Feasibility studies
A focused study of what a technology can do for a specific problem today: technical limits, costs, vendor options, and integration with the systems you already run.
We help teams turn emerging technology from a boardroom idea into a working product. Whether it is IoT and connected devices, AR and VR experiences, edge computing, or on-device AI, we start with a short feasibility study and a prototype tested with real users, then engineer the ideas that prove their value for production and stop the ones that don't before they get expensive.

Most emerging technology projects stall in one of two places. Some never get past a slide, because nobody can say what the technology would actually do for customers or operations. Others jump straight to a large build and discover months later that the hardware, the network, or the users weren't ready for it.
We take a middle path. A short feasibility study answers the hard questions first: what the technology can really do today, what it costs, and how it fits your existing systems. A working prototype then goes in front of real users or onto a real factory floor. The ideas that prove their value get engineered for production, and the ones that don't are stopped while they are still cheap.
2–4 wks
From kickoff to a feasibility verdict you can act on
Prototype
Tested with real users or real hardware, not a slide deck
Go / no-go
A clear decision at every stage, backed by evidence
Production
Engineering for the ideas that earn it

IoT, AR/VR, and edge computing prototypes that prove value fast, then production builds for the ideas that earn one.
Six ways we help teams move from curiosity to a working product, whatever stage the idea is at.
A focused study of what a technology can do for a specific problem today: technical limits, costs, vendor options, and integration with the systems you already run.
Working proofs of concept in weeks, built to answer the riskiest question first and tested with real users, devices, or data.
Device connectivity, MQTT messaging, fleet management, and cloud dashboards for sensors, machines, and connected products.
Augmented and virtual reality apps and interactive 3D on the web with Three.js, WebGPU, or Unity, for training, product visualization, and remote assistance.
Processing and AI inference close to the data, on gateways, cameras, and devices, for faster responses, offline operation, and lower cloud costs.
Structured sessions with your leadership and engineering teams to separate real opportunities from hype, and turn the best ones into a sequenced, budgeted roadmap.
Each stage is short, priced on its own, and ends with a decision. You only commit to the next stage when the evidence supports it.
1–2 weeks
We define the problem, the users, and what success would look like in numbers, then shortlist the technologies and vendors worth testing.
3–6 weeks
We build the smallest prototype that answers the riskiest question, on real devices or data, and test it with the people who would use it.
6–12 weeks
A limited real-world deployment with a real team, site, or customer group, to prove reliability, adoption, and cost at small scale.
Ongoing
The proven solution is engineered for scale, with security, device management, monitoring, and integration with your core systems, then rolled out in stages.
Clear evidence on whether a new technology is worth investing in
Weak ideas stopped early, before they consume serious budget
Pilots that grow into products without starting again
A technology roadmap your leadership can fund with confidence
The tools we reach for on Emerging Tech work, picked for the problem in front of us and for the team who inherits the code.
Rendering that holds frame rate on real devices
Constrained hardware, unreliable networks
Code that runs near the user, not in one region
Inference without a round trip
Start with the problem, not the technology. If you can name a specific process, cost, or customer experience it should improve, and how you would measure the improvement, a short feasibility study will tell you whether the technology can deliver it today. We regularly recommend simpler, proven alternatives when they solve the problem better, because a project that works matters more than one that sounds exciting.