


28 specialized agents
See an agent work your alert queue
AI agents investigate and prepare the case. Your analysts decide, with evidence an examiner can replay.View All Solutions
Rhea LedgerSenior AI KYC/AML Compliance DirectorKYC/AML & Sanctions Screening
Iris VermaSenior AI Identity Verification SpecialistIdentity Verification & KYC
Nova SentinelLead AI Zero Trust Security ArchitectZero Trust Access Security
Cian GatekeeperLead AI Customer Identity DirectorIdentity Management & Account Takeover
Zara TrustwellDirector AI Regulatory ComplianceSTR / SAR Reporting & Regulatory Evidence
Arin NarrateSenior AI Audit Trail SpecialistAudit Trail & Evidence Management
Riya IntelDirector AI Governance & Model RiskModel Governance & Model Risk
Nolan BriefwellSenior AI Incident Response NarratorCase Management & Investigations


28 specialized agents
See an agent work your alert queue
AI agents investigate and prepare the case. Your analysts decide, with evidence an examiner can replay.View All AI Agents


28 specialized agents
See an agent work your alert queue
AI agents investigate and prepare the case. Your analysts decide, with evidence an examiner can replay.View All IndustriesFluxForce is the Agentic OS for Regulated Industries. Today that means 28 AI agents for financial crime and compliance.
The agent investigates and prepares the case, your analyst decides, and every decision leaves evidence an examiner can replay. You decide how much each agent does on its own, and every one has a kill switch.
A compliance team spent 11 days preparing for a single audit. Not because the data didn't exist. Because it was scattered across six different tools, three spreadsheets, and someone's inbox.
The fraud tool flagged transactions. The KYC system verified identities. The compliance platform tracked regulations. None of them talked to each other. The gaps between those tools? That's where the losses and fines happened.
FluxForce: an operating system where 28 AI agents work across three squads, share signals in real time and leave evidence an examiner can walk through for every case they prepare.

"What if AI agents actually shared intelligence in real time?"
Sahil Kataria watched this play out across multiple financial institutions. Same pain, different org chart. FluxForce started with a simple question that led to a complete evidence trail, ready before the regulator asked.
Every action an agent takes is logged, explained and reviewable, and kept in tamper-evident evidence storage. We built that first. Everything else runs on top of it.
Every AI agent explains its work at three levels: technical detail, operational context and plain-language reasoning you can hand to a regulator.
Run in observation mode alongside your current system, with nothing enforced. Add more agents when you've seen the results.
Ask about any capability and you'll get a straight yes or no, including what isn't built yet.
Banks, fintechs and insurers run monitoring, screening, onboarding, case work and reporting on separate tools with separate teams. We built one OS where AI agents do the investigation work and your people make the calls.
The people behind the agents

Sahil started FluxForce after watching the same compliance gaps play out across multiple financial institutions.
FluxForce on LinkedInWe're hiring people who ship carefully: ML, backend, frontend and security engineers, plus compliance specialists.
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