Custom digital solutions

Diraya Inc is a software consultancy providing custom digital solutions, helping businesses build scalable, secure, and high-performance applications.

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Scalable, secure, and high-performance applications

Diraya Inc is a software consultancy providing custom digital solutions, helping businesses build scalable, secure, and high-performance applications.

01 / Hermes

Agentic systems, productized.

Setup in days, not months. We design, deploy, and operate Hermes-based agent systems for teams who want the power of agentic workflows without a multi-month custom build.

Research & synthesis

Agents that gather, read, and summarize

Agents that gather, read, and summarize across sources, with citations back to the underlying material.

  • Citations back to underlying material
  • Data gathering across sources
  • Automated research synthesis
Explore Research & synthesis
Operational workflows

Multi-step processes across internal systems

Triage, routing, and action with humans in the loop where it matters.

  • Multi-step orchestration
  • Triage and routing
  • Human-in-the-loop action
Explore Operational workflows
1import { Platform } from '@diraya/core';
2const system = new Platform({
3 environment: 'production',
4 scalable: true,
5});
6system.deploy();
Customer-facing copilots

Constrained agents over your product

Constrained agents over your product or knowledge base, with guardrails and refusal logic built in.

  • Knowledge base grounding
  • Built-in refusal logic
  • Safety guardrails
Explore Customer-facing copilots

02 / Services

AI engineering, end-to-end.

SCOPE · BUILD · SHIP · MAINTAIN. From first prompt to last mile.

01
FLAGSHIP

Agentic systems

Hermes · LangGraph · MCP

Multi-step agents with tool use, memory, and reliable control flow.

Learn more
02
CORE

LLM product engineering

Next.js · tRPC · Postgres

Full-stack AI applications where the LLM is the feature, not a footnote.

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03
CORE

Retrieval & RAG

pgvector · Qdrant · Cohere

Retrieval pipelines that actually retrieve the right thing. Citations and grounding built in.

Learn more
04
RIGOR

Evals & observability

Braintrust · LangSmith

Golden sets, LLM-as-judge, tracing, and dashboards your PM can actually read.

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05
MODERNIZE

Legacy modernization

TypeScript · Rust · K8s

Strangler-fig migrations with tests and receipts. No rewrite moonshots.

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06
FOUNDATION

Platform & infra

AWS · GCP · Terraform

The unglamorous backbone. CI/CD, IaC, cost guardrails, on-call runbooks.

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03 / PROCESS•TYPICAL ENGAGEMENT: 8 TO 16 WEEKS

Small team, tight loops,
visible progress.

01

Scope

(Week 1)

The problem, the risks, the shortest path to signal. You get a written plan and a fixed-scope option.

02

Spike

(Week 2)

Working prototype. Not a mock. The riskiest assumption meets reality early.

03

Build

(Weeks 3 to 12)

Biweekly demos. Evals and observability ship alongside features, not after.

04

Handoff

(Final sprint)

Production launch plus knowledge transfer. Your team inherits clean code, docs, and our number for the hard stuff.

04 / Selected Work

Shipped, measured, still in production.

CASE 01 · B2B SAAS · STRUCTURED RAG AND CHAT

A customer-facing chatbot grounded in structured company data.

A SaaS platform whose clients needed self-serve answers about their fleets, usage, and account state without filing a ticket. TimescaleDB as the source of truth for time-series and operational data, with retrieval orchestrated through structured query generation rather than vector-first search, because the questions were about numbers and state, not prose. The LLM narrates around values it never invents.

Stack: TimescaleDB · structured retrieval · LLM tool calling · streaming UI
CASE 02 · CONFIDENTIAL CLIENT · UNSTRUCTURED RAG

A retrieval system over unstructured user-generated content.

Online posts and contributions from users, ingested directly into Qdrant. We built the ingestion pipeline, chunking strategy, retrieval, and the eval harness that proved it actually worked on real user queries. Citation enforcement so every answer points back to source. Refusal logic so the system says I don’t know when retrieval doesn’t ground the question.

Stack: Qdrant · vector retrieval · evals as a first-class deliverable
CASE 03 · CONFIDENTIAL CLIENT · HERMES MULTI-AGENT

A Hermes deployment for a multi-step operational workflow.

Coordinated agents handling research, synthesis, and action across multiple tools, without the months of custom engineering a bespoke build would have taken. Configured, deployed, and operated on our managed setup. The client gets the dashboard. We keep the agents healthy as models and tools evolve.

Stack: Hermes · multi-agent orchestration · tool calling · usage dashboard

Global talent supporting your growth

With 15+ global talent hubs, your time zone and budget are covered

  • 🇨🇦Canada
  • 🇺🇸USA
  • 🇲🇽Mexico
  • 🇬🇹Guatemala
  • 🇨🇴Colombia
  • 🇧🇷Brazil
  • 🇦🇷Argentina
World map showing global talent hub locations
🇨🇦Canada

UTC-6 · 12:47

🇺🇸USA

UTC-6 · 12:47

🇲🇽Mexico

UTC-6 · 12:47

🇬🇹Guatemala

UTC-6 · 12:47

🇨🇴Colombia

UTC-5 · 13:47

🇧🇷Brazil

UTC-3 · 15:47

🇦🇷Argentina

UTC-3 · 15:47

15+

Global talent hubs

24/7

Time zone coverage

50+

Engineers worldwide

3

Continents covered

CTA

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FAQ

Frequently Asked Questions

Everything you need to know about our services, process, and how we work with clients.

Diraya Inc offers custom software development, application architecture review, technical consulting, and startup/product support. We help businesses design, build, and scale digital solutions.

Client Reviews

What our clients say

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Contact

Contact Diraya Inc

Have a project in mind or need technical expertise? Tell us about your requirements and we will get back to you shortly.

Emailcontact@diraya.ca
Phone
Business HoursSunday to Thursday
Response TimeWithin 24 hours

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