XpertFlow

XpertFlow is a point of care prognosis company that predicts life threatening medical conditions before onset using AI. XpertFlow improves patient outcomes, operational efficiency and reduces medical bills.

Xếp hạng 102
Định giá startup
Đơn giá cổ phần $5,000 SW
Cổ phần có thể bán 100.0%
Cơ cấu sở hữu cổ phần
XpertFlow was founded in 2019, incorporated in 2020 and headquartered in Singapore. XpertFlow has a development office in Pakistan and is incorporated under the name of “X-Datalabs” as a private limited company. XpertFlow is a technology startup addressing the problems faced by healthcare industry by using its proprietary deep-tech. XpertFlow predicts life threatening medical conditions before onset using Computer Vision, AI and IOT technologies.

XpertFlow is committed to lead in Technology, Innovation and Development at a global level. We aspire to create revolutionary products & services to improve human lives. While doing so, we will always strive toward achievement of Sustainable Development Goals. Moreover, at XpertFlow, we endeavor to create an environment where our employees feel valued, relaxed and utilize their full potential in achieving company goals.

XpertFlow is dedicated to provide the highest quality of Proactive Healthcare Approach, Smart, Autonomous and Remote Patient Monitoring to the healthcare facilities in order to improve Operational Efficiency of the healthcare facilities and enhance Patient Experience & Satisfaction.

Every passing hour, Sepsis kills 1,250 people, costs $15 Million to the payers globally and induces an average Marginal loss of $5,000 to the hospitals. The leading cause of death in ICUs is Sepsis. Sepsis is the body’s extreme response to an infection. It is a life-threatening medical emergency.  Sepsis happens when an infection patient already has —in their skin, lungs, urinary tract, or somewhere else—triggers a chain reaction throughout their body.  Without timely treatment, sepsis can rapidly lead to tissue damage, organ failure, and death.

The early identification or detection of sepsis is the only key in managing sepsis successfully, but unfortunately, this is not the case in majority of situations. We at XpertFlow have come up with an intelligent solution for the early prognosis/detection of sepsis. 

XpertFlow offers a unique value proposition to the stakeholders. Our product reduces the length of stay in hospitals, cost of treatment and mortality. Moreover, XpertFlow offers hospitals with an additional revenue stream and hence enhancing the revenue.

Our smart & autonomous patient monitoring software solves this problem. It’s powered by AI, works in real-time, simple to use and understand for healthcare staff. It provides a robust surveillance system specifically targeting sepsis and improves patient outcomes by providing Early Warning to Doctors/Nurses. Our product is cloud based that is easy to implement & integrate into existing EHRs. The software also helps to overcome the AMR (Anti-Microbial Resistance) problem using EHR data/patient history. Due to a proactive healthcare approach our solution reduces length of stay in ICUs and resultantly reducing cost of treatment. It reduces the burden on healthcare staff & ultimately improving operational efficiency of the hospitals.  

Our competitors include a couple of hospitals in US that are using their home-grown prediction software, established companies like GE healthcare & Philips that develop monitoring equipment and the existing mortality calculators like qSOFA, SOFA, SIRS, NEWS etc. Our solution leads the competition in terms of performance and cost. Our performance metrics are:

•           Achieved accuracy of 97% in a simulated environment for sepsis screening

•           24% better than existing practices

•           60% faster than existing practices

•           6 – 12 hours forecast, which is absent in existing practices

The market size of AI in healthcare was valued at $4.84 Billion in 2019 and is estimated to reach $99.49 Billion by 2027 growing at the CAGR of 42.8% between 2020 - 2027. As far as IOT (wearable medical devices) is concern, this market was valued at $19.633 Billion in 2015 and is growing at a CAGR of 16.2%. This market is expected to reach $57.653 by 2022 because Wearable technology market has witness increased adoption owing to factors such as ease of use, flexibility and convenience.

We are looking for a seed investment of US$900,000 to finance our pilot projects, file for the IP rights and get regulatory clearance from FDA/CE Mark/DRAP in order to commercialize the product and drive revenue.

XpertFlow is assisted by a team of scientific experts, business gurus and mentors in order to achieve its vision:

Scientific Team:

Chief Medical Officer (CMO)

·        Col. (R) Dr. A. H. Bhatti – Associate Professor & Consultant Anesthesiologist (PAF Hospital)

Chief Scientific Officer (CSO)

·        Mehak Rafiq, PhD. – Assistant Professor Computational Sciences (RCMS – NUST)

Advisory Team:

·        Benjamin Cistecky – Director AI Agile Pod | Investment Group (Temasek) Singapore
·        David Zhou – Director Strategy & BD (Westcliff University U.S.)
·        Prof.  Ashley George CC FRSC – CEO (Bay Digital Consulting U.K.)
·        Barrister Ahmed Uzair – Partner AUC Law | LLB U.K. (Tech Lawyer)

Mentor-ship:

·        Peter Browne – Pitch Coach & Communication Consultant (Australia) 
·        Abhinav Krishna – Ex-CEO OurHealthMate and Head of APAC at Deel.
·        Douglas Abrams – CEO Expara & Expara IDM Ventures 

As a part of our go-to-market strategy we have partnered up with the following industry veterans in order to scale both locally and internationally:

·        Amazon Web Services (AWS) – APN Global Startup (Technology Partner)
·        NVIDIA – Inception Program (Technology Partner)
·        Pakistan Education and Health Consultant (BizDev Partner)
·        Pak Health Consultants – Collaboration in KPK & Punjab (Marketing Partner)
·        IPI Singapore – Innovations Platform (Industry Partner)
 ·       Bay Digital Consulting., UK. (Medical Device Regulatory Affairs Partner)