Who we build for


We work with different types of businesses in wealth management, each with distinct needs:

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Financial institutions and asset managers

Your financial data sits across too many systems: portfolio tools, CRM, and reporting platforms. Getting a clear view of portfolio performance requires manual reconciliation at every cycle. We build integrated dashboards that pull everything together into a single real-time view, so your team spends less time wrangling spreadsheets and more time making better investment decisions.

Independent advisors and RIAs

Onboarding a new client means paperwork. Quarterly reviews mean hours of prep. Compliance means more paperwork. We help advisors automate the routine parts: client onboarding flows, fee billing, rebalancing alerts, and audit trails. The result is financial planning software that gives your team time back for actual client relationship management.

Banks modernizing their wealth offerings

Core banking systems do not retire easily, and they do not have to. We build secure API layers that connect your existing back-end infrastructure to modern, responsive client-facing applications. You can launch new wealth management services in months without touching your core data.

Fintech and wealthtech startups 

You have an idea and a limited runway to prove it. We move quickly: from a validated prototype to a focused, scalable MVP in 3 to 5 months. So you can start learning from real users, with proven fintech architectures and financial planning tools built for scale from the start.

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AI in wealth management


AI is changing how advisory firms and wealth management companies operate. The firms moving early are not just cutting costs. They are building products that are genuinely harder to replicate:

Generative AI financial copilots

We build AI assistants that help your advisors prepare for client meetings: summarizing portfolio changes, flagging relevant market data, and drafting personalized reports. Advisors walk in better prepared, rather than spending hours pulling financial information together.

Predictive client analytics

We develop models that predict when a client may be approaching a major financial decision, a large purchase, a planned sale, or a potential churn event, based on behavior patterns like portfolio activity and life events. This lets your team reach out at the right moment, not after the fact. For a deeper look, see our article on AI in wealth management.

Automated investment research

We create large language models that can process earnings call transcripts, analyst reports, and market data faster than any analyst team. We integrate LLM-powered research tools that surface risks and opportunities specific to your clients’ holdings, giving smaller advisory firms institutional-grade research capability. See how LLMs are being applied in finance.

AI-driven fraud prevention

We build machine learning models that learn each client’s normal transaction behavior and flag anomalies in real time, such as unusual device access, unexpected transfers, or location mismatches, without blocking legitimate activity. Stronger data security with fewer false alarms.

AI agents for financial workflows

Beyond single-task automation, we build AI agents that handle multi-step processes: pulling data from multiple sources, running calculations, generating outputs, and routing results — all without manual handoffs.

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Why choose Geniusee?


You need a fintech partner who already speaks the language

Your product operates under real regulatory constraints, integration complexity, and user expectations that generic dev shops don’t understand. We’ve built trading platforms, lending systems, banking apps, and investment portals, so you don’t pay for our learning curve.

You need to ship fast, without cutting corners

If you’re racing a competitor or closing a funding window, you need a working MVP in 3–5 months, not a year. We use proven architecture patterns and reusable financial components so you move at the speed your market requires.

You need a platform that grows with you

Whether you’re starting with 100 clients or planning for 100,000, your architecture needs to handle both. Cloud-native infrastructure, horizontal scalability, and performance monitoring are built in from day one — not bolted on later.

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You need a team that’s still there after launch

Regulations change. App stores push updates. Your product evolves. You need ongoing maintenance, security monitoring, and SLA-backed support — not a handoff and a goodbye.

You’re operating in a regulated space and need compliance built in, not bolted on

ISO 27001 & ISO 9001 certified. GDPR, PCI-DSS, FINRA, and SEC requirements handled as standard. Security-by-Design from day one — your data never trains a public model.

Our success in numbers

Genuisee’s versatile experience, gained over more than 8 years, has enabled us to form a team with a proven track record.


Geniusee 195 1 2

20+

Countries

200+

Projects completed

80

NPS score

300+

Industry-specific experts

Recognition, certifications, and partnership


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Certified AWS Partner delivering secure, scalable cloud-native solutions.

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ISO-compliant processes ensuring quality, security, and reliability.

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Trusted integration partner for financial data connectivity and open banking.

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Team of ISTQB-certified QA engineers for world-class software testing.

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Consistently rated ★5.0 by clients for reliability and delivery excellence.

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Accredited partnership supporting advanced testing and continuous QA automation.

Frequently asked questions


Which type of software do you create for wealth management?

We build portfolio management software, robo-advisory solutions, client-facing wealth management apps, back-office automation tools, reporting dashboards, compliance solutions, and AI-driven advisory platforms. Most clients need a combination, and we scope the right wealth management software solution together during paid discovery.

Can you integrate with our existing software systems?

Yes, and it is one of our core strengths. Our development team specializes in building API middleware that connects modern frontend applications to legacy backend systems, including older core banking platforms, on-premises databases, and third-party financial data sources.

How do you handle data privacy when using AI features?

We use private and isolated instances of AI models and manage your data in a secure/dedicated environment that is never used for public AI model training.  AI features we develop are compliant with GDPR. In case of additional regulatory requirements, we scope them during the discovery phase.

How long does it take to build a wealth management MVP?

A focused MVP — such as a client portal, a mobile app, or an automated onboarding flow — typically takes 3–5 months from the end of discovery to launch. We scope this more precisely based on your requirements during the discovery phase.

Do you work with early-stage startups or only established institutions?

The features of wealth management software we deliver typically include portfolio management and rebalancing, client onboarding and KYC automation, financial planning tools, reporting and analytics dashboards, banking integrations, risk management modules, and compliance automation. The right combination depends on your business model and client base, and we define it together during discovery.