We can write your software and get it FDA cleared. Guaranteed.
We have the process, tooling, and team to build and clear SaMD faster than thought possible
We work with you to find the lowest friction pathway to implementation and FDA clearance. Even small tweaks to your marketing claims make big differences.
We turn your prototype code or algorithm into working, deployable, FDA compliant software.
We conduct software validation and other QA activities to get your device 510(k) ready. If needed, we can provide clinical experts to run the validation and find data and annotators to generate ground truth.
We submit your application to the FDA and strategically answer their questions.
J. David Giese
CEO and Cofounder
Yujan Shrestha, MD
CTO and Cofounder
Jim Luker
VP of Regulatory
Meri Martinez
Project Manager & Regulatory Affairs
Ethan Ulrich, PhD
Software Engineer, AI/ML
Matt Hancock, PhD
Software Engineer, AI/ML
Pablo Hernandez-Cerdan, PhD
Software Engineer, AI/ML
Reece Stevens
Senior Software Engineer, Full Stack
Juan Pablo Centeno
Software Engineer, AI/ML
Joshua Tzucker
Senior Software Engineer, Full Stack
Bimba Shrestha
Software Engineer, Full Stack
Grace Adams
Software Engineer, Full Stack
Ilya Spivakov
Software Engineer, Full Stack
Russell Kan
Software Engineer, Full Stack
Quinten Sodia
Junior Software Engineer, Full Stack
Sam’an Herman-Griffiths
Junior Software Engineer, Full Stack
Django, Python, Typescript, React, Svelte, AWS, iOS, Android, Bluetooth, C++/C, Qt
Nvidia MONAI, Tensorflow, Onnx, ML Flow, nnUnet, PyTorch, PyTorch Lightning
Numpy, Scipy, ITK, VTK, PIL, Numpy, Scipy, OpenCV
pydicom, HL7, FHIR, Epic App Orchard, DICOM PDF encapsulation, structured report, OHIF
510(k) documentation, presubmissions, SaMD specific eQMS
Innolitics's engineers seamlessly integrate with our existing team. They’ve consistently produced high quality work while helping us solve technical problems in the medical imaging space. In particular, they spearheaded development of a large module that extends our existing product suite. This module has since been cleared be the FDA (K153014) and is live at hospitals around the world. Their work on the module involved software development, researching various image processing algorithms, analysis of these algorithms against real-world data, and writing detailed technical documentation of the system that justified its approach to the FDA.
Nathan Childress, PhD, DABR
Associated VP at Varian Medical Systems
Innolitics has been invaluable in developing some components of our cloud-based analysis software for preclinical imaging. They expertly implemented an AI tool for the analysis of DICOM data and helped us with training and optimizing a prototype neural network. Their developers work independently, handling complex challenges with ease, and deliver top-quality results. It's been a pleasure working with the dedicated and professional team at Innolitics, and we highly recommend their services.
Alex Klose, PhD
CTO and Co-Founder at InVivo Analytics
"During a presub, the FDA acknowledged Innolitics were 'extremely advanced' in their understanding of the regulations. The FDA essentially concurred with all of Innolitics' advice, demonstrating a deep understanding of the regulations, even in the face of ambiguous topics such as CADe vs non-CADe"
Ilya Pyatnitskiy, MD
Cofounder of AUMI AI
"I needed a software development partner to write the software, train the AI, and get FDA clearance (K202229). An investor once told me that it would take me $5 million and 5 years but Innolitics got me here 3 years ahead of schedule and $4 million dollars under budget."
Andrew Smith, MD PhD
Cofounder at AI Metrics
"We recently got FDA cleared for an AI/ML SaMD and Innolitics' responses were absolutely clutch to craft the strategy that finally worked. Unlike other consultants, who wanted us to spend more money on clinical testing, Innolitics found a path using our existing data we received the best Christmas present ever – our 510(k) clearance letter"
Tushar Pandey
CEO at SimBioSys
"Innolitics is an incredible partner and consistently surpasses our expectations. They have an extremely agile team, adapting to our needs across back-end and front-end tasks seamlessly. When we needed support around ISO 62304 compliance for FDA requirements, they jumped right in and provided us compliant documentation. They also assisted us as we developed a regulatory strategy around FDA Cybersecurity and HIPAA Compliance (K191804). The Innolitics team is efficient, fair, and highly ethical. They are an absolute pleasure to work with."
Ryan Shelton, PhD
CEO and Co-Founder of PhotoniCare
Do you only only provide engineering service or regulatory?
We can do each service separately or combined for a one-stop-shop solution.
What if I am not finished annotating my data?
We can train the model as your team annotates data. You can see the algorithm performance improve over time. We can repeat the annotation and training cycle until we have met our performance targets
How much does it cost?
It depends. Click to get a free estimate.
Cloud GPUs are expensive. Do you provide an alternative?
Yes. We have powerful machine learning servers on site that we use for your project—free of charge.
I already have an algorithm. Do you just do the 510(k)?
Yes. See our done-for-you 510(k) service.
I already have a consultant. Do I need you?
We actually work with regulatory consulting firms to provide their clients a deeper level of technical guidance than what most regulatory professionals are equipped to do.
Do you offer just data collection or clinical performance assessments?
Yes.
We built and/or helped FDA clear these devices.
Deep Learning powered AI/ML detects cardiomegaly on CT
Deep learning powered AI-assisted DICOM viewer
A DICOM viewer for a Teleradiology Platform
A DICOM viewer for a clinical image viewer
AI/ML Annotation Platform
AI/ML Breast MRI Quantification
AI/ML X-ray Pathology Detection
CT Cardiomegaly is an example of an device we built and got FDA cleared in 12 months. Our team collected training data, annotated ground truth, iterated on algorithm parameters, wrote FDA documentation, and ran the study, debated the FDA, and secured the clearance.
AI Metrics is another example of a AI/ML device we built from the ground up and got FDA cleared. It contains a sophisticated DICOM image viewer that we built from scratch and an AI/ML segmentation network using TensorFlow and Keras trained on over 100,000 images.
Rology is an example of a fast 510(k) documentation service where we used our regulatory and engineering expertise to help the team draft FDA documentation, submit their FDA application in 4 months, and get cleared in 8 months.
Flexview is an example of a fast 510(k) documentation service where we used our regulatory and engineering expertise to help the team draft FDA documentation, submit their FDA application in 4 months, and get cleared in 8 months.
We are laser focused on SaMD and AI/ML. We are thought leaders in this space.
We know the code and the regs. We can go a level deeper than most consultants.
We have over 12 years of experience with over 50 medical device software projects completed.
We can tell you exactly what command to run instead of just repeating standards and guidance
One contract. One vendor. One point of contact. Zero points of failure.
We know SaMD so well that we can guarantee FDA clearance.
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