Virexa Labs is a digital product engineering and consulting company. We combine strategic technology consulting, AI-first development, cloud infrastructure, and end-to-end product engineering to help organizations move from strategy to reliable systems in production , secure by design, built to scale.
Virexa Labs Private Limited is a full-spectrum digital product engineering and consulting company headquartered in India. We partner with startups, scale-ups, and global enterprises to conceive, design, build, and scale technology platforms that drive measurable business outcomes , not just working software, but systems that become your long-term competitive advantage.
Our capabilities span the entire technology spectrum: from strategic AI consulting and generative AI development to cloud-native infrastructure, enterprise software, mobile applications, blockchain platforms, IoT ecosystems, and data engineering. We bring the same standard of engineering excellence to a Series A startup's first MVP as to a Fortune 500 company's digital transformation initiative.
With hands-on experience powering technology for 50+ clients , including Shark Tank alumni, high-growth D2C brands, and regulated financial institutions , we understand what it takes to build systems that survive real-world complexity. Every engagement is structured around outcomes: reduced costs, faster time-to-market, and systems that scale without breaking.
From AI development and product engineering to cloud infrastructure, digital transformation, and data analytics , every service your enterprise needs, under one roof.
We help enterprises apply intelligence in ways that improve decisions, reduce manual effort, and support operations at scale. From custom LLMs to agentic workflows, every AI engagement begins with your business objectives , not with the technology.
We design, train, and deploy custom AI models built specifically around your enterprise data and workflows. Our end-to-end AI development process covers use-case discovery, data preparation, model architecture selection, training, evaluation, and production deployment with ongoing performance monitoring. Every model we ship is tested for bias, interpretability, and robustness before it touches production , because AI that you cannot trust is AI you cannot use.
Our AI consulting practice works with executive and technology leadership teams to identify high-value AI opportunities, design the right architecture for your data maturity, and build a phased roadmap for implementation. We evaluate your existing systems, assess data quality and readiness, and define governance frameworks that ensure your AI investments remain ethical, explainable, and compliant with evolving regulations. We focus on practical ROI, not experimentation.
We build generative AI applications that create tangible operational leverage , from intelligent document processing and automated content pipelines to AI-driven code generation and multimodal media creation. Our generative AI consulting service helps organizations define a responsible GenAI strategy, select the right foundational models, establish safety guardrails, and integrate generative capabilities into existing enterprise workflows without disrupting day-to-day operations.
Agentic AI systems represent the next frontier of intelligent automation , systems that can reason, plan, and execute multi-step tasks across tools and APIs without continuous human intervention. We develop autonomous AI agents for business process automation, enterprise tool orchestration, and decision-support workflows. Alongside agents, we build productivity copilots embedded directly into your internal platforms that surface real-time insights, draft responses, and automate repetitive knowledge work at the point of use.
We build conversational AI solutions that handle real customer and employee interactions at scale , not scripted decision trees, but context-aware systems that understand intent, retrieve knowledge, and take action. Our AI chatbots are deployed across web, mobile, WhatsApp, Slack, and enterprise portals with full CRM integration. For voice, we develop AI-powered voice agents capable of replacing traditional IVR systems, handling inbound queries, and executing complex support flows through natural speech.
Machine learning creates value when it fits reliably into how an organization actually works. We develop supervised, unsupervised, and reinforcement learning models for classification, forecasting, anomaly detection, and optimization problems across industries. Our computer vision practice delivers production-grade visual AI systems for quality control, medical imaging, surveillance, and retail analytics. Our ML consulting arm supports teams in selecting the right algorithms, addressing model drift, and building robust ML infrastructure that scales.
Robotic Process Automation eliminates the repetitive, rule-based work that consumes your team's time and introduces human error. We design and deploy software robots that integrate with your existing ERP, CRM, and workflow systems to automate data entry, invoice processing, compliance checks, and cross-system reconciliation. Our Retrieval-Augmented Generation solutions enable enterprises to build powerful knowledge management systems , connecting large language models to your proprietary documents, databases, and knowledge bases to deliver accurate, citation-backed answers at scale.
