InvestPulse
https://investpulse.com.auAbout
A centralised platform designed to help property investors manage their portfolios. Provides real-time insights on rental income, expenses, and key financial metrics. Helps streamline finances, reduce reliance on spreadsheets, and support data-driven decision-making.
Tech stack
Amazon Web Services (AWS)
MongoDB
React.jsCandid answers by the company
At InvestPulse, we're on a mission to empower real estate investors with the tools and insights they need to make informed decisions and maximise the potential of their investment properties.
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PythonReact.js
PostgreSQLLendFlow is an AI-powered home loan assessment platform that helps mortgage brokers and lenders save hours by automating document analysis, income validation, and serviceability assessment. We turn complex financial documents into clear insights—fast.
We’re building a smart assistant that ingests client docs (bank statements, payslips, loan summaries) and uses modular AI agents to extract, classify, and summarize financial data in minutes, not hours. Think OCR + AI agents + compliance-ready outputs.
🛠️ What You’ll Be Building
As part of our early technical team, you’ll help us develop and launch our MVP. Key modules include:
- Document ingestion and OCR processing (Textract, Document AI)
- AI agent workflows using LangChain or CrewAI
- Serviceability calculators with business rule engines
- React + Next.js frontend for brokers and analysts
- FastAPI backend with PostgreSQL
- Security, encryption, audit logging (privacy-first design)
🎯 We’re Looking For:
Must-Have Skills:
- Strong experience with Python (FastAPI, OCR, LLMs, prompt engineering)
- Familiarity with AI agent frameworks (LangChain, CrewAI, Autogen, or similar)
- Frontend skills in React.js / Next.js
- Experience with PostgreSQL and cloud storage (AWS/GCP)
- Understanding of financial documents and data privacy best practices
Bonus Points:
- Experience with OCR tools like Amazon Textract, Tesseract, or Document AI
- Building ML/NLP pipelines in real-world apps
- Prior work in fintech, lending, or proptech sectors
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