Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
AI initiatives stall between pilot and production
The model works in a demo, but the security review keeps sending it back.
Fragmented data, unclear access controls, missing audit trails, and a lack of a resilient cloud monitoring plan keep generative AI stuck in a proof-of-concept phase while the business waits for value in financial operations.
IT experts are ready to start building AWS solutions for you
AWS Migration for TradeSmarter Trading Platform
Tradesmarter partnered with Geniusee to stabilize its trading infrastructure, enhance performance, ensure high availability, and automate processes – all while transitioning to a scalable cloud environment.
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Zytara: Gamified digital banking app
Zytara is a digital banking app built specifically for Gen Z, combining financial education with a gamified, customizable user experience. Our team developed a secure, blockchain-enabled platform that lets parents manage and monitor their children’s spending and saving, while giving young users a more engaging way to interact with money. We introduced game-inspired card skins, personalized modes, and a built-in shop featuring branded merchandise from e-sports, gaming, and music partners. One of the most unique aspects of the project was enabling users to manage digital assets and complete full NFT lifecycles directly within the app.
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HealthcareZebulon: Medtech app development
Zebulon set out to replace scattered health data with structured insight. The team wanted a mobile app that let clinicians build their own surveys, collect recurring inputs, and instantly see trends in a clear analytical view. With only the vision defined, Zebulon partnered with Geniusee to turn it into a functioning product. Our joint work resulted in a lightweight, secure application that captures continuous patient metrics and translates them into meaningful feedback for healthcare professionals.
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Drum: Mobile app engaging followers with one click
Drum is a mobile platform that helps creators, influencers, and brands turn a single bio link into a personalized landing page, storefront, and analytics hub. Geniusee partnered with Drum to deliver and scale cross-platform applications, modernize the tech stack, and support rapid product evolution in the creator economy.
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PrintBI: Intelligent directory platform for printing industry leads
PrintBI offers a scalable lead-generation ecosystem for the printing sector, combining intelligent data scraping, advanced search, and automated report delivery. Through technical collaboration with Geniusee, the platform gained the architecture, UX, and automation needed to operate reliably at global scale.
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nCourage: Audio app for anxiety and productivity
nCourage is a mobile-first wellness platform dedicated to helping users manage anxiety, stress and sleep challenges through on-demand audio content, journaling and mood tracking.
Case details
You can start with a focused assessment or a single workload, then expand into migration, modernization, data, AI, or long-term operations, all within the same team and context. Our AWS development services cover the full path from architecture to production support.
Discovery and assessment
We map applications, data flows, integrations, dependencies, and constraints, then review the current environment against security, resilience, cost, and compliance expectations relevant to your market.
Architecture and roadmap
We define the target AWS architecture, agree on measurable acceptance criteria such as availability, RTO, and RPO, latency, or cost targets, and sequence the work into phases with clear decision points.
Pilot workload
We demonstrate the approach on a meaningful workload with realistic data and integrations, so the organization has evidence before committing to a broader program.
Implementation and migration
Engineering teams execute the plan using infrastructure-as-code, automated pipelines, cutover runbooks, and rollback paths, keeping the business running while the platform beneath it changes.
Validation
Before anything is called done, we test security controls, run failover and recovery exercises, verify performance under load, and confirm that cost and evidence collection behave as designed.
Operations and optimization
After launch, we can monitor the environment, respond to incidents, manage patching and backups, and run a continuous improvement backlog across architecture, security, resilience, and cost.
- Digital banking and payment platforms with multi-account AWS governance and strong cryptography
- Trading and investment systems designed for stability under heavy transaction loads
- Lending and onboarding workflows with KYC integrations and decision support
- Fraud and risk analytics pipelines on streaming AWS data services
- Learning platforms rebuilt on serverless AWS architecture for global scale and high availability
- LMS and virtual classroom systems with enterprise SSO and multi-tenant separation
- Video content delivery and learner analytics on AWS data and streaming services
- AI-assisted learning features with guardrails and controlled data access
- E-commerce backends that scale elastically through seasonal and campaign peaks
- Inventory, catalog, and order data pipelines connecting stores, warehouses, and online channels
- Personalization and demand analytics built on AWS data platforms
- Payment and checkout integrations engineered for reliability and PCI DSS scope reduction
- Property platforms and listing systems on scalable, cost-controlled AWS infrastructure
- Document-heavy workflows for leases, permits, and inspections with intelligent processing
- CRM and lead management tools connected to property data across sources
- IoT and occupancy analytics for smart building and workplace products
What does AWS for financial services actually include?
It is an industry portfolio rather than a single product. AWS combines cloud infrastructure, security and governance services, data platforms, AI services, and architectural guidance for banking, payments, capital markets, and insurance workloads. Geniusee’s role is to turn that portfolio into a working platform: we select the right services for your workload, design the architecture, build and migrate the systems, and operate them after launch.
Can regulated financial workloads run on AWS?
Yes, financial institutions worldwide run regulated workloads on AWS, which supports a broad set of security standards and compliance certifications. The key nuance is the Shared Responsibility Model: AWS secures the underlying cloud infrastructure, while your configuration, data, identities, and applications remain your responsibility. Geniusee designs and implements the customer-side layer, including access controls, encryption, logging, and the evidence trails required by assessments.
How do you reduce risk during a financial platform migration?
We plan migrations in waves, starting with lower-risk workloads to validate the approach, and every cutover has a rehearsed runbook and a rollback path. Dependencies are mapped before anything moves, data integrity is verified at each step, and the business continues to operate throughout. This is the discipline that allowed us to complete a full enterprise VMware environment migration without unplanned downtime.
How does AWS support DORA and PCI DSS requirements?
AWS provides services that help implement the required controls: centralized logging and configuration history for audit trails, backup and disaster recovery tooling for resilience testing, and encryption and key management for data protection. Meeting DORA or PCI DSS still depends on how your workloads are architected and operated. We design environments so that evidence collection, resilience testing, and scope management are built in, reducing the effort each assessment requires. We support compliance work; no provider or partner can make a company compliant by default.
How long does an AWS financial services project take?
An assessment with a target architecture and roadmap typically takes 2 to 6 weeks, depending on the number of systems involved. A focused pilot or first workload migration typically takes 1 to 3 months, while a broader migration or modernization program is usually planned in phases across several quarters. After the assessment, we can estimate the timeline against your specific systems rather than a generic template.
Can Geniusee operate the environment after launch?
Yes. We provide managed AWS operations covering 24/7 monitoring, incident response, security updates, backup and recovery verification, and continuous cost optimization. Many clients keep the same team that built or migrated the platform, which preserves context and shortens response times when something needs attention.
Can AI run safely in regulated financial workflows on AWS?
It can, provided the system is engineered for it. We ground models in approved company data, restrict what the AI can access and do, keep humans in the loop for material decisions, and log every interaction for review. Services such as Amazon Bedrock with guardrails support this approach, and we treat evaluation, monitoring, and rollback as mandatory parts of the build rather than optional extras.
