Financial Verification Agent Platform 金融验证智能体平台

Infuse source-traceable trust into every AI-generated report. 为每一份AI报告注入可溯源的信任。

FinTruth audits the numbers, facts, and claims behind every machine-written financial document — intercepting hallucinations before they become financial risk. Built by Acellent Technologies, a wholly-owned subsidiary of Advanced Biomed Inc. (NASDAQ: ADVB). FinTruth 对每一份机器生成的金融文件中的数字、事实与论断进行系统性审计——在 AI 幻觉演变为金融风险之前将其拦截。由 Acellent Technologies 研发,该公司为 Advanced Biomed Inc.(NASDAQ: ADVB)的全资子公司。

3×Layer
Verification Stack 三层验证体系
4×Engine
Verifier Modules 四大校验模块
~1,000
Credit Mgrs Served 已服务信贷经理
AI Credit Report — Live Audit AI 信贷报告 · 实时审计
VERIFYING 验证中
Cash flow identity verified 现金流恒等式 已验证
Guarantor entity ambiguous 担保主体存疑
EBITDA / debt ratio out of bound EBITDA / 负债比 越界
The Problem 问题与挑战

When LLMs write finance, hallucinations become risk. 当大模型撰写金融报告时,幻觉即风险。

Fabricated figures, confused entities, contradictory logic — LLMs introduce six categories of hallucinations into financial reports, directly threatening credit, compliance, and regulatory decisions. 虚构数据、主体混淆、内部矛盾——大模型在金融报告中引入六类典型幻觉,直接危及信贷决策、合规审查与监管报送的安全边界。

Numerical数值类

Critical

Fabricated financial figures, calculation errors, inconsistent totals across statements. 虚构财务数据、计算错误、报表间数值不一致。

Bad credit decisions 错误信贷决策

Entity主体类

Critical

Confused affiliates, misattributed identities, broken guarantor chains. 关联方混淆、主体身份归属错误、担保链断裂。

Guarantee chain errors 担保链路错误

Temporal时序类

High

Wrong event sequence, incorrect dates, anachronistic references. 事件顺序错误、日期错位、时点引用倒置。

Compliance issues 合规风险

Logical逻辑类

High

Internal contradictions between sections, reasoning gaps, unsupported leaps. 章节间内部矛盾、推理链跳跃、未支撑的结论。

Rating inaccuracies 评级失真

Attribution引证类

Medium

Incorrect policy citations, regulations misquoted, sources misattributed. 政策法规引用错误、监管文本错引、来源归属偏差。

Legal risks 法律风险

Degree程度类

Medium

Overly optimistic or pessimistic framing, sentiment-rating mismatch. 过度乐观或悲观的表述、情感与评级不匹配。

Bias accumulation 偏差累积
Core Technology — Layer 01 核心技术 · 第一部分

A three-layer verification stack. 三层渐进式验证体系。

Progressive validation: hard constraints guarantee baseline safety, logic ensures correct reasoning, soft constraints elevate quality. 渐进式验证:硬约束保障安全底线 → 逻辑层确保推理正确 → 软约束提升报告质量。

Layer01

Hard Constraints 硬性约束层

Must be 100% satisfied. Any violation triggers an error and blocks output. 必须 100% 满足。任一违反即触发错误,阻断输出。

  • Accounting identity verification会计恒等式验证
  • Regulatory red-line checks监管红线检查
  • Mathematical invariant constraints数学不变量约束
  • Entity uniqueness validation主体唯一性验证
Layer02

Logical Consistency 逻辑一致性层

Validates reasoning chains, ensuring conclusions follow from premises and evidence. 验证推理链有效性,确保结论由前提与证据合理推导。

  • Rating-indicator consistency评级与指标一致性
  • Guarantee chain logic担保链逻辑
  • Temporal logic constraints时序逻辑约束
  • Causal relationship checks因果关系检查
Layer03

