Informai

Houston, Texas, USA All United States companies → — Founded 2017

Imaging AI Specialist Specialty-Focused AI

Seed — $2.0M

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About Informai

InformAI is a healthcare artificial intelligence (AI) company that develops AI-driven enterprise software solutions to enhance clinical decision-making, optimize treatment planning, and improve patient outcomes. Their products are designed to integrate into hospital workflows and existing reimbursement frameworks, ensuring real-world deployment and clinical relevance. The company emphasizes targeted solutions for specific clinical challenges rather than one-size-fits-all imaging AI.

InformAI’s portfolio spans high-impact medical fields, including radiology, radiation oncology, organ transplantation, and diagnostic imaging. Their flagship product, RadOncAI, aims to improve clinical decision-making in radiation oncology. Pipeline products like SinusAI and TransplantAI are designed to accelerate medical diagnosis at the point-of-care and enhance radiologist productivity. TransplantAI, for example, is being developed to assist organ transplant surgeons in matching donor organs with recipients, leveraging advanced machine learning and deep learning to improve predictive accuracy for transplant outcomes. The company’s AI-enabled image classifiers and patient outcome predictors are developed within the Texas Medical Center, the world’s largest medical center complex, to ensure clinical provenance and access to real patient data for training and validation.

Focus Areas

Healthcare AI medical imaging radiology radiation oncology transplant informatics CT diagnostics predictive analytics clinical decision support

Business Intelligence

Key Investors	DEFTA Partners, National Science Foundation, Joyance Partners, Social Starts
Partnerships	University of Texas Southwestern Medical Center (UTSW), Nvidia's Inception Program, Microsoft for Startups, Amazon Activate, Cancer Prevention and Research Initiative of Texas (CPRIT), National Institutes of Health (NIH)
Technology	AI-driven enterprise software solutions, AI-enabled image classifiers, patient outcome predictors, 3D convolutional neural networks (CNN) for image analysis, machine learning, deep learning
FDA Clearances	1 cleared products (estimated)

What Physicians Need to Know

Healthcare AI & Medical Imaging

InformAI develops enterprise AI software for healthcare, with a strong focus on medical imaging, particularly in radiology and CT diagnostics. Their AI solutions are designed to enhance radiologist productivity and accelerate medical diagnoses at the point-of-care. They offer AI-enabled image classifiers and patient outcome predictors.

Radiology & CT Diagnostics

InformAI's products, such as SinusAI, advance CT imaging diagnostics with AI-enabled precision and efficiency, assisting in the detection of sinus diseases. Their image classifiers can scan 3D CT scans for conditions and flag potential issues. They also offer VoluQuant for AI-driven automated segmentation, labeling, visualization, and volumetric quantification of abdominal and thoracic organ structures from CT images.

Radiation Oncology

InformAI specializes in radiation oncology planning with their flagship product, RadOncAI. RadOncAI is an FDA 510(k)-cleared software-as-a-medical-device that enables AI-driven radiation therapy, generating optimized radiation plans to target tumors while minimizing exposure to healthy tissues. This significantly shortens clinical planning time.

Transplant Informatics

InformAI's TransplantAI is an AI-powered donor-recipient informatics platform that provides granular, AI-powered transplant decisions at the point of care. It leverages machine learning and deep learning from millions of donor transplants and over 500 clinical parameters per organ, including CT images, to improve organ allocation efficiency, reduce organ discard, and predict transplant outcomes. TransplantAI has received significant funding from the National Institutes of Health (NIH) and the National Science Foundation (NSF).

Predictive Analytics & Clinical Decision Support

InformAI utilizes predictive analytics to assist clinicians in diagnosing medical conditions and improving patient treatment plans. Their AI-driven clinical software is designed to generate fit-for-purpose clinical decision support that can integrate into hospital workflows. They build risk predictors that provide additional insights to surgeons and clinicians regarding surgical procedure risks, such as mortality and readmission.

