GenAI • Agentic Workflows • Cloud Native

Modern AI Solutions for Real Teams

Copilots, agents and platforms that plug into your stack – not the other way around.

Araya Galaxy helps organisations design, build and run practical AI systems: GenAI copilots, agentic workflows and cloud-native platforms that automate knowledge work, decisions and operations end to end – safely, securely and with measurable impact.

AWS, GCP & Azure native
LLMs, RAG & agents
From prototype to production
Example solution blueprints
GenAI copilots

Task-focused assistants embedded into tools like email, CRM, ticketing and internal portals.

Agentic workflows

Multi-step agents that read, decide and act across APIs, queues and systems – with human approval loops.

Knowledge search & RAG

Secure retrieval over documents, wikis and logs so teams get grounded answers, not hallucinations.

AI foundations on cloud

Landing zones, data pipelines and observability for AI workloads across AWS, GCP and Azure.

What We Build With You

We focus on applied AI – designing systems that sit on top of your data, tools and cloud, and deliver outcomes your teams can trust.

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GenAI Copilots & Assistants

Conversation-first interfaces embedded in email, chat, CRM, ticketing and internal portals to help teams draft, summarise, triage and respond faster.

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Agentic Workflows

Goal-driven agents that chain tools, APIs and actions together – reading context, making decisions and executing repeatable flows with human-in-the-loop control.

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Enterprise RAG & Knowledge Search

Retrieval-augmented generation over your documents, wikis, SOPs and logs, combining vector search, access controls and guardrails to keep answers grounded.

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Cloud-Native AI Platforms

Opinionated blueprints and reference architectures for running GenAI and agent workloads on AWS, GCP and Azure – secure, observable and scalable.

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Safety, Governance & Guardrails

Policy-aware orchestration, PII redaction, content filters and audit trails aligned to your risk, compliance and regulatory requirements.

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Measurement & Continuous Improvement

Telemetry, evaluation and feedback loops so you can measure adoption, quality and impact – and iterate quickly on prompts, flows and models.

Outcomes We Aim For

AI is only useful if it moves real metrics. We design engagements to be small, pragmatic and measurable.

🚀 Faster workflows

Reduce manual effort in content-heavy and repetitive tasks so teams can focus on the work that actually needs humans.

🤖 Practical automation

Use agents where they make sense: handling triage, routing and routine actions while keeping humans in control.

🔍 Better decisions

Give people grounded, context-aware answers by connecting AI to the documents, data and tools they already rely on.

🧩 Cloud-native foundations

Build on your existing AWS, GCP or Azure estate with patterns that your cloud, security and architecture teams recognise.

Ready to Explore a GenAI or Agentic Use Case?

Whether you’re experimenting with a first pilot or looking to scale an existing initiative, we can help you map opportunities, design an architecture and land something real in a matter of weeks – not years.

Start a conversation Request a quick walkthrough