatures built into the data model.

  2. We Design for Validation

    Requirements, specifications and test evidence are documented as we build, so computerised-system validation does not begin from scratch at the end.

  3. We Integrate Instruments and Systems

    Instruments, LIMS, ERP and quality systems stay in place; we connect them so data is captured once and trusted everywhere.

  4. We Protect Sensitive Research and Patient Data

    Access control, encryption and pseudonymisation are designed around personal-data protection and research-ethics requirements.

Typical Solutions

The life sciences systems we typically build

Concrete system types, each designed around how laboratories and quality teams actually work.

Laboratory Data Platform

Experimental and analytical data captured and structured in one place.

Electronic Lab Notebook

Templated, signed and reviewable experiment records.

Quality Management System

Documents, deviations, CAPA and audits in controlled workflows.

Sample and Biobank Tracking

End-to-end custody and location for samples and reagents.

Clinical Data Capture Portal

Validated data entry and review for studies and sites.

Research Analytics Dashboard

Trends and quality metrics for scientists and management.
Life Sciences Capabilities

The platform capabilities life sciences work relies on

Capabilities built in from the start, so records stay trustworthy from first experiment to submission.

Audit Trails

Immutable, time-stamped records of who created, changed or approved every entry.

Electronic Signatures

Signature workflows with meaning, authentication and linkage to the signed record.

Role-based Access

Granular permissions that separate authors, reviewers, approvers and administrators.

Versioned Records

Every revision retained with its reason, so any state of a record can be reconstructed.

Instrument and LIMS Integration

Connectivity to instruments, laboratory systems and enterprise software through standard interfaces.

Barcode and Sample Tracking

Labels, scanning and location tracking for samples, reagents and equipment.

Configurable Workflow Engine

Review, approval and escalation paths configured to your quality procedures.

Data Pseudonymisation

Identifiers separated or masked so research data can be used with reduced exposure.

Validation Documentation Support

Structured requirements and test records that support computerised-system validation.

Analytics

Trend, yield and quality metrics from controlled data sources.
Technology Stack

Built on a modern, production-grade stack

Every technology here is a deliberate choice, not a default.

Next.js

React framework for fast, secure scientific portals and dashboards.

React

Component-based UI for notebooks, workflows and review screens.

Python

Data processing, analysis and instrument-data pipelines.

Node.js

Real-time services for integrations and notifications.

PostgreSQL

Relational database for controlled records and audit history.

Redis

Caching and queues that keep workflows responsive.

Docker

Containerised services for reproducible, validated deployments.

Kubernetes

Orchestration for scalable, resilient processing workloads.

AWS

Cloud infrastructure for secure storage, compute and backup.

FastAPI

High-performance Python APIs for data and instrument services.
Process

How we work

The same disciplined process behind every engagement, from the first architecture decision to launch.

  1. 01
    Discovery

    Understand the business problem and its real constraints.

    Output:
    Scope and goals document
    Your involvement:
    Initial workshop
  2. 02
    Product definition

    Translate the problem into concrete product requirements.

    Output:
    Feature spec and priorities
    Your involvement:
    Requirements review
  3. 03
    UX/UI design

    Design user flows and interface before development starts.

    Output:
    Wireframes and design system
    Your involvement:
    Design feedback
  4. 04
    Technical architecture

    Define system structure, data flow, and technology stack.

    Output:
    Architecture document
    Your involvement:
    Technical review (optional)
  5. 05
    Iterative development

    Build in short cycles with visible, regular progress.

    Output:
    Regularly shipped working versions
    Your involvement:
    Sprint review participation
  6. 06
    Quality assurance

    Test functionality, performance, and security before release.

    Output:
    Test results and fixes
    Your involvement:
    Acceptance sign-off
  7. 07
    Launch

    Deploy to production with a rollback plan in place.

    Output:
    Product deployed to production
    Your involvement:
    Launch approval
  8. 08
    Continuous improvement

    Monitor, maintain, and evolve the product after launch.

    Output:
    Maintenance and improvement roadmap
    Your involvement:
    Regular check-in meetings
FAQ

Frequently asked questions

Representative Solutions

What this looks like once built

Reference architectures from our Representative Solutions collection that plausibly apply here.

AI Operations Platform
Representative Solution

AI Operations Platform

Operations & AI
Discuss a similar project

Ready to start your project?

Tell us what you're building — we'll tell you honestly whether we're the right fit.

No sales pressure. Just a direct technical conversation.

Start a ProjectBook a Discovery Call