Perspicacious IT Services bridges full-stack engineering with cloud-native solution architecture to build the low-latency systems banking, insurance, betting, manufacturing and construction platforms depend on.
15+ years engineering production systems in banking, insurance, betting and automotive.
Rigorous engineering practice built for regulated, audit-heavy environments.
AWS-first architecture with Infrastructure as Code from day one.
No account-manager layer — engagements led directly by the engineer.
LLM and agentic workflows applied where they genuinely cut effort.
Delivering comprehensive engineering capability across full-stack development, cloud architecture, and applied AI.
System design, technology selection and vendor evaluation for platforms that need to scale reliably under regulation.
End-to-end build of backend services, web applications and mobile apps across the stack — Java, Spring Boot, Node.js, Python, C#, C++, React and React Native, among other languages and frameworks as the project calls for.
Cloud-native infrastructure on AWS, Infrastructure as Code, and CI/CD pipelines that keep releases fast and safe.
High-throughput, low-latency backends built for environments where milliseconds and correctness both matter.
LLM-based and agentic workflow tooling, plus ML-driven automation for classification, triage and decisioning.
Automating manual workflows in underwriting, claims and document processing to cut turnaround time and cost.
Two products born from direct experience automating insurance workflows at scale.
Built to surface the signals investigators need faster, drawing on ML-based classification for large-scale document review.
Helping teams read, interpret and apply policy terms consistently, reducing manual review time on inbound claims.
Across banking, insurance, betting, automotive and SaaS.
Perspicacious IT Services is led directly by Binay Tripathi, a full-stack engineer and solution architect with 15+ years building production systems in banking, insurance, betting and automotive.
That means engagements are hands-on from day one: no account-manager layer between the brief and the build. Every project is designed, built and architected personally, with the same rigour applied whether it's a single service or a full platform.
Published research in the CADA journal on hierarchical task analysis and biomechanical modeling reflects the same instinct that shapes the engineering work: understand the system fully before touching it.
Reach out directly for project proposals, engineering consultations, or partnership inquiries.
Ringwood, Victoria 3134, Australia