Resistant AI
Detect fake, tampered and AI-generated documents in seconds, and upgrade existing transaction monitoring to catch novel fraud.
By Resistant AI · HQ Prague, Czech Republic · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Banks, lenders, payments and BNPL providers doing high-volume remote onboarding, KYC or underwriting
- AML and financial-crime teams that want more detection coverage without replacing a rule-based transaction monitoring system
- Insurance claims and marketplace operators that must validate submitted invoices and supporting documents at scale
Ideal size: 50–1,000 people · Regulated financial firm with digital onboarding and an existing fraud/AML stack
Not for
- Teams with no document-heavy or transaction-monitoring workflow to protect
- Buyers who need published self-serve pricing, a free tier or instant card checkout
- Organisations looking for a full case-management or core banking suite rather than a detection layer on existing systems
Value metrics scorecard
Time-to-Value
2–6 weeks
~30 days to first production value
Total Cost of Ownership
On request
Enterprise, quote-based contracts; demo required, no public list pricing or self-serve plans.
Implementation Friction
3/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not published; commercial terms are scoped per enterprise deployment rather than published seat tiers.
Add-on costs
- None
Company & support
Who is behind Resistant AI, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Prague, Czech Republic
How you get support
We haven’t recorded support channels for Resistant AI yet. Nothing here means unverified — not absent.
Market position
Where Resistant AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.
Quadrant view
Typical annual cost × Time-to-value
The lines cross at the median of the solutions shown, so about half sit on each side of each line.
Companies on the chart 6 / 10
- Resistant AI
- Middesk
- Provenir
- Saifr
- Red Oak
- Napier AI
Add or change companies
Up to 10 companies including Resistant AI. Listed closest first.
Stack fit signal
Compatibility with standard B2B ecosystems.
No supported MCP path today, so it cannot be driven from an AI client.
AI & MCP readiness
What Resistant AI ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes AI document fraud detection for fake, tampered and AI-generated documents at under 20 seconds per document, plus 80+ off-the-shelf, fully explainable AI models that upgrade an existing rule-based transaction monitoring system. No source details model hosting, training data, logging/export, or customer-supplied model keys.
Your data & models
- Trains on your data
- Not recorded — ask the vendor
- Runs on
- Not recorded
- AI pricing
- Not recorded
In your ecosystem
- AI connection
- Not supported
- Model key
- Not recorded
- AI usage audit
- Not recorded
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Resistant AI sells enterprise fraud and financial-crime detection. Its Documents product checks identity, income and supporting documents for forgery, tampering and AI-generated content, aiming at sub-20-second decisions in onboarding, underwriting and claims. Its Transactions product layers 80+ explainable AI models onto an existing rule-based monitoring system to catch novel fraud, mule accounts and money laundering. Buyers are banks, lenders, payments and BNPL firms; deployment is API-led and complements incumbent AML stacks. Pricing is quote-based.
Frequently asked questions
What does Resistant AI actually do, and who typically buys it?
It is fraud and financial-crime detection software with two products. Resistant Documents verifies identity, income and supporting documents for fake, tampered or AI-generated content, aimed at merchant onboarding, loan underwriting and claims processing. Resistant Transactions adds explainable AI models on top of an existing rule-based transaction monitoring system for AML, APP fraud and BNPL risk. Buyers are banks, lenders, payment providers, BNPL and marketplace operators with fraud/compliance analyst teams.
How does it fit alongside our existing fraud and AML systems?
The vendor positions both products as an AI upgrade to systems you already run rather than a replacement: transaction monitoring is augmented, not swapped out, and document checks plug into onboarding, underwriting or claims workflows. It is a detection layer, so you keep your case management, core banking and decisioning stack. Expect integration work against your decisioning APIs rather than a rip-and-replace project.
How long until we see production value, and what will it cost?
No implementation timelines or prices are published on the vendor's site; everything is quoted after a demo, and no free tier or self-serve plan exists. Scope a short pilot on one document flow or one monitoring rule set first, then price the full rollout. Treat any budget figure you receive from a third party as unverified until the vendor quotes you.
What security and compliance certifications does the vendor hold?
The available public pages do not evidence SOC 2, ISO 27001, HIPAA, FedRAMP, ISO 42001 or CMMC, and the vendor's trust page publishes no readable certification detail. Rather than assume, request the current audit report, penetration-test summary, DPA and data-residency options directly during procurement, and make them a condition of contract.
Is our document and transaction data used to train the models?
The vendor's public privacy policy as excerpted does not state whether customer documents or transaction data are used to train or improve models. Ask for a written commitment and confirm it in the DPA before sending production data, especially for identity documents and transaction records subject to financial-sector rules.
Which document types and geographies are supported?
The vendor claims the Documents product can check any document from any country, including forgeries, tampering and AI-generated documents, at under 20 seconds per document. Because coverage varies by document class and issuing country, validate your top document types and jurisdictions in a pilot before committing.