AI & Data Solutions
AI integration services that answer from your data
For teams that need reliable answers from their documents, support records or business information.
Discuss your projectCalgary and Lahore. Working with teams across Canada and the US.
Built around the work you need to do.
Most useful AI work is retrieval, not training. We connect a language model to your actual documents, tickets and records so answers cite a source you can open and check. That means an evaluation set before launch, so you can measure whether it is right rather than assume it. Where a task is better served by classical methods than an LLM, we say so, because it is usually cheaper and more accurate.
Typical projects
- Internal knowledge assistants with source citations
- Search across policies, documents and support records
- AI features integrated into an existing application
What you receive
Your written scope identifies the deliverables, dependencies, timeline and acceptance criteria before the build begins.
- Document ingestion and vector search pipeline
- Grounded question-answering with source citations
- Evaluation set and accuracy benchmarks
- Cost and latency budget per query
Tools we work with: OpenAI, Anthropic, Pinecone, LangChain, Python, pgvector. We select the stack after reviewing the requirements.
Related team work
AI Automation Solutions
AI chatbots, connected business tools, and automated workflows for lead management, customer support, and content creation.
Explore the projectFrom scope to handover
Step 1
Understand
Review the problem, users, existing systems and constraints.
Step 2
Agree the scope
Put deliverables, costs and success criteria in writing.
Step 3
Build and verify
Share working increments and test the agreed user journeys.
Step 4
Launch and hand over
Deliver the code, documentation and agreed support plan.
Before we start
How is this different from AI automation?
AI and data work helps people find and understand information. AI automation uses classification, extraction or drafting inside a repeatable business process.
How do you check the answers?
We agree an evaluation set, check retrieval and answer quality, and show source citations where the task supports them. The scope includes how errors and uncertain answers are handled.
Tell us what you want to improve.
Bring a problem, an existing system or an idea. We will help define a practical next step and a written scope.