Here we highlight several customer industry verticals and summarize how our high-performance data science as a service model can be a promising catalyst for both tactical and strategic profitable growth.
WeR.ai is open to discussions about strategic transactions within these and other industry verticals.
Offer differentiated AI services that include deployment of the AI solution opportunities you identify for your clients. AI solutions involve much more than just AI. We will handle the data science. You take the PMO, Experience Design, Front End, Architecture, Data Flows, Op Model, Change, Performance, Controls, etc.
Companies across industries face internal and external forces driving the need to transform. Whether it's changes in the competitive landscape, or exploring new business / revenue models, driving operational efficiencies, or enhanced or lower-cost compliance regimes...
Digital transformation can be accelerated by AI.
Optimization of clinical staffing supply to meet predicted patient demand is achievable via our optimization and recommendation product science. Bespoke analytics solutions pose less risk per system, data schema variability.
Surge Prediction | Licensure/Skill Matching | SMB Requirements | Cost-Savings | Patient Sat.
Longitudinal patient & physician insights | Marketing Best Next Engagement (see WIFO™) | Chatbots | Predicting manufacturing quality excursions | Recall risk signal detection | AI on the Fly ImplicitSearch™ insights on Medical Literature or Off-Label Promotion Detection | Patent Value Maximization | Care Optimization
Use our ImplicitSearch™ engines to search *for* resumes *with* resumes to find the right people faster and more consistently across teams. Allow job seekers to find open positions with their resumes instead of role assumptions. ImplicitSearch™ can also streamline project staffing (Consulting companies) or gig staffing.
Higher Education is investing in Innovation Operations. Innovation Operations involves ideation, collaboration, and agile solution deployment. With our subscription model, there is no AI software to buy, and students focus on solutions and outcomes (and not the hard data science part since we've got that covered).
The expectation of an AI-enhanced experience exists across B2E, B2C and B2B stakeholder audiences. AI-native companies continue to emerge or evolve their offerings. Technology incumbents are embedding AI features in their solutions. Whether you need help starting, or are picking up from past failures, WeR able to help.
Market trends suggest increasing focus on relationship management with buyers expecting personalized, deep-insights analyses and bespoke portfolio constructions that achieve targeted outcomes. Data schema variability makes One Size Fits All solution approaches a challenge - but not for us. WIFO™ is a great fit here.
Our patent-pending ImplicitSearch™ technology - which can greatly accelerate discovery by allowing investigators to search *for* relevant content *with* relevant content - could enable new, differentiated, or premium priced features in your current solutions. Read more about it over at ImplicitSearch.ai.
Nobody pays you for your great idea.
They pay you for *excellent execution* of your great idea.*
WeR.ai's subscription model is perfect for startups that need to launch world-class data science-powered solutions quickly and then adapt post-MVP per startup dynamics and ever-changing customer needs.
Smart Cities use insights from sensors, IoT platforms, and other data sources to better manage community assets, resources, and to better engage with and serve the needs of residents and businesses. Given cities' needs for bespoke AI solutions, our aaS model offers advantages over costly, one-size-fits-all products.
Fan engagement, with personalized experiences within and across the venue and its merchandise and food & beverage vendors, requires high-performance data science engines with solid productional SLAs. Our subscription model provides the agility you need to manage ever-changing experience expectations and data schemas.