ISPL was established in June 2016. We have offices in Silicon Valley (USA) and Hyderabad (India), and since 2020, we operate as a fully remote company with a global team.

We’ve partnered with companies across industries like fintech (Trinity Payments, TipBx), media & entertainment (PacPost), loyalty & e-commerce (Prodege, ShopAtHome, GearLaunch), automotive (LotLynx), education (Green Flower), and health & lifestyle (MealShare). Our diverse experience allows us to adapt to any domain.

Our tech stack covers:

• Backend: Node.js, Java, .Net, Serverless Lambda, Firebase
  
  
• Frontend: Angular, React, Vue, Native/Hybrid mobile apps
  
  
• DevOps: AWS, Azure, GCP, CI/CD, Docker
  
  
• Databases: SQL (MySQL), NoSQL (MongoDB, Redis), PowerBI
  
  
• Big Data/AI/ML: Snowflake, Redshift, Spark, Python
  
  
• UI/UX: Figma, Adobe Suite, InVision, AI-powered tools
  
  

CMS: WordPress.

Yes. Apart from client projects, we also develop in-house products such as:

• SellWide – multi-channel product listing tool for Shopify store owners.
  
  
• SakhaPay – a digital bill payment app for NRIs, teenagers, and senior citizens.
  
  
• SaralBiz – simple inventory and sales management tool.
  
  
• EmpTrack – real-time employee tracking solution.
  
  

ChatCraftCV – AI-powered resume and cover letter builder.

We approach every project with a product mindset rather than a service mindset. Our focus is on long-term value, innovation, and creating solutions as if they were our own. We combine technical excellence, client-centric design, and continuous learning to ensure successful outcomes.

Yes. From UI/UX design to backend/frontend development, cloud deployment, QA testing, and post-launch support, we provide complete end-to-end software product development services.

Absolutely. We’ve delivered large-scale data projects like:

• COPA – centralized athletics data collection and processing.
  
  

Veritas – dimensional data modeling, data marts, and asynchronous processing.
We specialize in big data, ETL, analytics, and machine learning.

Yes. Our clients include early-stage startups who need an MVP, as well as large enterprises who need scalable, enterprise-grade platforms. We adapt our processes to fit the client’s stage and business model.