Phase Map
We have completed the key features of the platform and ready for integrations. However, we would love to have more experienced developers onboard to help us with the additions we believe will differentiate us from existing low-code platforms. We thereby, warmly welcome volunteers who are passionate about building impactful systems to join us in completing the tasks outlined below.
1. File processing using serverless functions
2. Testing with various cloud SQL databases
3. Testing with databases deployed in a kubernetes cluster
4. Support for blockchain data migration
5. Automation for provisioning client environment
6. Support for GraphQL
7. Platform UI Revamp
8. JSON config generation
9. Research on dataset APIs, ML pipelines and AI agents
10. Building a community of developers and early adopters
We started in 2019 with an online cosmetics store where we sourced the items from various organic and cruelty-free brands. From 2021 onwards we focused more on product development while undertanding the most important aspects of a low-code data application - UI design, front-end, back-end, hosting and cloud platforms.
2021-2022 - Discovery & Research
Combined experiences in different domains to finalize the design after several iterations.
2023 - Testing the First Version
Completed the JSON tags followed by testing each one in the first few templates.
2024 - Adding Advanced Templates
Created the CRM & Accounting templates after thorough online and offline research.
2025-2026 - Testing & Optimization
Fix bugs, start working on advanced features while interacting with prospect clients.
The First Deliverable
Designing a framework that is hyper focused on the complete data management lifecycle viz. collection, processing, management, analysis and visualization.
Building on Four Technologies
We want to make this the easiest low-code tool to learn. SQL, JSON, HTML/CSS can be generated using AI. They are also simpler to update manually.
Promoting Data-driven Decisions
While analysts love AI powered spreadsheets, they continue to use scripting languages along with enterprise software to extract information from data.
Focusing on Data Quality
Being able to help generate high quality data is key in data management. RPA and agentic AI will increasingly harness this data to drive precision at scale.
Our Template Portfolio
Auto Repair Shop CRM
Multi-functional Dashboard
House Rental
House Rental Management
Revenue & Expenses
eCommerce Cash flow Portal
Data Engineering
Data Migration Pipeline
Project Issue Tracking
Requirements Dashboard
Survey
"Contact us" and "Survey" Forms