Capabilities
Six practices. One standard: production.
We cover the full lifecycle of an AI system, from the first strategic question to the governance that keeps it defensible years later. Engagements can enter at any stage.
01 / 06
AI Strategy & Readiness
From ambition to an executable roadmap.
We assess where AI creates real value in your organization, and where it doesn't. You get a prioritized roadmap grounded in your data, your constraints, and a defensible business case.
AI readiness & maturity assessment
Use-case discovery & prioritization
ROI and feasibility analysis
Executive AI roadmap
02 / 06
Applied AI Implementation
Chatbots, copilots, and automation that reach production.
We design and build customer-facing and internal AI systems: support chatbots, retrieval-augmented knowledge assistants, and workflow automation, all engineered for accuracy, escalation, and measurable service outcomes.
Customer-support & service chatbots
RAG knowledge assistants
Workflow & document automation
CRM / helpdesk integration
03 / 06
Model Deployment & MLOps
Models running reliably in your environment.
We take models from notebook to production: secure deployment in cloud, private VPC, or on-premises environments, with monitoring, evaluation, and cost control built in from day one.
Production model deployment
Private / on-prem LLM hosting
Monitoring, evals & drift detection
Inference cost optimization
04 / 06
Frontier Model Operations
Human-data and evaluation programs for AI labs.
Our founder leads Human Data at xAI, measuring frontier-model capabilities. Through partners such as G2i, he has also delivered hands-on training-data and evaluation work across the frontier-AI ecosystem: code evaluation, RLHF-style feedback programs, rubric design, and benchmark execution.
Model evaluation & benchmarking
SFT / RLHF data programs
Eval rubric & task design
Red-team & quality review
05 / 06
AI Governance & Responsible AI
AI you can defend to boards, auditors, and the public.
We help organizations adopt AI responsibly: bias and impact assessment, human-in-the-loop design, and alignment with the Government of Canada's Directive on Automated Decision-Making and emerging standards like ISO/IEC 42001.
Algorithmic Impact Assessment support
Responsible-AI policy & guardrails
Human-oversight & escalation design
Model documentation & audit trails
06 / 06
Training & Enablement
Teams that can run AI after we leave.
Executive briefings, practitioner workshops, and hands-on enablement so your people can operate, evaluate, and extend the systems we build, with the judgment to know when not to use AI.
Executive AI briefings
Practitioner workshops
Prompt & tooling playbooks
Operating-model design
Government of Canada Alignment
Mapped to the three official AI areas of work.
The Government of Canada's AI Source List evaluates suppliers against three defined AI categories. Our practices cover all three, and we describe our work in the same language your evaluators use.
Category 01
Insights & Predictive Modelling
Maximizing the value of data by using machine learning and natural language processing to predict outcomes and understand patterns: preparing data, building and training models, putting them into production, and monitoring them.
Our practices
- AI Strategy & Readiness
- Model Deployment & MLOps
- Frontier Model Operations
Category 02
Machine Interactions
Facilitating information sharing and citizen–organization interactions through chatbots, semantic analysis, natural language processing, and speech recognition.
Our practices
- Applied AI Implementation
- Training & Enablement
Category 03
Cognitive Automation
Automating information-intensive tasks and supporting efficient business processes: decision support, document processing, robotic process automation, and automated content generation.
Our practices
- Applied AI Implementation
- AI Governance & Responsible AI
Not sure where to start?
Most clients don't arrive with a scoped project.
They arrive with a pressure: a backlog, a mandate, a competitor moving faster. Bring us the pressure. A discovery sprint turns it into a scoped, costed plan.