A deep-tech studio engineering enterprise software, computer vision and edge systems — sharpened by modern AI, built privacy-first, and owned by the people who buy it.
Auralis Innovation Technologies LLP is an engineering team, not a reseller: the products on this site are ours, written by us, and deployed with real users.
We work across three practices — AI and agentic systems, video analytics, and IoT and edge computing — with one team spanning all of them. That is deliberate. The interesting problems in an industrial or campus deployment sit exactly where a sensor, a network and a business system meet, and those are the problems nobody owns when three vendors are involved.
Modern tooling has changed the economics of software. A small, senior team using AI-assisted engineering can now deliver what used to need a department — and can do it without the overhead that gets passed on to the customer. We pair that tooling with hands-on expertise in full-stack software, embedded systems and computer vision, so the people who design the hardware also ship the dashboard.
Engagements are rarely buy-and-install. We customise modules to the fields, workflows and reports a business actually uses; we migrate historical data off whatever system is being replaced; we integrate with the tools that are staying, Tally Prime included; and we support the result after go-live rather than only up to it.
AuraPrime is our modular business platform — ERP, CRM and service, and attendance and payroll on one shared data core, with native Tally Prime integration. Around it we build on-premise video analytics, IP paging and voice systems on Asterisk, IoT and edge deployments for industrial and infrastructure sites, and radar-based elder and patient care sensing for facilities where a camera is not acceptable.
Most customers start with one of these and add another once the first is running, which is the main argument for buying them from one team.
Auralis develops practical technology solutions today while building innovative AI-powered platforms for the future. The first half of that sentence is what pays for the second, and we would rather ship something a customer uses on Monday than demonstrate something impressive that never leaves the lab.
Each one is in production, and each one can be bought on its own.
Tell us about the problem you are trying to solve. We will respond with a clear view on how we can add value.