{"editorial":{"content_id":"f8243990-3b70-4b71-9459-b9f37a293146","slug":"vitrify-ai-20261030-323cbc","content_type":"news","title":"Vitrify用AI整合私募信贷数据，日跟踪万只证券","summary":"巴西金融数据平台Vitrify开发基于人工智能的数据基础设施，整合碎片化的私募信贷信息，帮助市场参与者跟踪持仓与辅助决策。","body":"巴西金融数据平台Vitrify正在开发一套基于人工智能、自动化和金融市场专业知识的数据基础设施，以应对巴西私募信贷市场信息碎片化和缺乏标准化的挑战。据该公司介绍，其平台每日跟踪约1万只证券，每项资产涵盖超过55个数据点，信息来自8个来源。\n\nVitrify首席执行官兼联合创始人Edson Lopes与合伙人Daniel Magalhães表示，挑战不只是把AI模型应用于金融文件，而是构建能够采集、验证、关联和追踪不同来源信息的架构，且运营效率与成本要匹配市场规模。Lopes称，仅把数据交给AI并不能解决问题，没有可靠数据支撑的AI无法奏效。\n\n平台结合爬虫等自动化采集工具与API直接集成，数据先进入保留原始信息的原始层，再经过标准化、记录关联和信息仲裁等步骤，以确定特定情形下应以哪条数据为准。当分歧超出预期参数时，系统可将案件转交人工评估。\n\nMagalhães解释，并非某个来源整体优于另一个，而是在某条具体信息上可能各有优劣。平台还参考股东会纪要、补充条款等官方文件，并采用主数据管理（MDM）机制记录数据来源、处理历史和审批或弃用过程，以实现可追溯与治理。\n\nVitrify采用软件即服务（SaaS）模式，客户分为三类：资本配置方（经纪商、银行、投资基金、家族办公室、独立代理办公室等）、资本市场参与者（证券化公司、受托代理人、投资银行等）以及债券发行企业。平台提供证券检索、发行历史查询、特征比较、行业分析和按CNPJ汇总查询等功能，还可识别持有特定资产的基金，以帮助寻找交易对手。\n\n公司还在开发Vitrify AI，计划以专有架构和七个专业子代理，将积累的信息基础与市场经验转化为金融从业者的辅助工具。Magalhães称，客户已要求通过API和MCP等协议集成，说明其正在构建自有应用；挑战在于从个人生产力迈向机构化使用，具备集中存储、安全、合规和工作流整合。\n\nVitrify押注，随着巴西资本市场发展，私募信贷作为融资替代方案的重要性上升，但信息分散、信息不对称和部分资产流动性低等运营挑战仍存。公司认为，数据基础设施可降低这些低效，更高透明度也有助于在二级市场撮合买卖双方。","why_it_matters":null,"cbi_observation":null,"direction_tag":"巴西","primary_category":"金融监管","secondary_topics":["金融","科技","行业趋势"],"content_level":"编辑整理","event_type":"公司动态","audience_tags":[],"event_location":null,"verification_status":"unverified","published_at":"2026-10-30T11:06:33.168Z","display_date":"2026-10-30","source_published_at":null,"source_url":"https://tiinside.com.br/29/10/2026/vitrify-usa-ia-para-estruturar-dados-e-ampliar-a-transparencia-no-mercado-de-credito-privado/","source_name":"TI 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