Insights

Strategic Partnerships PercayAI has a history of forming research and industry collaborations with Saint Louis University, Washington University, Canopy Biosciences, and Accenture. These relationships indicate openness to partner-driven go-to-market approaches and potential for channel or co-development opportunities in healthcare AI across life sciences, drug discovery, and clinical data domains.

Healthcare AI Focus The company targets augmented intelligence across life sciences, drug discovery, payment integrity, and medical claims. This breadth in healthcare verticals suggests multiple entry points for sales outreach including AI-driven drug development platforms, payer integrity solutions, and clinical data insights for health systems.

Early Stage Growth With a small team and revenue in the low seven figures range, PercayAI appears to be a seed to early-growth stage company. This indicates potential for upsell of expanded AI capabilities, cloud-scale solutions, and enterprise-grade deployments as they scale.

Tech Stack Alignment Utilizing Kubernetes, Google Cloud, Gradle, and Go shows a modern, scalable cloud-native architecture. Prospects in data-heavy healthcare workloads and computational biology can be targeted with offerings that complement or extend their cloud-based AI infrastructure and MLOps.

Strategic Partners Past engagement with Accenture’s INTIENT platform suggests a go-to-market path through large system integrators and consulting partners. Pursuing co-sell opportunities, alliance programs, or embedded AI modules within enterprise platforms could accelerate distribution and credibility in healthcare AI.

PERCAYAI Tech Stack

PERCAYAI uses 8 technology products and services including Apache Maven, Amazon Elastic Kubernetes Service, Amazon S3, and more. Explore PERCAYAI's tech stack below.

  • Apache Maven
    Build Automation
  • Amazon Elastic Kubernetes Service
    Containerization
  • Amazon S3
    Content Delivery Network
  • Open Graph
    Content Management System
  • Google Cloud
    Infrastructure As A Service
  • WebsiteBuilder
    Page Builders
  • C++
    Programming Languages
  • HSTS
    Security

PERCAYAI's Email Address Formats

PERCAYAI uses at least 1 format(s):
PERCAYAI Email FormatsExamplePercentage
FLast@percayai.comJDoe@percayai.com
100%

Frequently Asked Questions

What is PERCAYAI's official website and social media links?

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PERCAYAI's official website is percayai.com and has social profiles on LinkedIn.

How much revenue does PERCAYAI generate?

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As of July 2026, PERCAYAI's annual revenue is estimated to be <$1M.

What is PERCAYAI's NAICS code?

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PERCAYAI's NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does PERCAYAI have currently?

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As of July 2026, PERCAYAI has approximately 2 employees across 1 continents, including North America. Key team members include Principal Software Engineer: B. E.. Explore PERCAYAI's employee directory with LeadIQ.

What industry does PERCAYAI belong to?

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PERCAYAI operates in the IT Services and IT Consulting industry.

What technology does PERCAYAI use?

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PERCAYAI's tech stack includes Apache MavenAmazon Elastic Kubernetes ServiceAmazon S3Open GraphGoogle CloudWebsiteBuilderC++HSTS.

What is PERCAYAI's email format?

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PERCAYAI's email format typically follows the pattern of FLast@percayai.com. Find more PERCAYAI email formats with LeadIQ.

When was PERCAYAI founded?

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PERCAYAI was founded in 2019.
PERCAYAI logo

PERCAYAI

IT Services and IT ConsultingMissouri, United States2-10 Employees

PercayAI is an IT services and IT consulting firm based in St. Louis, Missouri, founded in 2019. The company develops augmented intelligence software intended for healthcare applications, spanning life sciences, drug discovery, payment integrity, and medical claims. Its team combines expertise across life sciences, technology, and enterprise business to approach technology and its impact from a cross-disciplinary perspective.

The firm has engaged in collaborations with academic institutions, including a 2021 research partnership with St. Louis University and a 2020 collaboration with the Washington University School of Medicine in St. Louis to apply deep learning to multiomic data in pursuit of COVID-19 treatments. These alliances suggest a focus on helping research organizations and healthcare enterprises accelerate drug discovery and manage healthcare information through augmented intelligence.

Section iconCompany Overview

NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2019
Employees
2-10

Section iconFunding & Financials

  • <$1M

    PERCAYAI's revenue is estimated to be in the range of <$1M

Section iconFunding & Financials

  • <$1M

    PERCAYAI's revenue is estimated to be in the range of <$1M

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