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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How LLM Observability and AI SRE Agents Keep Production AI Systems Honest
LLM observability and AI SRE agents are one operational discipline. A four-stage maturity roadmap from auto-instrumentation to autonomous incident response.
What AI SRE Agents Actually Do in an Incident and When You Should Not Deploy One
AI SRE agents act autonomously on incidents — but only if your team meets four readiness conditions. Learn when they help and when they add overhead.
Comparing LLM Observability Platforms in 2026 to Find the Right Stack for Your Team
Compare LLM observability platforms in 2026 on cost model, OTel portability, evaluation depth, and vendor lock-in risk to find the right fit for your team.
Token Attribution and Cost Governance for Multi-Tenant LLM Products in Production
Token attribution is operational cost control, not reporting. Four-layer accounting, cache pricing, kill switches, per-tenant spend governance for LLM products.
OpenTelemetry for LLM Applications and Why It Prevents Observability Vendor Lock-In
OpenTelemetry’s gen_ai.* semantic conventions make LLM telemetry portable across any backend — so switching vendors never requires re-instrumenting your app.
Why Your Existing Monitoring Stack Cannot See When Your LLM Is Failing
Your dashboards show green while your LLM quietly fails. Learn the four failure modes traditional APM cannot detect and what signals you’re missing.
How to Build an AI-Ready API Architecture for the Agent Era
Six dimensions of AI-ready API architecture — from sprawl to revenue models. A practical guide to building APIs that AI agents can safely consume.
How Your API Estate Becomes a Revenue Driver in the Age of AI Agents
APIs have shifted from internal plumbing to revenue surfaces. Learn how to monetise your API estate in the age of AI agents — and make the board case.