VeriFi AI

AI / ML

将数据转化为智能

我们构建嵌入真实产品的 AI。模型、检索与智能体为使用者与运营团队而设计。

多数 AI 工作止于演示。难的是连接私有数据、保持回答可靠,并将智能放入运营可信任的产品。

围绕您的业务构建的技术

AI Agents

Automate complex workflows using intelligent agents that can retrieve context, take approved actions, and stay inside business rules.

LLM Applications

Build production-ready AI products using modern language models—with evaluation, access control, and a path to change vendors.

RAG

Connect AI systems to private company knowledge so answers come from your documents, data, and policies—not the open internet.

Predictive Analytics

Use data to predict behavior, risk, and business outcomes, then put those predictions where decisions actually happen.

Fraud Detection

Identify suspicious financial activity using intelligent models combined with the rules your risk team already trusts.

AI Automation

Automate repetitive business processes—documents, operations, and review queues—without removing human control.

我们使用的技术栈

PythonLLMsRAGAI AgentsPostgreSQLAWS

面向雄心产品的解决方案

Financial copilots

Assistants that can see accounts and policies, then explain a recommendation in language a customer or analyst can check.

Credit and risk scoring

Models that rank applicants or transactions and show the evidence behind the score.

Operations automation

Agents that prepare cases, draft responses, and route exceptions to the right person.

合作如何推进

  1. 01

    发现

    厘清产品、用户与约束。

  2. 02

    设计

    确定架构、UX 与构建规格。

  3. 03

    构建

    以可评审的增量实现产品。

  4. 04

    验证

    在真实运营条件下证明其有效。

  5. 05

    发布

    在控制措施就绪的情况下部署到生产。

  6. 06

    扩展

    发布后依据生产证据持续改进。

精选工作模式

Quiet operations room with muted financial monitors
Lending & Open Banking

AI 驱动的金融科技平台

金融产品的智能层——决策、解释与运营控制于同一系统。

了解更多

从一场认真的对话开始

分享产品、约束与成功标准。我们会以清晰的方法回应。