Products

Endobits
Bio-Conscious Technologies Inc.
Clinical Decision Support & Reference
Endobits is an automated decision-support platform for diabetes and metabolic health that collects real-time data from various devices, EMRs, and EHRs to triage patients and prioritize those needing intervention.

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About Bio-Conscious Technologies

Bio-Conscious Technologies is a healthcare AI company dedicated to transforming glucose data into actionable insights for proactive health management. Their flagship platform, Endobits, is a clinician-facing tool that aggregates continuous glucose monitoring (CGM) data and applies multi-layered AI models to forecast glucose events. This allows for the prioritization of patients by risk and provides decision support and automated documentation, ultimately aiming to prevent complications and improve outcomes for individuals with metabolic diseases like diabetes.

The Endobits platform is designed to shift clinical care from a reactive to a proactive approach by identifying and preventing disease altogether. It integrates data from various CGM devices, including Dexcom Share, Freestyle Libre, MiaoMiao 2, and Nightscout, and analyzes factors such as blood sugar levels, insulin doses, meals, exercise, and clinical test results. The system also clusters patients into distinct “glucotypes” based on the shape, timing, variability, and trajectory of their glucose curves, providing a more personalized understanding of metabolic phenotypes beyond just average glucose readings.

For physicians, Endobits offers a secure web portal that provides real-time patient information and prioritizes those at higher medical risk, enhancing remote patient monitoring and potentially reducing the need for unnecessary in-person appointments. The company’s AI-driven solutions have been presented at scientific sessions and aim to enhance therapeutic care, early intervention, and the understanding of metabolic health.

Focus Areas

AI-driven continuous glucose monitoring predictive analytics for metabolic health remote patient monitoring clinical decision support systems diabetes management dysglycemia machine learning model development in healthcare EHR/EMR interoperability

Business Intelligence

Key InvestorsSFU VentureLabs
PartnershipsDexcom, Premier Health Group
Acquisitionsunknown
TechnologyCloud-native, AI operating system, deep learning for time-series forecasting, machine learning for event prediction, large language models (LLMs), API-based integrations, EHR/EMR interoperability, automated clinical documentation and billing tools, enterprise-grade encryption, PostgreSQL backend
FDA Clearancesunknown cleared products (estimated)

What Physicians Need to Know

Specialization
AI-driven continuous glucose monitoring (CGM), predictive analytics for metabolic health, remote patient monitoring, clinical decision support systems, diabetes management, and dysglycemia.
Key Differentiators
Bio-Conscious Technologies offers 'Prevention-as-a-Serviceu2122' by using AI to predict and prevent metabolic disease before clinical diagnosis. Their Endobits platform aggregates CGM data, applies multi-layered AI models to forecast glucose events, prioritizes patients by risk, and provides decision support and automated documentation. They predict blood glucose levels 60 minutes into the future, a significant improvement over industry standards. They also cluster patients into four 'glucotypes' based on glucose curve shape, offering more nuanced risk assessment than average glucose readings.
Technology Stack
Their technology stack includes deep learning for time-series forecasting, machine learning for event prediction, large language models (LLMs), CGM data ingestion, API-based integrations, EHR/EMR interoperability, and cloud-based analytics and remote monitoring platforms. The Endobits platform utilizes Next.js, TypeScript, Tailwind, Framer Motion, and a PostgreSQL backend.
Clinical Focus
They focus on proactive health management, early intervention, and understanding metabolic health. Their solutions aim to predict, prevent, and manage chronic diseases by integrating CGM data with advanced AI algorithms. They also emphasize data security and regulatory compliance (HIPAA / ISO).
Physician Tip

For physicians, Bio-Conscious Technologies' Endobits platform offers automated CGM monitoring with a ranked worklist, rather than an overwhelming number of alerts, allowing for efficient patient prioritization. It provides decision support at the point of care, surfacing guideline-aligned next steps for diabetes management. The platform automates remote patient monitoring (RPM) services, including documentation and billing, which can increase clinical income and reduce administrative burden. Endobits can review an entire patient panel in seconds, significantly reducing the time clinicians spend on manual CGM chart review (which can take up to 45 minutes per patient). This allows specialists to focus on complex cases and helps clear backlogs without requiring new hires. The AI-driven insights can integrate directly with existing EHR systems, facilitating data-driven care coordination. The platform is also CGM-agnostic, compatible with devices from Dexcom, Abbott, and Senseonics.

Bio-Conscious Technologies emphasizes EHR/EMR interoperability and offers API integration services to connect clinical systems and third-party CGM data sources into electronic health records and analytics pipelines. The Endobits platform integrates with major EMR and EHR systems. They are compatible with continuous glucose monitors including Dexcom Share, Freestyle Libre, MiaoMiao 2, and Nightscout.

Products by Bio-Conscious Technologies

1 product in the directory

Endobits
Bio-Conscious Technologies Inc.
Clinical Decision Support & Reference
Endobits is an automated decision-support platform for diabetes and metabolic health that collects real-time data from various devices, EMRs, and EHRs to triage patients and prioritize those needing intervention.