Many organizations have existing software products that could deliver exponentially more value with embedded AI capabilities. We specialize in retrofitting and integrating AI features into live production systems , adding intelligent recommendations, predictive capabilities, natural language interfaces, and automation layers to SaaS products, ERPs, and enterprise platforms with minimal disruption. Our AI Product Engineering practice manages the complete lifecycle of AI-powered products: from ideation and prototyping through to launch and post-production optimization.
As AI adoption accelerates across enterprises, governance becomes critical. Unregulated AI systems expose organizations to regulatory penalties, reputational damage, and ethical violations. Our AI Governance Consulting practice helps organizations design comprehensive AI risk frameworks that cover model bias auditing, explainability standards, data lineage, human oversight mechanisms, and compliance with the EU AI Act, GDPR, and CCPA. We work with your legal, compliance, and technology teams to create governance policies that enable innovation while managing risk.
We turn business ideas into reliable, scalable digital products through a balance of design thinking, solid architecture, and rigorous engineering. From native mobile apps to complex enterprise software, every product is built to perform under real-world load and evolve with your business.
We build native iOS and Android applications as well as high-performance cross-platform apps using React Native and Flutter. Our mobile engineering teams follow a mobile-first architecture philosophy , designing for performance constraints, offline capability, and platform-specific UX conventions from the ground up. Every app we ship goes through rigorous QA across device matrices, OS versions, and network conditions before release. We also develop Progressive Web Apps (PWAs) that bridge the gap between web and native experiences.
From marketing platforms and SaaS dashboards to full-scale enterprise portals, we engineer web applications that combine technical depth with exceptional user experience. Our front-end teams work in React, Next.js, and TypeScript while our backend engineers build APIs and microservices in Node.js, Python, and Java. We follow API-first design principles, ensuring every web application is extensible, performant, and ready to integrate with your existing enterprise ecosystem.
Great engineering starts with great design. Our product design team conducts user research, competitive analysis, and usability testing before touching a single pixel. We create interaction designs, user flows, and high-fidelity prototypes that have been validated with real users , ensuring that what we build people actually want to use. Our mobile-first design methodology ensures that interfaces work beautifully on the smallest screen first, then scale elegantly to larger viewports. We also deliver scalable design systems that ensure consistency across large product suites.
We architect and build enterprise-grade software that handles the complexity, compliance requirements, and scale demands of large organizations. Our enterprise development practice covers SaaS platform development, CRM and ERP implementations, white-label software products, and offshore software development partnerships. We specialize in multi-tenant SaaS architectures, role-based access control systems, complex billing and subscription management, and deep third-party integrations with enterprise tools like Salesforce, SAP, and ServiceNow.
Quality is not an afterthought at Virexa , it runs in parallel with development from sprint one. Our QA engineers build comprehensive automated test suites covering unit, integration, end-to-end, and regression tests, with continuous integration hooks that catch regressions before they reach staging. We also provide standalone testing services: load and performance testing under production-scale traffic, security and penetration testing aligned to OWASP standards, and accessibility audits to ensure compliance with WCAG guidelines.
High-performing engineering organizations are defined not just by the code they write, but by how reliably they can deliver it. Our DevOps practice implements automated CI/CD pipelines, containerized deployment strategies, infrastructure-as-code, and environment management that compress release cycles from weeks to hours. Complementing this, our embedded product managers own roadmap planning, backlog prioritization, stakeholder alignment, and sprint execution , ensuring every development cycle produces measurable progress toward defined business goals.
Cloud modernization is not a lift-and-shift exercise. We help enterprises rethink how applications and infrastructure are structured so systems remain secure, resilient, and ready to scale responsibly over time.
