Industrial IoT Platform
TODO(copy): Sensor networks, gateways, and cloud ingestion pipelines for manufacturing and logistics.
Learn more
What are you looking for?
Explore our services and discover how we can help you achieve your goals
Explore our services and discover how we can help you achieve your goals
Sensor-to-dashboard IoT platforms for manufacturing, logistics, and asset-heavy operations — engineered end-to-end, proven in our own products.
/05 Powered by innovation · trusted by businesses worldwide
/01 What we build
Sensor networks, edge compute, and real-time dashboards for connected operations.
TODO(copy): Sensor networks, gateways, and cloud ingestion pipelines for manufacturing and logistics.
Learn moreTODO(copy): ML models trained on sensor telemetry to flag failures before they happen.
Start a projectTODO(copy): Real-time location, condition, and utilisation tracking for physical assets.
Learn moreTODO(copy): On-device inference and local processing to cut latency and bandwidth.
Learn moreTODO(copy): Shop-floor visibility — throughput, downtime, and yield in real time.
Learn moreTODO(copy): Device authentication, encrypted telemetry, and network segmentation.
Learn more/02 Industries
HIPAA-compliant patient portals, telehealth platforms, and clinical workflow tools that put care first.
Get a free expert consultation within 24 hours — no strings attached.
/products Built by our engineers
From shop-floor sensors to asset intelligence — products we engineered end-to-end on the same IoT stack we offer clients.
IoT-driven smart manufacturing
Manufacturing execution platform connecting shop-floor IoT sensors to real-time production intelligence, predictive maintenance, and OEE dashboards.
Open-source ITAM
Free, open-source IT asset management built on Python & Django — asset lifecycle, vendors, and assignments without vendor lock-in.
AI-assisted HRMS SaaS
Cloud HRMS with automated compliance, workforce analytics, and intelligent assessment — the tech behind two of our flagship HRTech case studies.
/03 Tech stack
Industry standard for IoT. Use paho-mqtt (Python client) + django-mqtt for Django integration. Lightweight, pub/sub model fits asset tracking well.
If you need higher throughput and multiple consumers (analytics, real-time dashboards, audit logs). Overkill for small deployments, essential as you scale.
/08 Methodologies
Iterative sprints with continuous feedback loops. When requirements shift we adapt — flexibility lives at our core, always with visible progress.
Sprint cycles sharpen focus and eliminate waste. Clients collaborate hands-on, steering direction together — discipline underneath the speed.
Your software flows naturally from code to production. Automation eradicates manual work; teams collaborate instead of finger-pointing.
Structured, deliberate, methodical. We choose it when building foundations demands meticulous attention and a clear sequence of phases.
/09 Development process
We map your goals, constraints, and success metrics into a concrete plan before a line of code is written.
Wireframes and interactive prototypes validate the experience with real users before dev investment begins.
Engineers build in transparent two-week sprints, with working software and client demos at every step.
Automated and manual testing guard quality, performance, and security before every release goes live.
We ship to production with zero-downtime rollouts and integrate with your existing systems cleanly.
Partnerships deepen after launch. We monitor, upgrade, and evolve your product as your market shifts — 24/7 support, always on your side.
/10 Engagement models
A squad of expert professionals working seamlessly on your project — for busy clients who want an efficient, high-performance team fast. Punctuality and quality guaranteed, sprint by sprint.
Share your requirementsYou pay a fixed amount for the entire project. Specifications, schedule, and milestones are agreed before we begin — maintaining transparency, clarity, and a healthy workflow throughout.
Share your requirementsWhen scope evolves, the time-and-materials model keeps you flexible — pay for actual effort as priorities shift. Ideal for discovery-heavy products and long-running roadmaps where adaptability matters most.
Share your requirements/11 Why Vyrazu Labs
Engineering discipline that turns AI from demo into dependable, measurable production systems.
We don't retrofit AI onto existing systems — we design intelligence as the core decision-making layer from day one.
Guardrails, observability, and rollback strategies so your AI agents run autonomously without going off-script.
Explainability, bias testing, and regulatory compliance (GDPR, HIPAA, EU AI Act) built into every model we ship.
AI-assisted code translation and automated test generation cut legacy modernisation timelines by 5–10× versus manual approaches.
Drift detection, performance dashboards, and automated retraining pipelines keep your AI accurate long after launch.
Every AI engagement is scoped to a business outcome — cost saved, revenue lifted, time reclaimed — not a proof-of-concept.
/12 Client testimonials
Vyrazu built an AI agent that handles our entire supplier negotiation workflow. What took a team of 6 analysts now runs overnight, autonomously, with better outcomes than we achieved manually.
Their LLM-assisted migration tool cut our 18-month COBOL replatform to 11 weeks. The AI-generated tests caught edge cases our engineers hadn't even thought of. Genuinely impressive engineering.
The RAG pipeline they built pulls from 40,000 internal documents in milliseconds. Our support team now resolves tickets 3× faster and customer satisfaction scores have jumped 28 points.
We came in sceptical about AI agents in production. Vyrazu's reliability engineering approach — guardrails, observability, fallbacks — gave us the confidence to go live. Zero incidents in 8 months.
Their fraud detection model now catches 99.7% of fraudulent transactions at 2M+ per day. It paid back its entire development cost within the first 6 weeks of going live.
Vyrazu treats AI ROI as a first-class requirement. Every model ships with a business metric attached — cost saved, decisions automated, revenue influenced. That discipline is rare and exactly what we needed.
/09 FAQ
/10 Get in touch
