Engineering capacity for AI, software, and operations.

Production machine learning — designed, trained, deployed and monitored. We focus on systems that need to keep working: image and video understanding, document intelligence, structured-data inference, and operational anomaly detection.

• Model design, training, evaluation and iteration
• Data pipelines, labelling workflows, quality controls
• MLOps — model registry, deployment, drift monitoring
• Edge and cloud inference architectures
• Experimentation frameworks and offline/online evaluation

End-to-end software development — backend services, frontend applications, mobile clients, databases and the cloud infrastructure that ties them together. We are agnostic on stack but opinionated on engineering discipline.

• Backend architecture and service development
• Frontend and UI implementation
• Android and iOS mobile application development
• Database modelling and performance work
• Cloud infrastructure setup, monitoring and maintenance
• CI/CD pipelines and deployment automation

Quality as an engineering discipline, not an afterthought. We embed test engineers inside delivery pods and build long-lived test infrastructure that catches regressions early and cheaply.

• Manual and exploratory testing for product launches
• Automated test suites — unit, integration, end-to-end
• Performance and load testing under realistic conditions
• Security testing and vulnerability assessment
• Release management and pre-production sign-off

Once a system is live, someone has to keep it running. We provide ongoing monitoring, incident response and continuity planning — with named engineers, defined SLAs and proper runbooks.

• Bug triage, root-cause analysis and resolution
• Continuous performance monitoring and tuning
• On-call coverage with documented escalation paths
• Disaster recovery planning and execution
• System documentation, runbooks and operator training

Most enterprise systems live in an ecosystem of third-party services. We handle the integration work, configuration management across environments, and the regulatory framing that India operations need.

• Third-party service and API integration
• Configuration management across testing, staging and production
• Regulatory and compliance review for product launches
• Data-handling alignment with DPDP and sector regulations
• Market research and feedback analysis for product fit