Before moving anything to the cloud, you need a clear architectural vision tailored to your workload characteristics, compliance requirements, and cost targets. Our cloud architects conduct comprehensive assessments of your existing infrastructure, application portfolio, and data estate, then design cloud architectures on AWS, Google Cloud, or Microsoft Azure that balance performance, availability, and cost-efficiency. We deliver cloud strategy documents, reference architectures, and Well-Architected Framework reviews that serve as the blueprint for your cloud journey.
Migrating workloads to the cloud without the right methodology leads to cost overruns, performance degradation, and prolonged downtime. Our cloud migration practice follows a structured six-phase methodology: assess, plan, design, migrate, optimize, and operate. We handle application re-hosting, re-platforming, and re-architecting migrations across all scales , from a single monolithic application to enterprise-wide data center consolidations , with dedicated war rooms, rollback plans, and zero-downtime cutover strategies.
Post-migration, enterprises need a trusted partner to operate and continuously optimize their cloud environments. Our Cloud Managed Services deliver 24/7 infrastructure monitoring, capacity planning, patch management, cost governance, and security remediation through a dedicated SRE team. We take full ownership of your cloud operations , defining SLAs, responding to incidents, and proactively identifying optimization opportunities , so your internal teams can focus on building products rather than managing infrastructure.
Reliability is an engineering discipline, not a hope. Our Site Reliability Engineering practice embeds SLO-driven reliability thinking into your development lifecycle , defining error budgets, building runbooks, and instrumenting every service with comprehensive observability from day one. We deploy full observability stacks (metrics, logs, traces, and alerts) using Grafana, Prometheus, Datadog, and OpenTelemetry, enabling real-time anomaly detection, root cause analysis, and proactive incident prevention before your customers notice anything is wrong.
As workloads move to the cloud, the attack surface expands significantly. Our Cloud Security practice implements a Zero Trust architecture model , where every user, device, and network flow is continuously verified rather than implicitly trusted. We conduct cloud security posture assessments, implement identity and access management frameworks, harden network configurations, encrypt data at rest and in transit, and establish compliance controls for SOC 2, ISO 27001, HIPAA, and PCI DSS on cloud infrastructure.
Payment infrastructure is mission-critical and unforgiving of errors. We design, implement, and maintain high-availability payment systems that handle checkout orchestration, payment gateway integration, smart retry logic, idempotent transaction handling, and reconciliation pipelines. Our payment engineers have deep expertise in building systems that process high transaction volumes with sub-100ms latency, maintain PCI DSS compliance, and deliver intelligent fraud detection through rule-based and ML-powered risk scoring engines.
Digital transformation is less about tearing systems down and more about understanding how technology fits into your day-to-day operations. We study what works, identify the friction, and introduce change in phases , guided by real usage data, practical experience, and the need to scale over time.
Legacy systems are often the biggest bottleneck to business agility , but ripping and replacing them is rarely the right answer. Our application modernization practice takes a strangler fig approach: incrementally decomposing legacy monoliths into modern, cloud-native microservices while keeping the existing system operational throughout the transition. We specialize in modernizing COBOL, VB6, Java EE, and .NET Framework applications to contemporary architectures using containerization, event-driven design, and API gateway patterns.
Distributed ledger technology creates value in scenarios where trust must be shared across multiple parties without a central authority. Our blockchain practice covers the full development spectrum , from designing token economics and consensus mechanisms to deploying production-ready smart contracts and decentralized applications. We also offer blockchain consulting for organizations evaluating whether distributed systems are the right fit for their use case, helping them avoid costly misapplications of the technology.
We build decentralized applications (dApps) that leverage blockchain's immutability and transparency to create trustless interactions between parties. Our smart contract development team writes secure, gas-optimized Solidity contracts with comprehensive audit trails and formal verification. We also design and develop full-featured NFT marketplaces , including minting engines, royalty management, secondary market infrastructure, and wallet integrations , for creators, enterprises, and gaming platforms entering the Web3 ecosystem.
