Start with a free AI Fit Review. If the opportunity is real, we build a focused working proof so your team can see the system before committing to production. Full builds are priced around agreed delivery milestones.
A short review to understand the workflow, available data, risks, and whether AI belongs in the process at all.
For qualified opportunities, we build a focused proof with a real interface and AI behavior so your team can see the workflow before the full build.
Once the POC and feedback define the right system, we scope production around agreed outcomes, delivery milestones, and acceptance criteria.
Ready to prove the next useful workflow?
Best when the team has a workflow problem but still needs to decide whether AI, automation, better data flow, or no build is the right answer.
Best when the buyer needs to see the workflow in a real interface with AI behavior before committing to a production system.
Best when the POC and feedback are clear enough to define delivery milestones, acceptance criteria, integrations, deployment, and handoff.
For a Canadian organisation comparing custom development with a packaged tool, bring the workflow and the source systems a reviewer must inspect. Separate required capabilities from the parts a ready-made product already handles.
Quellix delivers from India and serves Canadian buyers remotely, including Toronto. Discuss permitted data access, the proposed hosting arrangement and reviewer availability in the project scope; Canadian data residency is not an automatic feature of remote delivery.
Yes. Start by describing the workflow and constraints. Agree which representative or redacted samples are appropriate before transferring records, and settle access and deployment requirements before implementation.