01 / Connect
Systems engineering
Connect applications, APIs, and backend services. Modernize the systems behind your business and reduce manual handoffs.
Systems. Data. Intelligent action.
Connect your business. Make every investment more informed.
Stravo connects your systems, unifies your data, and builds AI-powered capabilities across marketing, product, customer support, and operations—helping you understand what drives results, prioritize investment, and act with greater precision.
Operating leadership · Enterprise engineering · Privacy and data governance
THE CONNECTED BUSINESS
Your business systems
Product · Marketing · Support · Operations
A trusted data foundation
Warehouse · Shared models · Customer context
Insight into action
Decisions · Automation · New products
Privacy, security, and governance across every layer.
Operating experience through our affiliated companies in consumer wellness and movement technology.
QUANTUM MOVEMENT
What we build
Systems, data, and AI. Built to work together.
We connect the technology you already have, establish a trusted data foundation, and build the capabilities your business needs next.
02 / Understand
Data foundations
Build warehouses, shared customer identities, and consistent business metrics—with data quality, lineage, and access policies designed in.
03 / Act
AI and automation
Turn governed data into useful workflows, assistants, personalization, and new product capabilities. Start with a defined problem and measure the result.
One foundation. Shared intelligence.
A connected business makes more informed investments.
Marketing, product, support, and operations should work from a consistent view of the business. We connect their systems so insights can inform decisions—and trigger action.
Marketing & lifecycle
Understand acquisition, engagement, and retention. Connect customer signals to relevant journeys and evaluate where marketing investment produces value.
Product & experience
Identify friction, prioritize development, and build personalization. Use experimentation to test whether changes deliver better experiences.
Customer support
Give teams relevant customer context, automate routine work, and connect recurring issues to the product roadmap.
Operations & leadership
Reduce manual reconciliation, align business metrics, and assess where people, technology, and capital can have the greatest impact.
Illustrative workflow
From a support signal to a better investment.
A support issue reveals product friction. Product data identifies affected customers. Lifecycle messaging provides relevant guidance. Leadership measures the effect on retention before committing further investment.
One signal. Coordinated action. A measurable decision.
Where we work
Complex systems. Meaningful customer relationships.
We focus on businesses where customer experience, sensitive data, and operational complexity meet.
Consumer & subscription
Connect behavior, content, billing, and lifecycle systems to understand the customer journey and improve engagement.
B2B platforms
Integrate customer systems, structure account and tenant data, and build useful automation and embedded AI capabilities.
Healthcare & wellness
Connect clinical, member, and operational systems with attention to privacy, permissions, and the requirements of each engagement.
The technical foundation
Your systems become a foundation for what comes next.
A shared architecture connects the business without assuming every user—or every AI tool—should have access to every record.
Sources
Connected systems
Product, CRM, billing, support, marketing, and operational data move through documented integrations.
Foundation
Governed data
A warehouse and shared data models bring together quality controls, identity resolution, retention, and permissions.
Applications
Intelligent applications
Analytics, customer experiences, workflow automation, and new products use approved data and services.
Governance across every layer
Privacy, security, access controls, and auditability shape the design from integration through application. APIs and MCP can give approved AI tools controlled access to data and permitted actions, with safeguards appropriate to the use case.
Expertise beyond implementation
The right disciplines around the same business problem.
Engineering makes the system work. Specialists help determine what to build, how customers respond, and whether the investment is paying off.
Data science
Segmentation, forecasting, recommendation models, and experiments that turn reliable data into decision support.
Behavioral science
Understand adoption, engagement, and the behaviors behind sustained customer relationships.
Lifecycle expertise
Translate customer signals into relevant onboarding, retention, and reactivation experiences.
Specialists are engaged according to project needs, including expertise available through our affiliated companies. The team and responsibilities are defined for each engagement.
How engagements work
Start with one important problem. Build for the bigger picture.
We establish the business objective and measurement approach first, then scope the systems and data required to deliver it.
01
Assess & prioritize
Map your systems, data flows, constraints, and opportunities. Agree on a focused use case, success measures, and investment priorities.
02
Build & connect
Implement integrations and data foundations, with governance and security controls appropriate to the work.
03
Activate & improve
Deploy the workflow or product capability, measure its performance, and use the findings to guide the next investment.
Scope, timing, deliverables, ownership, and specialist involvement are agreed for each project.
Leadership and advisors
Business judgment. Engineering depth. Delivery discipline.
Brett Garner
Founder and CEO
Connects business strategy, product priorities, and privacy considerations. Operator in wellness and sports technology; technology and healthcare attorney.
Nizam Gok
Chief Technology Officer
Leads architecture and engineering execution. Experience at Yahoo, Skype (Microsoft), Samsung, and Chegg.
Chad Garner
Advisor, Delivery and Operations
Advises on enterprise delivery and operational discipline. Technology portfolio operations at First American and Experian.
Operating experience informs what we build
Our leadership brings perspectives from operating businesses and building technology. Project teams combine engineering with the specialist expertise needed for the engagement.
Frequently asked
What does Stravo do?
Stravo is a systems and data engineering company. We connect business systems, build governed data foundations, and develop AI capabilities across marketing, product, customer support, and operations.
How does Stravo keep PII safe?
We design data minimization, access controls, encryption, and auditability around each engagement. Where appropriate, sensitive information is separated or de-identified before use in analytics and AI. See our Security and trust page.
How does an engagement start?
We start with a business objective, review the supporting systems and data, and agree on a focused use case, success measures, scope, and roadmap.
How do you use MCP?
Where useful, we implement Model Context Protocol (MCP) alongside APIs so approved AI tools can access permitted data and actions. Permissions, logging, and approval controls are designed around the use case.
Can Stravo take on large projects?
Yes. Beyond our core team, partner engineering firms let us add vetted specialists or full teams quickly, all under Stravo's leadership, standards and security controls, with one contract.
Where is your team?
Stravo is led from the United States by Stravo LLC, a Florida company. Our senior AI, backend and data engineers are based in Ho Chi Minh City, Vietnam, through our wholly owned subsidiary.
Start a project
Discuss your project.
Tell us the business problem you want to solve, the systems involved, and what a successful outcome would look like. We will help define a practical starting point.
Prefer email? info@stravolabs.com