Ecosystem
TopoLift is being evaluated hands-on with design partners across healthcare, long-term care, insurance, and finance: real domains, real experts, real decisions.
Active evaluations
These are active evaluations with design partners, not press releases. Each one is a live decision domain where getting the answer right actually matters.
Improving reasoning for stroke interventions at clinics, evaluated hands-on by physiotherapists over three months.
Alternative Level of Care (ALC) decision intelligence for home and long-term care planning.
Coordinating machine-learning workflows with verified, hallucination-free reasoning.
Complex scenario analysis and evidence-ranked decisions for underwriting and investment.
"This tool was saving each therapist an average of 12 minutes per patient."Lead physiotherapist at an active evaluation site
Accelerator
TopoLift is a member of the L-Spark cohort helping Canadian startups build sovereign AI: AI that keeps data inside the country while delivering trusted, enterprise-grade reasoning.
Where it applies
TopoLift is designed for the data organizations already use to make decisions, not generic internet text. The same verified-reasoning layer adapts to each domain.
Assessments, interventions, risk flags, outcomes, and care decisions, connected and grounded.
Company signals, diligence notes, risks, decisions, and outcomes, ranked by real evidence.
Tickets, handoffs, exceptions, and resolution paths, grounded in what worked before.
Policies, approvals, incidents, audit findings, and remediation history, with provenance attached.
Usage, support patterns, retention signals, and the actions actually taken.
Prior work, instructions, tradeoffs, constraints, and lessons learned: reusable, not lost.
Whether it's clinical pathways, underwriting, operations, or care planning, see how your data becomes verified, grounded, decision-grade reasoning.