Vision Elements is a computational sciences R&D consultancy founded in 2007 and based in Tel Aviv, Israel. We specialize in computer vision, AI, sensor fusion, medical imaging, and real-time perception systems — delivering production-grade solutions across medical, defense, industrial, and autonomous systems domains.
Our team of ~25 experts has completed 300+ projects globally, supported 150+ patent applications, and contributed to over $2B in client M&A outcomes — including CathWorks, whose coronary imaging technology was acquired by Medtronic for $585M in 2026.
We cover the full CV/AI stack: from optics, sensor calibration, and 3D reconstruction through deep learning, real-time inference, and edge deployment. Our work spans:
• Medical imaging: CT segmentation, X-ray angiography navigation, prostate biopsy guidance, AR for spine surgery • Defense & aerospace: airborne target tracking, drone-based 3D mapping, multi-sensor fusion (LiDAR, GPS, IMU, radar) • Industrial & smart cities: real-time multi-camera pipelines, object detection and tracking, edge AI on NVIDIA Jetson • Autonomous systems: SLAM, SfM, multi-object tracking, visual servoing
We are an Official NVIDIA AI Solution Advisor and NVIDIA Metropolis Partner. Speaker at Embedded Vision Summit 2024.
Clients appreciate Vision Elements for providing good value for cost, especially in AI and algorithm development projects. They emphasize strong project management and technical execution, though specific project costs and client sizes were not disclosed.
"They actively helped refine the algorithm, suggested better success metrics, and repeatedly challenged assumptions."
May 4, 2026
AI & Pulse Sequence Developer, Aspect Imaging
Gil Farkash
Verified
Medical
Israel
51-200 Employees
Online Review
Verified
Vision Elements developed and validated AI-based image analysis tools for an MRI system platform. They built and trained deep learning segmentation models and optimized algorithms for robust performance.
Vision Elements delivered high-quality work on time, exceeding expectations. Their team demonstrated a strong technical expertise and a truly collaborative attitude. They were also highly flexible and responsive to evolving needs and priorities.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the AI and Pulse Sequence Developer of Aspect Imaging
Describe what your company does in a single sentence.
Aspect Imaging produces a neonatal neuroimaging MRI system that is typically inside a NICU, delivering accesible MRI scans to neonates.
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Vision Elements to accomplish?
Produce an optimal Python environment for algorithm deployment
AI segmentation for T2 weighted neonatal MRI - algorithm development
Advice on product integration
SOLUTION
How did you find Vision Elements?
Other
Why did you select Vision Elements over others?
Good value for cost
How many teammates from Vision Elements were assigned to this project?
1 Employee
Describe the scope of work in detail. Please include a summary of key deliverables.
The project with VisionElements focused on developing and validating AI-based image-analysis tools for neonatal brain MRI, specifically for automatic volumetric quantification of the cerebral ventricles and brain parenchyma in preterm infants with hydrocephalus. The work included building and training several deep-learning segmentation models (2D U‑Net with ResNet-18 backbone, 3D U‑Net, and a transformer-based 3D U‑Net-R), setting up the full data pipeline (curation of 207 neonatal MRI scans, ground-truth creation, train/validation/test split), and optimizing the algorithms for robust performance on 1T point-of-care MRI data acquired in the NICU. Deliverables included production-ready segmentation models for multiple ventricular chambers and whole-brain volume, quantitative reports (statistics vs. expert ground truth), and tools for computing ventricle and brain volumes and ventricle‑to‑brain volume ratios as a potential biomarker to support clinical decision-making on surgical intervention in hydrocephalus.
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
The key measurable outcomes were the segmentation accuracy metrics and the strength of volumetric agreement between the AI models and expert ground truth.
Describe their project management. Did they deliver items on time? How did they respond to your needs?
VisionElements’ project management was excellent throughout the engagement. They set clear milestones at the outset, communicated a realistic timeline, and consistently delivered interim and final deliverables on or before the agreed deadlines. Whenever scope evolved or clinical/technical priorities shifted, they responded quickly and flexibly, proposing concrete options and transparently explaining timeline or effort implications. Communication was smooth and proactive: they regularly shared progress updates, clarified assumptions, and came prepared to meetings with data, visuals, and alternative solutions. Overall, they combined very strong technical execution with a truly collaborative attitude.
