Name

See-Mode Technologies

Legal name

See-Mode Technologies Pte Ltd

Website

https://see-mode.com

Company type

Private

Founded year

2018

Operating status

Acquired

Headcount range

11–50 employees

Ownership category

akta.pro rank

Product category

Medical Imaging AI Software

NAICS

Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (33451)

SIC

Surgical & Medical Instruments & Apparatus (3841)

akta.pro primary industry

Radiology AI, CAD & Advanced Visualization Software (HLAHABAJ)

akta.pro secondary industries

Medical Imaging AI (HDAAAEAH), Imaging Interoperability & Standards Enablement (DICOM/HL7/FHIR/IHE) (HLACALAJ), Teleradiology Platforms & Reading Workflow (HLACALAK)

Keywords

• Medical imaging AI
• Ultrasound reporting
• Thyroid nodule detection
• Breast lesion analysis
• Radiology automation

Headquarters

HQ city

Singapore

HQ country

Singapore

HQ region

Asia

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Operations, Infrastructure

Revenue model

1. AI-Powered Ultrasound Software Licensing: See-Mode generates revenue through licensing its FDA-cleared AI software for thyroid and breast ultrasound analysis to healthcare providers, imaging clinics, and teleradiology groups. The company operates as part of DeepHealth (RadNet's digital health division) following acquisition in June 2025.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels5 records

Core offering

See-Mode Technologies develops FDA-cleared AI-powered software that automatically analyzes ultrasound images to detect, size, and characterize thyroid nodules (per ACR TI-RADS guidelines) and breast lesions (per ACR BI-RADS guidelines). The platform generates complete sonographer worksheets and pre-populates radiologist report templates, integrating with PACS/RIS systems and partner platforms to streamline radiology workflows.

Product overview

See-Mode Technologies offers AI-enhanced ultrasound reporting solutions organized around two core products—Thyroid and Breast—that work within a unified Workflow platform. The Thyroid product provides automatic nodule detection and characterization according to ACR TI-RADS guidelines, while the Breast product identifies lesions and automates BI-RADS reporting. Both products integrate through the Workflow platform, which offers sonographer worksheets, radiologist viewers, and API integration for seamless connectivity with existing healthcare systems and platform partners.

Differentiator

Problem solved

Functional benefit

Products and services

• Thyroid Ultrasound AI AI-powered thyroid ultrasound reporting solution that automatically detects, sizes, and characterizes thyroid nodules according to ACR TI-RADS guidelines, producing complete TI-RADS sonographer worksheets and preliminary radiologist impressions. Designed for sonographers, radiologists, imaging clinics, and teleradiology groups.
• Breast Ultrasound AI AI-powered breast ultrasound reporting solution that identifies breast lesions in ultrasound imaging and automates BI-RADS reporting, including characteristics and suspicion level assessment. Reduces inter-operator variability and reporting errors for radiologists and imaging centers.
• Workflow Integration Platform Suite of workflow integration solutions including enhanced sonographer experience (automated reporting), streamlined radiologist experience (radiologist viewer), and API integration for outpatient clinics and teleradiology groups. Enables seamless connectivity with existing healthcare systems, PACS, RIS, and platform partner solutions.

Quantifiable outcome

• Up to 30% reduction in scan time
• +4 more outcomes

Named customers2 records

Segments4 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration4 records

AI capability4 records

Feature9 records

Partnerships

Six partnerships are on record, tiered flagship and core.

