Services Our Work AI Solutions Work with us
Cloud · DevOps · AI Engineering

We build the
infrastructure
great products
run on.

Complex infrastructure. Tight compliance. High stakes. We've delivered production-grade cloud and AI systems for clients where failure isn't an option.

Explore AI Services → See Our Work
ai-agent.sh LIVE
❯ bedrock-agent deploy \ --model anthropic.claude \ --kb s3://client-docs-prod ✓ Knowledge base indexed 847 documents ✓ Vector embeddings ready OpenSearch Serverless ✓ Agent deployed 3 regions active ──────────────────────────────────── ❯ agent query \ "What was Q3 gross margin across all product lines?" ⟳ Searching 847 docs... → Q3 gross margin: 68.4% → Product A: 71.2% Product B: 63.8% → Source: Q3-2025-financials.pdf, p.14 → Confidence: 98.2% ──────────────────────────────────── ❯ agent status --verbose queries_today 1,284 ↑ 34% avg_latency 1.2s ✓ SLA met cost_per_query $0.003 ↓ 61% vs GPT-4 ❯
Industries Served
Aerospace & Defence· Banking & Financial Services· Fortune 500· Data Management· SaaS Platforms· Enterprise IT
What We Do

Four disciplines.
One team.

We go deep across cloud architecture, DevOps automation, data engineering, and AI — so you don't need four different vendors.

AI
01
AI Integration & LLM Systems
Production-grade AI systems on AWS — RAG pipelines, Bedrock agents, internal knowledge bases. Not prototypes. Systems your team actually uses every day.
AWS BedrockRAG PipelinesOpenSearchLLM OpsAI Agents
AWS
02
AWS Architecture & Migration
From greenfield multi-account org design to legacy migration, we architect AWS platforms that scale without surprises. Built to your workload, not a template.
Multi-Account OrgsCloud MigrationLambda / Step FunctionsECS / EKS
DevOps
03
DevOps & CI/CD Pipelines
End-to-end pipeline automation from code commit to multi-region production. Zero-downtime deployments with full observability baked in from day one.
CloudFormationTerraformCodePipelineArgoCDGitOps
Data
04
Big Data & Analytics
End-to-end data platforms on AWS — ETL pipelines, data warehouses, and BI that turns raw data into decisions. Redshift, Glue, PySpark, and Power BI in production.
RedshiftAWS Glue / PySparkS3 Data LakeAthenaPower BI
30+
Projects delivered across industries and continents
$10M+
Revenue generated for clients through cloud & AI
$120k
Annual infrastructure cost savings delivered per client
99.99%
Uptime achieved on enterprise platform builds
Selected Work

Projects that
moved the needle.

Real engagements, real outcomes. Here's what our team has shipped for enterprise clients.

