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FDA Software Playbook

From idea to 510(k) clearance: a practical guide to developing and regulating Software as a Medical Device in the US.

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Award-Winning FDA Compliance Partner

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100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member

Does the FDA Regulate Your Software?

FDA regulation follows intended use — diagnostic AI is SaMD; scheduling apps are not.

FDA SaMD classification — understanding Software as a Medical Device regulation

What Is SaMD

Software serving a medical purpose without being part of a hardware device.

What the 21st Century Cures Act Exempted

The Cures Act put admin tools, wellness apps, EHRs, and basic lab tests outside FDA scope.

Class I: General Controls

Minimal risk — registration and GMP only; most Class I SaMD is 510(k)-exempt.

Class II: 510(k) Premarket Notification

Moderate risk — a 510(k) proving substantial equivalence to a predicate device.

Class III: Premarket Approval

Highest risk — premarket approval with clinical evidence. Rare for pure SaMD.

The Regulatory Benchmarks That Shape SaMD Development

The frameworks and timelines that determine how FDA-regulated software is built, cleared, and maintained.

The Development Process for FDA-Regulated Software

Quality by design, in five steps.

The 510(k) Submission Process

The common FDA clearance path for Class II SaMD: prove substantial equivalence to a predicate device.

Device Description and Intended Use

The submission opens with a precise device description and intended use statement — the same one locked before development, and the foundation the reviewer evaluates everything else against.

Predicate Comparison

The predicate comparison is the core of the 510(k). It must show the same intended use and demonstrate that any differences in technological characteristics don't raise new safety or effectiveness questions.

Software Documentation

All SaMD submissions require a Software Description Document and SDLC summary. Documentation depth scales with software safety class — Class C requires the most complete design, testing, and risk management records.

Performance Testing and Cybersecurity

Performance data and FDA-compliant cybersecurity documentation are required for all SaMD. AI diagnostic algorithms also need clinical performance study data against a reference standard.

Post-Market Obligations: What Clearance Does Not End

FDA clearance begins post-market regulatory obligations that continue for the life of the product.

  • Complaint Handling and MDR Reporting

    Complaint Handling and MDR Reporting

    Complaint Handling and MDR Reporting

    Medical Device Reports are due in 30 days — 5 for urgent events.

  • Change Control

    Change Control

    Change Control

    Changes to safety, intended use, or labeling may need a new 510(k).

  • Annual and Periodic Reports

    Annual and Periodic Reports

    Annual and Periodic Reports

    Complaint data, MDRs, and corrective actions, filed on schedule.

  • AI/ML Post-Market Performance Monitoring

    AI/ML Post-Market Performance Monitoring

    AI/ML Post-Market Performance Monitoring

    Track real-world model performance against 510(k) claims; report drift.

  • Predetermined Change Control Plan

    Predetermined Change Control Plan

    Predetermined Change Control Plan

    A PCCP pre-clears algorithm updates without a new 510(k).

Navigating SaMD Regulation the Right Way

Five SaMD decisions made before coding starts.

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Intended Use
Lock the intended use statement before development — it drives classification, study design, labeling, and claims.
Predicate
Predicate selection is the foundation of a 510(k): a strong one enables a clean comparison. Novel SaMD without a predicate takes the De Novo route.
De Novo
De Novo clears moderate-risk devices without a predicate. Review takes 12–24 months but establishes a new device type others can cite.
QMS Timing
The QMS must be in place before development, not assembled afterward. Retroactive documentation is a common, expensive SaMD problem.
Clinical Study
For AI diagnostics, study design is the key decision: representative population, defensible reference standard, pre-specified analysis plan.

What Most Teams Get Wrong Before Submission Risk Areas

The most common and expensive SaMD submission problems are predictable — and preventable with the right regulatory strategy from the start.

Classification

Getting Classification Wrong

Underrating risk class derails a submission mid-review.

  • Intended use scope
  • Predicate scan
  • FDA guidance review
  • Pre-sub confirmation
QMS Gaps

QMS Built After the Product

A backfilled QMS is a top FDA red flag.

  • Establishment timeline
  • Risk-appropriate SOPs
  • Document management
  • Design control activation
Software Docs

Inadequate Software Documentation

The FDA judges your process, not just your test results.

  • SDD completeness
  • Traceability matrix
  • Risk management docs
  • Anomaly records
Cybersecurity

Cybersecurity Documentation Gaps

SBOM, threat modeling, and pen-test evidence are now mandatory.

  • SBOM
  • Threat modeling
  • Penetration testing
  • Vulnerability disclosure
AI Evidence

Insufficient Clinical Evidence for AI Claims

A weak performance study can trigger a whole new one.

  • Population representativeness
  • Reference standard
  • Statistical analysis plan
  • IRB and consent
Post-Market

Post-Market Infrastructure Not Ready at Clearance

Complaints, MDR, and change control must be live on day one.

  • Complaint handling SOP
  • MDR reporting
  • Change control procedure
  • Annual report calendar
Building Software the FDA Will Regulate? Start the Regulatory Strategy Before You Start the Code.

We guide SaMD teams from intended use through 510(k) clearance — QMS setup, predicate selection, clinical validation, and submissions. Our regulatory and engineering teams work together because the documentation and the code are inseparable.

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Award-Winning AI Development & Consulting

2025

100 Fastest Growth Companies

2025

Global Spring Winner

2025

Top App Development Company

2024

AWS Partner Network

2024

Google Cloud Partner

2025

Highly Rated on Trustpilot

2024

Verified Agency

2024

Top App Development Company

2024

ASSOCHAM Member

FDA Software Development Playbook: Frequently Asked Questions

[ 1 ]

How much does it cost to get a 510(k) clearance for a SaMD product?

Straightforward SaMD clearances run $200,000–$500,000; AI diagnostics needing clinical validation reach $1M–$5M.

[ 2 ]

Can a software product be both HIPAA-regulated and FDA-regulated?

Yes. A SaMD handling PHI must meet HIPAA's Security Rule plus FDA's QMS and premarket requirements.

[ 3 ]

What is the regulatory pathway for AI software that learns from new data after deployment?

A predetermined change control plan pre-specifies how the algorithm may evolve, accepted at clearance.

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