Understand the system.
We start from the problem, the users and the constraints. Technology comes after.
Architecture / Our approach
Think in systems.
The best choices hold product, data, people and constraints together. Architecture makes those relationships visible.
Design the foundations.
Data model, responsibilities and contracts before multiplying features.
Build for what comes next.
We build reusable parts. Every product should make the next one simpler.
How we work
From problem to system.
One step at a time.
We tackle complexity.
We break it down together.
- 01
Problem
Truly understand the problem, the users and the goal.
- 02
Constraints
Map technical, time and business constraints.
- 03
Data
Design around the data: entities, relations, ownership.
- 04
Architecture
Define boundaries, responsibilities and system contracts.
- 05
Modules
Separate into independent, reusable parts.
- 06
Implementation
Build with readable, maintainable code.
- 07
Test
Validate behaviour, limits and error cases.
- 08
Iteration
Use real feedback to evolve the system.
The system, mapped
Clear boundaries.
Intentional connections.
HermesLXP as an example of
modular composition.
System map / HermesLXPConceptual view
Hermes CoreOrchestration & shared foundations
- Data Engine
- Application Engine
- AI Engine
- Authentication
- Permissions
- Automation
- Plugin System
- API Layer
- UI Builder
- Web
- Mobile
- Desktop
Architecture principles
Our method, layer by layer.
01 / System & data architecture
Start from responsibilities and data.
We define which parts own the data, which can change it and how they communicate. The model must reflect the product’s processes, not just the structure of the screens.
02 / Modular design & plugins
Reuse without creating hidden dependencies.
A module must have a readable purpose. Extensions connect through explicit contracts, so a new feature doesn’t require knowing every detail of the system.
03 / Authentication & authorization
Identity and permissions are different decisions.
Authentication establishes who is operating. Authorization decides what they can do. We design these two layers together with the data and enforce the rules on the server.
04 / Security & API design
Boundaries are part of security.
Input validation, minimal data exposure and error handling belong to a service’s contract. Integrations must stay understandable even when they fail.
05 / AI integration
AI is a product capability.
We start from the task and the information needed. We evaluate LLMs, vector search, local models, agents or computer vision depending on the use case. Access, output evaluation and fallbacks come before automation.
06 / Scalability & deployment
Prepare for growth, measure the limits.
We choose where to separate loads and responsibilities based on real constraints. Repeatable releases, controlled migrations and the ability to roll back are part of the design.
07 / Observability
A system must be able to explain what happens.
Errors, timings and critical steps must be observable. Diagnosis can’t depend on who remembers the code: logs and operational signals must help the team decide.
System qualities
What we optimise for.
An architecture is judged
by the properties it guarantees.
Maintainability
Another developer must be able to understand and change the system.
Security
Identity, permissions and validation designed from the architecture on.
Scalability
Separating loads and responsibilities where real constraints require it.
Observability
The system must be able to explain what happens, when it happens.
Performance
Fast where it matters, measured instead of assumed.
Developer experience
Clear boundaries and explicit contracts make the team faster.
Have a complex challenge?
An ambitious idea deserves an architecture to match.
Let’s talk