Full-Time
Updated on 9/4/2026
AI-powered enterprise application modernization platform
No salary listed
New York, NY, USA
Hybrid
Hybrid work arrangement in New York City.
Bachelor's
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FlowX.AI helps large enterprises modernize legacy systems and accelerate digital transformation by providing a unified AI-powered platform for enterprise application modernization and digital product development. The company enables fast integrations and lower-cost implementations, reducing IT and operational expenses while helping businesses launch and iterate complex omnichannel digital products with strong user experiences. Its platform emphasizes openness and flexibility, avoiding vendor lock-in and supporting easy building and extension of digital platforms in a scalable, secure way. The goal is to deliver long-term, future-proof IT solutions that enable growth, cost reduction, and competitive advantage through modernized applications and faster product development.
Company Size
51-200
Company Stage
Series A
Total Funding
$43.1M
Headquarters
New York City, New York
Founded
2020
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Company Equity
Hybrid Work Options
FlowX.AI brings mission-critical industry AI agents to Gemini Enterprise. FlowX.AI has launched specialized AI agents on Google Cloud Marketplace and as part of Gemini Enterprise, with its agents featured in the Gemini Enterprise for Financial Services launch. August 26, 2026 - 6:47 am Menlo Park, CA, United States, August 25th, 2026, TechnologyWire FlowX.AI is among the first partners bringing specialized industry agents to Gemini Enterprise, with enterprise-grade AI built for complex, high-stakes work where making a mistake is not an option. FlowX.AI today announced that specialized FlowX.AI agents are available through Google Cloud Marketplace and as part of Gemini Enterprise, enabling Gemini Enterprise customers to bring AI into complex, mission-critical workflows. FlowX.AI is bringing specialized industry agents to market as part of Google's Gemini Enterprise industry experiences, with FlowX.AI agents featured in the Gemini Enterprise for Financial Services launch. Financial Services represent one part of a much broader portfolio: FlowX.AI has been building specialized AI agents for mission-critical processes across financial services, insurance, logistics, telecommunications, retail and other complex enterprise environments. From AI assistance to mission-critical work. The first wave of enterprise AI helped people search, summarize, write and find information faster. The next opportunity is considerably harder: putting AI to work inside processes where accuracy and evidence are critical and decisions carry real consequences. In lending, capital markets, insurance, logistics and other complex industries, agentic AI needs to go beyond a plausible answer. It needs to understand the organization's rules, work systematically across large volumes of information, distinguish evidence from inference and make clear where human judgment is still required. FlowX.AI was built for this transition: from AI that assists with work to AI that can safely participate in mission-critical work, and produce measurable positive business outcomes. "The biggest opportunity for enterprise AI is not another layer of assistance but putting AI to work inside the processes that actually run the enterprise," said Ioan Iacob, CEO of FlowX.AI. "Being part of the first wave of industry agents reaching enterprises through Gemini Enterprise gives organizations a much simpler path to specialized AI for high-value workflows where accuracy, evidence and control are non-negotiables." FlowX.AI agents on Google Cloud Marketplace. FlowX.AI launched specialized agents on Google Cloud Marketplace as AI Agent as a Service offerings, compatible with Agent2Agent Protocol and Gemini Enterprise. Two agents illustrate how FlowX.AI approaches high-stakes enterprise work: Loan Pack Completeness. The Loan Pack Completeness agent checks an entire lending file against an institution's own document policy and tells the case handler exactly what is missing, stale, insufficient or contradictory. It validates required documents, quantities and recency, then cross-checks information across the pack to surface genuine inconsistencies. Critical checks such as document absence and policy-date calculations are handled deterministically as opposed to generative reasoning. The agent gives the case handler a clear, evidence-based list of what needs attention and why. Document Extraction and Reconciliation for Capital Markets. The Document Extraction and Reconciliation for Capital Markets agent reads an institutional onboarding pack, extracts the required information and shows where the underlying documents agree, disagree or leave gaps. Working from a customer-defined schema, it returns every value with supporting evidence and page references, reconciles references to the same people or entities, and classifies results as agreed, single-source, conflicting or missing. The agent presents the evidence, discrepancies and gaps for human review. AI that works with the enterprise already in place. Mission-critical AI also needs to work with the technology enterprises already rely on. FlowX.AI's agentic solutions are designed to connect with existing systems, applications and enterprise data and operate within existing business processes. Governance, traceability and human control are built into how agents are deployed and run. This allows organizations to introduce specialized AI around focused, high-value use cases and expand based on proven results. About FlowX.AI. FlowX.AI makes AI production-grade for mission-critical enterprise work. The company enables organizations to deploy, run and govern specialized AI agents inside complex enterprise environments, connecting AI with existing systems, applications, data and processes while maintaining the controls required for high-stakes operations. Built on more than a decade of R&D in enterprise AI and mission-critical technology, FlowX.AI works across financial services, insurance, logistics, telecommunications, retail and other complex industries to move AI from experimentation into production. Contact. Ilya Glezer FlowX.AI, Inc. [email protected] Provided by a third party. Press releases do not reflect the editorial stance of TNW. TNW newsroom and editorial staff were not involved in the creation of this content.