• RadNet / DeepHealthflagshipStrategic or Co-development Partner · 4 June 2025RadNet, Inc. (NASDAQ: RDNT) acquired See-Mode Technologies in June 2025 for innovation in AI-powered ultrasound diagnostics. The acquisition integrates See-Mode's FDA-approved AI technology into DeepHealth, RadNet's digital health subsidiary. Early deployment across 12 RadNet imaging centers demonstrated up to 30% reduction in scan time. The technology is being integrated across RadNet's network of over 900 ultrasound units.
• BlackfordcoreTechnology or IntegrationBlackford is a platform partner offering See-Mode's AI-powered ultrasound reporting integration. Outpatient clinics can access See-Mode's automated worksheet capabilities through Blackford's radiology platform.
• CARPLcoreTechnology or IntegrationCARPL serves as a platform partner providing access to See-Mode's AI technology. Healthcare providers using CARPL's platform can integrate See-Mode's automated thyroid and breast ultrasound reporting capabilities.
• Ferrum HealthcoreTechnology or IntegrationFerrum Health is a platform partner enabling access to See-Mode's AI-powered ultrasound reporting. The integration allows outpatient clinics to leverage See-Mode through Ferrum Health's healthcare AI platform.
• Synthesis HealthcoreTechnology or IntegrationSynthesis Health provides platform access to See-Mode's AI solutions. Outpatient clinics using Synthesis Health's platform can integrate See-Mode's automated worksheet capabilities for improved radiology workflows.
• Altus Medical ImagingcoreTechnology or IntegrationAltus Medical Imaging partners with See-Mode to deliver consistently high-quality thyroid ultrasounds. Radiologists at Altus use See-Mode's AI to ensure the highest level of care for patients and provide accurate, reliable results for referrers.

Scale indicators6 records

Recent moves6 records

Expansion highlights6 records

Direct peers

• Arterys: Arterys (now part of Tempus) provides cloud-native AI medical imaging platform for radiology workflows, including ultrasound and MRI interpretation. It is comparable as an AI imaging software vendor targeting radiology workflows with cloud-based deployment models.
• Volpara Health: Volpara develops AI software for breast imaging, including automated breast density assessment and mammography reporting. It is the most direct competitor to See-Mode's breast ultrasound BI-RADS automation, targeting the same radiology customer base with overlapping AI-driven reporting workflows.
• Lunit: Lunit develops AI for medical imaging, including Lunit INSIGHT for mammography and Lunit SCOPE for biomarker analysis. It is a direct competitor in AI-augmented radiology reporting with FDA-cleared products targeting breast cancer detection in a comparable customer base of imaging clinics and hospitals.
• iCAD: iCAD provides AI-powered breast cancer detection and risk assessment solutions (ProFound AI), primarily for mammography with extensions to DBT and breast ultrasound. It directly competes in breast imaging AI reporting and shares the same clinical guidelines (BI-RADS) integration approach as See-Mode.

Broad incumbents

• GE HealthCare: GE HealthCare's Edison AI platform and ultrasound division offer embedded AI features for radiology reporting and workflow. As a broad incumbent with a massive installed base of ultrasound machines, GE HealthCare represents both a competitor and a potential distribution partner for AI ultrasound automation.
• Hologic: Hologic is a major women's health medical device company whose mammography and breast ultrasound systems increasingly embed AI-driven reporting capabilities. As a broad incumbent, Hologic competes with See-Mode at the imaging-suite level rather than as a standalone AI software vendor.
• Philips (Image-Guided Therapy / Ultrasound): Philips offers ultrasound systems with AI-augmented reporting features and an enterprise imaging portfolio. As a broad incumbent in medical imaging, Philips competes for AI workflow integration budgets and could bundle similar capabilities into its ultrasound installed base.

Others

• Blackford Analysis: Blackford is both a See-Mode platform partner and an AI imaging marketplace operator. It is comparable as an enabler/distributor that integrates third-party AI imaging algorithms (including See-Mode's) into clinical workflows for radiology customers.
• Ferrum Health: Ferrum Health is a healthcare AI platform that curates and deploys third-party AI algorithms, including See-Mode's. It is comparable as a distribution and integration partner that exposes See-Mode's capabilities to a broader hospital and clinic customer base.
• DeepHealth (parent): DeepHealth is RadNet's digital health subsidiary and now See-Mode's parent company. It is comparable as the integrating platform for population-scale AI imaging deployment and serves as the corporate vehicle through which See-Mode's technology reaches end users.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/see-mode-technologies

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds4 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about See-Mode Technologies