Empowering CEOs and Senior Executives with Guaranteed 510(k) Clearance and 3 Month Submission Timeline

  • So you've acquired, licensed, or built a AI/ML software medical device (SaMD)
  • Your investors and board are waiting. Your competitors are closing in. Every month of delay costs you market share, revenue, and runway
  • Here's the challenge:
    • You can't afford a delayed submission
    • You can't afford an FDA rejection
    • Your engineering and regulatory teams are already overloaded, nonexistant, or needs a specialist skillset to execute with speed and certainty
    • You suspect your team is overcomplicating things or not moving as fast as they could be
    • You need 510(k) cleared as soon as possible and at all costs to unlock revenue
    • Every month of delay costs you hundreds of thousands in lost revenue, payroll expenses, and market share surrendered to competitors
  • You need one partner who can guarantee speed and certainty of success
  • You need one partner who can just take it off your hands and do it for you on autopilot

Our Speed and Certainty Promise

  1. We guarantee your application will be submitted to FDA within 3 months.
  2. We guarantee your application will be cleared by FDA.

Why Innolitics?

  • All we do is software as a medical device (SaMD) and AI as a medical device since 2012
  • 50+ SaMD and SiMD products cleared through FDA
  • We have experience with all the flavors of AI enabled medical devices including CADq (quantification), CADe, CADx, CADt, and CADp (predictive)
  • We have full time MDs, PhDs, software engineers, and regulatory experts on staff
  • We are the only ones offering a speed and certainty guarantee
This is how your competitors are doing it but don’t have time for detours, surprises, and rejections.
We will find the optimal path for you so we can guarantee 510(k) submission time and clearance or a partial refund.

Qualification Criteria

We are the only firm in the industry offering this guarantee. However, not all algorithms qualify. Here are the criteria for our speed and certainty guarantees.

3 Month Submission Guarantee

  • You have gone through our Regulatory Strategy Service
  • Algorithm must be done and locked
  • Test data must be collected and you have a source of readers necessary to complete the study designed during the strategy service
  • FDA submission must be the highest priority for the organization
  • Algorithm must be containerizable (e.g. Docker)

FDA Clearance Guarantee

  • You have gone through our Regulatory Strategy Service
  • The algorithm is capable of acceptance criteria and study design outputs from the strategy service
  • Algorithm must pass the acceptance criteria thresholds as set in the study designed during the strategy service
  • We are happy to submit with lower acceptance criteria / lighter weight study design but we cannot guarantee clearance certainty
See if you Qualify

Case Studies

We went from Zero Documentation to 510(k) Cleared in 12 Months

Client’s first medical device. No documentation. 510(k) cleared in 12 months while engineers stayed focused on dev.

Read the case study →

Rob Lewis - Radiology

Fast 510(k)510k
Logo, Software Services Firm with First Product

We went from idea to FDA clearance in 18 months and first Install for AI Tumor Tracking Software

Prototype → 510(k) → QMS → FDA audit passed. Multi-year partnership with ongoing development.

Read the case study →

Dr. Andrew Smith, MD PhD - Radiology

Software DevelopmentImage ProcessingDICOMWeb-App510k
Logo, AI Metrics - Dr. Andrew Smith

We Flew Onsite, Read the Code, and Finished the 510(k) Docs in 4 Months

Other consultants couldn’t make progress. We finished their software docs in 4 months — 3x faster than expected.

Read the case study →

VP of Systems R&D - Microbiology

Fast 510(k)Guaranteed AI/ML FDA Clearance510kIVD

We Did It All: R&D, Clinical Study, and 510(k) Cleared in 12 Months

Built and cleared an AI cardiomegaly detector end-to-end: algorithm R&D to 510(k) clearance in under 12 months.

Read the case study →

Dr. Steven Rothenberg MD - Radiology

Medical Imaging AI DevelopmentSoftware DevelopmentRegulatory StrategyGuaranteed AI/ML FDA ClearanceAI/ML510kImage Processing
Logo, Body Check

We Built a Radiology Workflow Tool and Got It FDA Cleared in 14 Months

Built and cleared a DICOM image processing SaMD in 14 months. Full-cycle: engineering to 510(k) clearance.

