





We build compliance in from day one:
We build healthcare AI that works in the real world. From accurate predictive models to conversational tools that connect patients to care and improve outcomes.
We create apps clinicians love—featuring intuitive interfaces, offline functionality, real-time EMR sync, and multi-device support—built for dependable, real-world care.
With 150+ launches and a 90% talent retention rate, our stable team delivers consistent, on-budget quality projects from start to finish.
We protect patient data with industry standard security—AES-256 encryption, multi-factor authentication, continuous monitoring, and regular audits.
Ranked a top 5 AI consultancy alongside Microsoft, NVIDIA, and IBM, with five Inc. 5000 wins, Boston’s #1 mobile app developer, supporting clients since 2012.
AI can transform healthcare, but only if we acknowledge its risks upfront:
How to reduce these risks:
AI is powerful, but it should always support clinical judgment — never replace it.
It’s no secret that most healthcare AI projects don’t make it past the pilot stage. The top reasons include:
How to set your project up for success:
⚠️ Red flag: Be cautious of anyone selling “plug-and-play” AI for healthcare. True success requires partnership and careful implementation.
Leadership and stakeholders often ask: Is this worth it? The answer comes down to measurable outcomes.
ROI opportunities include:
Strategic benefits:
The best approach is to frame AI not as an optional upgrade, but as a strategic investment in long-term success.
The right questions can reveal whether a vendor is truly ready for healthcare.
On clinical validation:
On technical capabilities:
On compliance and support:
⚠️ Red flags: No healthcare references, vague answers about limitations, or weak regulatory expertise.
Even the best AI tools fail if clinicians don’t use them. In fact, 40–60% of healthcare AI tools are abandoned due to poor adoption.
How to encourage real adoption:
Most importantly, remind staff that AI is here to support, not replace, their clinical judgment.
AI can transform healthcare, but only if we acknowledge its risks upfront:
How to reduce these risks:
AI is powerful, but it should always support clinical judgment — never replace it.
It’s no secret that most healthcare AI projects don’t make it past the pilot stage. The top reasons include:
How to set your project up for success:
⚠️ Red flag: Be cautious of anyone selling “plug-and-play” AI for healthcare. True success requires partnership and careful implementation.
Leadership and stakeholders often ask: Is this worth it? The answer comes down to measurable outcomes.
ROI opportunities include:
Strategic benefits:
The best approach is to frame AI not as an optional upgrade, but as a strategic investment in long-term success.
The right questions can reveal whether a vendor is truly ready for healthcare.
On clinical validation:
On technical capabilities:
On compliance and support:
⚠️ Red flags: No healthcare references, vague answers about limitations, or weak regulatory expertise.
Even the best AI tools fail if clinicians don’t use them. In fact, 40–60% of healthcare AI tools are abandoned due to poor adoption.
How to encourage real adoption:
Most importantly, remind staff that AI is here to support, not replace, their clinical judgment.
The most impressive thing about 923 was their versatility and breadth of knowledge about an industry that FanDuel is not well informed on. They always had a distinct POV on why we should make decisions a certain way.
The most impressive thing about 923 was their versatility and breadth of knowledge about an industry that FanDuel is not well informed on. They always had a distinct POV on why we should make decisions a certain way.

Join the healthcare companies who trust NineTwoThree to deliver compliant, innovative solutions that improve patient outcomes. Get a free compliance assessment and project roadmap.