mlHealth 360
mlHealth 360 is a private Canadian healthtech company that develops cloud-native AI medical imaging software — including FDA-cleared intracranial hemorrhage triage and CT anomaly detection — for hospital radiology departments, emergency units, and public health systems.
- Company typePrivate
- Founded2023
- HeadquartersNorth Surrey, Canada
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What mlHealth 360 does
mlHealth 360, Inc. is a private Canadian healthtech company founded in 2023 and headquartered in Surrey, British Columbia, with an engineering and development office in Jaipur, India. The company develops cloud-native, cloud-agnostic AI software for radiology workflows, addressing radiologist burnout, emergency imaging backlogs, and the need for faster triage of life-threatening findings. Its primary offerings center on a platform-plus-modules architecture: a core Imaging Workflow product (a cloud-based RIS/PACS supporting HL7 ORM/ORU messaging, FHIR, and HIS/PACS interoperability) and the Scaida suite of AI diagnostic modules — Scaida BrainCT (semantic segmentation of non-contrast head CT), Scaida BrainCT-ICH (FDA 510(k)-cleared intracranial hemorrhage triage detecting five hemorrhage subtypes), and Scaida DetectCT (3D CNN-based multi-body-part anomaly detection). A vision-language transformer-powered GenAI Reporting Tool generates structured diagnostic reports (BLEU Score 50+), and a partnership with NeuroCatch adds EEG-based cognitive function measurement to form a "Complete Brain Care" bundle.
The company sells to hospital systems, radiology departments, and emergency/trauma units via a consultative enterprise field-sales motion, with pricing not publicly disclosed and a "Request A Demo" contact form as the primary engagement mechanism. Revenue is generated through SaaS/licensing of FDA-cleared AI imaging modules integrated into existing PACS/HIS infrastructure. Headcount is in the 11–50 range, and while no institutional funding rounds are disclosed in the input data, the company has executed a government-level pilot covering 10 district hospitals in Madhya Pradesh, India, signaling traction in public-health deployments alongside its U.S. market entry anchored by the December 2025 FDA 510(k) clearance of BrainCT-ICH (K250694) — positioning mlHealth 360 as the first Canadian-developed AI solution cleared for ICH triage in the United States.
mlHealth 360 firmographics
Firmographics- Name
- mlHealth 360
- Legal name
- mlHealth 360, Inc.
- Website
- https://mlhealth360.com
- Company type
- Private
- Founded year
- 2023
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- mlHealth 360 is a private Canadian healthtech company that develops cloud-native AI medical imaging software — including FDA-cleared intracranial hemorrhage triage and CT anomaly detection — for hospital radiology departments, emergency units, and public health systems.
- Ownership category
- akta.pro rank
mlHealth 360 industry classification
Industry- Product category
- AI Medical Imaging Software
- NAICS
- Software Publishers (513210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- AI Orchestration & Imaging Analytics Platforms (Model Management/Triage) (HLACALAG)
- akta.pro secondary industries
- Radiology AI, CAD & Advanced Visualization Software (HLAHABAJ), SaMD – Imaging & Signal Analysis (AI/ML) (HLACANAG), Vendor Neutral Archive (VNA) & Enterprise Imaging Repositories (HLACALAC)
Keywords
Where mlHealth 360 is headquartered
LocationHeadquarters
- HQ city
- North Surrey
- HQ country
- Canada
- HQ region
- North America
Offices2 records
Markets served
mlHealth 360 business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Operations, Marketing or Sales, Infrastructure
Revenue model
- AI Medical Imaging Software Licensing/Subscription: SaaS or perpetual license model for FDA-cleared AI imaging modules (Scaida BrainCT-ICH, BrainCT, DetectCT) sold to hospital systems and radiology departments. The company offers enterprise sales motion with demo-driven engagement, suggesting B2B subscription or license contracts rather than self-serve pricing. Integration into hospital PACS/HIS infrastructure implies recurring licensing with potential per-study or per-seat components.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels2 records
mlHealth 360 product offering
Product offeringCore offering
mlHealth 360 develops cloud-native, FDA-cleared AI medical imaging software for radiology workflows. Its portfolio includes the Imaging Workflow RIS/PACS platform and the Scaida suite of AI modules (BrainCT, BrainCT-ICH, DetectCT) that detect anomalies and triage intracranial hemorrhage on CT scans, plus a GenAI-powered structured reporting tool and a NeuroCatch functional brain vital signs integration.