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Tim Szczykutowicz, PhD - Radiology

Software DevelopmentFast 510(k)Web-AppImage ProcessingDICOM510k
Logo, RadUnity

Dental CADe Concept to 510(k). We built the app, trained the AI, ran the MRMC study, cleared the FDA.

We built the app, trained the AI, ran the MRMC study, and cleared FDA.

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Dr. Richard Ricci, DDS, MS, FAGD, Dr. Andrea R. Cambria, DDS, FAGD - Dental

Guided 510(k)Software DevelopmentWeb-AppAI/MLImage Processing510k
Logo, Cube Click, Inc.

Competitor: 5 years, $500k, no results. Us: 18 months, FDA cleared, IPO filed.

Full-cycle development of GyriCalc, a first-of-its-kind pediatric neuroimaging diagnostic. FDA cleared (K250686) July 2025. Filed for IPO in June 2025.

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Andrew Stewart - Neurology

Software DevelopmentGuided 510(k)Regulatory StrategyWeb-App510kImage Processing
Logo, NeuroSpectrum Insights, Inc

We Delivered a AI Regulatory Strategy On Time and On Budget

FDA regulatory strategy and Pre-Submission for an AI platform converting 2D MRI to 3D joint models. Delivered on time and budget

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Dr. Jagi Gill, MD - Radiology

Regulatory StrategyRegulatory Strategy, Q-Sub, and BDD in 2 WeeksAI/ML
Logo, OrthoVentions

Testimonials

7 weeks to submission and 6 months to FDA clearance. Innolitics delivered exactly what we needed. They took ownership of the entire DHF and 510(k) package—documentation, cybersecurity, risk management, the works. When we hit internal roadblocks, they found ways to keep us moving. When scope decisions needed to be made fast, they made the right calls. Fast, thorough, no surprises, and full service. That’s how regulatory consulting should work!
Dr. Peter Killcommons, MD

Dr. Peter Killcommons, MD

CEO MedWeb

I needed a software development partner to write the software, train the AI, and get FDA clearance. An investor once told me that it would take me $5 million and 5 years to get to where we are now. Innolitics got me here 3 years ahead of schedule and $4 million dollars under budget.
Dr. Andrew Smith, MD PhD

Dr. Andrew Smith, MD PhD

Co-Founder at AI Metrics & Chair of Diagnostic Imaging at St. Jude Children’s Research Hospital

Innolitics’ team epitomized proficiency, professionalism, and precision. Their expertise extends beyond FDA regulations, encompassing intricate facets of DICOM, radiology workflows, and adept software engineering. Venturing into this without their support would have potentially stretched our timeline to 9 months or more. Earning the FDA clearance (K231385), for us, is more than just an accomplishment; it’s a monumental milestone.
Amr Abodraiaa

Amr Abodraiaa

CEO of Rology

We’re grateful to Innolitics for their expert help in getting our product 510(k) cleared. Our team was totally focused on other objectives, so we were excited to learn about the Innolitics Fast 510(k) service. Working with them was smooth, and now we have an FDA cleared product!
Rob Lewis

Rob Lewis

CEO of Radical Imaging

Thanks to Innolitics, we were able to complete the software documentation for our 510(k) in just 4 months. They flew onsite to absorb how our software worked and provided detailed guidance. Without Medtech OS, training, and support, I can easily imagine the process taking 12 months. Our engineering team was able to focus on feature development instead of being bogged down with documentation. We tried three different consultants before finding Innolitics. None of them could deliver. Innolitics took the reins and made it happen. I don’t see how we would have completed our 510(k) without them.
VP of Systems R&D

VP of Systems R&D

IVD Startup

They were proactive, informative, and very well-versed in the regulatory challenges of AI in medical imaging… Unlike competitors, who sometimes take a blanket approach, Innolitics didn’t throw the baby out with the bathwater. They recognized the good work already done and built upon it… We reviewed other capable firms, but none showed the same depth of understanding of the rapidly evolving landscape of AI and regulatory requirements. Their proactive stance with the FDA gave us confidence that we were in the right hands, compared to competitors who seemed more reactive.
Dr. Jagi Gill, MD

