FluxForce
FluxForce sells AI agents to banks, fintechs, insurers and trade finance firms for fraud detection, identity verification, regulatory compliance, zero trust security and payment security, with 28 specialized agents organized into squads that share signals in real time. Its fraud agent scores every transaction in under two seconds with machine learning and more than 100 deterministic rules, and its compliance agent maps activity to frameworks including BSA and AML rules, DORA, the EU AI Act, GDPR, MiFID II, OFAC and NYDFS requirements.
Autonomy is tiered by risk: low risk actions are automated, medium risk cases go to a person by default and high risk cases are always reviewed, every decision is stored with its reasoning in a tamper evident record, and any agent can be stopped with a kill switch. It deploys as SaaS, on premises or hybrid, typically within 30 days after a shadow mode period, and is operated by FluxForce AI Pvt. Ltd. in Punjab, India.
Capability Axes
Capability grades
15 of 15 axes rated · 8 graded A or B
Twenty eight specialized agents in three squads score transactions, verify identities, map activity to regulations and monitor security, and beneath them sit an evidence store and controls rather than a rules product a bank would buy alone. Without the models there is no product to sell.
Low risk actions run autonomously with logging, medium risk cases go to a person by default, and high risk cases always get human review, which FluxForce calls non negotiable. Autonomy is set per agent, a kill switch can stop any agent or the whole system, and deployments start in shadow mode, with each decision stored with its reasoning in a tamper evident record.
Fraud agent metrics come with their stage: AUC of 99.8 percent, precision of 97.07 percent and recall of 96.67 percent from production, last validated in February 2026, with a feature importance breakdown on each decision. Validation method goes undescribed, and the agent pages state no alignment to the Federal Reserve's model risk guidance.
Production figures on the compliance agent page claim a 75 percent cost reduction and a 300 percent return in 18 months, while logos such as Varipay and Expedia carry no figures. The vendor's own numbers disagree across pages, with the homepage citing 89 percent accuracy and 0.1 percent false positives against different figures on the fraud agent page.
Sensitive fields are tokenized on ingestion, yet agents share signals in real time across squads, and nothing says whether one institution's signals inform agents serving another. Whether customer data trains the models, or what the SaaS deployment retains, is also unstated.
The June 2026 privacy policy from FluxForce AI Pvt. Ltd. covers website visitors and product users and expressly excludes the personal data customers process with the product. That data falls under separate data processing agreements that are not published.
Zero trust principles and the privacy policy's access controls, encryption and monitoring are the extent of it; no certification, attestation or trust center is published. Its footer links a security page that is a placeholder.
Named frameworks anchor the compliance agent, BSA and AML rules, DORA and MiFID II among them, and each fraud decision carries its own sanctions and anti money laundering mappings. Behind the position stands no register entry or filing path, and multi jurisdiction conflict resolution is still in development by its own account.
Explainability is treated as a control, with plain English reasoning attached to each decision, and its pages write openly about biased AI and the EU AI Act's high risk class for credit decisions. Yet no testing across populations is published for the identity agent's liveness and document checks or for fraud scoring.
An agent's wrong call carries no published guarantee or indemnity from FluxForce. A customer declined or flagged by the onboarding or fraud agents has no described route to an explanation or a challenge.
Processors for hosting, analytics and email are described by function only, and no model provider is named for any agent. For agents whose decisions customers must defend to examiners, the model provider is the disclosure that counts.
Public documentation covers how agents connect to data sources, and the fraud agent runs as a sidecar linked by API to a core banking system, payment gateway or card processor without migration. Vendor systems stay unnamed, and the overview carries no API reference.
SaaS, on premises and hybrid deployment are offered, with Google Cloud, Microsoft Azure and Amazon Web Services named as platforms. On premises and hybrid models get a line rather than documentation, and SaaS regions are not given.
Quotes come only through contact with the team, and no price, plan or basis of charge is published. Value is pitched as cost reduction, yet whether charges follow agents deployed, frameworks covered or transactions scored goes unexplained.
Industry pages cover retail and commercial banks, insurance and trade finance, with agents for fraud, identity and compliance alongside. No institution is named in any segment.
Compared With
Most editorial comparisons pair two vendors the index assesses as direct competitors for the same buyer. Some pair vendors that are adjacent rather than rival, where the useful question is where one ends and the other begins. Each carries a verdict, the buyer conditions that favor each vendor, and a graded side by side.
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Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
No pricing data has been verified for this vendor. Pricing information will be published here once confirmed through vendor disclosure or third-party estimation.