Physician Tip

InformAI's solutions are designed to be 'clinician co-pilots,' providing data-driven insights at the point of care to expedite decision-making and improve patient outcomes. Their focus on targeted, 'fit-for-purpose' solutions for specific clinical pain points, rather than one-size-fits-all AI, means physicians can expect tools highly relevant to their specialty. The enterprise-grade integration capabilities ensure these tools can plug into existing hospital workflows and reimbursement pathways, minimizing disruption. Physicians can leverage InformAI's AI to streamline workflows, accelerate diagnoses, optimize treatment planning, and gain predictive insights for complex decisions like organ matching.

InformAI develops scalable, enterprise software intended to integrate into hospital workflows and existing reimbursement frameworks. They partner with leading medical institutions within the Texas Medical Center, national physician groups, and leading medical imaging companies. InformAI is also a technology partner with Nvidia's Inception Program, Microsoft for Startups, and Amazon Activate. Their products are designed to integrate into hospital workflows, supporting real-world deployment.

At a glance

Founded 2017

HQ Houston, Texas, USA · United States

Team size Fewer than 25 employees

CEO Jim Havelka

Funding Seed — $2.0M

FDA clearances 1 (estimated)

Products by Informai

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What the Web Says

Informai, also referred to as Inform AI, offers AI-powered solutions primarily for review management and healthcare. The company's product, Inform AI, focuses on automating responses to online reviews and providing sentiment analysis for businesses. In the healthcare sector, InformAI develops AI solutions for medical diagnostics, radiation therapy planning (RadOncAIu2122), and organ transplantation (TransplantAI), with RadOncAIu2122 having received FDA clearance. Employer reviews for Informa (a broader entity that appears to encompass Informai/Inform AI) indicate a generally positive work environment with good work-life balance and flexible hours, though some concerns exist regarding management, compensation, and career advancement.

Overall: Mixed

Strengths

Automated and human-sounding replies to online reviews.
Provides actionable insights and sentiment analysis from customer feedback.
Healthcare AI solutions aim to enhance diagnostic accuracy and efficiency.
RadOncAIu2122 is FDA-cleared for radiation therapy dose planning, offering optimized plans in less time.
Generally positive work environment with good teams and healthy culture (for Informa).
Flexible working hours and good benefits package (for Informa).

Limitations

Limited product reviews available for Inform AI on G2 and Capterra.
InformaOne is considered not highly differentiated and its pricing could be more competitive.
Some employer reviews mention issues with management, lack of recognition, and low compensation (for Informa).
Concerns about workload being too high and outdated technology (for Informa).
Job security and advancement are rated lower by some employees (for Informa).
Too much office politics and departmentalization, with management not always open to new ideas (for Informa).

Based on reviews from: Comparably, Indeed.com, G2, Capterra, InformAI Website, EINPresswire.com

Last updated: 2026-09-23

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Press & Coverage

EIN Presswire

InformAI Receives FDA 510(k) Clearance for AI Radiation Dose Planning Software

InformAI, Inc. announced it received 510(k) approval from the U.S. Food and Drug Administration (FDA) to market RadOncAIu2122, an AI-enabled software for radiation therapy dose planning for head & neck cancer patients. This clearance allows InformAI to market and distribute both cloud- and on-premise-hosted RadOncAI products in the United States.

2026-07

EIN Presswire

InformAI Secures $2.2M NIH Grant for Innovative AI Solution, TransplantAI

InformAI, Inc. was awarded a $2.2 million Phase I/II Fast-Track grant from the National Institutes of Health (NIH) to support TransplantAI, an AI solution addressing organ scarcity, discard, and allocation inefficiency in transplantation. The grant will fund heart and lung algorithm development and commercialization of TransplantAI.

2024-02

InformAI News

InformAI Receives Supplemental CPRIT Grant for Product Commercialization

InformAI received a supplemental product development grant of $465,188 from the Cancer Prevention and Research Institute of Texas (CPRIT) to support the development and commercialization of its RadOncAI: AI guided dose prediction platform for radiation oncology.

