Silent Eight
Policy-bound AI decisioning for financial crime compliance
By Silent Eight Pte. Ltd. · HQ Singapore, Singapore · 4.0/5 Value-Position score (estimate)
Positioning guardrails
Best for
- Tier-1 banks and large financial institutions with high-volume sanctions, AML, fraud and trade-surveillance alert queues
- Compliance leaders who need explainable, traceable and defensible decisions under regulatory and model-risk scrutiny
- FCC organisations with documented policy frameworks that want to scale decisioning without proportionally scaling analyst headcount
- Institutions already running case-review workflows and able to integrate a decisioning layer into existing compliance architecture
Ideal size: 50+ compliance/FCC staff people · Regulated financial institution with mature FCC policy and model-risk governance
Not for
- Small banks or early-stage fintechs without a dedicated financial crime compliance or model-risk function
- Non-financial verticals that do not make sanctions, AML, fraud or CDD decisions
- Buyers who need public per-seat pricing and self-serve onboarding before procurement
- Teams looking for a general-purpose agentic AI productivity tool rather than an FCC decisioning platform
Value metrics scorecard
Time-to-Value
Enterprise rollout; multi-month deployment
~180 days to first production value
Total Cost of Ownership
On request
Not published; enterprise contract pricing scoped to use case and volume
Implementation Friction
4/5
Engineering + admin effort required
Value-Position score
out of 5 · model estimate
Full cost breakdown
Mandatory implementation fee
None
Seat tiers
Not listed
Add-on costs
- None
Company & support
Who is behind Silent Eight, and how your team gets help once it is live.
Company
- Founded
- Not recorded
- Headquarters
- Singapore, Singapore
How you get support
We haven’t recorded support channels for Silent Eight yet. Nothing here means unverified — not absent.
Market position
Where Silent Eight 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
- Silent Eight
- Cleareye.ai
- Abrigo
- Hawk
- WorkFusion
- Ncontracts
Add or change companies
Up to 10 companies including Silent Eight. 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 Silent Eight ships in AI, and what it asks of your ecosystem.
AI features shipped
Vendor describes AI Agents that execute financial crime investigations and decisions within policy-bound, governed frameworks, with applied reasoning and supporting evidence produced for each outcome. General-purpose agentic AI is contrasted as producing only recommendations; Iris 7 is positioned as executing decisions with full traceability, policy mapping and QA under human accountability.
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
- Full audit trail
Compliance attestations
* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.
Bottom line
Silent Eight's Iris 7 applies policy-bound agentic AI to financial crime compliance. AI agents replicate the judgement of experienced analysts to execute decisions across sanctions screening, AML transaction monitoring, PEP and adverse media screening, CDD and regulatory reporting. Live in FCC production since 2018 with Tier-1 banks including HSBC, it stresses explainability, traceability and audit-ready governance under human accountability. Pricing is not published; deployments are enterprise-scale.
Frequently asked questions
How is Iris 7 priced?
Silent Eight does not publish pricing for Iris 7. The site describes enterprise deployments embedded in Tier-1 banks' compliance operations, so expect a negotiated annual contract scoped to use cases and alert volume. Contact the vendor directly for a quote and to confirm any implementation fees.
How does Iris 7 keep AI decisions auditable for regulators?
The vendor states that Iris 7 executes decisions inside governed, policy-bound frameworks that are explainable, auditable and defensible under regulatory scrutiny, with full traceability, policy mapping, quality assurance and evidence-backed context produced for each outcome. It is positioned as built for audit and model-risk management, with accountability retained by the institution.
What financial crime use cases does Iris 7 cover?
The vendor lists AML transaction monitoring, sanctions screening, PEP and adverse media screening, customer due diligence and enhanced due diligence, regulatory reporting decisioning, and QA and controls. These are all high-volume environments where consistent risk interpretation and defensible escalation decisions matter.
How long does implementation take and what integration work is required?
Silent Eight does not publish implementation timelines. The site describes integration into existing compliance architectures and a hands-on method that shadows frontline teams and co-designs the system, implying a project-style rollout rather than self-service setup. Confirm timelines, data requirements and integration scope directly with the vendor.
Does Iris 7 replace compliance analysts?
No. The vendor positions Iris 7 as AI operating under human accountability: decision ownership and escalation stay with the institution, and human expertise is redirected to defining policy intent, setting decision boundaries and reviewing exceptions rather than clearing every alert.
Which institutions is Iris 7 a good fit for?
It is aimed at institutions responsible for high-stakes sanctions, AML, fraud and compliance decisions where volume, complexity and regulatory scrutiny intersect, and its public references are Tier-1 banks such as HSBC and SCB. Smaller organisations without a dedicated FCC policy and model-risk function are a weaker fit.