Dr. Jagi Gill, MD

Founder and Managing Director

Working with Innolitics has been a fantastic experience. Their technical and regulatory expertise is exceptional—it’s not just programming; it’s science combined with a deep understanding of FDA regulations. Interacting with their team feels like collaborating with fellow scientists who navigate the complexities of regulatory compliance effortlessly. Their mastery in detailing the ends of the slice ranges (they’ll know what I mean) and guiding us through the FDA process has been impressive. I’ve recommended them multiple times and will continue to do so.
Tim Szczykutowicz, PhD

Tim Szczykutowicz, PhD

CEO

During a presubmission meeting, the FDA acknowledged that 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. They expertly, and politely, navigated the FDA call with our best interests in mind while fostering a collaborative exchange with the agency.
Dr. Ilya Pyatnitskiy, MD

Dr. Ilya Pyatnitskiy, MD

Cofounder of AUMI AI

Innolitics are more than a group of top SaMD engineers and reg consultants—they are trusted advisors and are like family. They are a one stop shop for AI/ML algorithm R&D, full stack web development, and FDA regulatory clearance. We built SmileDx, a dental CADe from scratch all without needing to raise external funding and within a reasonable timeframe.
Dr. Richard Ricci, DDS, MS, FAGD

Dr. Richard Ricci, DDS, MS, FAGD

CEO of Cube Click

We have done it before and we can do it for you next.
Let's Meet!

Our Process: Battle-Tested. Speed and Certainty Guaranteed.

We don’t just hand you templates and wish you luck, we drive the entire process using our proprietary Medtech OS platform—purpose-built for SaMD. We roll up our sleeves and do most of the work for you so your team does not need to learn it for themselves.

Week 1: Strategy and Planning

  • Intensive strategy workshops to establish your regulatory approach
  • Immediate delivery: Regulatory Plan locks in your submission timeline
  • Immediate delivery: Clinical Performance Assessment Plan so you can start validation studies immediately
  • Define user needs, system requirements, and risk management framework
  • Establish cybersecurity threat assessment and security risk plan
  • Document device description and intended use
  • Our physicians, engineers, and regulatory consultants ensure you have a winning strategy

Sprint 1: Risk, Requirements, and Protocol (4 Weeks)

  • Comprehensive safety risk assessment through facilitated workshops
  • Complete cybersecurity risk assessment and threat model
  • Document system-level requirements including risk control measures
  • Create software architecture design with key sequence diagrams
  • Draft Design Verification Plan and Design Validation Plan
  • Write Technical Performance Assessment Plan
  • Prepare Executive Summary and Predicate Comparison
  • Your engineers focus on containerizing the algorithm—we handle the documentation

Sprint 2: Design and Architecture (4 Weeks)

  • Decompose software architecture into detailed hierarchy
  • Collaborate with your engineers to write Software Design Specification
  • Complete comprehensive Software Requirements Specification
  • Draft verification and validation procedures with full traceability
  • Finalize Substantial Equivalence Discussion and 510(k) Summary
  • Document device labeling and Package Labeling Justification
  • Develop Build Checklist for verification-candidate system

Sprint 3: Testing and Submission (4 Weeks)

  • Complete User Manual with build and deployment procedures
  • Write validation protocols for all user needs
  • Review and approve your verification and validation results
  • Generate Risk Management Report and Security Risk Management Report
  • Create machine-readable SBOM and comprehensive cybersecurity documentation
  • Complete all FDA-required software and cybersecurity documents
  • Submit to FDA, serve as your regulatory correspondent, and be your advocate all the way to FDA clearance.
Let's Meet!