2025-10

EIN Presswire

Jeff Hopkins Joins InformAI As Strategic Advisor

InformAI, Inc. announced the addition of Jeff Hopkins as a strategic advisor to support product and market strategy for SinusAI, the company's sinus detection software-as-a-medical device platform. Hopkins previously served as Worldwide President of Acclarent, Johnson & Johnson's global ENT medical device business.

2024-04

InformAI

Digital Health Technology Company InformAI Closes $1.8M Funding Round Led by DEFTA Partners

Houston-based InformAI closed a $1.8 million funding round led by DEFTA Partners to introduce AI healthcare applications that assist physicians in speeding up medical diagnosis at the clinical point-of-care. Additional investors include Joyance Partners and Social Starts.

2020-06

InformAI Publications

XGBoost Outperforms Traditional Transplant Regulatory Models Based on Regression

A publication by Pettit RW, Cione NJ, Marlatt BB, et al. in Annals of Surgery Open discusses how XGBoost models demonstrate superior performance compared to traditional regression-based models in predicting transplant outcomes.

2026-09

PMC

Effectiveness of Informed AI Use on Clinical Competence of General Practitioners and Internists: Pre-Post Intervention Study

This study examined the effect of informed AI use on the clinical competence of general practitioners and internists, finding that it was associated with higher clinical decision-making scores and increased confidence in incorporating AI into practice.

2026-02

European Journal of Medical Research

Artificial intelligence in healthcare and medicine: clinical applications, therapeutic advances, and future perspectives

This article discusses the transformative role of AI in healthcare, covering its applications in diagnostics, treatment planning, patient monitoring, and efficiency, and highlighting its potential to address challenges like rising costs and workforce shortages.

2025-09

Frequently Asked Questions

What specific AI solutions does Informai offer for medical imaging and radiology, and how do they integrate with existing PACS/RIS systems?

Informai provides AI-powered solutions designed to enhance medical imaging analysis in radiology, including tools for automated detection, quantification, and characterization of abnormalities in various imaging modalities like CT. Our solutions are built to seamlessly integrate with existing PACS and RIS systems through standard protocols such as DICOM and HL7, minimizing disruption and maximizing workflow efficiency for physicians and healthcare administrators.

How does Informai ensure the accuracy, reliability, and clinical validation of its AI models, particularly in critical areas like CT diagnostics and radiation oncology?

Informai prioritizes the accuracy and reliability of its AI models through rigorous development and validation processes. Our models undergo extensive training on diverse, high-quality datasets and are clinically validated through retrospective and prospective studies, often in collaboration with leading medical institutions. We also provide transparent performance metrics and explainable AI features to build trust and support clinical decision-making in areas like CT diagnostics and radiation oncology.

What is Informai's approach to data privacy, security, and regulatory compliance (e.g., HIPAA, GDPR, FDA) for its healthcare AI products, especially concerning patient data in transplant informatics?

Informai adheres to the highest standards of data privacy and security, implementing robust encryption, access controls, and anonymization techniques to protect sensitive patient information. Our products are designed and developed in compliance with major healthcare regulations such as HIPAA, GDPR, and relevant FDA guidelines, ensuring that patient data, particularly in sensitive areas like transplant informatics, is handled with the utmost care and legal adherence.

Can you elaborate on Informai's predictive analytics and clinical decision support tools? How do they assist physicians and administrators in improving patient outcomes and operational efficiency?

Informai's predictive analytics and clinical decision support tools leverage AI to analyze vast amounts of patient data, identifying patterns and predicting potential health risks or treatment responses. These tools provide actionable insights to physicians for earlier intervention and personalized care, and to administrators for optimizing resource allocation and improving operational efficiency, ultimately contributing to better patient outcomes.

What is the pricing structure for Informai's solutions, what kind of ongoing support and training can we expect, and what is the company's long-term stability and partnership strategy?

Informai offers flexible pricing models tailored to the specific needs and scale of healthcare organizations, which can include subscription-based or per-study fees. We provide comprehensive ongoing support, including technical assistance, regular software updates, and continuous training programs for clinical and IT staff. Informai is committed to long-term stability, fostering strategic partnerships with healthcare providers and technology companies to continuously innovate and expand our offerings.

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