From the first line of code to a live production system - we build full stack applications, cloud platforms, enterprise integrations, and quality-engineered software that enterprises actually depend on.
AI is in the engineering, not bolted on at the end.
Full stack development, cloud and enterprise modernization, and quality-managed services all under one roof, all with AI built in.
Custom software from full stack web and mobile applications to embedded systems, enterprise platforms, and API-first architectures. Built to run in production, not just in demos.
Migrating legacy systems, modernizing application architectures, integrating ERP platforms, and securing cloud infrastructure with Oracle, SAP, Dynamics, AWS, Azure, and GCP expertise.
Quality engineering, test automation, application management, and process automation ensuring software performs reliably in production, not just in the sprint review.
Every capability. One engineering partner.
15 interconnected engineering services built as one programme, not 15 separate vendor relationships.
End-to-end web and application development React/Next.js frontend, Node/Python/Java backend, database, DevOps, and deployment. AI-integrated from day one.
High-performance web and mobile applications responsive, fast, and built for real-world user volumes. Enterprise UX standards, mobile-first architecture.
Smart enterprise platform development workflow automation, operational intelligence, and AI-native enterprise applications that scale across large organizations.
Embedded firmware and systems development powering devices, industrial machinery, and edge hardware with real-time, AI-capable embedded software.
API-first architecture design, microservices decomposition, and service mesh implementation. The connectivity layer every modern enterprise platform depends on.
Cloud strategy, architecture, and migration across AWS, Azure, and GCP. Lift-and-shift, re-platform, and cloud-native rebuild the right approach for your workload.
Zero-trust cloud architecture, DevSecOps, CSPM, and data security for regulated environments. Security designed in not added after the breach.
Enterprise system integration connecting SAP, Oracle, Microsoft Dynamics, and legacy ERP to modern cloud platforms, data pipelines, and AI applications.
Legacy monolith to microservices. On-premise to cloud-native. Outdated codebases to AI-ready architectures. Modernization without the disruption.
Oracle ERP, database, and cloud implementation from initial architecture through go-live and post-implementation optimization. Certified Oracle expertise.
QA built into the engineering process, not added at the end. Functional, performance, security, and regression testing for enterprise-grade software.
Automated test frameworks across UI, API, and integration layers. CI/CD-native testing that catches regressions before they reach production.
Production application monitoring, incident management, patching, and ongoing optimization keeping enterprise systems running at peak performance.
RPA, intelligent workflow automation, and AI-driven process optimization that replaces manual steps without replacing key decision makers.
Every application XFactr.ai builds is designed to integrate with AI models, data pipelines, and intelligence layers - not refactored months later when someone asks "can we add AI to this?"
That means API-first design from day one. Event-driven architectures that feed AI models in real time. Cloud-native deployments that scale with AI workloads. And test automation that validates AI outputs alongside traditional software behavior.
Every application exposes clean, versioned APIs that AI agents, data pipelines, and enterprise integrations can call - not an afterthought.
Event-driven, microservices, and cloud-native patterns that support model inference, data streaming, and AI copilot integration without architectural debt.
Test automation frameworks that validate AI model outputs, catch regressions in AI-integrated features, and ensure data quality in AI-feeding pipelines.
Enterprise applications that receive real-time data from IoT devices and edge systems - the connectivity layer between field operations and enterprise intelligence.
Full stack development of a real-time operational intelligence platform connecting offshore equipment data to deep learning AI models - from sensor to decision in under 60 seconds.
End-to-end platform engineering - application modernization, ERP integration, data pipeline architecture, and AI-native product development that scaled a healthcare eCommerce operation 12x.
Cloud engineering, API development, and embedded solutions enabling 10+ production AI models across Schneider Electric's energy management portfolio - with OT-IT security architecture throughout.
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The blue glow is isolated and will not affect other sections.
The engineering layer enterprises miss when scaling AI - and how DevOps discipline applied to ML changes what's possible in production.
How full stack and embedded engineering together unlock computer vision applications that actually work on the manufacturing floor.
The data engineering and application architecture decisions that determine whether predictive models stay in notebooks or reach production.
XFactr.ai is an AI Full-Stack Engineering Company. We build enterprise software, AI systems, data platforms, edge intelligence, and cloud infrastructure - as one engineering team, not a collection of specialisms handed off between vendors.
Offices in Bangalore, Mangalore, and Atlanta. 200+ enterprise projects across energy, manufacturing, maritime, retail, and financial services.
From first sprint to live production - XFactr.ai engineers software that scales, integrates, and improves with every release. Tell us what you're building.
Understand your organization's AI readiness in one session.
A working session to scope your highest-value AI use case.
The enterprise guide to building a modern AI and data foundation.
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