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From autonomous agents to legacy migrations powered by LLMs — Vyrazu Labs turns AI capability into measurable business outcomes, faster than you thought possible.
/01 AI capabilities
Four capability pillars — woven together as the decision-making layer your products and operations run on.
Autonomous agents that handle decisions, workflows, and integrations end-to-end — without human intervention.
RAG pipelines, fine-tuned models, and multimodal AI woven directly into your product and operations.
Read moreLegacy systems replatformed 10× faster using AI-assisted code analysis, translation, and test generation.
Read moreML pipelines and real-time analytics that let your systems act on data before problems surface.
Read more/02 AI by industry
Intelligent agents that triage, schedule, and flag risk — while keeping every decision HIPAA-compliant and fully auditable.
/03 AI in production
HRTechEngineered a cloud-based HRM solution that automated regulatory compliance and enabled strategic workforce analytics — reclaiming 480+ admin hours a year.
Read case study
HVACBuilt a unified cloud HVAC platform consolidating fragmented systems into one intelligent ecosystem, lifting operational efficiency by 40-60%.
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HRTechCombined skill testing, intelligent proctoring, and data-driven scoring to cut time-to-hire by 50% while raising candidate quality.
Read case study/04 Products we've built
Three production platforms of our own — each one a working demonstration of the engineering behind every client system we ship.
Workforce Management & HR Operations — a cloud platform running HR ops through one connected digital ecosystem, recruitment through retirement.
Manufacturing Intelligence & Industrial Operations — connects factory systems, data, and AI decision support into one intelligent operating layer.
Asset & Inventory Intelligence — tracks and manages equipment and inventory with centralised visibility across every location.
From workforce management and manufacturing intelligence to asset visibility, our products demonstrate our ability to understand complexity, design scalable architectures, and build technology that creates real business value.
/05 Powered by innovation · trusted by businesses worldwide
/06 What we build
We build AI into the fabric of your products and operations — not as a feature bolt-on, but as the core decision-making layer your entire business runs on.
See all servicesMulti-agent systems that execute complex workflows, make decisions, and call external APIs — with full audit trails.
/02Production-grade retrieval-augmented generation, fine-tuned models, and prompt pipelines grounded in your data.
/03Legacy modernisation 5–10× faster using AI code translation, automated test suites, and intelligent refactoring.
/04Real-time ML pipelines that forecast demand, detect anomalies, and prescribe the optimal next action automatically.
/05Full-stack products where AI is the core decision loop — not a feature — built for scale and long-term reliability.
/07 Tools & technologies
TensorFlow
PyTorch
Keras
Scikit-Learn
Generative AI
Large Language Models
RAG Pipelines
OpenAI
spaCy
NLTK/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.
/13 Frequently asked
/14 Consultation
/15 Ready when you are
See a live agent or RAG system built around your use case — in 30 minutes. Or explore open roles and join the team building it.