Product + systems engineeringEstablished 2015
RallyPoint Labs solves complex technical problems for organizations with demanding operations, sensitive data, and little room for failure.
We bring product judgment, applied research, and senior engineering to the parts of a business where off-the-shelf tools fall short.
Our work spans protected data, complex workflows, connected hardware, and new digital products. We stay close to the operation from first principles through production.
A decade of building products and systems where the technical work is inseparable from the business problem.
RallyPoint Labs partnered with Thirty Madison following its seed round to build the foundation of Keeps: the flagship patient product, a physician platform shared across brands, and the team needed to carry it forward.
“RallyPoint Labs was integral in building the foundation of Keeps and the Thirty Madison telehealth platform.”
We led technology for an interconnected power-bank network—working across mobile applications, backend systems, operations tooling, and hardware partners in Shenzhen to launch in multiple U.S. markets.
One system. Many surfaces.
RangeWorks began with field research: time in stores, conversations with operators, and a close study of workflows generic tools ignored. It became a leading platform for reservations, memberships, classes, and customer operations.
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We are most useful when the problem is important, the constraints are real, and the answer is not obvious at the outset.
New digital products, operational platforms, and the durable infrastructure behind them.
Domain immersion, workflow research, and product definition that reduce expensive uncertainty.
Experience engineering around protected data, privacy, security, and organizational risk.
Architecture, modernization, integrations, and initiatives that do not fit a standard vendor brief.
Our position
We use AI to accelerate research, implementation, testing, and repeatable problem-solving. It helps our team explore faster, automate routine work, and spend more time on the decisions that shape the product.
A force multiplier only multiplies what is already there.
AI can make a clear plan move faster. It can also make weak assumptions and poor architecture spread faster. We pair modern AI tools with deep product context, technical experience, and human accountability so velocity never comes at the expense of durability.
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If it is important, ambiguous, and technically difficult, we should talk.