The Internet of Things creates value only when the data generated by connected devices becomes reliably usable within your decision-making systems. We architect end-to-end IoT ecosystems that connect hardware sensors, industrial equipment, and consumer devices to cloud-native data platforms through secure, low-latency communication protocols. Our IoT work spans industrial automation, smart building management, connected vehicle telemetry, agricultural monitoring, and healthcare device integration , delivering real-time visibility, predictive maintenance triggers, and operational intelligence.
Augmented and virtual reality deliver enterprise value when they solve specific, high-stakes problems , training scenarios where mistakes are costly, remote collaboration where presence matters, and product visualization where physical prototypes are impractical. We build AR overlay applications for field service technicians, warehouse picking guidance, and surgical navigation. Our VR development covers immersive training simulations for manufacturing safety, corporate onboarding, and emergency response , reducing training costs while dramatically improving knowledge retention and safety outcomes.
Security must be treated as a design constraint from the earliest architectural decisions , not a layer applied after the fact. Our cybersecurity practice integrates security throughout the development lifecycle: threat modeling during architecture, automated SAST/DAST scanning in CI/CD pipelines, and continuous runtime monitoring in production. Our SecOps team operates as an extension of your security function , running penetration tests, managing vulnerability disclosure programs, and building Security Operations Center (SOC) playbooks that reduce mean time to detect and respond to incidents.
Our consulting teams work with enterprises to align technology decisions with long-term strategy. The focus is always on solving core business problems rather than adding more tools , every recommendation is grounded in your commercial reality, technical constraints, and growth trajectory.
Our IT consulting practice helps organizations make smarter technology investments and avoid the costly mistakes that come from misaligned strategy and execution. We partner with CTOs, CIOs, and technology boards to conduct comprehensive IT audits, evaluate current-state architecture against business objectives, and design future-state technology blueprints. Our consultants are practitioners first , they have built and scaled systems at scale, which means our strategic recommendations are always grounded in engineering reality, not slide decks.
Organizations building software at scale frequently encounter inflection points , architectural decisions that will determine whether their platform can support 10x growth or collapse under its own complexity. Our software consulting teams conduct deep-dive architecture reviews, evaluate technology stacks against scalability and maintainability criteria, and design modernization roadmaps that reduce technical debt without halting feature development. We bring an independent perspective informed by hundreds of engineering engagements across diverse industries and scales.
Financial services technology demands a unique combination of technical sophistication, deep regulatory knowledge, and commercial acumen. Our FinTech consulting practice supports banks, NBFCs, payment companies, insurtech firms, and wealthtech startups in navigating the intersection of innovation and compliance. We advise on core banking modernization, open banking API architecture, PCI DSS and RBI compliance strategy, digital lending platform design, and the technical requirements for operating in multiple regulatory jurisdictions simultaneously.
A successful mobile strategy requires far more than choosing between iOS and Android , it demands decisions about architecture patterns, offline-first capabilities, push notification strategies, app store optimization, and the delicate balance between native performance and cross-platform development velocity. Our mobile consulting team helps product organizations define their mobile strategy, audit existing apps for performance and UX quality, select the right technology stack for their specific use case, and design the backend APIs and infrastructure that will support millions of concurrent mobile users.
Technology infrastructure requires constant attention , patches, upgrades, monitoring, and incident response , that diverts valuable engineering time away from product development. Our Managed IT Services provide a comprehensive operational wrapper around your entire technology estate. We take ownership of proactive monitoring, vulnerability remediation, capacity planning, disaster recovery testing, and vendor management under clearly defined SLAs. Our managed services model is designed to reduce your operational overhead while improving system reliability and security posture.
Building a high-performing engineering team is time-consuming and expensive. Our IT outsourcing and dedicated team models give you immediate access to pre-vetted senior engineers who operate as an embedded extension of your organization , following your workflows, tools, sprints, and code standards. Unlike traditional outsourcing vendors, our teams are structured around long-term partnerships: we invest in understanding your business domain deeply, which makes our engineers more effective decision-makers, not just code executors. We also offer IT Audit services to assess risk, compliance, and operational effectiveness across your technology function.
