AI studio for products and research

We turn ambitious ideas into intelligent systems.

Semanthica is a small studio for teams who need more than an AI demo: we design, test, and build products where data, software, and research meet.

Start a conversation Explore projects

complementary profiles across AI, data, software, and research

products and prototypes already in motion

languages, one shared voice

The studio

A compact team with unusual range.

We are four builders with different instincts and a common standard: make AI useful, legible, and well made. Semanthica brings together data, software engineering, physics, psychology, and product thinking without pretending to be a large consultancy.

Selected work

Things we are building, testing, and learning from.

Voice and language learning

Cleopatra

A language-learning product that lets people hear their own voice speak another language with near-native pronunciation.

Architecture and technical design

AI for CAD workflows

A project for architects and technical designers, exploring how AI can support CAD workflows without getting in the way of design intent.

Physics research prototype

Prisma

A research project born from Edoardo Tedesco's thesis, shaped by physics, modeling, and a careful approach to complex systems.

Experiments and product seeds

Research prototypes

Smaller experiments where interfaces, data, and domain reasoning are pushed far enough to reveal whether an idea deserves to become a product.

What we do

From a sharp question to a working product.

AI product strategy

We help turn a promising but vague AI idea into a product direction, a technical shape, and a realistic path to ship.

Data and model workflows

We design the data flows, retrieval layers, evaluation loops, and model workflows that make AI products behave in the real world.

Software prototypes

We build prototypes and internal tools that are polished enough to use, and structured enough to grow beyond the first demo.

Team

Four backgrounds, one way of working.

Andrea Ferrati

Data and applied AI

Andrea brings the data instinct: analysis, structure, and the ability to make messy information operational.

Giuseppe Lombardo

Software engineering

Giuseppe brings the engineering backbone: strong programming taste and the depth needed to turn prototypes into reliable software.

Edoardo Tedesco

Physics and research

Edoardo brings the research mindset: physics, modeling, rigor, and the patience to reason through hard problems.

Gianluca Rossi

Human behavior and communication

Gianluca brings the human layer: psychology, communication, product taste, and a practical interest in building with AI.

Journal

Notes on building with AI, without the fog.

The journal is where we will write about products, research, mistakes, tools, and the choices behind the systems we build.

Semantic systems as product material

Read the first note

Reach us

Have something worth building properly?

Send us a concise note about the product, prototype, or research question you have in mind. We will answer with the same care we bring to the work.

hello@semanthica.com