Anat Goldstein

Ms. Anat Goldstein

http://www.finoptima.ai

President / CIO| FinOptima Solutions

http://www.finoptima.ai

President / CIO, FinOptima Solutions

Email	[email protected]
Secondary Email	[email protected]
Office	(o) +1 310.926.8833
vCard

About Us / Company Bio:

FinOptima is a real-time fraud prevention platform purpose-built for community banks and credit unions. We help financial institutions stop high-risk fraud — including synthetic identities, account takeovers, and check fraud — by breaking down data silos and delivering unified, explainable intelligence that fits directly into existing decision workflows.

Our mission is to democratize advanced fraud protection for the 8,000+ small and midsize financial institutions underserved by legacy vendors. With FinOptima, CFIs can reduce fraud losses, improve compliance confidence, and move faster — without overloading their teams or tech stack.

What We Do (Value Proposition):

Real-Time, Unified Intelligence:
We combine voice biometrics, behavioral analytics, identity data, and transaction patterns to provide contextual fraud alerts — not just scores.
360° Customer View:
FinOptima links signals across onboarding, call centers, and account activity to detect coordinated fraud patterns that point solutions miss.
No-Code Deployment:
We offer easy onboarding through dashboards or APIs with minimal IT lift — pilots can launch in days, not months.
Explainable & Actionable Results:
Our platform delivers risk alerts with clear reasoning and recommended actions, built to support compliance, operations, and risk teams.
Designed for Community Banks:
We understand CFIs operate with leaner teams and tighter budgets. Our pricing, support, and feature set are tailored to fit their workflows — not retrofit from an enterprise model.
Modular & Scalable:
Start with targeted modules (e.g., check fraud) and expand over time. No need to rip-and-replace.
Collaborative Defense Model:
Through anonymized data sharing and federated learning, we enable safe, peer-based fraud detection across institutions — strengthening the network without compromising privacy.