We build software that makes businesses smarter.
Arrayscript designs, builds and modernizes digital products, with AI embedded where it creates real operational and customer value, not where it looks impressive.
Building and operating software from Pune since 2024
Three engagements, three systems now running in production.
Vivon Global
Replaced spreadsheet-run operations with a single web application for orders and approvals.
Faster operational workflows, one source of truth
Shree Rana Furniture
Quoting moved off WhatsApp and paper into a tracked, versioned workflow.
Quotes issued same day, fully auditable
Fincalculator
Calculation-heavy consumer tool built for accuracy, speed and mobile traffic.
Sub-second results on low-end devices
Four capabilities. One engineering culture.
Every engagement draws from the same discipline: software built to run in production.
See how we work →From AI experiment to production software.
AI applications and agents, RAG systems, intelligent document processing, LLM integration into systems you already run.
Systems built to be maintained, not demoed.
Web and enterprise applications, SaaS products, mobile apps, backend platforms and API ecosystems.
Make the old system able to carry new work.
Legacy and application modernization, cloud migration, architecture rework, DevOps and platform engineering.
The layer that decides whether AI works at all.
Data platforms and pipelines, analytics and BI, predictive systems, AI-ready data architecture.
Before AI, there is infrastructure.
Most businesses aren't blocked by models. They're blocked by fragmented systems, unreachable data and workflows that only exist in someone's head. We fix that first, which is also why our AI work survives contact with production.
Four verbs. Everything else is marketing.
Understand
Documents, conversations, requirements and customer interactions turned into structured, queryable facts.
invoice PDF → line itemsReason
Surface opportunities, risks and anomalies a person would miss at volume.
margin drift → flaggedAct
Execute the business process, inside your systems, with permissions, retries and an audit record.
approved → posted to ERPAssist
Give employees and customers a straight answer, with the source attached so it can be checked.
question → answer + source
Six stages, and we stay past the fifth.
Fixed-scope projects get the same operating model as long-term partnerships, only the length changes.
Discover
Understand the business problem, the constraints and who actually uses this.
Shape
Define product, architecture and where AI is genuinely the right tool.
Build
Engineer it with modern tooling, reviewed code and a deployable trunk from week one.
Validate
Test the product, the system and, for AI, accuracy against a real fixture set.
Launch
Deploy into the real environment with monitoring and a rollback path.
Evolve
Measure, optimize, automate. Most of our clients are in this stage right now.
"Arrayscript understood a complex requirement and turned it into a production application, without us having to translate it twice."
Product thinking
We ask what the software needs to do next year, not just this sprint.
AI-native engineering
AI is part of the architecture from day one, not a bolt-on integration.
Ownership mindset
We build like we have to run it, because for our own products, we do.
Production discipline
Tests, evaluations and monitoring ship with the feature, not after it.
Long-term partnership
Most engagements start as a project and become an ongoing relationship.