Feasibility Studies

explore and derisk a new feature, project, or technology

Sometimes implementing a new feature or project creates high-level questions that require answers before the real work can even begin. What needs to be done to meet latency specifications? What is the fastest data rate we could possibly record? Of these protocols, which makes the most sense for our application? Is my idea even achievable?

Answering these questions can sometimes fall outside the expertise of a fledgling project team. Exploring these types of questions with clients is one of our favorite parts of the job. We pride ourselves on creative thought and clear explanations which cleanly lay out the information needed to make major strategic and technical decisions affecting the project.

Often, the duration of these types of engagements is only a couple weeks long with a deliverable of a written report, code, or a hardware sketch.



Get in touch with us! We’d love to hear about your project and how we can help.


  • Prior Art & Market Research: After years of building bespoke projects for clients, we have developed intuition on where to look for examples of prior art that can be adapted to new requests

  • Technology Systems Approach: What suite of technical solutions are compatible with the constraints of your organization or deployment context? What is the appropriate physical layer, sensing technique, cloud vs on-premise data storage, user interface, etc. for your project?

  • Process Integration: Is the proposed solution compatible with the human components of your business processes?

  • Cost-Benefit Analysis: How do you budget for a complex project? We can help you break down the line items, assess project costs, and help you determine economic feasibility.



  • Hardware & Sensing Strategy

  • Communication / Physical Layer (LTE, WiFi, BLE, zigbee, etc)

  • Cloud / On Premise data storage options (AWS, Google Cloud, Azure, Private Server)

  • Organizational Change Strategy (Agile Methodologies)

Example Projects

  • A startup has a brilliant idea for a hardware product, but isn’t sure if it is possible, or cost-efficient to build

  • A manufacturing company wants to collect intelligence about operational efficiency but don’t have the sensing mechanisms for data collection