Every industry has a
version of the same
problem.
Data locked away. Systems that don't talk. Decisions made without intelligence. We've worked across twelve industries to change that, with AI, data, and software that actually ships.
Three sectors, in depth
Factory floors generate machine data every second that nobody sees.
LoomOS, the operating system for your factory floor. Runs inside your plant, no cloud required, your data never leaves. Alongside it, factory ops automation that replaced every paper register with dynamic forms, role-based access and auto-generated reports.
Distributed assets, delayed field data, economics nobody measures live.
An EV ecosystem covering lead onboarding, financing, asset management, customer and supply chain modules, with AI agents and predictive battery intelligence. Plus solar panel defect detection classifying 10+ defect types at 95%+ accuracy from Day 1.
Clinics, patients and doctors still run on disconnected systems and paper.
A phygital platform connecting clinics, doctors and patients end to end: clinic and admin web apps, patient and doctor mobile apps, Ayushman Bharat integration and a native pharmaco-inventory system.
The other nine
Highways, Roads & Metro
→Infrastructure is watched by thousands of cameras nobody has time to review.
ANPR · AVC · VIDSLogistics & Supply Chain
→Operations and finance are two systems and one long argument.
Consignment tracking · Finance workflowsBFSI & Financial Services
→Lending and servicing decisions still wait on documents a person has to read.
Explainable AI · FINANCEHR & Talent
→Hiring decisions are still made on gut feel and résumé skimming.
DISCOVER · INTERVIEW · Multi-agent AISales & Marketing Technology
→Sales teams spend more time on follow-up admin than on actual selling.
Agentic AI · TALK · LEADSConsumer Tech & Wearables
→Interfaces built for a previous generation of behaviour.
Wearable AI · HubblemeetMaritime & Fleet
→Fleet managers make critical decisions without live vessel intelligence.
MarineOSEducation & Learning
→Learners cannot access expert knowledge at the speed they need it.
SURGE · TIMETABLERestaurant & Hospitality
→Operators are drowning in operational complexity that software usually makes worse.
SERVE · PINK SALT · AI booking
The products sit on one page.
The context sits on this one.
At Algorizz, Rajneesh has advised a wide spectrum of businesses: EV marketplace platforms, energy companies, BFSI, AI-first startups, B2B SaaS products, and government programs. Across every context, the mandate has been the same, bring senior, practitioner-level technology judgment to decisions that actually matter.
The capabilities that cross every industry
Computer Vision
We see what your cameras record but your team cannot process.
Predictive AI
We catch the failure before it happens, in any domain.
Agentic AI
We automate the workflow, not just the notification.
Data Foundations
We build the layer that makes everything else trustworthy.
GenAI Products
We ship tools your team uses on day one, not month six.
What working with us looks like
Sector diagnostic
We sit with your operators, map the data you already generate, and name the two or three decisions worth automating first.
Build in production
A working system on your data and your constraints, in weeks rather than quarters. Not a sandbox pilot.
Run, then hand over
We operate it while it settles, then hand it to your team with the runbook. No vendor lock, no dependency by design.
Frequently asked questions
No. These are the sectors where we have shipped work and can point to named outcomes. The engines underneath are the same everywhere: computer vision, predictive AI, agentic AI, data foundations and GenAI products. If your sector is not listed, the first conversation is a diagnostic rather than a pitch.
Tell us which floor you run.
We start with a sector diagnostic: your operators, your data, and the two or three decisions worth automating first.
