Enterprise software engineering & product innovation

Engineering complex software.
Building what comes next.

Simorgh architects, engineers, and builds software platforms for organizations that need more than another application. We work across enterprise platforms, SaaS products, workflow systems, and AI-assisted engineering.

13
products across the portfolio
2015
founder-led engineering practice
3
continents of collaboration
SIMORGH / SYSTEM MAP
Conceptual engineering system map A high-level map from problem framing and architecture through platform engineering, validation, and delivery. Problem framing Architecture models & contracts Platform engineering Product design Validation evidence Delivery operations A conceptual view — not a proprietary architecture diagram.
13products, platforms, and initiatives
8engineering capability areas
2production SaaS markets
2015founder-led practice

Featured technology

Glounix Factory

AI assists the design. Engineering systems govern the build.

Factory explores how typed models, explicit contracts, deterministic compilation, and governed validation can make enterprise software production more reproducible than repeated free-form code generation.

Implemented and pre-release. Not a claim of universal or end-to-end delivery.

Public-safe conceptual Factory flow from requirements and typed models through deterministic compilation, quality gates, and a registered build artifact, with explicit human review.

Conceptual pipeline. Proprietary compiler internals are not published.

Product portfolio

Thirteen products. One engineering practice.

Thirteen products, platforms, and engineering initiatives. The order reflects strategic positioning, not commercial maturity. Every status is labeled.

Next step

Have a system that has to work?

Tell us about the problem, the constraints, and what success would prove.

  • 01 Frame the problem
  • 02 Review the architecture
  • 03 Validate a bounded pilot
Talk to Simorgh

Engineering expertise

Depth where systems become difficult.

We work where product decisions, architecture, and delivery constraints meet: enterprise platforms, workflow-heavy operations, multi-market SaaS, and engineering infrastructure.

Enterprise architecture

Domain boundaries, integration contracts, tenancy, permissions, and the decisions that keep a system coherent as it grows.

Platform engineering

Shared services, modular platforms, build and release infrastructure, and the foundations product teams depend on.

AI-assisted engineering

Bounded AI assistance for design, analysis, and production workflows, with explicit human authority and deterministic checks.

Workflow & BPM

Process modeling, approval paths, state machines, and operational systems that reflect how organizations actually work.

Enterprise integration

APIs, events, data contracts, and adapters that connect systems without hiding ownership or failure modes.

Product engineering

From problem framing and product architecture to shipped interfaces, operational instrumentation, and iteration.

Cloud & on-premises

Deployment-aware applications that respect market, data, and operational constraints rather than assuming one environment.

UI/UX & product design

Information architecture, interaction design, design systems, and accessible interfaces for complex operational software.

How we engineer

A method built for systems, not demos.

The same discipline applies whether we are building a platform, a SaaS product, or the engineering infrastructure that produces software. Products are not all generated by Factory; Factory is one initiative in the portfolio.

  1. 01

    Understand

    Frame the problem, the users, the operating constraints, and what evidence would prove success.

  2. 02

    Architect

    Define boundaries, contracts, data ownership, integration paths, and the decisions that must survive change.

  3. 03

    Engineer

    Build in small, reviewable increments with explicit interfaces and operational instrumentation.

  4. 04

    Validate

    Test at the level that matters: contracts, workflows, browser behavior, failure modes, and acceptance evidence.

  5. 05

    Deliver

    Ship with rollback, observability, documentation, and an honest status of what is proven and what remains.

Company

Founder-led engineering, built for the long horizon.

Simorgh is a software engineering and product company. Our work spans enterprise platforms, multi-market SaaS, consumer finance, scheduling, marketing automation, and engineering infrastructure.

The practice is founder-led and has been operating since 2015. Collaboration and delivery experience includes work with organizations in Canada, Italy, and the United States. We do not publish customer counts, revenue figures, or adoption metrics that we cannot substantiate.

Practice Founder-led since 2015
Portfolio 13 products & initiatives
Focus Enterprise platforms, SaaS, engineering infrastructure
Method Evidence-labeled status, explicit boundaries, validation before claims

Selected international engagements include Appegram (Italy), Innofact and Complete Comfort Control (Canada), and JOVANI and Niche Beverly (United States). These are historical collaboration references, not current customer endorsements.

Contact

Bring us a system that has to work.

If you are planning an enterprise platform, a complex SaaS product, or an engineering initiative where correctness matters, start with the problem. We will tell you what we can validate, what we would need to learn, and where the risks are.

info@simorghhub.com

This is the only public contact channel for Simorgh. We do not publish phone numbers, postal addresses, or map locations.

Helpful context

  • The problem and who experiences it
  • The systems, data, and constraints involved
  • What has already been tried
  • What a successful outcome would prove
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