Product overview
mlHealth 360 offers a platform-plus-modules architecture built around its Imaging Workflow as the core cloud-based RIS/PACS infrastructure for managing patient data, imaging studies, and diagnostic workflows. This platform serves as the interoperability foundation, integrating via HL7 ORM/ORU messaging, FHIR, and HIS/PACS. The Scaida suite of AI diagnostic modules — DetectCT (multi-body anomaly detection), BrainCT (brain segmentation), and BrainCT-ICH (intracranial hemorrhage triage, FDA-cleared) — plug into this core platform alongside the GenAI Reporting Tool for automated structured report generation. The NeuroCatch Platform complements the imaging stack by adding functional brain vital signs via portable EEG, forming a unified Complete Brain Care solution that connects structural imaging with cognitive function measurement.
Differentiator
Problem solved
Functional benefit
Brands
- Scaida: AI-powered medical imaging product line including BrainCT, BrainCT-ICH, and DetectCT modules for radiology diagnostics.
- Imaging Workflow
- NeuroCatch Platform
Products and services
- Imaging Workflow Platform A comprehensive, cloud-based Radiology Information System (RIS) and Picture Archiving and Communication System (PACS) solution that manages patient data, imaging studies, and diagnostic workflows securely and efficiently, with native HL7 ORM/ORU messaging, FHIR compatibility, and seamless HIS/PACS interoperability. Targeted at hospital radiology departments and emergency/trauma units.
- Scaida BrainCT-ICH FDA 510(k)-cleared (K250694) AI-powered triage solution for rapid detection of intracranial hemorrhage from non-contrast head CT scans. Identifies five hemorrhage subtypes (IPH, SDH, IVH, SAH, EDH) using slice-by-slice analysis, with average processing time of 5.97 seconds, specificity of 0.887, sensitivity of 0.867, and AUC of 0.926. Designed for radiologists in emergency/trauma and stroke settings.
- Scaida BrainCT Advanced AI module built to assist neuroradiologists in interpretation of non-contrast brain CT scans. Powered by deep learning and semantic segmentation, it delivers pixel-level insights into brain structures and pathology for faster diagnosis of structural anomalies, early signs of stroke, and infarcts.
- Scaida DetectCT AI module that automates detection of anomalies in CT scans across multiple body parts including chest, head, shoulder, neck, abdomen, pelvis, extremities, and spine, using 3D CNN-based predictions with abnormality detection in under 3 minutes per scan. Compatible with HIS and PACS.
- NeuroCatch Platform A portable EEG-based platform that complements imaging data by quantifying cognitive function at the point of care through a 6-minute automated auditory test, measuring three core metrics: auditory sensation, basic attention, and cognitive processing. Provides a functional baseline alongside structural CT diagnosis as part of a Complete Brain Care solution.
Quantifiable outcome
- Average processing time of 5.97 seconds for intracranial hemorrhage detection from head CT scan acquisition
- +4 more outcomes
Companies that use mlHealth 360
Customer profileNamed customers2 records
Segments2 records
Ideal customer profiles2 records
mlHealth 360 technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration4 records
AI capability7 records
Feature5 records
mlHealth 360 partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- NeuroCatchcoremlHealth 360 and NeuroCatch® entered a strategic partnership to combine advanced CT imaging with rapid brain function measurement. NeuroCatch's portable EEG-based headset quantifies cognitive function (auditory sensation, basic attention, cognitive processing) in 6 minutes at the point of care. The partnership integrates NeuroCatch's functional brain vital signs data with mlHealth 360's structural CT imaging, providing a comprehensive brain care solution bridging structural and functional brain health assessment.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
mlHealth 360 competitors and assessment
Company assessmentBroad incumbents
- DeepHealth (RadNet): DeepHealth, acquired by RadNet, provides an AI-powered operating system for radiology including workflow orchestration and detection — competing at both the AI module and the underlying RIS/PACS workflow layer where mlHealth 360's Imaging Workflow plays.
