One evidence trail
Keep the question, source snapshot, calculation, explanation, artifact, and eventual action receipt connected.
ODIWC is an independent, early-stage startup being built in Canada. We’re developing a permission-aware AI workspace for creators and small teams, starting with a sourced weekly review and a draft plan.
Creative businesses coordinate performance data, production files, schedules, and client obligations across disconnected tools. ODIWC’s proposed product connects selected context to an inspectable answer, a reusable artifact, and an owner-approved next step.
The first intended workflow combines authorized YouTube analytics, uploaded business data, and workspace documents. Broader agency and business workflows are an expansion hypothesis to validate, not a claim of universal connectivity.
We’re preparing for customer discovery and a connected alpha. The website and sample prototype make the direction reviewable while the product is developed.
Keep the question, source snapshot, calculation, explanation, artifact, and eventual action receipt connected.
Make a recurring review understandable and actionable. Test time to a useful result against the creator’s existing workflow.
Make source scope, model destination, cost, proposed changes, and approval requirements explicit.
Validate the creator workflow first, then test whether the same permissions, files, and evidence model supports agency and business jobs.
These are hypotheses. We have not established a defensible advantage, market share, customer traction, or measured productivity gains.
The foundation is real development work; the connected AI experience remains ahead of us.
Read the full development roadmapA sample creator prototype, authenticated workspace access, private file handling, membership controls, shared rate limits, and editorial tools. Cloud foundation tests ran through a local production app; hosted release verification remains pending.
Configured read-only sources, reproducible calculations, sourced retrieval, evaluated live AI, and an editable useful output. No active platform integrations or live public AI are claimed.
Creator and agency discovery, task-based usability testing, willingness-to-pay research, and measured serving costs. Pricing, launch timing, and fundraising terms are not set.
Claude is a planned server-side generative provider for explaining selected evidence and drafting briefs or plans. Deterministic application logic will handle permissions and numerical calculations. Consequential external actions will require separate tested approval and execution controls.
Startup-program support would help us evaluate that workflow and its quality, latency, and cost. ODIWC has not been accepted into an Anthropic program, and no partnership, endorsement, or free-service entitlement is claimed.
We welcome product feedback, investor conversations, and relevant startup-program introductions.
Contact the founderExplore the product vision