智慧金融Smart Finance
金融级大模型解决方案。从智能投研、风控增强到全渠道智能客服，私有化部署与全链路审计满足金融行业最严苛的监管要求，让科技回归金融服务实体经济本源。Financial-grade LLM solutions: research copilots, risk augmentation and omnichannel service — on-prem deployment with full audit trails for the strictest regulators.
大模型时代的金融科技革命The FinTech Revolution in the LLM Era
监管态势与技术机遇。Regulatory landscape and technical opportunity.
金融业是大模型技术价值最高的行业之一：知识密集、数据海量、交互高频。投研报告的生成、风控规则的解读、客户服务的应答——这些场景天然契合大模型能力。与此同时，金融监管对数据安全、算法合规、消费者保护提出了全行业最严苛的要求。Finance is among the highest-value LLM verticals: knowledge-dense, data-rich, interaction-heavy. Yet it also faces the strictest requirements on data security, algorithm compliance and consumer protection.
钛一数智以"私有化大模型平台 + 金融场景应用 + 全链路可观测"的组合，帮助金融机构在合规前提下释放大模型价值：数据不出域、模型可审计、内容有兜底，让每一句 AI 生成的话都经得起监管检验。TaiYi helps financial institutions unlock LLM value within compliance: sovereign data, auditable models, safeguarded content — every AI sentence stands up to regulatory scrutiny.
智慧金融总体架构Smart Finance Architecture
"一平台两体系 N 场景"的金融智能化蓝图。One platform, two systems, N scenarios.
核心应用场景Key Scenarios
覆盖前中后台的金融智能化全景。Front-to-back intelligence across the institution.
研报摘要、财报解读、行业对比分析，分析师研究效率提升 3 倍。Report summarization, 3x research efficiency.
监管文件智能解析、授信报告辅助生成、欺诈模式识别。Regulation parsing, credit report assist.
APP/网银/电话全渠道统一智能应答，复杂问题无缝转人工。Unified intelligent response, human handoff.
合同、协议、营销文案合规风险点自动识别，审查效率提升 70%。Automated risk-spotting in documents.
交易行为异常检测与团伙识别，误伤率下降 50%。Anomaly and ring detection, -50% false positives.
制度、流程、产品知识一站式问答，新员工培训周期缩短一半。Policy and product Q&A, faster onboarding.
标准化交付方案Standardized Delivery
金融行业交付规格标准。Financial delivery specifications.
| 合规与安全Compliance & Security | |
|---|---|
| 监管合规Regulatory | 符合《金融科技发展规划》及生成式 AI 应用的备案要求Aligned with fintech and GenAI regulations |
| 等保密评MLPS & crypto | 等保三级 + 商用密码应用安全性评估MLPS L3 + crypto evaluation |
| 数据安全Data security | 客户数据全生命周期加密，脱敏后才可进入训练环节Lifecycle encryption, masked training |
| 审计留痕Audit trails | 模型输入输出、决策依据 100% 留存，支持追溯调阅Full I/O retention and retrieval |
| 部署规格Deployment | |
| 部署形态Deployment | 总行机房/金融行业云全私有化部署Fully on-prem at HQ or financial cloud |
| 算力配置Compute | 典型 16–128 卡推理集群，双活容灾可选Typical 16–128 GPUs, active-active |
| 性能规格Performance | 核心场景 P95 时延 < 800ms，峰值万级并发P95 < 800ms, 10K+ peak concurrency |
| 灾备规格DR | 同城双活，RPO ≈ 0，RTO < 5 分钟Active-active, RPO≈0, RTO<5min |
| 实施与服务Delivery & Service | |
| 实施周期Timeline | 试点场景 90 天，机构级推广 12–18 个月90-day pilots, 12–18 month rollout |
| 模型定制Model tuning | 金融语料增量预训练 + 场景 SFT，领域评测基准领先Domain pretraining + scenario SFT |
| 效果验收Acceptance | 回答准确率、幻觉率、合规通过率量化验收Quantified accuracy and compliance KPIs |
| 持续运营Managed ops | 模型月度迭代、知识库周更新、7×24 保障Monthly model, weekly KB, 7×24 ops |
经客户验证的价值Proven Value
更多行业方案More Industries
在最强合规约束下释放大模型价值LLM Value Under the Strictest Rules
支持监管沙盒内 POC 验证，提供算法备案与合规评估全程支持。Sandbox POCs supported, with full algorithm-filing and compliance assistance.