Data only becomes useful when teams can rely on it. We design data foundations that support analytics, AI, and insight generation across functions , without adding complexity, fragility, or unmanageable dependency. Our data engineering practice treats data as a first-class product.
Modern enterprises generate data at volumes and velocities that traditional relational databases cannot handle. Our big data engineering practice designs and builds the infrastructure that feeds your analytics and AI systems , from high-throughput event streaming platforms to petabyte-scale data lakes and cloud data warehouses. We architect solutions using Apache Kafka, Spark, Flink, dbt, and Databricks that transform raw, heterogeneous data into clean, reliable datasets consumed by BI tools, ML models, and operational dashboards across the organization.
Raw data warehouses are only as valuable as the insights they produce. Our analytics and BI practice transforms your data assets into operational intelligence , building self-serve analytics platforms, executive dashboards, and embedded analytics products that put the right metrics in front of the right people at the right time. We work with Power BI, Tableau, Looker, Metabase, and custom React-based dashboard frameworks, designing KPI frameworks, data models, and semantic layers that make complex data accessible to non-technical stakeholders without sacrificing analytical depth.
Descriptive analytics tells you what happened; predictive analytics tells you what will happen next. Our data science team builds statistical models and machine learning pipelines that forecast demand, predict customer churn, score credit risk, optimize pricing, and detect operational anomalies , giving your organization the ability to act before problems materialize. We productionize these models within robust MLOps frameworks that handle model versioning, drift detection, automated retraining, and A/B testing of model updates without disrupting production systems.
Unreliable data pipelines are the hidden tax on every data-driven initiative. We design and implement resilient ETL and ELT pipelines that ingest data from dozens of heterogeneous sources , transactional databases, REST APIs, SaaS platforms, event streams, and third-party data providers , and deliver clean, validated, and lineage-tracked data to your warehouse on defined SLAs. We build data quality monitoring systems that alert engineers to schema drift, null rate anomalies, and referential integrity violations before downstream consumers are affected.
Many organizations have valuable data assets and ambitious analytics goals but lack the internal expertise to bridge the gap between raw data and production-ready intelligence. Our data science consulting service provides senior data scientists and ML engineers on an advisory and hands-on basis , helping your team select the right modeling approaches, evaluate model performance rigorously, design experiment frameworks, and build the internal capabilities to sustain your analytics practice independently over time.
As data assets grow in value, so does the risk of misuse, regulatory non-compliance, and unauthorized access. Our data governance practice designs the policies, processes, and technical controls that ensure your data assets are properly classified, protected, and managed across their lifecycle. We implement data catalogs with rich business metadata, establish access control frameworks aligned with GDPR, CCPA, and HIPAA requirements, build data retention and deletion workflows, and create the organizational accountability structures needed to maintain data quality and trust at scale.
From Shopify storefronts and WordPress ecosystems to custom-built platforms from scratch, we deliver the full spectrum of platform engineering. Whether you need a new product built ground-up, an AI-powered feature added to an existing system, or an ongoing maintenance partner, we have you covered.
As Shopify development specialists, we build high-converting storefronts, custom Shopify apps, and complex checkout customizations for D2C brands and enterprises scaling on Shopify Plus. Our expertise spans custom theme development using Liquid, Sections Everywhere, and the Storefront API, alongside Shopify app development for unique business logic that the standard platform cannot support. We have deep experience integrating Shopify with ERPs, 3PLs, CRMs, and marketing automation platforms to create unified commerce ecosystems.
WordPress powers over 40% of the web for good reason: when built properly, it offers unmatched flexibility at a sustainable cost. We build performance-optimized WordPress websites, complex WooCommerce stores, and headless WordPress deployments that decouple content management from the frontend presentation layer. Our WordPress practice covers custom plugin development, Gutenberg block libraries, multisite configurations, and enterprise-grade security hardening for high-traffic publishing and commerce platforms.
