Semantic Notion

Build the hard part beautifully.

Semantic Notion is a founder-led software studio. We design and ship product systems, AI workflows and platform foundations for teams that need the difficult engineering done properly.

Start a projectSee selected work

Diagram: the surfaces people see, such as web, mobile and desktop apps, sit on top of the layers the studio builds underneath: services, intelligence, data and operations.

Selected work

Healthcare AI under HIPAA, a marketplace taken from first release to funded product in eight months, and an on-demand platform launched across several cities.

All case studies

Healthcare AI and infrastructure

AI-powered medical decision support system

The system achieved 93% accuracy in diagnostic assistance, reduced clinical documentation time by 67%, and increased early intervention case identification by 41%, all while maintaining full HIPAA compliance and seamless integration with existing workflows.

System map for AI-powered medical decision support system. Apps: Clinical web app, iOS app, Android app. Services: API Gateway, NestJS services, EHR integration, Lambda functions. Models: Fine-tuned LLM, Inference API, Retraining pipeline. Data: PostgreSQL, SurrealDB, FHIR data model.

Apps

  • Clinical web appNext.js, ShadCN
  • iOS appSwift
  • Android appKotlin

Services

  • API GatewayAccess control
  • NestJS servicesTypeScript microservices
  • EHR integrationCustom APIs
  • Lambda functionsServerless operations

Models

  • Fine-tuned LLMHosted on Kubernetes
  • Inference APIPython, TensorFlow
  • Retraining pipelineContinuous learning

Data

  • PostgreSQLStructured clinical data
  • SurrealDBHealthcare relationships
  • FHIR data modelEncrypted at rest and in transit
  • 93% diagnostic assistance accuracy
  • 67% reduction in clinical documentation time
  • 41% increase in early intervention cases

Full-stack development

Trading card marketplace platform

The platform helped the client secure $2.5M in funding, achieve 78% improvement in user retention, and rapidly evolve from MVP to a mature product in just 8 months. The marketplace now supports thousands of daily transactions with a thriving community of collectors and traders.

  • $2.5M in funding secured
  • 78% improvement in user retention

Mobile and web development

On-demand services platform for iOS, Android and web

The platform successfully launched in multiple cities, secured $1.5M in funding, and achieved rapid growth in both user engagement and platform adoption within the first six months post-launch.

  • $1.5M in startup funding secured
  • 48% increase in user engagement

Services

One team across the whole stack. Pick the layer you need help with, or bring the whole problem.

How the services fit together

Product surfaces

The parts people see and touch: web and mobile interfaces and the application logic behind them.

Systems

The parts that keep the product standing: APIs, data, cloud infrastructure, release pipelines and desktop tooling.

Advanced platforms

Specialised work with real operating consequences: applied AI and blockchain systems.

How we work

Build the minimum system that can be trusted. We value clarity over ceremony, explicit tradeoffs over broad promises, and delivery a team can operate once we step out of the room.

  • Clarify the pressure point

    We start with the constraint that matters most: a product decision, a delivery risk, or a technical boundary the team has to live with.

  • Compress the solution

    We keep the first pass small enough to survive production scrutiny and clear enough that the team can see how it works.

  • Make ownership legible

    Interfaces, failure modes and next steps stay visible, so the system can be run without depending on a polished handoff call.

  • Leave room for the next decision

    The output should reduce coupling, preserve optionality and give the team a structure they can extend without rethinking the whole stack.

What clients say

“They helped us ship a React Native app that felt disciplined from the first release. The team could maintain it without hand-holding.”

Sarah Johnson

Director of Digital Products, RetailTech

98% user satisfaction after launch

“They turned a brittle cloud setup into a system our team could reason about. Delivery became predictable instead of fragile.”

Michael Chang

CTO, GrowthFin

59% reduction in infrastructure cost

“The AI workflow reduced review time without forcing clinicians to change how they worked. That was the part that mattered.”

Dr. Emily Rodriguez

Chief Innovation Officer, HealthStream

62% less analysis time

Journal

We write down what we learn building these systems: 41 articles on AI, retrieval and systems engineering, and a 109-term glossary.

All articlesGlossary

Bring us the hard part.

Tell us what you are building and what is getting in the way. A few sentences is enough to start.

Start a projectcontact@semanticnotion.com