Custom software engineering for pharmaceutical and enterprise organisations.
Beyond our compliance platform products, Codesplice delivers bespoke software development, turnkey system builds, and enterprise application integrations — grounded in pharmaceutical IT experience and modern engineering practice.
Whether you need a custom regulatory workflow, a connected enterprise application estate, or an AI-ready data layer across your organisation, our engineering team delivers to specification — on time, validated, and production-grade.
Turnkey software solutions built to your specification.
When a product does not exist that precisely fits your regulatory, operational, or commercial requirements, Codesplice builds it. We take full ownership of the engagement — from requirements capture through to validated deployment and hypercare support.
Our development teams are embedded in pharmaceutical IT. We understand validation requirements, regulatory documentation obligations, and the operational realities of GxP-regulated environments.
Discuss a custom buildFull-Stack Web Applications
Cloud-native applications built on modern frameworks, deployed to AWS or Azure, with pharmaceutical-grade access control and audit trail.
Validated GxP Systems
GAMP5 Category 4 and 5 system development with full lifecycle documentation — URS, FS, DS, IQ, OQ, PQ protocols supplied as part of the deliverable.
Data Migration & Consolidation
Legacy system decommission and data migration executed with full traceability. Validated data migration protocols supplied for GxP-regulated data sets.
Mobile & Desktop Applications
Field-ready mobile applications for warehouse operations, cold chain monitoring, and inspection support — built for pharmaceutical operational environments.
API integration across your entire enterprise application estate.
Pharmaceutical and life sciences organisations operate complex application estates — ERP platforms, CRM systems, quality management tools, regulatory databases, and warehouse management systems that were never designed to communicate with each other.
Codesplice designs and implements API integration architectures that connect these systems reliably, with full audit trails and the data integrity controls that GxP-regulated environments require.
REST & GraphQL APIs
Standards-based API development and consumption across all major enterprise platforms. Full OpenAPI documentation and versioning supplied as standard.
Event-Driven Architecture
Asynchronous message-based integration using AWS Event driven architecture patterns — decoupling systems for resilience and scale.
ETL & Data Pipelines
Validated data transformation pipelines between systems, with error handling, retry logic, and full audit logging for GxP-regulated data flows.
Middleware & iPaaS
Integration middleware design using Azure Integration Services, Azure Logic Apps, and Power Automate for complex multi-system orchestration.
Legacy System Bridging
Adapter development to expose legacy system data through modern APIs — enabling aged infrastructure to participate in contemporary integration architectures.
Real-Time Synchronisation
Bi-directional real-time data synchronisation between operational systems — inventory, order management, QMS records — without manual export/import cycles.
Connect your applications to AI — without creating new data silos.
Most enterprise AI deployments fail to deliver value because AI models cannot access the data they need. Business context lives in ERP systems, CRMs, document stores, and compliance platforms — none of which were designed with AI connectivity in mind.
Codesplice builds Model Context Protocol (MCP) servers for standard business applications — creating a structured, AI-readable interface to your operational data without duplicating it or compromising your data governance posture.
The open standard for AI-application connectivity.
The Model Context Protocol is an open standard that defines how AI models communicate with external data sources and tools. An MCP server exposes your application data through a structured interface that any MCP-compatible AI can query — safely, consistently, and without custom integration work per model.
Eliminate Data Silos
Replace fragmented point-to-point integrations with a single, structured data communication channel. Your AI agents and internal tools access all application data through one consistent interface.
AI-Ready by Design
MCP-enabled applications are immediately accessible to Claude, GPT-5.x, and other large language models. Your business data becomes a first-class input to AI workflows without any bespoke prompt engineering.
Standardised Protocol
The Model Context Protocol is an open standard developed by Anthropic. Building on MCP future-proofs your integration architecture — any MCP-compatible AI can connect to your server without rework.
Orchestrated Workflows
Chain data from multiple applications — ERP, CRM, compliance systems, file servers — into unified AI-orchestrated workflows. A single AI agent can query, reason across, and act on data from your entire application estate.
Application Audit
We assess your target application's data model, existing APIs, and authentication architecture to determine the optimal MCP server design.
MCP Server Development
A production-grade MCP server exposing your application data as structured, AI-queryable resources and tools — with access controls, rate limiting, and audit logging.
AI Agent Integration
Configuration and testing of your MCP server with target AI models or agent frameworks, including validation that data is surfaced accurately and securely.
Tell us what you need to build.
Whether it is a bespoke regulated application, an enterprise integration programme, or an MCP server to unlock AI across your organisation — our engineering team will scope it, price it, and deliver it.