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Press & Coverage

Newswire.ca
Accelerating commercialization and adoption of AI and quantum technologies in British Columbia
Bio-Conscious Technologies received a $1,500,000 investment from PacifiCan to support the commercialization of its Endobits AI platform for diabetes management in hospitals across Canada and the United States. This funding aims to create jobs, deliver new digital health solutions, and improve diabetes care.
2026-05
GlobeNewswire
Bio Conscious Technologies Launches Endobits Smart Patient Management Platform
Bio Conscious Technologies Inc. launched its Endobits platform, a secure web portal that uses machine learning to predict and manage diseases like diabetes by providing doctors with real-time patient information and prioritizing those at medical risk. The platform aggregates and interprets data from the Endobits companion app, compatible with various continuous glucose monitors.
2020-05
MTEC
BioConscious Announces Strategic API Integration with Dexcom
BioConscious announced a strategic partnership to integrate Dexcom's real-time glucose data, aiming to enhance personalized diabetes care. This integration is part of Bio Conscious's ongoing efforts to develop AI-driven solutions for metabolic health.
unknown
MTEC
Bio Conscious Announces Integration of GPT-4 into Endobits V5
Bio Conscious has integrated GPT-4 into its Endobits V5 platform, creating an industry-leading continuous glucose monitoring (CGM) platform for diabetes care. This enhances the platform's ability to provide advanced insights and decision support.
unknown
Journal of Medical Internet Research (JMIR mHealth and uHealth)
The Diabits App for Smartphone-Assisted Predictive Monitoring of Glycemia in Patients With Diabetes: Retrospective Observational Study
This retrospective observational study published in JMIR mHealth and uHealth examines the Diabits app, an AI-powered smartphone application for blood glucose monitoring and predictions in diabetes patients. The study found that increased frequency of app use correlated with improved blood glucose control metrics.
2020-09
MD+DI
New App Predicts Blood Glucose Levels 60 Minutes into the Future
Bio Conscious Technologies' Diabits AI algorithm demonstrated its ability to provide 60-minute blood glucose value predictions, an improvement over existing CGM systems. This allows for more proactive management of blood sugar levels for people with diabetes.
2020-06
GlobeNewswire
Premier Health Partnering with Bio Conscious Technologies to bring AI Powered Remote Patient Monitoring to its App
Premier Health Group announced a partnership with Bio Conscious Technologies to integrate their AI-powered DiaBits technology into Premier Health's telemedicine app. This collaboration aims to improve chronic disease management, particularly for diabetes, through proactive glucose level predictions.
2019-03
SFU VentureLabs
Using sound data to identify COVID-19 with Bio Conscious' Endobits
Bio Conscious Technologies was developing an addition to its Endobits platform to use an algorithm for identifying possible COVID-19 cases based on sound data, such as a patient's cough. This initiative aimed to expand Endobits' capabilities beyond diabetes management to remote monitoring for COVID-19.
2020-05

Frequently Asked Questions

Bio-Conscious Technologies offers Endobits, a clinical decision support software for continuous glucose monitoring (CGM) that integrates data from Dexcom, Abbott, and Senseonics sensors. They also previously launched the Diabits app, an AI-powered glucose prediction app for patients.
Bio-Conscious Technologies uses AI to model the shape, timing, variability, and trajectory of glucose curves, identifying abnormal glucose behavior (dysglycemia) before it meets the threshold for diabetes. Their Endobits platform forecasts glucose up to 12 hours ahead and clusters patients into distinct 'glucotypes' based on their glucose curve shape, enabling personalized and preventive care.
Bio-Conscious Technologies' Endobits platform provides automated remote patient monitoring by ingesting CGM data, triaging patients by risk, and generating billable actions under Medicare CPT codes. This helps clinics manage chronic patients remotely, generate revenue, and provides patients with proactive management of their glucose levels to prevent severe events.
Bio-Conscious Technologies' Endobits platform is designed to be CGM-agnostic and EHR-integrated, running on existing infrastructure without requiring a 'rip-and-replace' approach. They are actively integrating Endobits into major EMR/EHR platforms in the USA and Canada to simplify data interoperability and improve clinical workflows.
Bio-Conscious Technologies emphasizes data security and regulatory compliance, including HIPAA and ISO standards, in their expertise areas. Their focus is on providing secure and scalable AI solutions for proactive health management.
Bio-Conscious Technologies has established strategic partnerships with industry leaders like Dexcom for seamless integration of real-time glucose data. They have also partnered with Premier Health. The company was founded in 2015, is based in Vancouver, Canada, and has received funding.
While specific pricing details are not publicly available, Bio-Conscious Technologies' Endobits platform is designed to generate revenue for clinics through reimbursement-aligned remote patient monitoring under Medicare CPT codes. They offer clinical decision support software for qualified healthcare professionals.

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