Software & AI engineering studio
We design and engineer custom platforms, AI systems, and mobile products for companies whose problems don’t fit off-the-shelf software — and we stay on past launch to keep them working.
Built with modern, production-grade technology
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Years in operation
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Products shipped
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We design and ship AI systems that sit inside real workflows — reasoning over your data, automating decisions, and giving teams leverage they didn't have before.
What we build
We design and ship AI systems that sit inside real workflows — reasoning over your data, automating decisions, and giving teams leverage they didn't have before.
What we build
The categories of software we're asked to build most often — each one backed by the full engineering practice, not a specialized silo.
Products built around agents, retrieval, and reasoning — designed to run as dependable infrastructure, not a demo.
Multi-tenant platforms engineered for the billing, permissions, and scale a real product needs.
Internal platforms that hold up under real organizational complexity and compliance requirements.
Native-quality iOS, Android, and cross-platform apps built for speed and real-world usage.
Self-service experiences that reduce support load while giving customers what they came for.
Workflow and process automation that replaces manual, repetitive work with reliable systems.
Pipelines and warehouses that turn scattered data into something the business can act on.
Storefronts and the commerce infrastructure behind them — checkout, inventory, fulfillment.
03 / How we think
01
The business, the users, the constraints — before anything gets designed.
02
We challenge the brief. The stated problem is rarely the whole problem.
03
The experience, the interface, and the architecture — shaped together.
04
Working software early, so decisions are tested against reality, not slides.
05
Scalable, secure, maintainable systems — not just functional at launch.
06
Real usage, real performance, real outcomes — instrumented from day one.
07
The product grows as the business grows — without a rewrite.
We engineer AI systems that sit inside real workflows — enterprise-ready, observable, and accountable.
How an AI system actually runs — not a chatbot bolted onto a homepage
AI Agent: Reasons about the request and plans the steps to complete it.
User
A person, or another system, with a job to be done.
AI Agent
Reasons about the request and plans the steps to complete it.
Tools
APIs, search, and internal services the agent can call.
Data
Your databases and documents — retrieved, not hallucinated.
Business System
The ERP, CRM, or platform where the work actually lands.
Result
A completed task, a decision, an answer — with an audit trail.
Enterprise / AI
01 / 03
A scalable intelligent platform concept designed to automate complex, multi-step business workflows using orchestrated AI agents.
View Case StudyIllustrative concept — pending real project data
FinTech
02 / 03
A consolidated operations dashboard concept bringing payments, risk signals, and compliance reporting into a single real-time view.
View Case StudyIllustrative concept — pending real project data
Logistics
03 / 03
A real-time fleet visibility and routing concept built to help dispatch teams react to disruptions as they happen.
View Case StudyIllustrative concept — pending real project data
Ongoing R&D across the technologies reshaping how software gets built — before they show up in client work.
LAB-01
In prototype
Multi-step agents that plan, call tools, and complete real work with an audit trail.
LAB-02
Active exploration
Document intelligence and visual inspection pipelines for operational workflows.
LAB-03
Active exploration
Speech-native interfaces for support, intake, and hands-busy environments.
LAB-04
In prototype
UIs that assemble themselves around the user's task instead of fixed screens.
LAB-05
Active exploration
Forecasting and anomaly detection wired into the systems where decisions happen.
LAB-06
In prototype
Replacing brittle manual processes with observable, recoverable automation.
One engineering practice, six connected disciplines — assembled around whatever the product actually needs.
AI
FinTech
Secure, compliant platforms for payments, lending, and financial infrastructure — built to handle regulatory scrutiny from day one.
09 / About DigiRay
DigiRay exists to solve hard engineering problems for businesses that need software to actually work — reliably, at scale, and for the long run.
Learn about DigiRay“This space is reserved for a real client testimonial. Swap in a direct quote about the outcome that mattered most to them.”
Client Name
Title, Company
Let’s talk
Let’s figure it out — and engineer the solution.