Banking & Financial Services
2024 – Present
AI · Security · Bedrock
Enterprise AI Platform & Data Privacy Architecture
One of Canada's largest banks needed to move fast on AI without compromising on data privacy or regulatory compliance. We architected and deployed their internal AI platform on AWS Bedrock — LLM-powered agents, PII masking pipelines, and a secure knowledge base that kept sensitive data where it belonged. Zero data left the environment. Full audit trail. AI that actually cleared compliance.
  • Deployed AWS Bedrock with Anthropic Claude, custom guardrails, and model routing across business units
  • Built PII detection and masking pipelines via Amazon Comprehend before any data reached the model layer
  • RAG-based agents on internal documents with zero data egress and full encryption in transit and at rest
  • Designed security architecture to meet banking-grade compliance and regulatory requirements
  • Internal AI assistant deployed to hundreds of employees across multiple departments
// Stack
AWS BedrockAnthropic ClaudeLangChainAmazon ComprehendOpenSearch ServerlessStep FunctionsAWS Glue
Aerospace OEM
2023 – Present
Cloud + Data + BI
Aircraft Engine Telemetry Platform & Cloud-Native Data Architecture
A global aerospace OEM was drowning in aircraft engine telemetry with no scalable way to process or report on it. We designed and built their entire cloud data platform on AWS — serverless pipelines handling real-time IoT data, a modernized data warehouse replacing legacy MSSQL, and end-to-end BI reporting serving both internal teams and external customers.
  • Serverless pipelines processing engine telemetry in real-time and batch via Lambda and Step Functions
  • Migrated MSSQL enterprise data warehouse to AWS integrating Redshift, DynamoDB, and S3
  • Scalable ECS/EKS container platform supporting microservices and large-scale batch workloads
  • End-to-end BI solution via Power BI for internal and customer-facing reporting
  • Standardized CI/CD across cloud and hybrid environments using Azure DevOps and AWS native tooling
// Stack
ECS / EKSLambdaStep FunctionsGlue / PySparkRedshiftDynamoDBPower BICloudFormationELK StackGrafana
Data Management SaaS
2021 – 2023
DevOps · Platform
Cloud Operations Build-Out for North American Market Expansion
A fast-growing data management SaaS needed a cloud operation to capture the North American market. We built it. Team, architecture, automation frameworks, and delivery standards — from scratch. 99.99% uptime across Fortune 500 environments, deployment time cut by 50%, $120k annual savings. Eight major projects shipped in six months.
  • Built and led the entire DevOps engineering team — hiring, structure, and delivery standards
  • Designed self-service deployment solution reducing release time by 50% across all client environments
  • Architecture and operations for 25+ AWS EKS clusters across Fortune 500 client environments
  • ArgoCD-based GitOps continuous deployment eliminating manual release intervention entirely
  • Automation frameworks improving infrastructure efficiency by 25% — $120k annual cost savings
// Stack
EKSArgoCDTerraformAWS + AzureDockerGitOpsDataDogAnsible
Multi-Industry
2014 – 2020
Full-Stack Infrastructure
Big Data Platforms, Web Applications & Multi-Cloud Builds
Early clients across multiple industries needed cloud infrastructure but had no internal capability to build it. We came in, built it, and left them with something they could operate — Big Data platforms, ETL pipelines, CI/CD automation, and web application infrastructure across AWS and GCP.
  • Big Data infrastructure on AWS (S3, Glue, Redshift, Athena, QuickSight) for analytics clients
  • ETL process design and implementation for data-intensive BI platforms
  • CI/CD automation via Jenkins and Docker — reduced human error, faster release cycles
  • GCP infrastructure, .NET application servers, and VMware environment management in parallel
// Stack
S3 / GlueRedshiftAthenaQuickSightGCPJenkinsDockerAnsible
AI Solutions

AI that ships
to production.

We integrate LLMs and AI agents into real business workflows — built on the same AWS infrastructure we architect and operate every day.

High Demand
Internal AI Knowledge Base
Give your team an AI assistant trained on your own docs, code, policies, and data. Built on AWS Bedrock with OpenSearch Serverless — answers using your private information only, with IAM-scoped access control per team.
  • Custom document ingestion and chunking pipeline
  • Semantic search via OpenSearch Serverless
  • Slack or web UI with team-level permissions
  • Full audit trail and usage analytics
High ROI
Customer Support Automation
AI agents that handle Tier-1 support, route complex issues to humans, and learn from your support history. Clients typically see 60–80% ticket volume reduction within 90 days of deployment.
  • Bedrock Agents with full tool use and memory
  • CRM and ticketing system integration via API
  • Smart escalation logic and human handoff flows
  • Full conversation audit trail and reporting
Fast ROI
Document Processing Pipelines
Automate extraction, classification, and validation of invoices, contracts, and compliance documents. Structured output feeds directly into your existing systems — no manual data entry, no errors.
  • Textract + Bedrock end-to-end processing pipeline
  • Structured JSON output to any downstream system
  • Confidence scoring with human review queue
  • Handles PDFs, scanned images, and web forms
DevOps AI
AI-Powered Ops & Incident Response
AI that watches your infrastructure, summarizes alerts in plain English, and runs remediation playbooks automatically. Built on EventBridge + CloudWatch stacks we already operate for enterprise clients.
  • CloudWatch + EventBridge + Bedrock processing pipeline
  • Natural language incident summaries to Slack
  • Auto-remediation for known failure patterns
  • Runbook generation and on-call workload reduction
How We Work

From brief
to production.

01
Discovery
We map your existing stack, identify gaps, and define scope. You get a clear architecture plan and cost estimate within 48 hours — before any infrastructure is touched.
02
Architecture
Full architecture diagrams, IaC templates, and a phased delivery plan. Everything reviewed with your team before we provision a single resource.
03
Build & Deploy
Infrastructure as code, automated pipelines, observability, and security from day one. Reproducible, documented, and completely yours to own.
04
Handoff & Support
Full documentation, runbooks, and team training. Ongoing retainer available for continued builds, cost optimization, and incident support.
Get in Touch

Let's build
something real.

Email
What to expect

We respond to every inquiry within one business day. First call is a no-obligation 30-minute discovery session — we'll tell you honestly if we're the right fit, and point you in the right direction if not.

No spam. No sales calls without your permission.
✓ Message sent — we'll be in touch within one business day.