A showcase of how we've helped startups and enterprises solve complex challenges through engineering excellence.
A cleaner presentation focused on the work, the approach, and the outcomes.
FinStream Global needed to modernize a legacy banking platform fast enough to support major user growth without service disruption or operational instability.
Scaling a legacy banking system to handle a 400% increase in concurrent users without downtime.
We re-architected the platform into a microservices-based ecosystem on AWS, added real-time data pipelines, and introduced a custom LLM assistant for support workflows.
Handled the growth surge successfully, reduced operational costs by 30%, and maintained 99.99% uptime during peak demand.
Maintained platform stability under peak demand while reducing operational cost by 30%.
The client needed a more intelligent operations layer to reduce route inefficiencies, improve delivery reliability, and gain real-time control across a large field fleet.
Manual route planning was causing major fuel waste and delivery delays across a 500-vehicle fleet.
We built an IoT-connected fleet platform with an AI routing engine that recalculates delivery paths using real-time traffic and weather signals.
Fuel consumption dropped by 22% and on-time deliveries improved from 85% to 98% within the first three months.
Operational routing intelligence raised delivery reliability to 98% in the first three months.
AgriTech Nepal wanted a more trustworthy supply-chain model that protected farmers, improved buyer confidence, and created clear provenance for every produce batch.
Low transparency in the organic produce chain was creating trust issues and unfair pricing for local farmers.
We built a blockchain-based tracking platform that records the produce journey from farm to table and supports fair, automated settlements through smart contracts.
The platform onboarded 5,000+ farmers, increased average profit margins by 15%, and helped establish a fully transparent organic brand proposition.
Created a more transparent market model while improving average farmer margins by 15%.