Apps, sites and talent for PropTech and RealEstate companies
We're a Lean+Agile dev house that uses a hybrid onshore/near-shore approach to supplying solutions and services for businesses in the real estate industry. If it's software we can build it. Or we can supply the talent so you can build it yourself.
Software and talent for PropTech and RealTech startups
Get your idea into the market. Start shipping. SoftwareSeni provides the software development services and expertise you need to turn your PropTech and RealTech business models into active competitors. Our hybrid onshore/near-shore model gives the cost advantages of outsourcing without the headaches.
SoftwareSeni specialises in delivering tailored solutions for the PropTech industry. Our founders have years of experience in the industry and with delivering technical solutions.
We understand the unique needs of PropTech startups and can provide high-quality, robust, and reliable solutions that can handle your business-critical operations. We pride ourselves on being flexible and adaptable to your changing needs, and our solutions can easily scale as your business grows.
Websites, web apps, Android and iOS apps, high performance monetisable APIs - if you can imagine it, our team of developers, UI and UX designers, technical and customer support professionals, can deliver it.
1200+
Successful projects
50+
Clients worldwide
210+
Skilled staff
Offices in Sydney, Jakarta and Yogyakarta
Our Services
What Sets Us Apart?
Our Work
An Expert in Digital Business Transformation
SoftwareSeni Teams excel in delivering digital transformation for businesses, ranging from SMEs to Corporations. As an AWS official consulting partner that is trusted by 100+ companies around the world, we consistently set the bar high to support our clients’ business goals.
We Are Proud of Our Work, and So Are Our Clients
Our PropTech Clients
Recent Articles
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Understanding Multi-Agent AI Orchestration and the Microservices Moment for Artificial Intelligence
A comprehensive guide to multi-agent AI orchestration covering patterns, frameworks, failure prevention, and implementation for teams evaluating this technology.
Getting Started with Multi-Agent Orchestration Using a Three-Phase Implementation Roadmap and Pilot Strategy
Follow a proven three-phase roadmap for multi-agent orchestration, from foundation through pilot to scaling, with realistic ROI timelines and KPI frameworks.
Security Governance and Human-in-the-Loop Patterns for Enterprise Multi-Agent AI Systems
Explore security threats, human-in-the-loop oversight patterns, and governance frameworks that protect enterprise multi-agent AI systems from failure.
Navigating the Multi-Agent Framework Landscape from CrewAI to LangGraph to AutoGen and Beyond
Compare CrewAI, LangGraph, AutoGen and more multi-agent frameworks with selection matrices, infrastructure requirements, and production trade-offs.
Model Context Protocol and the Battle for AI Agent Standardisation Across Frameworks and Platforms
Compare MCP, A2A, and AGNTCY protocols shaping AI agent standardisation, with ecosystem data and vendor lock-in strategies for infrastructure decisions.
Why Observability is Table Stakes for Multi-Agent Systems in Production Environments
Discover why 89% of production deployments use observability. Compare LangSmith, Opik, and OpenTelemetry for multi-agent systems with proven evaluation methods.
Deciding Between Single-Agent and Multi-Agent Systems Using a Practical Framework for Complex Workflows
Learn when multi-agent AI complexity is justified. Decision framework covers context overflow, specialization conflicts, and parallelism with industry adoption data.
Understanding Orchestration Patterns for Multi-Agent Systems and How They Affect Performance Coordination and Reliability
Technical comparison of 5 orchestration patterns with trade-offs, TAO cycle mechanics, and coordination overhead quantification for CTOs.