Soft Constraints 软性约束层

Confidence-scored: violations are tolerable but flagged for review and quality scoring. 置信度评分:违反可容忍但会标记供复核,并参与质量评分。

  • Market common sense checks市场常识检查
  • Industry benchmark alignment行业基准对齐
  • Narrative-sentiment consistency叙述与情感一致性
  • Completeness checks完整性检查
Core Technology — Layer 02 核心技术 · 第二部分

Four verifier engines, one verdict. 四大校验引擎,一致裁定。

Each module attacks a different failure mode — numbers, logic, ontology, narrative — then converges into a unified audit trail. 四个引擎各自针对不同的失败模式——数值、逻辑、本体、叙述——最终汇聚为统一的审计链。

01

Numerical Consistency Verifier 数值一致性校验器

Constraint-solving financial data verification 基于约束求解的财务数据验证
  • Balance sheet identity资产负债恒等式
  • Cash flow reconciliation现金流勾稽
  • Financial ratio bounds财务比率边界
  • Auto-fix suggestions自动修正建议
02

Logical Consistency Verifier 逻辑一致性校验器

Financial report business logic verification 金融报告业务逻辑验证
  • Rating-indicator match评级与指标匹配
  • Guarantee chain logic担保链逻辑
  • Temporal constraints时序约束
  • Causal relationships因果关系
03

Ontology Consistency Verifier 本体一致性校验器

Ontology-based entity-relation verification 基于金融本体的实体关系验证
  • Entity type checking实体类型检查
  • Relation constraints关系约束验证
  • Concept consistency概念一致性
  • Knowledge graph alignment知识图谱对齐
04

Narrative Consistency Verifier 叙述一致性校验器

Text-to-data consistency verification 文本与数据的一致性验证
  • Narrative-data alignment叙述与数据对齐
  • Sentiment-rating match情感与评级匹配
  • Terminology norms行业术语规范
  • Completeness checks完整性检查
System Architecture 系统架构

From ingestion to auditable output. 从数据接入到可审计输出。

FinTruth wraps Smith RM — the financial reasoning core — with a Formal Verification Engine and a financial rules knowledge base, end-to-end auditable. FinTruth 以金融推理内核 Smith RM 为中枢,外层嵌套形式化验证引擎与金融规则知识库,全链路可审计。

01 Data Ingestion数据接入层
Corporate Credit企业信贷 Reports / Statements报告 / 报表
Financials财务数据 3 statements + notes三表 + 附注
Registry / Judicial工商 / 司法 Public records公开记录
Industry Data行业数据 Benchmarks基准对比
02 Smith RM CoreSmith RM 推理内核
Reasoning Engine金融推理引擎 Vertical financial LLM金融垂域大模型
Step-by-step API分步验证 API Per-claim verification逐条论断校验
Self-Repair自修复机制 Auto-fix loop闭环修正
Confidence置信度 Score per claim每条评分
03 FV Engine形式化验证引擎
Numerical Verifier数值校验器 Numerical
Logical Verifier逻辑校验器 Logical
Ontology Verifier本体校验器 Ontology
Narrative Verifier叙述校验器 Narrative
04 Output Layer输出层
Verification Report验证报告 Conclusions + evidence结论 + 证据
Format Conversion格式转换 PDF / DOCX / JSON
Audit Trail审计链路 Immutable log不可篡改日志
Confidence Scores置信度评分 Per-claim & overall条目 & 总体
Knowledge Base 知识库 Accounting Standards · Banking Regulations · Industry Benchmarks · Internal Policies 会计准则 · 银行业监管规则 · 行业基准 · 内部政策
Verification Workflow 验证工作流

Every step has a checkpoint. 每一步都有验证检查点。

Five stages from raw data to narrative report. At each stage, a paired verification checkpoint produces evidence and a confidence delta. 从原始数据到叙述报告的五个阶段,每个阶段都配套一个验证检查点,产出证据与置信度增量。