We specialize in building software products and features using Claude by Anthropic as the underlying AI engine, enabling a new class of intelligent applications that understand context, follow nuanced instructions, and perform complex reasoning tasks reliably. Our Claude AI development covers embedding Claude into enterprise workflows, building Claude-powered document processing systems, code review automation, customer support intelligence, and complex multi-turn reasoning agents. We also offer AI-assisted code generation services where we architect and deliver production-grade codebases with dramatically reduced development timelines through systematic AI-augmented engineering.
Building the right product from scratch is one of the highest-stakes engineering decisions a founder or product team makes. Our Scratch Development service takes your idea from a blank page to a production-ready product through a structured process of discovery, architecture, design, and iterative engineering. We specialize in greenfield development for startups and enterprises launching new product lines, ensuring that every architectural decision made in the early stages is one the product can scale with, not scale around. We avoid shortcuts that create technical debt and build foundations your future team can build on confidently.
Every growing product reaches a point where the next phase of user value comes not from rebuilding but from extending what already exists. Our Feature Add-on Development service integrates new capabilities into your live production systems with minimal disruption, following strict backward-compatibility standards and comprehensive test coverage. We handle the complexity of working within unfamiliar codebases, integrating with third-party services, and delivering features that meet your quality bar while respecting existing architectural decisions made by previous teams.
The most expensive engineering mistake is building the wrong thing. Our Product Discovery service runs structured, time-boxed workshops that transform vague product ideas into clear, validated specifications before a single line of code is written. We conduct user research, competitive analysis, assumption mapping, and technical feasibility assessments to produce a prioritized feature backlog, user story maps, architecture recommendations, and a sprint-ready product specification. Discovery typically takes 1 to 3 weeks and saves months of misdirected development.
Security vulnerabilities left undetected become breaches. Our Security Audit service conducts comprehensive reviews of your application code, infrastructure configuration, authentication systems, and data handling practices to identify vulnerabilities before attackers do. We combine automated static and dynamic analysis with manual expert review to surface issues that automated tools miss, delivering a prioritized remediation report with specific code-level fixes for every finding. Post-audit, our team implements the recommended hardening measures and validates the fixes under simulated attack conditions.
Live production systems require continuous attention to stay healthy, secure, and performant. Our Application Maintenance service provides a dedicated engineering team that monitors your systems, applies security patches, resolves bugs, manages dependency upgrades, and handles the operational overhead that your product team should not be distracted by. We work on SLA-backed response times, provide monthly health reports, and proactively identify performance regressions, security vulnerabilities, and reliability risks before they become incidents.
Modern marketing-driven organizations need the ability to ship design changes and content updates at the speed of their campaigns, without waiting in an engineering queue. We build Webflow sites that marketing teams can operate independently, headless CMS implementations using Contentful, Sanity, or Strapi paired with custom React frontends, and hybrid architectures that give content teams control while preserving the flexibility engineering teams require. The result is faster go-to-market cycles without technical compromise.
We bring specialized domain knowledge, proven technology frameworks, and regulatory expertise to 30+ industries , delivering purpose-built solutions where generic technology falls short.
What separates Virexa Labs is not just technical capability , it is the combination of engineering discipline, domain expertise, and long-term partnership thinking that turns complex technology problems into durable business advantages.
We don't treat AI as a feature to be added later. Every system we architect considers where intelligence can reduce human effort, improve decision quality, and create compounding value , from the very first sprint.
We take full accountability for outcomes , from the initial discovery workshop through to production deployment and post-launch optimization. When you work with Virexa Labs, there is no gap between strategy and execution.
Security is not a checklist item at Virexa , it is a design constraint woven into every architectural decision. We build systems that are compliant with GDPR, HIPAA, PCI DSS, and ISO 27001 from the first line of code.
Every strategy we recommend has been executed in production. Our team consists of senior engineers who have built systems at scale at leading Indian and global technology companies , our advice is grounded in real-world implementation experience.
We operate with radical transparency , clear SLAs, weekly delivery reviews, shared dashboards, and honest communication about risks. Every engagement is structured around measurable business outcomes, not hours billed.
