AI agents and automation first, everything else to support them
We lead with AI agent development and AI automation, backed by the web, cloud and data engineering that make AI work in production. One plan, one team and one point of accountability.
AI Agent Development
Custom AI agents that understand your business, use your tools and complete real work, safely and around the clock.
We design, build and operate AI agents that go beyond chat. Our agents reason over your data, call your APIs and internal systems, take actions with the right permissions, and hand off to people when confidence is low. Every agent ships with evaluation suites, guardrails, audit logs and monitoring, so you can trust it in production.
- AI agents
- Tool calling
- MCP
- RAG
- Human-in-the-loop
- Evals
What you get
- Agent strategy workshop and use-case prioritization by business value
- Customer support, sales, operations and internal knowledge agents
- Tool calling and system integrations via APIs and Model Context Protocol (MCP)
- Retrieval-augmented generation (RAG) over your documents and data with vector search
- Multi-agent orchestration with human-in-the-loop approvals
- Evaluation, guardrails, observability and cost controls for production agents
- Private deployments on Amazon Bedrock, Anthropic Claude, OpenAI or open-source models
AI Automation
Automate repetitive, document-heavy and multi-step workflows with AI, and give your team hours back every week.
We find the processes that slow your team down and rebuild them with AI at the core. Intake, triage, data entry, document processing, reporting and follow-ups become automated workflows that connect your CRM, email, ERP and databases, with people approving the steps that matter.
- Document AI
- Workflow automation
- Triage
- Integrations
What you get
- Process discovery and automation ROI assessment
- Document intelligence: extract, classify and validate data from PDFs, forms, invoices and email
- AI-powered triage and routing for tickets, leads and requests
- Workflow automation across CRM, ERP, email and internal tools
- Automated reporting, summaries and follow-ups
- Monitoring, exception handling and continuous improvement
Web Apps and Websites
AI-powered web applications, SaaS platforms and high-performance websites, designed and built by senior engineers.
From marketing websites and customer portals to full SaaS platforms and modernizing a ten-year-old monolith, our teams design and build software that is fast, accessible, secure and maintainable. We work in TypeScript, Go, Python, PHP and Java, and we favour boring, proven architecture over trends.
- Next.js
- React
- Headless CMS
- APIs
What you get
- Product discovery, UX and UI design, technical architecture and roadmap
- Marketing websites with headless CMS, built for speed and SEO
- Web applications in React, Next.js and Vue
- REST APIs, webhooks, OAuth integrations and background job systems
- Microservices and micro-frontend architectures
- Legacy modernization from monoliths to modular services
AWS Cloud Migration
Move workloads from on-premises data centres or other clouds to AWS with a plan, a rollback path and no surprises.
We assess your current estate, map every dependency and move applications to AWS using the right pattern for each workload: rehost, replatform or refactor. Landing zones, networking and security are built first, so every migrated service lands in a well-architected account structure.
- Landing zones
- Rehost / Replatform / Refactor
- EC2 · ECS · EKS · Lambda
- Cost optimization
What you get
- Migration readiness assessment and total cost of ownership model
- AWS landing zone with multi-account structure, VPCs, subnets and NAT gateways
- Wave-based migration plan with cutover runbooks and rollback steps
- Rehost, replatform and refactor execution on EC2, ECS, EKS and Lambda
- Post-migration cost optimization and right-sizing
AWS Data Migration
Migrate databases, warehouses and file stores to AWS with validated, low-downtime cutovers.
Data is the hardest part of any migration. We move relational databases, document stores, search indexes and object storage into AWS using AWS DMS, Schema Conversion Tool, DataSync and custom pipelines, with row-level validation and change data capture to keep downtime to minutes rather than days.
- AWS DMS
- Change data capture
- Aurora · RDS · Redshift
What you get
- Source discovery, schema analysis and data-quality profiling
- Homogeneous and heterogeneous migrations to Amazon RDS, Aurora and Redshift
- Change data capture for near-zero-downtime cutovers
- Object storage moves to Amazon S3 and Amazon EFS with integrity checks
- Reconciliation reports that prove every record arrived intact
DevOps and Platform Engineering
Infrastructure as code, CI/CD and observability that let your team ship daily with confidence.
We build the platform your developers deserve: containerized workloads, automated pipelines, infrastructure as code and full-stack observability. Releases become routine, incidents become rare, and on-call becomes quiet.
- Terraform
- Kubernetes
- CI/CD
What you get
- Docker and Kubernetes container platforms
- Infrastructure as code with Terraform and AWS CloudFormation
- CI/CD pipelines with automated testing and progressive delivery
- Logging, metrics, tracing and alerting
- Web tier tuning with Nginx, Caddy, Apache and CloudFront
Managed Cloud and Security
Ongoing operations, cost control and security hardening for AWS and Google Cloud environments.
After go-live we stay accountable. Our managed cloud team monitors, patches, backs up and optimizes your environment, and our security engineers continuously review identity, network and data controls against recognized frameworks.
- 24/7 monitoring
- SOC 2 readiness
- PIPEDA
- Disaster recovery
- Cost reviews
What you get
- 24/7 monitoring, incident response and backup management
- Monthly cost reviews with savings recommendations
- IAM, network segmentation and encryption hardening
- Readiness support for SOC 2, ISO 27001 and PIPEDA obligations
- Disaster recovery planning and regular recovery testing
Migration methodology
How we migrate to AWS
- 01
Assess
Inventory applications, data and dependencies. Build the business case and total cost of ownership model.
- 02
Plan
Choose a migration pattern per workload, design the AWS landing zone and sequence the work into waves.
- 03
Migrate
Execute each wave with automated tooling, change data capture and tested cutover and rollback runbooks.
- 04
Validate
Reconcile data, run performance and security tests, and confirm every service meets its targets.
- 05
Optimize
Right-size resources, adopt managed services and set up ongoing cost and performance reviews.
Engagement models
Flexible ways to work together
- 01
Assessment
A 2 to 4 week fixed-fee engagement that produces a roadmap, architecture and estimate you can act on.
- 02
Project delivery
A fixed-scope build or migration with clear milestones, acceptance criteria and a dedicated team.
- 03
Dedicated team
A long-term, cross-functional squad that works inside your roadmap as an extension of your engineering group.
- 04
Managed services
Ongoing operations, support and optimization under a monthly agreement with defined service levels.
Want to see the tools behind the work? Visit our technology page.
FAQ
Questions about our services
How long does it take to build an AI agent?
A focused AI agent or automation usually reaches a working prototype on your real data in 2 to 4 weeks and production in 6 to 12 weeks, depending on the number of systems it connects to and the approvals it needs.
How long does an AWS migration take?
A focused migration of a few applications typically takes 6 to 12 weeks. Larger estates are migrated in waves over 3 to 9 months. We give you a firm plan after a 2 to 3 week assessment.
How much downtime should we expect during a data migration?
With change data capture through AWS DMS or custom replication, most production cutovers need only minutes of downtime. We rehearse every cutover before the real one.
How do you keep our data private when building AI solutions?
We deploy models in your own cloud account where possible, use providers that do not train on your data, encrypt data in transit and at rest, and apply role-based access controls to retrieval so users only see what they are allowed to see.
What engagement models do you offer?
We offer fixed-scope projects, dedicated teams that extend your engineering organization, and managed services with monthly retainers. Most clients start with a short paid assessment.
Do you work with companies outside Ontario?
Yes. We serve clients across Canada and the United States. Our team works in Eastern Time with overlap for Pacific Time clients.
Ready to build what's next?
Book a free 30-minute consultation with a senior architect. We will review your goals and tell you honestly how we can help.