- Nanox AI (formerly Zebra Medical Vision): Nanox AI offers population-health and imaging AI algorithms across multiple body parts and modalities, providing an alternative multi-body CT AI platform comparable to Scaida DetectCT and the broader mlHealth 360 detection portfolio.
Direct peers
- Aidoc: Aidoc offers a broad FDA-cleared AI radiology suite covering ICH, PE, stroke, and multi-body CT anomaly detection — directly competing with both Scaida BrainCT-ICH and Scaida DetectCT, and the underlying AI orchestration/workflow layer.
- Qure.ai: Qure.ai develops AI for chest CT, head CT (ICH/stroke), and tuberculosis screening, with strong emerging-market and government-system deployments comparable to mlHealth 360's India pilot model.
- Viz.ai: Viz.ai is a direct competitor in AI-powered stroke and ICH triage, offering FDA-cleared modules that flag suspected large-vessel occlusion and hemorrhage on CT and alert neurointerventional teams — overlapping directly with mlHealth 360's Scaida BrainCT-ICH.
- RapidAI: RapidAI provides AI imaging software for stroke, ICH, and PE triage, integrated with PACS/HIS workflows. Its ICH and CT perfusion modules target the same radiology and emergency departments as mlHealth 360's Scaida suite.
Emerging players
- Annalise.ai: Annalise.ai offers comprehensive AI chest X-ray and CT triage/detection modules integrated into PACS workflows — overlapping with Scaida DetectCT's multi-body CT anomaly detection use case.
- Blackford Analysis: Blackford Analysis provides an AI orchestration and routing platform for radiology (similar positioning to mlHealth 360's Imaging Workflow) plus curated third-party detection algorithms layered onto PACS.
- Subtle Medical: Subtle Medical applies deep learning to medical imaging enhancement and workflow acceleration, targeting similar radiology efficiency and AI-powered workflow themes as mlHealth 360's Scaida and GenAI reporting stack.
Regional players
- Synapsica: India-based Synapsica builds AI for radiology reporting and spine/chest X-ray analysis, primarily serving South Asian hospital markets — directly comparable to mlHealth 360's India go-to-market motion in Madhya Pradesh.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
mlHealth 360 social profiles
Digital presencemlHealth 360 compliance and trust
Trust signalCompliance1 record
mlHealth 360 financial estimates
Financial estimateRevenue estimate
Valuation estimate
mlHealth 360 leadership team
Management profileNumber of profiles
Profiles2 records
mlHealth 360 funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
mlHealth 360 M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about mlHealth 360
What does mlHealth 360 do?
mlHealth 360 develops cloud-native, FDA-cleared AI medical imaging software for radiology workflows. Its portfolio includes the Imaging Workflow RIS/PACS platform and the Scaida suite of AI modules (BrainCT, BrainCT-ICH, DetectCT) that detect anomalies and triage intracranial hemorrhage on CT scans, plus a GenAI-powered structured reporting tool and a NeuroCatch functional brain vital signs integration.
Is mlHealth 360 a public or private company?
mlHealth 360 is a private company. It is classified as venture growth investor backed and is currently operating.
When was mlHealth 360 founded?
mlHealth 360 was founded in 2023. It employs 11 to 50 people.
Where is mlHealth 360 based?
mlHealth 360 is headquartered in North Surrey, Canada, in the North America region.
How does mlHealth 360 make money?
One revenue line is on record: AI Medical Imaging Software Licensing/Subscription.
Who are mlHealth 360's main competitors?
Broad incumbents on record are DeepHealth (RadNet) and Nanox AI (formerly Zebra Medical Vision). Direct peers are Aidoc, Qure.ai, Viz.ai and RapidAI. Emerging players are Annalise.ai, Blackford Analysis and Subtle Medical. Synapsica is listed as a regional player.
Does mlHealth 360 have an API?
No public API is recorded for mlHealth 360.
What industry is mlHealth 360 in?
mlHealth 360's product category is AI Medical Imaging Software. Its primary akta.pro industry code is HLACALAG, AI Orchestration & Imaging Analytics Platforms (Model Management/Triage), with a secondary code of HLAHABAJ, Radiology AI, CAD & Advanced Visualization Software. Its NAICS code is 513210 and its SIC code is 7372.