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.

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 we've shipped for enterprise clients.

Banking & Financial Services 2024 – Present AI · Security · Bedrock
"We want AI — but our data can't leave the building."
Enterprise AI platform. Zero data egress. Compliance cleared in 6 weeks.
6wk
To compliance
98%
Confidence
0
Data egress
What we did
  • Designed a multi-layer RAG architecture on Bedrock — chunking strategy, embedding model selection, and hybrid search tuning optimized for financial document retrieval
  • Built a pre-processing pipeline detecting and masking 23 PII entity types via Comprehend before any text reaches a foundation model — redaction reversible for authorized workflows
  • Architected a zero-trust access model with per-team IAM roles, Bedrock guardrails, and full CloudTrail + CloudWatch audit trail meeting banking-grade compliance requirements
Outcome
  • First enterprise AI platform at a major Canadian bank to clear regulatory compliance — shipped in 6 weeks
  • 1,284 queries/day at 1.2s avg latency with 98.2% confidence scoring across financial documents
  • $0.003 per query — 61% cheaper than the GPT-4 equivalent they had already prototyped
Stack
AWS BedrockClaude ComprehendOpenSearch Step FunctionsGlue
Aerospace OEM 2023 – Present Cloud + Data + BI
"Terabytes of engine telemetry. No scalable way to process or report on any of it."
Real-time telemetry platform. Legacy MSSQL replaced. BI serving internal and external customers.
80%
Faster processing
3x
Data volume
99%
Uptime
What we did
  • Replaced a brittle MSSQL monolith with a cloud-native lakehouse — S3 as source of truth, Glue/PySpark for transformation, Redshift for analytics, all orchestrated via Step Functions
  • Built event-driven IoT ingestion pipelines processing aircraft engine telemetry in real-time via Kinesis + Lambda, with batch reconciliation for backfill and historical replay
  • Containerized all microservices on ECS/EKS with full CI/CD standardized across AWS and Azure DevOps hybrid environments
Outcome
  • 80% reduction in processing time — platform now handles 3x the telemetry volume the legacy system could not
  • Power BI dashboards serving internal engineering teams and external airline customers from a single Redshift layer
  • Zero production incidents since launch — 99%+ pipeline uptime across all workloads
Stack
ECS / EKSRedshift KinesisLambda Glue / PySparkPower BI ELK Stack
Data Management SaaS 2021 – 2023 DevOps · Platform Build
"We're expanding into North America and have no cloud operation to support it."
Built the entire cloud operation from scratch. 8 major projects shipped in 6 months.
50%
Faster deploys
$120k
Annual savings
99.99%
Uptime
What we did
  • Stood up the entire North American DevOps function from zero — team structure, toolchain selection, delivery standards, and onboarding playbooks
  • Designed and operated 25+ multi-tenant EKS clusters across Fortune 500 environments, each with isolated namespaces, RBAC, and custom resource quotas
  • Replaced manual release processes with ArgoCD-based GitOps — declarative, auditable, fully automated from PR merge to production across all client environments
Outcome
  • 50% reduction in deployment time across all client environments within 3 months of taking over
  • $120k annual infrastructure savings through right-sizing, spot instance automation, and waste elimination
  • 8 major projects shipped in 6 months while maintaining 99.99% uptime across the entire client fleet
Stack
EKSArgoCD TerraformAWS + Azure DockerDataDog Ansible
Multi-Industry 2014 – 2020 Full-Stack Infrastructure
"We need cloud infrastructure but have no internal team to build it."
Built it. Handed it over. Left them with something they could actually operate.
12+
Clients served
6
Years active
100%
Repeat / referral
What we did
  • Designed and built end-to-end Big Data platforms from scratch — S3 data lakes, Glue ETL pipelines, Redshift warehouses, and QuickSight BI layers for analytics-heavy clients
  • Automated release pipelines with Jenkins + Docker where none existed — enforced environment parity, eliminated manual deployments, cut release errors significantly
  • Ran parallel infrastructure across AWS, GCP, and VMware — different stacks, same delivery standards across every engagement
Outcome
  • Clients went from zero cloud capability to fully operational platforms they could run independently
  • 100% of clients returned for follow-on work or referred another engagement — every single one
  • Established the delivery playbook and standards that carried through every project that followed
Stack
S3 / GlueRedshift AthenaQuickSight GCPJenkins Docker
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.