NexaFlow came to MazoSoft with an ambitious goal: build a white-label analytics SaaS that financial institutions could deploy to their clients within minutes. The platform needed to ingest millions of daily transactions, surface portfolio risk signals in real time, and scale to hundreds of thousands of concurrent dashboards — all without sacrificing sub-second query performance.
Our team led the end-to-end product build over nine months — from zero-to-one architecture through to a production-ready multi-tenant SaaS. We designed the data pipeline, the multi-tenant provisioning engine, the React-based dashboard layer, and the Kafka-backed real-time streaming infrastructure.
The result was a platform that processed 2.4 billion rows of financial data on day one, onboarded 3,000 enterprise clients within the first quarter, and delivered a 312% revenue increase for NexaFlow within 12 months of launch.
NexaFlow's clients — banks, fund managers, and insurance firms — were drowning in disparate data sources: core banking systems, trading APIs, spreadsheets, and third-party risk feeds. None of it connected. Decision-makers were flying blind, relying on overnight batch reports that were obsolete before they were read.
Previous vendor attempts had delivered monolithic dashboards that took weeks to deploy, couldn't scale beyond 50 concurrent users, and charged clients per-seat — making commercial viability impossible.
15+ disparate systems with no unified ingestion layer, causing inconsistent reporting across business units.
Risk and compliance teams received reports 12–18 hours after market close — far too late for meaningful intervention.
The existing system collapsed under load exceeding 500 concurrent users, rendering it useless during peak trading hours.
Each new client required 4–6 weeks of manual configuration, making the sales cycle commercially unviable at scale.
We architected a cloud-native, event-driven SaaS on AWS EKS — capable of ingesting any financial data source via a plug-in connector SDK, streaming it through a Kafka backbone, and persisting it in TimescaleDB hypertables for millisecond-range aggregation queries.
The React 18 dashboard layer consumed a GraphQL subscription API, meaning every chart on every client dashboard updated live as new data arrived — with zero polling and zero latency spikes.
We built a fully automated tenant provisioning system — database schema creation, Stripe subscription activation, and RBAC configuration all happen in a single API call triggered by the client completing their onboarding wizard.
A visual tour through the core product interfaces and user flows.
Every tool chosen for a specific engineering reason, not trend-chasing.
Every feature was prioritised against NexaFlow's product roadmap and validated with their enterprise pilot clients.
Live chart updates via GraphQL subscriptions — zero latency, zero polling. Every widget refreshes as data streams in from Kafka.
Granular role-based access control per tenant, with custom permission sets, audit logging, and SSO/SAML support built in.
Metered usage-based billing with automatic subscription upgrades, invoice generation, and dunning management built on Stripe.
Drill-down reports, custom KPI builder, cross-portfolio comparison, and scheduled PDF export with white-label branding.
A plug-in SDK allowing any financial data source — core banking, trading APIs, spreadsheets — to be onboarded in a single config file.
Built-in SOC 2, ISO 27001, and GDPR controls — automated data retention policies, field-level encryption, and compliance audit trails.
A disciplined, sprint-based delivery model refined across 500+ projects.
2-week deep discovery: stakeholder interviews, data source audits, competitive benchmarking, and technical feasibility assessment. Deliverable: a 40-page PRD and architecture blueprint.
Finalized cloud architecture, selected the AWS EKS + Kafka + TimescaleDB stack, defined API contracts, and produced a sprint-by-sprint delivery roadmap. Deliverable: approved tech spec and sprint plan.
High-fidelity Figma prototypes for all 42 screens, including the white-label customisation system. Three rounds of usability testing with pilot clients before a single line of code was written.
12 two-week sprints. Data pipeline team, frontend team, and DevOps team ran in parallel. Weekly stakeholder demos with a live staging environment updated after every sprint.
Load testing to 50,000 concurrent users, penetration testing by a certified third party, automated regression suite covering 94% of code paths, and a 48-hour bug bash with the NexaFlow product team.
Blue-green deployment with zero-downtime cutover. 4-week hypercare period with a dedicated on-call engineer, 24/7 monitoring via Datadog, and daily performance reviews with the NexaFlow operations team.
MazoSoft didn't just build our platform — they became a true strategic partner. Their engineering depth, product thinking, and ability to solve problems we hadn't even anticipated set them apart from every agency we've worked with. The platform they delivered is now the commercial engine of our entire business.
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