Our Publications

We are thought leaders in the AI/ML enabled medical device software space. Here are some of our many articles and resources:

Definitive Guide to AI/ML SaMD Acceptance Criteria

Setting acceptance criteria incorrectly (too high or too low) can delay your FDA submission by weeks or trigger rejection. This guide analyzed 784 AI/ML medical device clearances to provide concrete, data-driven thresholds. You’ll find specific starting points: AUC of 0.9, Sensitivity/Specificity of 0.8, Dice of 0.8, Kappa of 0.85, and Bland-Altman LOA within ±10% of mean physiological values. Learn which statistical methods FDA accepts most often, how to justify your criteria using special controls and predicates, and what to do when your device fails testing.

Read more →

Yujan Shrestha

ArticleAI/MLRegulatory

Definitive Guide to AI/ML SaMD Ground Truthing

Here we analyze over 200 FDA 510(k) and De Novo summaries to tease out best practices for AI/ML study designs and adjudication strategies specifically.

Read more →

Yujan Shrestha

ArticleAI/MLRegulatory

How to Plan MRMC and Standalone Studies for a 3-Month 510(k)

This article shows how to achieve an AI/ML SaMD 510(k) submission in ~3 months by running a compact, well-powered MRMC study while continuously accruing standalone evidence through washout. It clarifies roles, sizing, units, and endpoints, with device examples, flowcharts, and a checklist to prevent rework and delays.

Read more →

Yujan Shrestha

ArticleAI/MLRegulatory

How to Document AI/ML Algorithms in FDA Presubmissions (Q-Sub)

The article outlines a method for documenting AI/ML algorithms for FDA pre-submissions. It emphasizes clear algorithm descriptions to avoid delays. Key steps include visual runtime descriptions, dataset analysis, non-ML testing, annotation details, AI/ML test plans, and performance metrics. It stresses reducing annotation costs and leveraging existing data while advising comprehensive documentation for effective FDA evaluation.

Read more →

Yujan Shrestha

ArticleAI/MLRegulatory

AI/ML from Idea to FDA

This article outlines the process of developing an AI/ML algorithm from scratch and getting it FDA cleared. It covers the four phases of the process (Explore, Develop, Validate, and Document) and discusses the costs, time, and data requirements involved. It also provides advice on regulatory strategy, data annotation, and algorithm prototyping. If you’re interested in developing a medical device involving AI/ML.

Read more →

Yujan Shrestha

ArticleAI/MLRegulatory

How We Develop AI for 510(k)-Cleared Devices

This article outlines Innolitics’ process for developing machine learning algorithms for FDA-cleared medical devices. It covers documentation requirements, common pitfalls (overfitting, data leakage, augmentation errors), and a systematic workflow using four key reports: Input Verification, Data Augmentation QA, Model Performance, and Model Comparison—ensuring safe, effective, and compliant AI development.

Read more →

ArticleAI/ML

Medical Imaging AI/ML Engineering Guide: Best Practices and Examples

A practical guide for engineers new to medical imaging AI, highlighting common pitfalls—like coordinate-system errors and orientation mix-ups—and providing simple checks to avoid them.Ask ChatGPT

Read more →

Yujan Shrestha

ArticleAI/MLSoftware

PCCPs: Best Practices, FAQs, and Examples

With predetermined change control plans (PCCPs), FDA has given manufacturers a great new regulatory tool. In this article, we discuss PCCP best practices and questions based on our experiences with FDA and our thorough research of the FDA databases.

Read more →

J. David Giese

ArticleAI/MLRegulatory

Medical Device Cybersecurity: Best Practices, FAQs, and Examples

This article provides an in-depth exploration of medical device cybersecurity requirements, including best practices and FAQs. It also includes examples and resources for those looking to implement or improve their own threat modeling processes.

Read more →

J. David Giese and Bimba Shrestha

ArticleCybersecurity

Design Inputs: Best Practices, FAQs, and Examples

The FDA says developing your design inputs is “the single most important design control activity,” yet writing good design inputs is difficult. This article presents Innolitics’ answers questions our clients frequently ask us about design inputs and analyzes a number of poorly written example requirements.

