SEPIA
Understands the operation of a business from the inside.
End-to-end management: it connects information that normally lives apart and turns it into clear operational decisions.
Operations and business
Intelligent systems that understand the whole
ENCYKLOPH identifies real problems, understands them from the inside and builds digital products able to transform the entire system they operate in.
SaaS ecosystem · Intelligent products
Understand from within. Build for the whole.
- Active products
- 3
- Distinct domains
- Life · Business · Environment
- Principle
- Understand from within
The company
Understand
from within.
Build for
the whole.
Every ENCYKLOPH product is born in a different domain and keeps its own identity, purpose and business model. What connects them is not their sector, but a single way of building.
We don't create isolated apps: we build systems able to understand the full context they act in. We observe a need directly, understand every part involved, develop something useful, test it in a real environment and turn it into a scalable product.
The name
ENCYKLOPH joins two connected ideas: the complete circle of knowledge and the eye able to observe it. A vision that doesn't look at problems from the outside, but enters them, understands their relationships and builds from inside.
Products
Three domains. One way of building.
Each product keeps its own name, interface, users and commercial model. ENCYKLOPH provides the philosophy, the technology standard and the shared identity.
ITHO
Understands a person within the continuity of their life.
Longitudinal understanding: memory, context and continuous learning at the service of the user, without gamification.
Personal intelligence
WAYOO
Understands an environment from the perspective of someone who needs to move through it safely.
Area context reading: information with provenance, expiry and verification instead of anonymous ratings.
Environment and mobility
Architecture
One core.
Products in orbit.
ENCYKLOPH is the parent identity: philosophy, technology standard and a shared layer of data, models and context. Each product lives in its own domain and consumes that core without depending on the others.
- Data layer
- Provenance, date and confidence on every record.
- Model layer
- Shared intelligence, tuned per product.
- Context layer
- Longitudinal memory of the user and the environment.
- Interface layer
- Visual simplicity as a requirement, not a style.
Signals processed
1.4M
Pilot environments
9
Average latency
180 ms
How we build
Five steps.
None decorative.
Every product on the platform walks the same path, from the observed problem to the scalable system.
- 01
Real problem
We observe a need directly where it happens, with no intermediaries and no external briefs.
- 02
Understanding
We map every party involved and the relationships that hold the whole problem together.
- 03
Development
We connect information that normally stays apart and turn it into a simple experience to use.
- 04
Validation
We test the product in a real environment and learn from actual use, not from the hypothesis.
- 05
Scalability
The product grows with its own identity, improving continuously through data and artificial intelligence.
Technology
One shared
standard.
The products are independent; the foundation they are built on is not. That standard is what allows moving from experimentation to real use.
- Useful artificial intelligence
- Integrated where it solves a concrete task, never as a claim or a decorative layer.
- Automation
- Complex, repetitive work runs in the background; the interface only shows the decision.
- Connected data
- Scattered information joined with provenance, date and a confidence level on every statement.
- Memory and context
- Products remember the history and read the full situation before proposing anything.
- Modular architecture
- A shared technology standard lets a new product start without starting from zero.
Vision
Understand the whole. Build from within.
To create a family of products able to understand complex domains of life and business, and to improve them through real use.
Long-term vision
We don't optimise a launch: we build a platform ready to create the solutions that don't exist yet.
Demonstrable usefulness
A product is worth what it solves in a real situation, not what it promises in a demo.
Transparent origin
Anyone looking at our data can see where it comes from, when it was recorded and what backs it.