01

Data Collection数据采集

Credit reports, financial statements, business registry data. 采集信贷报告、财务报表、工商登记信息。

Checkpoint 01 检查点 01

Cross-source validation, missing value detection. 跨数据源交叉验证,缺失值检测。

02

Fundamental Analysis基本面分析

Smith RM performs financial analysis on aligned data. Smith RM 在对齐后的数据上执行金融分析。

Checkpoint 02 检查点 02

Financial data consistency, industry benchmarking. 财务数据一致性,行业基准对标。

03

Risk Identification风险识别

Risk factor identification and severity assessment. 风险因子识别与严重度评估。

Checkpoint 03 检查点 03

Risk-evidence chain completeness, guarantee logic. 风险与证据链的完整性,担保逻辑。

04

Rating Recommendation评级建议

Credit rating generation with full reasoning trace. 生成信用评级并保留完整推理过程。

Checkpoint 04 检查点 04

Rating-indicator consistency, historical reasonability. 评级与指标一致性,与历史评级合理性比对。

05

Report Generation报告生成

Narrative report output with embedded evidence anchors. 生成带证据锚点的叙述性报告。

Checkpoint 05 检查点 05

Narrative-data consistency, sentiment-rating alignment. 叙述与数据一致性,情感与评级对齐。

Product Interface 产品界面

Three-panel evidence: claim × report × source. 三联溯源:论断 × 报告 × 原文。

Claims classified as pass / suspect / error. Click any claim — the report highlights its position, and the source PDF jumps to the exact paragraph. 每条论断被分类为通过 / 存疑 / 错误。点击任一论断,报告自动高亮其位置,源 PDF 同步跳转至对应段落。

app.fintruth.ai / reports / FR-2026-04812 / detailed-analysis
● Live Audit ● 实时审计
Claims论断列表 47
✓ Total revenue ¥1.247B (FY2025) 2025年营收 ¥12.47亿
✓ Net margin 18.4% within sector range 净利率 18.4%,位于行业区间
? Guarantor ABC Co. — entity ambiguous 担保方 ABC公司——主体存疑
✕ EBITDA / Debt = 0.42, source says 0.31 EBITDA / 负债 = 0.42,原文为 0.31
✓ Operating cash flow ¥234M verified 经营现金流 ¥2.34亿 已验证
✓ Rating BBB+ matches indicators 评级 BBB+ 与指标匹配
AI-Generated ReportAI 生成报告 FR-2026-04812

The company reported total revenue of ¥1.247B for fiscal year 2025, representing a year-over-year growth of 14.2%. Profitability remained robust with net margin at 18.4%, comfortably within industry benchmarks. 该公司在2025财年实现营业收入 ¥12.47亿,同比增长 14.2%。盈利能力保持稳健,净利率达 18.4%,位于行业基准区间内。

The guarantee structure involves ABC Co. as primary guarantor — however, the registry shows two affiliated entities sharing this name; the report does not disambiguate. 担保结构中,ABC公司作为主要担保方——但工商登记显示存在两家同名关联实体,报告未予区分。

Leverage analysis indicates EBITDA-to-debt ratio of 0.42, suggesting moderate financial flexibility. The credit committee assigned a rating of BBB+ based on these indicators. 杠杆分析显示EBITDA / 负债比为 0.42,表明财务弹性中等。信贷委员会基于此指标给出 BBB+ 评级。

Evidence & Scores证据 & 评分
Overall Trust Score 整体可信度评分
94.7
SOURCE — Annual Report 2025, p.47 来源 — 2025年年报 第47页
"Total operating revenue for the period reached RMB 1,247,000,000..." "报告期内实现营业总收入人民币1,247,000,000元……"
CONFLICT — Audited Statement p.112 冲突 — 审计报告 第112页
"EBITDA to total debt ratio of 0.31 as of year-end..." "截至年末,EBITDA与总负债比率为 0.31……"
Smart Highlighting智能高亮

