Softwr

Insurance · head to head

FRISS vs Unit21

FRISS logo

FRISS

Insurance

Trust automation for insurance

From
On request
Rated
-
Unit21 logo

Unit21

Cybersecurity

No-code fraud and AML risk operations platform for fintechs and neobanks

From
On request
Rated
-

The short version

  • Each has a real cost: FRISS no pricing plans, tiers, or costs are published on the website; Unit21 it is built for fintech scale rather than card issuer scale, so organisations reaching very high transaction volumes generally re-evaluate against heavier platforms and face a migration.
  • They diverge on capability: FRISS covers Underwriting risk scoring, Unit21 covers No-code rule builder.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which FRISS and Unit21 actually diverge.

Attributes where FRISS and Unit21 differ
AttributeFRISSUnit21
Pricing modelsubscriptionquote
PlatformsWeb, ApiWeb
CategoryInsuranceCybersecurity
Founded2006Unknown

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in FRISS

  • Underwriting risk scoring
  • Claims fraud detection
  • Network analysis
  • Real-time decisioning
  • Third-party data enrichment
  • Predictive analytics
  • Compliance monitoring
  • Core systems

Only in Unit21

  • No-code rule builder
  • SAR filing
  • Backtesting
  • Identity and device signals
  • Data ingestion API

Both cover

  • Case management

What people use each for

The jobs each tool is most often brought in to do.

FRISS

  • Fraud detectionnot Unit21
  • Risk assessmentnot Unit21
  • Underwriting automationnot Unit21
  • Claims investigationnot Unit21
  • Compliancenot Unit21

Unit21

  • A neobank whose sponsor bank requires a documented monitoring programme before it will keep the BIN sponsorshipnot FRISS
  • A crypto exchange needing SAR filing and case management without building an internal compliance engineering teamnot FRISS
  • A payments startup where the fraud lead needs to ship a new rule the same day a new attack pattern appearsnot FRISS
  • A lender consolidating fraud alerts from three point tools into one investigator queue with a single audit trailnot FRISS

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

FRISS

  • No pricing plans, tiers, or costs are published on the website
  • Requires direct contact through 'Let's talk' call-to-action for pricing inquiries

Unit21

  • It is built for fintech scale rather than card issuer scale, so organisations reaching very high transaction volumes generally re-evaluate against heavier platforms and face a migration.
  • No-code rule authoring shifts power to the risk team, which is the point, but without governance it produces rule sprawl that nobody can explain to an examiner two years later.
  • Detection quality depends on the signals you feed it, so a thin integration produces thin results and the platform cannot compensate with proprietary consortium data the way larger vendors do.
  • Pricing is quoted by volume with an annual commitment, so a fintech whose growth stalls pays for headroom it did not use.
  • SAR filing coverage is oriented to United States FinCEN reporting, so firms filing in the United Kingdom, European Union or Asia handle those submissions outside the tool.

Pricing, plan by plan

FRISS

On request
  • Underwriting$undefined/year
    • Risk scoring
    • Application fraud detection
    • Real-time assessment
  • Claims$undefined/year
    • Claims fraud detection
    • Network analysis
    • Investigation prioritization
  • Enterprise Platform$undefined/year
    • All modules
    • Custom models
    • Advanced analytics

Unit21

On request
  • Unit21 Platform$undefined/year
    • Priced by monitored volume and modules, annual contract
    • Fraud, AML and case management packaged separately
    • Implementation and historical data backfill quoted with the subscription

Which should you pick?

Choose FRISS if

  • You need underwriting risk scoring.
  • You work on Web, Api.
  • You also want claims fraud detection.

Choose Unit21 if

  • You need no-code rule builder.
  • You also want sar filing.

Questions people ask

Is FRISS or Unit21 better?
Neither clearly leads. FRISS starts at On request and Unit21 at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, FRISS or Unit21?
FRISS starts at On request and Unit21 at On request.
Does FRISS or Unit21 run on more platforms?
FRISS runs on Web, Api. Unit21 runs on Web.
What is FRISS best used for?
FRISS is most often used for fraud detection, risk assessment, underwriting automation, claims investigation. Of those, fraud detection and risk assessment are not what Unit21 is typically brought in for.
What can FRISS do that Unit21 cannot?
FRISS covers Underwriting risk scoring, Claims fraud detection, Network analysis, Real-time decisioning. Unit21 covers No-code rule builder, SAR filing, Backtesting, Identity and device signals. Both handle Case management.

Answered from the vendors’ own pages

FRISS: How does FRISS publish pricing information?

FRISS does not publicly disclose pricing on their website. The company directs interested parties to contact their sales team directly for pricing and licensing details.

Source
Unit21: Do we need engineers to run it?

Only for the initial data integration. After that the design intent is that risk and compliance staff author and deploy rules themselves.

FRISS: What pricing model does FRISS use?

FRISS does not specify their pricing model on publicly available pages, requiring direct contact with their sales team to discuss pricing structure and implementation costs.

Source
Unit21: Does it file SARs?

Yes, it generates and electronically files suspicious activity reports to FinCEN. Non-US regimes are not covered to the same depth.

Unit21: Can we test a rule before it goes live?

Yes. Backtesting against historical data to see projected alert volume is one of the more useful parts of the product, because alert volume is the real cost.

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