Our relationship does not end at deployment. We provide SLA-backed post-launch support covering 24/7 incident response, proactive performance monitoring, security patching, and continuous feature development , ensuring your systems remain reliable as your business scales.
Every metric below represents real, measurable business impact delivered to our clients across industries
200+ projects across FinTech, Healthcare, E-Commerce, Logistics, AI, and more. Filter by industry or service to see relevant work.
Multi-gateway payment orchestration for 10+ Shark Tank India brands. Rs. 5Cr+ GMV, 99.5% transaction success rate, sub-100ms processing.
Custom Shopify Plus storefront for Shark Tank India brand. 280% mobile conversion lift, Rs. 2Cr+ monthly GMV, 1.8s LCP performance.
Claude-powered customer support chatbot for a B2B SaaS platform. 65% ticket deflection, 92% user satisfaction, 3x faster resolution.
A structured, phase-driven approach designed for transparency, accountability, and measurable progress at every stage of your project
We begin every engagement with a deep discovery phase , auditing existing systems, understanding business objectives, mapping technical constraints, and defining a clear roadmap with milestones and success criteria that both parties can measure against.
Before writing a single line of code, our architects design the system blueprint: data models, API contracts, infrastructure topology, security architecture, and integration patterns. This reduces rework by 60%+ and ensures we build the right thing the first time.
We work in two-week agile sprints with continuous delivery to staging environments. You receive working, tested software every fortnight with full visibility into engineering decisions, velocity metrics, and technical risks through shared dashboards and regular review calls.
Production deployment follows a rigorous release checklist covering load testing, security review, monitoring setup, and runbook documentation. Post-launch, we remain actively engaged , optimizing performance, managing infrastructure, and evolving the product as your requirements grow.
We select technologies based on what best solves your problem , not on trends or familiarity. Every tool in our stack has been proven in production at scale.
Share a few details about your project, and our consulting team will respond within 24 hours with technical insights, architecture recommendations, and a clear path forward , fully NDA-protected.
Engineers, architects, and specialists who have built and scaled production systems across fintech, e-commerce, AI, cloud, and mobile. We bring practitioner credibility to every client engagement.
Divesh Joshi is the Founder and CEO of Virexa Labs Private Limited. Before founding Virexa Labs, he served as Technical Point of Contact at Juspay, India's leading payments infrastructure company, leading integrations and platform operations for 10+ high-growth D2C brands including Shark Tank India alumni, overseeing systems processing over INR 5 Crore in GMV. Under his leadership, Virexa Labs delivers AI development, product engineering, cloud infrastructure, digital transformation, Shopify and WordPress platforms, security, maintenance, and data engineering across 20+ industries globally. Core expertise: Node.js, React, Python, AWS, distributed systems, and generative AI.
Specialist in scalable Node.js backends, React frontends, and PostgreSQL data architecture. Has shipped enterprise SaaS platforms and high-traffic e-commerce systems for clients across FinTech and D2C verticals.
Builds production LLM pipelines, RAG systems, and computer vision models. Experienced in integrating OpenAI, Claude, and open-source models into enterprise products with robust evaluation and monitoring frameworks.
Designs resilient cloud architectures on AWS and GCP with Kubernetes orchestration, Terraform IaC, and full observability stacks. Has led cloud migrations and DevOps transformations for enterprises and SaaS companies.
Delivers native-quality mobile experiences with React Native and Flutter. Proficient in iOS (Swift) and Android (Kotlin) native development, offline-first architecture, and App Store optimization for consumer apps.
Certified Shopify Partner developer with deep expertise in Liquid, Shopify Plus, custom app development, and WooCommerce. Has built and optimized e-commerce stores processing millions in GMV with focus on conversion optimization and third-party integrations.
Describe your project and our team will respond with technical insights, timeline estimates, and a clear path forward , typically within 24 hours.
Whether you are a startup shaping your first product or an enterprise ready to modernize a critical system, Virexa Labs has the domain expertise and engineering capability to deliver , on time, within budget, and to specification.