Claude-powered apps built for Canadian businesses

Different AI models have different strengths. Claude has carved out clear leadership in three categories that matter for production business applications. Long-context reasoning. Claude's 1M token context window with production-grade reliability means you can give it your full codebase, your entire contract library, hundreds of pages of customer history. Where GPT struggles past 200K tokens of complex content, Claude maintains accuracy. Agentic workflows. Anthropic's Agent SDK, MCP server protocol, and computer use feature are best-in-class for building agents that take real actions in real systems. Tool use is more reliable, less likely to hallucinate function names, better at multi-step planning. Coding work. Claude 4.7 leads on SWE-bench, real-world code editing benchmarks, and developer satisfaction surveys. For applications that generate, review, or modify code, Claude is the default choice. We pick Claude where these strengths matter. We use GPT-5, Gemini, or open-source models where they win. Not religion - engineering.

Document processing pipelines. Claude's long-context capability unlocks workflows that were impossible 18 months ago. Process 500-page contracts, extract clauses, flag risks. Read entire deposition transcripts and surface key facts. Review code repositories and generate audit reports. Multi-step business agents. Customer support, sales qualification, operations workflows built on the Anthropic Agent SDK. Tool use is more reliable, easier to debug, has better observability than equivalent OpenAI implementations. MCP server integrations. Anthropic's Model Context Protocol lets Claude integrate with any tool through standardized servers. We build custom MCP servers that expose your internal systems to Claude directly - your CRM, your inventory, your knowledge base. Code assistants. Internal developer tools that review pull requests, generate tests, write documentation. Claude's code quality makes it the right choice over GitHub Copilot for many internal workflows. Voice agents with Claude. Voice infrastructure from Vapi, Retell, or LiveKit + Claude as the brain. Voice agents that can actually reason about complex requests, not just route to canned responses.

Models: Claude 4.7 Opus (max reasoning), 4.6 Sonnet (balanced), 4.5 Haiku (high-volume cheap). We route between them based on task complexity to manage costs. Frameworks: Anthropic Agent SDK (1.x), Claude API directly, LangGraph for complex orchestration when needed. Tooling: MCP servers (custom + open-source), prompt caching, batch API, file uploads, citations, tool use. Observability: Helicone or LangSmith for trace inspection, Helicone for cost monitoring, custom OTel for production logging. Infrastructure: Vercel Functions, Modal, or self-hosted depending on data sovereignty needs. Canadian businesses with PIPEDA concerns often need on-prem or controlled-region deployment.

Week 1: Discovery + architecture. We map your workflow, pick the right model tier, design the prompt and tool layer. Week 2-3: Build. Claude API integration, tool development, MCP servers if needed. Week 4: Eval + tune. Custom eval suite, prompt iteration, cost optimization. Week 5+: Deploy + monitor. Production deployment with full observability, ongoing tuning.