AdviNow, Inc
"A MedTech system with AI and NLP — very happy throughout the engagement." — Jim Shelby, CTO
Meet the future of HealthTech.
"A MedTech system with AI and NLP — very happy throughout the engagement." — Jim Shelby, CTO
"An amazing experience — responded quickly to changing deliverables. 100% recommend." — Ayush Sood, CEO
"One of the best partners — flexibility and commitment to success." — Tudor Brad, Owner
Data insights, AI chatbots, predictive analytics, computer vision and ML for telehealth.
Custom development, mobile apps, software architecture and cloud-native solutions.
MVP development, medical measurements with AR and screening software prototypes.
Israel, Latvia. Mobile and web interfaces for farming with sensors that monitor animal health. (Flutter, Java, Linux)
USA. A SaaS physician AI augmentation and scribe system — we built the backend/frontend, expanded the NLP knowledge base and improved the diagnostic algorithm. (Angular, Ansible, Python, Keras)
Someone is always on the Emphasoft side to help you 24/7.
We integrate with your team and bring strong expertise and best practices.
Start as soon as contracts are signed — everything is ready to go.
We build from scratch, fine-tune processes and bring it to market.
Feel free to book a discovery call — we'll get back to you in 24 hours.
Our HealthTech work covers three areas. In AI we build data insights, chatbots, predictive analytics, computer vision and machine learning for telehealth. Software engineering includes custom development, mobile apps, software architecture and cloud-native solutions. Research covers MVPs, medical measurements with AR and screening software prototypes. Examples include a SaaS physician AI augmentation and scribe system in the USA and interfaces for sensor-based animal health monitoring.
Requirements depend on where you operate and what data you process, for example HIPAA in the US or GDPR in Europe, so we clarify them with you at the start of the project. They then shape architecture, hosting, access control, logging and testing. Your regulatory and legal advisers define the obligations, and we build software that supports them.
Yes. For AdviNow Medical we worked on an existing platform, building backend and frontend parts, expanding the NLP knowledge base and improving the diagnostic algorithm. A similar project starts with a review of the data you already have, its quality and how clinicians will check the model output. After that we decide whether to train a model or build on existing services.
Yes. Research and MVP development are a separate part of our HealthTech services, including screening software prototypes and medical measurements with AR. With a prototype you can test the clinical workflow, user acceptance and technical feasibility before committing to a production platform. Scope, timeline and cost depend on what you need to prove, and we estimate them after a discovery call.
The main drivers are scope, integrations with existing clinical and hospital systems, how much AI and data work is involved, and compliance requirements, which add design, testing and documentation effort. A narrow prototype costs far less than a production platform clinicians use every day. We do not publish fixed prices; after a discovery call we estimate the cost for your requirements.
Work can begin as soon as contracts are signed, since the team, tools and processes are already in place. Book a discovery call and we will get back to you within 24 hours. We can build the product from scratch or work with your in-house team, and someone at EmphaSoft is always available to help you 24/7.
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