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  • Pages
  • Editions
01 Cover
02 Welcome Letter / Sections
03 Article & Interview Directory
04 Section 1: Introduction
05 Introduction to US Life Sciences
06 Janssen Pharmaceuticals Interview
07 Investment Climate
08 MPM Capital Interview
09 Signet Healthcare Partners Interview
10 Xontogeny Interview
11 Insights from EisnerAmper
12 The Life Sciences Regulatory Climate
13 Buchanan Ingersoll & Rooney PC Interview
14 PhRMA Interview
15 PBOA Interview
16 Ernst & Young LLP Interview
17 LaVoieHealthScience Interview
18 Section 2: Introducing the Hubs
19 East Coast
20 BioNJ Interview
21 MassBio Interview
22 Pennsylvania Biotechnology Center Interview
23 West Coast
24 Biocom California Interview
25 QB3-Berkeley Interview
26 Section 3: Drug Discovery and Development
27 Therapeutic Fields On Fire
28 Insmed Interview
29 Mammoth Biosciences Interview
30 Innovations Enhancing the Patient Experience
31 Arcturus Therapeutics Interview
32 Karius Interview
33 Expert Insights: Targeted Therapeutics
34 First Wave BioPharma Interview
35 Aphios Corporation Interview
36 Section 4: Contract Manufacturing and Chemicals
37 A Shifting Landscape
38 Syngene International Interview
39 Cambrex Interview
40 Lubrizol Life Science Interview
41 Aenova Group Interview
42 Keeping Up With Demands
43 Cureline Interview
44 Interview: Murli Krishna Pharma
45 PsychoGenics Interview
46 Expert Insights: Innovative Technologies
47 AMPAC Fine Chemicals Interview
48 TCG Lifesciences Interview
49 CordenPharma Interview
50 Quotient Sciences Interview
51 A Post-Pandemic World
52 New Vision Pharmaceuticals Interview
53 Adare Pharma Solutions Interview
54 Ascendia Pharmaceuticals Interview
55 Chemicals Producers and Distributors
56 Brenntag North America Interview
57 BASF Pharma Solutions Interview
58 Section 5: Technology Services
59 Life Sciences Go Digital
60 RxS Interview
61 Insights from Markem-Imaje
62 AiCure Interview
63 WhizAI Interview
64 Section 6: Company Profiles
65 Brenntag Company Profile
66 Adare Pharma Solutions Company Profile
67 Quotient Sciences Company Profile
68 SK pharmteco Company Profile
69 AiCure Company Profile
70 Markem-Imaje Company Profile
71 TCG Lifesciences Company Profile
72 Murli Krishna Pharma Company Profile
73 Credits

Rohit Vashisht, Co-Founder & CEO,

WHIZAI

"We believe every function in the life sciences and healthcare industries can optimize operations based on structured data and insights."

What was the gap you saw in the life sciences that led you to co-found WhizAI?

The amount of data companies collect today is astounding, and we saw a need for a platform to help these companies leverage their data in a way that is fast, scalable and easy to use. In doing so, these companies can improve their operational efficiencies, market shares, and drug discoveries. We live in an increasingly connected and on-demand world, where everybody is available online. We do not see a reason why analytics should be any different. We want users to be able to have key facts on hand instantaneously rather than having to sift through various dashboards and reports.

Who are WhizAI’s target clients?

Our key clients cover the life sciences and healthcare space. Our strong suit is commercial pharma, and we are advancing in manufacturing, supply chain, clinical R&D, and recently patient services. We recently found success with Medtech companies and are currently expanding to payers and providers, helping customers in the US and Europe. WhizAI’s platform can be used for a variety of functions in an organization. We believe every function in the life sciences and healthcare industries can optimize operations based on structured data and insights.

What did the process of training your AI look like?

We invested a lot of resources into four main aspects of training our AI. The first level was the data itself. We began working with industry experts as well as our own customers to bring in novel use cases that could contribute to language models. This was successful; for example, on the commercial side we probably have the industry’s largest question bank to date. The second level was to then understand the data models for quick deployment. To do this, we have been working with many of our customers and partners to build accelerators to go live in days and shorten the time to value for our customers. The third aspect of our technology is the zero code environment to build, share and collaborate on analytics. Analytics processes that used to take weeks are now done in minutes in WhizAI. Lastly, we look at insights, which is domain-specific. For example, there is a difference in relevance between someone who is running clinical trials and someone who is an area manager overseeing 600 doctors. Together, these four training components have led to a highly comprehensive system that only continues to expand its capabilities.

Are patients able to witness benefits from these tools firsthand?

While patients do not interact directly with WhizAI tools, people in pharma who impact the patient experience absolutely do. For example, people within patient service roles at big pharma companies see clear benefits by providing a holistic view of the entire patient journey through each step of the process, with real-time insights, from referral through titration and adherence. Here, the benefit is how instantaneously users can get the lowest-level details to then figure out what is happening in a unique situation. From a patient’s perspective, what used to take days can now happen quickly, improving their overall experience and potentially their health outcomes.

What role do you see AI playing in the life sciences over the next few years?

Although AI is relatively new today, in 10-15 years every application will be AI-enabled. I see a lot of room for advancement within certain IoT applications in which it is humanly impossible to track all the data. Additionally, there is a lot of unstructured data in the form of patient or doctors’ notes, and we see a tremendous potential to apply AI towards molding this into actionable information. Of course, on the clinical side, AI enables researchers to discover molecules faster. In my mind, AI is everywhere. In 10 years, it will be like the internet — we do not talk about it, we just use it.

How do you see WhizAI growing in the near term?

WhizAI is just getting started. We started the company only five years ago and are now seeing large pharma adopting our platform, trusting it to run their analytics. This is a testament to how hungry our customers are for companies that offer products like ours. I anticipate we will double the size of the company by the end of 2022, and we are on track to do 300% revenue growth in the same timeframe.

Next:

Section 6: Company Profiles