Traditional Learning Management Systems aren’t designed for personalized learning or behavioral nudges. They lack adaptive content delivery and fail to engage modern learners who expect Netflix-style personalization.

We build custom LXPs using Vue.js for interactive interfaces and AWS Lambda for serverless scalability. Our platforms integrate with existing tech stacks and adapt content based on skill maturity, usage data, and role-specific KPIs. Gamified microlearning modules boost adoption and retention.

Example: When a user logs in, our LXP will display relevant content based on their role and past learning activity, automatically adjusting difficulty levels and suggesting peer collaborations for complex topics.

Real-time insight into talent ROI is hard to come by when data lives across disconnected systems. Without visibility into learning impact, attrition risk, or productivity trends, decisions are made with guesswork instead of evidence.

We build integrated dashboards using Power BI and Tableau that pull from ERP, CRM, collaboration tools, and HRMS systems. Our ETL pipelines, built with Apache Airflow, ensure data accuracy and real-time updates across all connected systems.

Example: You will be able to monitor individual, team, and cohort-level performance metrics in one dashboard, with predictive analytics highlighting potential retention risks and suggesting intervention strategies.

Sometimes, the product roadmap is clear. The backlog is healthy. However, internal bandwidth is simply not keeping up. You’re hiring, but not fast enough, or you’re hiring, but not finding the right fit at the right time. Meanwhile, deadlines stay fixed, and the team begins to stretch thin.

We provide hands-on contributors who are technically aligned and context-aware from day one. These are engineers, DevOps specialists, data analysts, and AI/ML practitioners who’ve worked across fast-moving teams. 

Some teams bring us in to cover short-term surges like product launches. Others lean on us to extend their in-house team long term. 

We also step in to stabilize high-velocity projects already underway or maintain delivery continuity when vendor shifts happen mid-stream. The model flexes, but the intent is always the same – no disruption, no ramp-up drag.

Our augmentation process involves technical assessments using HackerRank and Codility platforms, followed by cultural fit evaluations and trial periods.

Our professionals work directly within your existing development workflows using Git, Jira, and Confluence. They integrate with your CI/CD pipelines built on Jenkins or GitLab, and follow your coding standards and security protocols.

Example: A fintech company needing blockchain developers will get three pre-vetted Solidity experts who integrate with their existing Ethereum development team, use their Truffle framework, and deliver smart contract solutions within existing sprint cycles.