ST
STRIDE.AI Guided demo
Demo narrative
STRIDE.AI walkthrough

Show the decision flow, not just a dashboard.

The demo should tell one institutional story clearly: a biomedical program enters the platform, receives structured readiness analysis, and becomes governable after funding instead of disappearing into manual review drift.

Demo output
TRI score
68
moderate readiness
Governance gaps
3
IP, regulatory, board packet
Milestone drift
12d
avg delay vs plan
Committee output
Go / hold
with mitigation path
Demo sequence

Use this as the narrative spine for live demos.

This mirrors the pitch deck directly and keeps the product story grounded in evaluation, governance, and capital allocation.

Step 1

Submission intake

A grant, internal translational proposal, or investor diligence target enters STRIDE.AI with its current evidence set.

Step 2

AI analysis

Clinical, regulatory, IP, technical, and commercial signals are assessed on a common translational frame.

Step 3

TRI + risk profile

The platform produces a translational readiness score, domain breakdown, and governance gap map.

Step 4

Decision support

Committee-ready output clarifies whether to fund, hold, accelerate, or request mitigation work.

Step 5

Live monitoring

Funded programs remain visible through milestones, evidence completeness, and portfolio-level risk dashboards.

Operator view

Institutional review committee

Use the demo to show how a committee receives decision support without depending entirely on subjective panel memory.

  • TRI score with domain breakdown
  • Risk heatmap with mitigation guidance
  • Missing evidence artifacts
  • Go / hold / accelerate recommendation
Post-award view

Portfolio governance after approval

The second half of the demo proves STRIDE.AI is not just an intake tool. It becomes the governance layer after allocation.

  • Budget-to-milestone tracking
  • Stage-gate progression
  • Institutional risk visibility
  • Acceleration-ready candidate identification
Demo route for evaluation, TRI, decision support, and post-award governance.