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Financial analysis · adoption-ready estimate
ForensicCheck | AI Synthetic Media Detection for Law Enforcement
If an entrepreneur "adopted" this product today, here's the realistic math.
Fermi summary
If you land 7 agencies at $10k/year after 18 months of government sales grind, that's $70k ARR - but you'll spend $78k getting there, the sales cycle will outlast your runway, and there's only a 7% chance you hit that number in Year 1.
Market size (TAM)
$35.0M
~3,500 addressable US law enforcement agencies, prosecutor offices, and state crime labs with digital forensics units × $10,000 avg annual SaaS contract
Year-1 ARR range
$15k - $220k
midpoint $75k
Investment to production
$78k
Dev: $32k for evidence chain-of-custody logging, audit trails, case management exports, and SOC2-ready infra. Compliance/Security: $18k for
Probability of success
7%
P(reaching mid case in 12 months)
Expected take-home Y1
$-74430
probability-weighted, after investment
Go-to-market motion
Conference presence at IACP and HTCIA → warm introductions to digital forensics commanders → 90-day free pilot with one state crime lab → use that reference to navigate 12-18 month procurement cycles at 4-6 additional agencies.
Key risks
- Government procurement cycles average 12-18 months from first contact to signed contract, meaning Year 1 ARR depends almost entirely on deals sourced in the first 30-60 days - most revenue lands in Year 2 at earliest
- Evidence admissibility wall: synthetic media detection output must survive Daubert/Frye expert witness challenges in court, requiring peer-reviewed methodology validation that typical AI models cannot provide - without this, LE cannot use results in prosecutions
- Cellebrite, Magnet Forensics, and Axon already have master purchase agreements and trusted vendor status with most LE agencies - they can add deepfake detection as a module and block new entrants via incumbent procurement preference
Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.