Egen Solutions and SpringML have merged to unleash the power of cloud, data, AI, and platforms for organizations. Our combined company is now named Egen.

We are excited to bring together our two companies, joining platform engineering expertise and experience with data, AI, analytics, and cloud capabilities to strengthen the impact and value we deliver for organizations advancing their digital journeys.

You can expect the same high standards from us as we combine forces to bridge technology and human empowerment.

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Building personalized
grocery platform
for consumer
dietary needs

In a byte

Sifter is the brainchild of Andrew and Thomas Parkinson - veterans of online grocery. They imagined an online platform for consumers personalized to their dietary and nutritional needs, making it simple and safe to shop for groceries.

What we did

We helped the Parkinson brothers realize their vision. From building a complex machine-learning driven search tool to developing the UI, Egen helped launch Sifter from the ground up.


  • Cloud Strategy
  • Infrastructure as Code
  • Automated CI/CD Pipelines
  • Semantic Search
  • API Development
  • PWA UI App
  • Data Ingestion
  • Data Pipeline Orchestration

The impact


Reduced data processing
time to 4 hours,
1/3rd of estimate


Built a robust data platform to handle
25 million SKUs


Near real-time
syncing with
10+ large retailers

A rekindled partnership.

Before Sifter, the Parkinson brothers had worked with Egen on reimagining Peapod's Cloud Architecture. Delighted by the success we provided, they returned to our experts to help build Sifter.

We understood their mission immediately. We knew Sifter would need robust data pipelines to handle information on over 25 million grocery SKUs from multiple partners and the plan was to process data in 12 hours. This data would be communicated over a seamless user interface that would recommend products based on preferences, diet, and lifestyle.

For third-party access, Sifter needed a fool-proof access security solution.

API-friendly shopping platform.

We helped build Sifter by keeping its founders’ vision in mind. To deliver personalized recommendations, we created a secure engine that uses an API to connect to third-party tools.

We also automated the data ingestion process to reduce processing times to 4 hours - an amazing accomplishment in a third of the planned time. By implementing serverless architecture, we designed a reliable, scalable platform for Sifter, helping them realize their vision of personalized groceries for all.


  • Vue.js

  • Nuxt.js

  • Python

  • Django

  • Flask

  • Elasticsearch

  • Logstash

  • Redis

  • Airflow

  • PostgreSQL

  • Terraform

  • Azure Kubernetes Service

  • Elastic APM

  • GitHub

  • Azure DevOps

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