What was your primary form of communication with Vision Elements?
Virtual Meeting
What did you find most impressive or unique about this company?
What impressed me most about VisionElements was the combination of deep, hands‑on AI expertise with a very pragmatic, product‑oriented mindset. They did not just “train models”; they actively helped refine the algorithm, suggested better success metrics, and repeatedly challenged assumptions to make sure the solution would work in a real environment. Their ability to navigate state‑of‑the‑art architectures (2D/3D U‑Nets and transformers) while still keeping the pipeline efficient and robust on limited neonatal MRI data was genuinely unique. On top of that, their willingness to explain complex technical trade‑offs in clear, accessible language made the collaboration feel like a true partnership rather than a typical vendor relationship.
Are there any areas for improvement or something Vision Elements could have done differently?
There were only minor areas for improvement, no fundamental issues
RATINGS
4.5
Quality
4.5
Service & Deliverables
Schedule
4.5
On time / deadlines
Cost
4.5
Value / within estimates
Willing to Refer
5.0
NPS
AI Development for Medical Imaging Company
AI DevelopmentCustom Software Development
$10,000 to $49,999
Feb. - Apr. 2026
4.5
Quality
5.0
Schedule
5.0
Cost
4.0
Willing to Refer
4.5
"Their development and AI skills were impressive."
May 7, 2026
CTO, Aionas
Yotam Livny
Verified
Utilities
Tel Aviv, Israel
11-50 Employees
Online Review
Verified
Vision Elements provided AI development services for a medical imaging company. The team worked on real-time inverse problem-solving.
Vision Elements demonstrated strong AI development skills. The team was highly rated for their work. However, the project was closed due to internal reasons. During the engagement, the partners collaborated in person.
The client submitted this review online.
BACKGROUND
Please describe your company and position.
I am the CTO of Aionas
Describe what your company does in a single sentence.
Metical imaging
OPPORTUNITY / CHALLENGE
What specific goals or objectives did you hire Vision Elements to accomplish?
realtime inverse problem solving
SOLUTION
How did you find Vision Elements?
Referral
Why did you select Vision Elements over others?
High ratings
How many teammates from Vision Elements were assigned to this project?
2-5 Employees
Describe the scope of work in detail. Please include a summary of key deliverables.
-
RESULTS & FEEDBACK
What were the measurable outcomes from the project that demonstrate progress or success?
none - startup closed
Describe their project management. Did they deliver items on time? How did they respond to your needs?
not relevant
What was your primary form of communication with Vision Elements?
In-Person Meeting
What did you find most impressive or unique about this company?
Their development and AI skills were impressive.
Are there any areas for improvement or something Vision Elements could have done differently?
-
RATINGS
4.5
Quality
5.0
Service & Deliverables
Schedule
5.0
On time / deadlines
Cost
4.0
Value / within estimates
Willing to Refer
4.5
NPS
Showing 1-2 of
2 Reviews
Our Story
For over 15 years, Vision Elements has been a trusted partner in computational sciences — delivering production-grade computer vision, AI, and sensor fusion systems across medical imaging, defense, autonomous systems, and industrial perception. Our clients range from early-stage startups to global enterprises. Some engage us for a focused proof-of-concept; others rely on us as their long-term R&D backbone. Either way, we treat every project as if it were our own.
Meet the Team
Guy LaviFounder and Managing Partner
Adi DafniPartner
What Sets Us Apart
NVIDIA AI Solution Advisor & Partner
Official NVIDIA AI Solution Advisor and Metropolis Partner since 2022. We build and optimize production CV/AI pipelines on NVIDIA hardware — Jetson, DeepStream, TensorRT — and have direct access to NVIDIA's engineering and partner ecosystem.
300+ projects, $2B+ client M&A outcomes
Since 2008 we have delivered 300+ production R&D projects globally, supported 150+ patent applications, and contributed to over $2B in client acquisition outcomes — including CathWorks, acquired by Medtronic for $585M in 2026.
Full-stack CV/AI: optics to edge deploy
We cover the complete perception stack: optics, sensor calibration, 3D reconstruction, deep learning model development, and real-time edge deployment. No handoffs between specialists — one team owns the full pipeline from day one.
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