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Multichoice installer payments vs CaseNotes vs Ventaw

The problem, what was built, the stack and the outcome, next to each other.

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In common

  • Shared stack: none in common

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Multichoice installer payments ›

R5M+ paid to installers in the first six months

CaseNotes ›

South African legal research, e-discovery and learning, powered by AI

Ventaw ›

Secure, isolated environments for developer workloads

At a glance

Role
Integration engineer
When
Delivered
Length
—
Status
Delivered
Type
Platform
Role
Founder / Lead Engineer
When
Feb 2026 – present
Length
9 mo so far
Status
Live
Type
AI, Web, Mobile
Role
Founder / Lead Engineer
When
In progress
Length
—
Status
In progress
Type
Platform, Web

The problem

Integrated the installer management system into Multichoice's payment process so installers are paid accurately and on time.
South African legal information is scattered across portals with limited keyword search, while international e-discovery platforms are often priced beyond the local market.
Environment provisioning, session management and resource monitoring, designed for security, multi-tenancy and concurrent workloads.

What was built

—
An integrated research, e-discovery and learning platform: hybrid semantic search across more than 10,000 judgments, a precedent citation graph, structured document extraction, AI-assisted discovery and stateful research workflows.
—

Stack

  • Payments integration
  • Next.js
  • FastAPI
  • PostgreSQL
  • pgvector
  • Neo4j
  • Redis/ARQ
  • Azure OpenAI
  • LangChain
  • LangGraph
  • Next.js
  • FastAPI
  • Docker

Highlights

  • Processed over R5 million in installer payments within six months
  • Five-stage Graph RAG pipeline in LangGraph
  • Hybrid pgvector and Neo4j retrieval, and a TAR active-learning loop
  • Human-in-the-loop tool-calling chat with PostgreSQL checkpoints
  • MCP server for case search and drafting
  • Next.js management interface
  • FastAPI orchestration APIs

Infrastructure choices

—
  • pgvector + Neo4j
  • Redis / ARQ workers
  • LangGraph with PostgreSQL checkpoints
—

Outcome

Over R5 million in installer payments processed within six months.
An integrated research and review platform grounded in more than 10,000 judgments, with a structured learning bank of 1,624 rubric-scored questions. The architecture supports resumable jobs, traceable sources and human review.
—