Read more →

J. David Giese

ArticleRegulatorySoftware

Medical Device SBOMs: Best Practices, FAQs, and Examples

Practical suggestions and tips for authoring SBOMs for medical devices and for using them to monitor for cybersecurity vulnerabilities.

Read more →

J. David Giese

ArticleCybersecurity

Medical-Device Software Regulations: Best Practices, FAQs, and Examples

A comprehensive FAQ for people who are interested in creating a new medical device software to learn the basics about the US regulations.

Read more →

J. David Giese

ArticleRegulatory

Unresolved Anomalies: Best Practices, FAQs, and Examples

The “Unresolved Anomalies” document is required for the FDA’s pre-market submissions. This article includes best practices, FAQs, and examples for writing this document.

Read more →

J. David Giese

ArticleRegulatory

Let's Meet!

FAQs

How much does it cost?

Our pricing isn’t based on internal cost. It’s based on the value and urgency of getting a clean AI/ML submission through quickly. We take on a limited number of filings, and demand has been rising, so engagements start at $350k and often land higher due to limited engagement slots. We anchor pricing based on demonstrated market demand. At our current level, we see strong adoption from teams that need guaranteed timelines and clearance. That tells us the underlying value of the service deliverables appropriately matches the value of the service.

What are the specific refund terms if FDA rejects or you are not able to deliver on time?

If FDA rejects due to deficiencies in our work (bad documentation, missed requirements, poor submission quality), a partial refund will be given. The refund is not applicable If rejection is due to your device's clinical performance or a clinical study that was less powerful than the one we planned for in week 1.

Do you handle the clinical validation study too?

Yes. Just add data and we can handle the rest. This is done via a separate service.

What if our algorithm isn't quite finished yet?

That's actually common. Week 1 identifies exactly what needs to be finalized. Your engineers typically need to containerize the algorithm and run verification tests during Sprint 3. We provide the protocols and guide the process. If significant algorithm work remains, ask us about bundling our AI/ML Development service.

How much time will our engineers need to commit?

Plan for 1-2 full time engineers for the entire 3 month engagement.

Do you need access to our source code or model weights?

No. If you containerize your algorithm and can run inference on command, we don't need your code or weights. We work with the inputs, outputs, and documentation. If you want us to help optimize or debug the algorithm, then yes—but that's optional.

What if my device does not contain AI?

We handle that too. Let’s chat.

What if we need more than 3 months?

No problem. We also offer slower paced engagements. Let’s chat.

What if I already have a regulatory team?

No problem! We’ll show your team how to move with speed and certainty as long as your team has an open mind to use our templates, embrace our process, and follow our lead.

What if the FDA asks for major changes after submission?

We serve as your regulatory correspondent and handle all FDA communications. If the FDA requests additional information, we coordinate the response. Our clearance guarantee means if rejection is due to deficiencies in our work, you get a partial refund.

Can you work with our existing QMS?

At the end of the engagement, all deliverables will be provided as Word documents that can be stored in any QMS. We must use our templates and software (i.e. Medtech OS) during the project for maximum speed. Medtech OS is built on Notion and provides AI/ML-specific templates, automated traceability, and real-time collaboration. Many clients continue with Medtech OS because it makes subsequent 510(k)s significantly faster.

What if our device doesn't fit your service?

This service works best for:

  • AI/ML SaMD (software-only medical devices, not SiMD)
  • Algorithm near completion (or willing to add our development service)
  • Algorithm is likely to pass validation. We only accept algorithms that are likely to succeed clinical validation testing.
  • Class II devices with straightforward predicate strategies
  • Non-patient-facing devices (physician/technician use only)

If your device doesn't fit, we'll tell you upfront in the discovery call and recommend alternatives.

Your price seems high. Can we do this cheaper elsewhere?

As far as we are aware, nobody else provides a speed and certainty guarantee so comparing this service to another won’t really be like comparing apples to apples.

Let’s Go!

In a 30-minute call, we'll assess if your device is a good fit for this service or alternative services and provide a clear path forward.


Let's Talk

Every great partnership starts with a conversation. Fill out the form below for a discovery call, and an Innolitics team member will contact you soon.