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Competitor Analysis

Market Overview

The compliance/regtech market is already huge (tens of billions) and growing fast with double-digit CAGRs. There's room for niche, deep, high-value tools — compliance is broad, but many firms still lack tailored automation for specific regulatory regimes (FDA, AI Act, etc.).

Compliance Software

~$30.20B (2023)

~10.2% CAGR

RegTech

~$17.02B (2023)

To ~$70.64B by 2030 (≈23.1% CAGR)

eGRC

$36.1B (2021) → $60.7B (2026)

≈10.9% CAGR

RegTech Spend Projection

$83B (2023)

$207B by 2028 (124% increase)

Competitive Landscape

Drata

Automated compliance / GRC platform. Supports SOC 2, ISO 27001, HIPAA, GDPR, NIS2, etc.

Where They Overlap

They pull logs, monitor controls, help with audit readiness

What They Don't Do (Gap)

They don't appear to focus on FDA-cyber premarket or AI Act style regulatory submission packs

Scrut

Best compliance automation software that automates tests across health tech, fintech, SaaS, multiple frameworks

Where They Overlap

Multi-framework, automation of tests & controls

What They Don't Do (Gap)

Likely not deep in domain-specific regulatory submission generation (e.g. SBOM + technical documentation + regulatory text)

MasterControl

FDA compliance software / quality & regulatory technology for life sciences

Where They Overlap

Focus in life sciences / regulated industries, FDA rules

What They Don't Do (Gap)

They tend more toward QMS & regulatory process management rather than fully automated controls + evidence pipelines

ProcessGene

GRC / regulatory compliance software (including FDA compliance)

Where They Overlap

Strong in compliance process / audit workflows

What They Don't Do (Gap)

Doesn't emphasize continuous evidence collection + control automation + module-based regulatory packs

Intellect QMS

Enterprise QMS integrating FDA, ISO, ISO + audit readiness in regulated industries

Where They Overlap

Good regulatory / process / audit features

What They Don't Do (Gap)

More on quality management, document workflows, less on automated technical evidence connectors

Ketryx

AI compliance platform that references "automated, real-time, FDA-ready" claims

Where They Overlap

They are attempting the kind of real-time / AI compliance angle

What They Don't Do (Gap)

Underspecified whether they support full submission packs, control libraries, continuous connectors across domains

ComplianceQuest

SaaS QMS + compliance workflows for FDA, ISO, OSHA etc.

Where They Overlap

Process, document control, audit workflows

What They Don't Do (Gap)

Less of a technical "pull evidence from your systems and generate regulatory packages automatically" play

Our Competitive Advantages

Regime-specific submission packs

  • •SBOM + pre-market cyber documentation for FDA
  • •AI-Act technical documentation, DPIA, lineage
  • •DORA incident packs, third-party register

Deep connectors & control-as-code layer

  • •Ingest from AWS, GCP, Okta, Git, Jira, scanners, Terraform etc.
  • •Automate checks & evidence capture so humans are out of the loop

Continuous compliance

  • •Not just snapshot compliance
  • •Ongoing continuous compliance, not just audit prep

Regulatory narrative + document generation

  • •Generate regulatory text, boards/board memos, templates, submissions
  • •Within the compliance context

Strong domain credibility

  • •Control definitions mapped to law, regulators, submission requirements
  • •Legal & regulatory mapping

Case Studies

Clair + Drata

✓ Saved hundreds of hours and reduced time by over 80% vs doing it manually for SOC 2

Gap: Not handling FDA/AI Act level regulatory submission packs

Calendly + Drata

✓ Audit prep workload dropped from 60-70 hours to ~3 hours/year (≈80-90% reduction)

Gap: Traditional GRC frameworks (SOC 2, etc.), not specialized regulatory submission generation

Immediation + Drata

✓ Over $100K in annual savings for ISO 27001 compliance

Gap: No evidence of domain-specific regulatory submission or "FDA cyber" style

Northeast Scientific + MasterControl

✓ Fast-tracked regulatory success and eliminated lag points in inspections

Gap: Process & documentation side only, not automated evidence pulling from cloud/SaaS/security tools

Key Takeaways

  • ✓Demand is real: Companies are already spending to reduce manual compliance burden
  • ✓Savings & ROI talk works: "Hundreds of hours saved," "80-90% reduction" are strong metrics
  • ✓Existing tools solve partial problems: They work well for SOC 2, ISO, QMS, documentation, control monitoring
  • →The Opening: They stop short of full regulatory pack generation, deep technical connectors (SBOM, model lineage), or domain-specific regimes (FDA Cyber, AI Act)