Auto color-coded by status: pass / suspect / error across the entire report. 按状态自动配色:通过 / 存疑 / 错误,贯穿整份报告。

Multi-dim Scoring多维评分

Independent chapter scores: completeness, data accuracy, narrative quality. 章节独立评分:完整性、数据准确性、叙述质量。

Ops Dashboard运行看板

Real-time validation time, token usage, retry counts, system health. 实时验证耗时、Token 用量、重试次数、系统健康度。

Audit Export审计导出

Export audit reports with conclusions and full evidence chains. 导出审计报告,含结论与完整证据链。

Target Sectors 目标客群

Built for every financial workflow. 服务每一个金融工作流。

From commercial banks to regulators — wherever AI-generated financial content meets capital, compliance, or credit decisions. 从商业银行到监管机构——凡AI生成的金融内容涉及资本、合规或信贷决策之处,皆为我们服务的场景。

Research & DD 研究与尽调

Securities & Funds 证券与基金

  • Research report data & logic checks研究报告的数据与逻辑校验
  • IPO due diligence consistency reviewIPO 尽调一致性复核
  • Fund product evaluation verification基金产品评价验证
Brokerages · Mutual funds · PE/VC 券商 · 公募基金 · 私募与创投
Underwriting 承保与理赔

Insurance Companies 保险公司

  • Underwriting report data validation承保报告数据验证
  • Actuarial & solvency report checks精算与偿付能力报告校验
  • Claims audit evidence chain理赔审核证据链构建
Life · P&C · Reinsurance 寿险 · 财险 · 再保险
Valuation 估值与风控

Asset Management 资产管理

  • Portfolio risk report verification投资组合风险报告验证
  • Valuation model output consistency估值模型输出一致性
  • Periodic disclosure report audit定期披露报告审计
Trusts · AMCs · Wealth management 信托 · 资管 · 财富管理
Compliance 合规驱动

Regulators & Auditors 监管与审计

  • Financial report compliance review金融报告合规复核
  • Algorithm explainability audit算法可解释性审计
  • AI content regulatory standardsAI 内容监管标准
Financial regulators · Audit firms · Law firms 金融监管 · 会计师事务所 · 律所
Enablement 技术赋能

FinTech Companies 金融科技公司

  • AI model output quality verificationAI 模型输出质量验证
  • Financial data service credibility金融数据服务可信度
  • Smart risk control platform audit智能风控平台审计
FinTech · Data vendors · AI platforms 金融科技 · 数据厂商 · AI 平台
Investor Relations 投资者关系

Listed. Audited. Operational. 已上市。已审计。已落地。

FinTruth is the financial verification product of Acellent Technologies (Hong Kong) Co. Limited, a wholly-owned subsidiary of Advanced Biomed Inc. (NASDAQ: ADVB) since April 2026. Live in production at a top-tier Chinese commercial bank, serving roughly 1,000 credit managers daily. FinTruth 由 Acellent Technologies (Hong Kong) Co. Limited 研发,该公司自 2026 年 4 月起成为 Advanced Biomed Inc.(NASDAQ: ADVB)的全资子公司。产品已在中国某头部商业银行投入生产,日均服务约 1,000 名信贷经理。

Visit Investor Center 访问投资者中心 →
ADVB NASDAQ · LIVE
Advanced Biomed Inc.
Acellent Technologies (HK)
FinTech · AI Infrastructure 金融科技 · AI 基础设施
Production deployment 规模化部署

Stop trusting AI. Start verifying. 不要再信任 AI。开始验证它。

Book a live demonstration. We'll audit a real AI-generated report from your team in 15 minutes — and show you exactly what the model got wrong. 预约一场实时演示。我们将在 15 分钟内对您团队的一份真实 AI 报告进行审计,并明确指出模型在哪里出错。

Request a Demo 预约演示 → Contact Sales 联系销售