AI-Native FinTech Technology Provider
AI 原生金融系统软件研发
技术服务商

从 AI 原生交易客户端、2% 资金风控中台到 FIX 流动性清算桥接,
我们为全球金融机构与券商经纪商提供端到端技术研发、系统解决方案与 100% 源码私有化交付。

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法定技术服务商地位严正声明 (Technology Provider Notice)

FinanceWiki.ai 是一家为金融机构和经纪商开发并提供技术解决方案的技术服务商。FinanceWiki.ai 不提供经纪、投资、金融、交易、资产管理或财务咨询服务,也不接受、持有、管理或控制客户资金或客户资产。

FinanceWiki.ai is a technology provider that develops and supplies software solutions to financial institutions and brokers. FinanceWiki.ai does not provide brokerage, investment, financial, trading, asset management, or financial advisory services, nor does it accept, hold, manage, or control client funds or client assets.

全球持牌金融机构与经纪商技术交付
Based in Hong Kong · Global FinTech Hub
Start a Project
服务全球 14 个主要金融辖区 120+ 家机构客户与经纪商 —— 最快 2~4 周完成全套交易系统生产级部署交付
Trustpilot
10+
Good AI feels obvious—because the hard work is hidden.
Ava Collins
FinanceWiki.ai’s Design Lead

Trusted by 100+
top-tier brands

Services
End-to-End
FinTech Software & AI Systems

涵盖交易客户端、风控中台、经纪商 CRM、FIX 撮合桥接与 Graph-RAG 金融图谱中台,100% 源码级交付支持。

Process
From Idea
to Production

Discover & Scope

Align on problems, data reality, and success metrics. Opportunity brief, KPI model, phased roadmap, effort/cost ranges.

3-7 DAYS
01 /03

Prototype

De-risk unknowns and validate value quickly. Clickable UX, tech spike repo, initial eval rubric, demo.

1-2 WEEKS
02 /03

Validate & Evals

Prove accuracy, usability, safety, and cost. Eval dashboard, acceptance thresholds, decision to iterate/ship.

1 WEEKS
03 /03
Benefits
Why Choose Us
Accuracy
Latency
Safety
Cost
Outcome over Output

We measure what matters - accuracy, latency, safety, and
cost - so every sprint ships business value, not just features.

Eval-First Reliability

From day one, we run offline/online evals, canary tests, and tracing. You see how models perform - and why.

Secure by Design

PII handling, SSO/SAML, RBAC, encryption, and audit trails -built in, not bolted on. Enterprise-ready from the start.

Design-Led AI Experiences

We craft prompts, interfaces, and guardrails that feel intuitive - so adoption rises and support tickets fall.

Features
All Features in One
Agent-Powered Workflows

Turn repetitive tasks into autonomous flows—agents plan, execute, and report with guardrails, audit trails, and clear handoff to humans.

Eval-First Quality

Measure accuracy, latency, safety, and cost from day one. Our evals and dashboards keep models reliable and budgets predictable.

Private Knowledge RAG

Make your docs, tickets, and wikis instantly useful with retrieval augmented generation—freshness, citations, and explainability built in.

Human-Centered AI UX

Interfaces, prompts, and error states designed for trust and adoption—so the smart thing is also the obvious thing to do.

Secure by Design

PII handling, SSO/SAML, RBAC, secrets management, and compliance workflows—ship AI that’s safe, auditable, and enterprise-ready.

Seamless Integrations

Plug into your stack (CRM, helpdesk, ERP, data warehouse) with webhooks and APIs to turn insights into action—fast.

Tools
We work with powerful AI tools
We design, build, and evaluate with a modern AI stack—LLMs, vector search, orchestration, and observability—so your features are fast, reliable, and secure.
Get Started
Team Members
The Squad Shipping
Your AI
Ava Collins
FinanceWiki.ai’s Design Lead
Noah Reed
ML/Agent Lead. Builds domain agents
Lucas Hayes
Solutions Architect. Connects AI to your stack
Jordan Brooks
Data Engineer. Secure access policies
Erin Park
MLOps Engineer. Productionizes with CI/CD
Statistic
Human-centered
AI, built for
production
We shipped our first copilot in 7 weeks and cut support tickets by 31%. The eval dashboards made every decision obvious.
OUR GROWTH
230 K
UPTIME FOR KEY FLOWS
95 %
ON TIME DELIVERY
99 %
Awards
Innovation in AI
Underwriting Risk Copilot (Fintech)
/ 2025
Best AI Product Design
Support Copilot (SaaS)
/ 2025
Data & AI Excellence
Clinical Note Summarizer (Healthcare)
/ 2024
Innovation in AI
Underwriting Risk Copilot (Fintech)
/ 2024
Testimonials
What Our
Clients Says
We shipped our first copilot in 7 weeks and cut support tickets by 31%. The eval dashboards made every decision obvious.
Elena Ruiz
Cantos SaaS’s VP Product
SSO/SAML and RBAC landed smoothly. Latency stayed <300 ms on p95—huge win for our agents.
Marcus Tan
VectorPay’s CTO
The best partner for agentic work. 多级 IB 佣金自动化结算, tool use, and audit trails—done right the first time.
David Kim
Northway's Ecommerce Director
Pricing Plans
From pilot to enterprise
clear scope, transparent costs
 annually.
Turnkey 启动版
针对初创经纪商
$9,900
/ year
Get Started
What’s included
Prove value in two weeks with a clickable UX, tech spike, and a clear go/no-go roadmap.
  • Discovery workshop
  • Opportunity brief
  • Clickable UX
  • 1 data source & 1 integration
Enterprise 专业版
针对持牌金融机构
$19,900
/ year
Get Started
What’s included
Compliance-ready delivery for complex orgs—multi-env releases, canaries, and change management.
  • Everything in Starter
  • CI/CD, tracing, alerts, guardrails
  • Full eval dashboard
  • 3 data source & 3 integration
FAQs
Frequently Asked
Questions
FinanceWiki.ai 是一家为金融机构和经纪商开发并提供技术解决方案的技术服务商。我们不提供经纪、投资、金融、交易、资产管理或财务咨询服务,也不接受、持有、管理或控制客户资金或客户资产。
FinanceWiki.ai 是一家为金融机构和经纪商开发并提供技术解决方案的技术服务商。我们不提供经纪、投资、金融、交易、资产管理或财务咨询服务,也不接受、持有、管理或控制客户资金或客户资产。
FinanceWiki.ai 是一家为金融机构和经纪商开发并提供技术解决方案的技术服务商。我们不提供经纪、投资、金融、交易、资产管理或财务咨询服务,也不接受、持有、管理或控制客户资金或客户资产。
FinanceWiki.ai 是一家为金融机构和经纪商开发并提供技术解决方案的技术服务商。我们不提供经纪、投资、金融、交易、资产管理或财务咨询服务,也不接受、持有、管理或控制客户资金或客户资产。
Contact
开启您的金融科技
系统架构升级
E-mail address
business@financewiki.ai
Phone number
support@financewiki.ai

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