Engineering Toolkits
Engineering Toolkits turn requirements into running systems. New applications are generated from an idea, legacy systems are modernised with their rules preserved, and builders, integration, data pipelines and analytics are all created on-platform and governed.
Modules
An idea, a conversation or a document, into a production-ready app.
A complete, production-ready enterprise application is generated from an idea, conversation or document, with data model, workflows and UI, on-platform, governed and data-connected.
Legacy code into a modern, cloud-native app, every rule preserved.
Legacy code is reverse-engineered, business rules are extracted, and the system is rebuilt cloud-native on a modern stack with documentation auto-generated.
Tailor the platform without code, and see how it runs.
No-code builders and modelers design workflows, forms and models and tailor platform features, with execution intelligence, bottleneck detection and upgrade-safe changes.
One integration layer to connect the whole stack, without glue code.
Pre-built connectors and a secure integration builder connect enterprise and third-party systems through one governed, central layer, with reusable connections and monitoring.
Describe the pipeline, ingest any source at scale.
AI-built ETL and log-based CDC pipelines intake big data from diverse sources through a source-to-destination builder, with orchestration and plain-language run summaries.
Raw data into ready data, transformed at scale.
Big-data transformations cleanse, join, aggregate and reshape data, persisting to queryable stores as a pipeline-native, scale-out and governed step.
Data as a product, governed APIs and plain-English queries.
Data pools become governed APIs served to apps and AI agents, with plain-language queries, API operations and monitoring, and MCP orchestration for agents.
Describe it, and AI builds the datasets, dashboards and reports.
AI agents build datasets, widgets, dashboards and scheduled narrative reports from plain language, with metric governance so every number agrees.
SoPs and MoPs as governed automation, run across the estate.
Standard and maintenance operating procedures become reusable automation scripts, executed across systems on schedule with approval-gated governance and SLA monitoring.
The whole product lifecycle, requirement to release.
Products, modules and requirements are tracked requirement-to-release with sprints, velocity, defects and release readiness, as agile product development in one view.
One admin backbone for every module.
Roles, hierarchy and organisational structure are configured once and shared across every module, with reporting chains, role assignment and central configuration.
How it works
New applications are generated from an idea, legacy systems are modernised with rules preserved, and integration, data pipelines and analytics are built on-platform and governed.
Engineering Toolkits build, modernise, integrate and analyse without leaving the platform.