See Mode
AcquiredEntrepreneur First '17Singapore, SG · Founded 2017 · 4 known investors
See-Mode develops software that applies AI and computational fluid dynamics to CT and MRI scans in order to estimate a patient's stroke risk. It is built to run within existing hospital imaging workflows, so clinicians can obtain these assessments from scans already acquired rather than ordering new imaging.
Also known as See-Mode · See-Mode Technologies
Founders & leadership
See Mode was founded in 2017 by Milad Mohammadzadeh and Sadaf Monajemi.
Investors · 4
Company profile
researched Aug 2026See-Mode (See-Mode Technologies) develops artificial intelligence software that automatically analyzes ultrasound images and generates radiology reports. Its thyroid product detects, sizes and characterizes thyroid nodules and produces a complete TI-RADS sonographer worksheet along with preliminary radiologist impressions. Its breast product identifies lesions in ultrasound imaging and automates BI-RADS reporting, covering both lesion characteristics and suspicion level. The stated aims are to reduce reporting time, improve consistency and reduce inter-operator variability and reporting errors [0].
Operationally, the software detects nodules in ultrasound images without requiring the sonographer to mark a region of interest, supports comparison between prior and new images, generates a full ultrasound worksheet for the examination, and pre-populates radiology report templates with preliminary findings and impressions [4]. The thyroid ultrasound application has FDA clearance; as of mid-2025 the breast ultrasound detection product had not yet been cleared, with FDA 510(k) submission and approval for it set as contractual milestones in the RadNet transaction [0][4].
See-Mode was founded in 2017 and, at the time of its acquisition, was headquartered in Melbourne, Australia. In June 2025 it was acquired by Los Angeles-based imaging center operator RadNet Inc. and placed within RadNet's Deep Health technology division [4]."]
Business model
See-Mode licenses AI software that plugs into ultrasound reporting workflows at imaging providers and radiology practices. Following the RadNet acquisition, RadNet stated that the initial focus would be internal implementation across its own imaging centers, after which the technology would also be sold and marketed to third parties by its Digital Health division as the offerings are further commercialized [4].
Sales of AI reporting software to imaging providers; RadNet cited customer contracts with defined aggregate annual value as an earn-out milestone (at least two new customer contracts totaling $150,000 in aggregate annual value by March 31, 2026) and noted that existing CPT codes make a portion of thyroid ultrasound volume eligible for additional reimbursement [4].
Traction
RadNet reported that early deployment of See-Mode's FDA-cleared thyroid ultrasound AI across 83 of its centers demonstrated up to a 30% reduction in scan times, with early results indicating interpretation times could fall by upward of 50%; the company's website cites a similar 30% scan-time reduction from early deployment across 12 RadNet imaging centers. RadNet aimed to complete implementation across its remaining centers by the end of Q1 2026 [0][4].
Latest developments
An SEC filing reported on August 12, 2025 detailed a total purchase price of about $28.7 million, comprising roughly $17.9 million in cash, a $2 million holdback releasable 18 months after closing, and $8.8 million in contingent consideration, with up to $12.7 million in cash and RadNet common stock tied to three milestones: $4.3 million for implementing the thyroid ultrasound detection product at four RadNet centers plus two new customer contracts worth $150,000 in aggregate annual value by March 31, 2026; $4.2 million on FDA 510(k) clearance of the breast ultrasound detection product (submission by March 31, 2026, approval by December 31, 2026); and $4.2 million on FDA 510(k) clearance of a new ultrasound product (submission by June 30, 2027, approval by March 31, 2028). Each contingent amount is payable 50% in cash and 50% in RadNet shares. RadNet also stated it hopes to pursue FDA clearance for the breast ultrasound application, which would address roughly 600,000 of its 2.7 million annual ultrasound exams [4].
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
Positioned as an ultrasound-focused AI vendor within diagnostic imaging. RadNet described ultrasound AI as its next modality focus after mammography and characterized thyroid ultrasound as one of the most time-consuming and manually intensive procedures in radiology, framing See-Mode's technology as a capacity-creating tool across its network [4].
Focus on ultrasound, a modality whose interpretation depends heavily on individual technologist and radiologist skill, with automated detection that requires no region of interest from the sonographer and end-to-end generation of standardized (TI-RADS/BI-RADS) worksheets and preliminary report text rather than detection alone [0][4].
Technology
Deep learning-based image analysis applied to ultrasound. The system automatically detects, measures and characterizes thyroid nodules and breast lesions without requiring a sonographer-defined region of interest, maps findings to standardized reporting frameworks (TI-RADS for thyroid, BI-RADS for breast), enables prior-versus-current image comparison, and auto-populates worksheets and radiology report templates with preliminary findings and impressions [0][4].
Go-to-market
Direct sales and institutional partnerships with imaging providers and radiology groups; the website references partnerships with named institutions including RadNet and Australian radiology provider Altus. Post-acquisition distribution runs through RadNet's own center network and its Digital Health division's third-party sales channel [0][4].
Radiology practices, outpatient imaging center operators and hospital ultrasound departments, and the radiologists and sonographers performing thyroid and breast ultrasound examinations [0][4].
Geography
Headquartered in Melbourne, Australia at the time of the 2025 acquisition; deployed within RadNet's US outpatient imaging network of roughly 405 locations concentrated in Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas [4].
History
Founded in 2017. By 2025 the company was headquartered in Melbourne, Australia and marketing FDA-cleared thyroid ultrasound AI plus a breast ultrasound application. RadNet announced its acquisition on June 4, 2025 and finalized it that month, disclosing terms in an SEC filing reported in August 2025 [0][4].
Risks & controversies
A substantial portion of the acquisition consideration is contingent on regulatory and commercial milestones that had not been achieved as of the reporting date, including FDA 510(k) clearance of the breast ultrasound product and of an additional ultrasound product on defined deadlines [4].
Compiled by commissioned research from 6 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 3
launches, deals, and filingsAn SEC filing dated Monday, Aug. 11, 2025 and reported Aug. 12 disclosed a total purchase price of about $28.7 million: ~$17.9 million cash, a $2 million holdback released 18 months post-deal, and $8.8 million in contingencies, plus up to $12.7 million payable in cash and RadNet stock on three implementation and FDA clearance milestones. RadNet leaders discussed the deal on the Q2 earnings call.
$28.7M source ↗
RadNet Inc. announced it was acquiring ultrasound AI vendor See-Mode Technologies, adding the Melbourne, Australia-headquartered company to its Deep Health technology division. The acquisition was finalized in June 2025.
$28.7M source ↗
See-Mode's thyroid ultrasound AI software is described as FDA-cleared/FDA-approved and was being deployed across RadNet imaging centers.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 6
primary sources listed
- See Modesee-mode.com · web
6 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does See Mode do?
- See-Mode builds AI software that analyzes thyroid and breast ultrasound images to automate radiology reporting; acquired by RadNet in 2025.
- Who founded See Mode?
- See Mode was founded by Milad Mohammadzadeh, Sadaf Monajemi in 2017.
- Who are See Mode's investors?
- See Mode's investors include AngelCentral, Blackbird Ventures, Cocoon Capital, Entrepreneur First.
- Where is See Mode headquartered?
- See Mode is headquartered in Singapore, SG.