SIGNAL IDUNA and FlowX.AI automate group health policy administration for corporate clients. SIGNAL IDUNA, the leader of the health insurance market in Romania, announces that it has selected FlowX.AI for large-scale deployment across critical business processes, with the first project being the implementation of an AI-powered solution for automating the administration of group health policies for corporate clients. The solution was integrated in a few weeks into SIGNAL IDUNA's existing policy administration systems, with FlowX.AI managing the full deployment so that SIGNAL IDUNA's IT teams remained focused on their own roadmap. The project targets the optimisation of enrolment and insured list update processes, reducing manual intervention and processing times. The platform uses AI to receive and process client requests, driving operational efficiency and improving the experience for partners and policyholders. By automating these workflows, processing time is reduced from several business days to just minutes, if the submitted documentation is complete and correct. "At SIGNAL IDUNA, we continuously invest in solutions that allow us to respond faster and more effectively to our clients' needs. We selected FlowX.AI because they integrate AI agents directly into our existing infrastructure, with full governance and a complete audit trail on every request. We are now processing in minutes what previously took days, and we are preparing to extend this across other operational areas. This initiative creates the foundation for a more efficient and scalable management of our corporate portfolio", says Mihaela Drugă, Board Member at SIGNAL IDUNA Romania. "Most AI projects remain at the edge of the business or get stuck in a permanent pilot phase, not because the models are not capable, but because the architecture cannot support them. At SIGNAL IDUNA, we solved exactly that: AI agents integrated into existing infrastructure, with full governance and zero unsupervised model output in critical decision paths. The results are measurable from day one in production", adds Ioan Iacob, CEO and Co-founder at FlowX.AI. The solution targets ambitious operational outcomes, including a reduction of up to 70% in the manual effort associated with request processing and the automation of a significant proportion of the operational workflows specific to group policy administration. Beyond operational efficiency and reduced error risk, the impact extends to clients directly, with considerably faster response times and quicker access to the health coverage they rely on. The solution also strengthens the handling of time-sensitive cases, where notifications regarding new insured members arrive shortly before medical services are needed. This partnership is part of SIGNAL IDUNA's operational modernisation strategy and its commitment to developing solutions that improve the quality of services delivered to clients and partners. In the next phase, the two companies are exploring the extension of the collaboration to other operational areas, including claims processing.
Unlike traditional systems that become harder to change over time, FlowX.AI 5 was built to get faster with each iteration - enabling business and tech teams to deliver continuously, not just once. At the core is a multi-agent organically evolving architecture that lets financial institutions build once, then continuously adapt, scale, and innovate - without running into the typical slowdown caused by layering change on top of change. “Our customers love FlowX.AI because it’s robust, scalable, beautifully designed - but most of all, because it makes it easy for them to start, to break free from vendor lock-in, and to get back control of their technology. It works with the systems they have, with the infrastructure they have, and with the teams they or their partners have. No inflexible point solution, no limiting no-code traps, no need to learn obscure skills. Just a powerful, flexible platform that fits how people in banks really want to build.”, said Ioan Iacob, CEO and founder FlowX.AI
When Reputation Meets RealityFor decades, banking has been seen as the pinnacle of risk management. Compliance frameworks, regulatory oversight, and sophisticated financial models create the impression of an industry that leaves little to chance. Yet, beneath this perception lies a critical weakness. While banks excel at monitoring financial risk, operational resilience remains a glaring vulnerability.Industries such as aviation, oil & gas, and automotive manufacturing take a fundamentally different approach to risk. Every system is continuously monitored, and real-time feedback loops ensure that even minor irregularities are addressed before they escalate. In banking, however, gaps in operational oversight persist, with many institutions relying on post-event analysis rather than continuous, preventive monitoring.The result? A sudden spike in trading volumes or an unexpected flood of customer transactions can overwhelm systems, creating backlogs that take days to clear
For decades, banking has been seen as the pinnacle of risk management. Compliance frameworks, regulatory oversight, and sophisticated financial models create the impression of an industry that leaves little to chance. Yet, beneath this perception lies a critical weakness. While banks excel at monitoring financial risk, operational resilience remains a glaring vulnerability.Industries such as aviation, oil & gas, and automotive manufacturing take a fundamentally different approach to risk. Every system is continuously monitored, and real-time feedback loops ensure that even minor irregularities are addressed before they escalate. In banking, however, gaps in operational oversight persist, with many institutions relying on post-event analysis rather than continuous, preventive monitoring.The result? A sudden spike in trading volumes or an unexpected flood of customer transactions can overwhelm systems, creating backlogs that take days to clear