Software Development,Cloud & AI Automation

What we deliver

• Unified order pipeline connecting Amazon, Flipkart, and your own website
• Backend systems for warehouse teams, dispatch workflows, and real-time inventory sync across all sales channels
• Ongoing maintenance, performance monitoring, and scaling as your order volume grows

In practice

The most instructive example of what this looks like in practice is satvicmovement.org — a high-growth wellness brand selling simultaneously across their own website, Amazon, and Flipkart. When order volumes started scaling, they needed a single source of truth for inventory, a unified dispatch queue for their warehouse team, and real-time sync across every sales channel. We built and deployed that pipeline from scratch. Today it processes thousands of orders daily with automatic channel reconciliation, warehouse task generation, and live inventory updates that prevent overselling across platforms. The system has handled seasonal spikes — periods where order volumes jump four to five times normal — without manual intervention or downtime. Beyond Satvic, we maintain similar backend infrastructure for eCommerce clients across fashion, health, and lifestyle. If your operations team is currently stitching together data from multiple portals every morning, that is exactly the problem we solve.

What we deliver

• Architecture design and provisioning: EC2, Lambda, RDS, S3, CloudFront, and more
• Ongoing operations: monitoring, backups, security patches, and cost optimisation
• Migration of on-premise or legacy cloud setups to production-grade AWS environments

In practice

Running Lexulous at scale — a word game with over ten million registered players — gave us an operational education in what AWS infrastructure actually requires to survive: not just the initial setup, but the ongoing discipline of monitoring, cost control, patch management, and incident response under real production load. That experience informs everything we do for clients today. When we take over an AWS environment, we start with a full audit: what is over-provisioned, what is under-monitored, what is spending money without purpose, and what would fail under a two-times traffic spike. We then deliver a prioritised remediation plan before touching anything in production. For most clients, the audit alone surfaces between 15 and 30 percent in avoidable monthly spend. Our ongoing operations service means your production environment has someone watching it who has seen what can go wrong at scale — not a generalist developer who also knows AWS, but engineers who treat infrastructure operations as a primary discipline.

What we deliver

• Automating repetitive business processes: data entry, report generation, lead routing, and follow-ups
• AI agents that query your internal systems, summarise findings, and surface actionable insights
• Custom agent workflows tailored to your industry, team structure, and existing tools

In practice

The businesses we have helped automate share a consistent pattern: capable people spending four to six hours a day on work that should not require a capable person. Report generation across multiple data sources. Chasing approvals through email chains. Copying data between systems that were never designed to talk to each other. Manually qualifying leads before routing them to sales. We build AI agents that take over these workflows end-to-end — not brittle scripts that break when a field moves, but agents that understand the goal and adapt. A typical engagement begins with a workflow audit: we map every manual process in a given team, score each by time cost and automation feasibility, and deliver a prioritised implementation roadmap. Work usually begins within two weeks of scoping. Clients typically recover the project investment within the first quarter through time savings alone, before accounting for the compounding effect of freeing experienced staff for higher-value work. We build on whatever tools your team already uses — no rip-and-replace required.

What we deliver

• Full-stack development: APIs, dashboards, admin panels, data pipelines, and integrations
• Requirements analysis, technical architecture, and delivery planning before a line of code is written
• Long-term support: bug fixes, feature additions, technology upgrades, and performance improvements

In practice

Twenty years of delivery has shown us that software projects almost never fail because of the coding. They fail because requirements were never properly pinned down, technical decisions were made by the wrong person at the wrong time, or handoffs between development and end users were rushed. Our process is built to close each of those gaps. We begin with a structured scoping phase — usually two to three weeks — that produces a detailed technical specification, architecture decision log, and delivery schedule before production code is written. Clients who have worked with agencies that jump straight to implementation frequently tell us the spec phase alone was more useful than months of previous development work. We have delivered systems across fintech (payments dashboards and reconciliation tools), logistics (dispatch and route optimisation platforms), healthcare (patient data pipelines and reporting), and SaaS (multi-tenant platforms and API products). The majority of our client relationships run for three or more years — maintenance, iteration, and scaling are built into how we work, not sold as add-ons.