Ideas catalog
Every idea we've derived from recent research — the ones marked “Prototype” come with a live demo you can try.
A niche academic tool with high theoretical validity but limited commercial scalability due to a very small, budget-constrained user base.
A clinically well-grounded AUD treatment concept with a specific RCT-validated protocol and real market need, but near-term commercial viability is severely constrained by federal Schedule I status and an immature regulatory framework.
Backed by 4 papers
A scientifically grounded supplement targeting a specific metabolic bottleneck for vegans, though it faces significant hurdles regarding the bioavailability and regulatory status of TML.
Backed by 2 papers
A highly specific hardware solution targeting a newly identified pollutant, though it faces significant adoption hurdles due to the slow procurement cycles of municipal infrastructure.
A technically sound but commoditized application of standard CV models that lacks a unique moat and faces significant procurement hurdles in the public sector.
A niche tool with a strong theoretical foundation but limited commercial scalability due to the dominance of English in global academia and the availability of general LLMs.
A high-risk, high-reward tool that attempts to turn eye-tracking into a compliance audit trail, though it faces significant hardware and psychological hurdles.
Backed by 5 papers
A niche clinical tool addressing a genuine gap in IMD transplant outcomes, though it faces significant hurdles in monetization and data acquisition.
A niche clinical decision-support tool that addresses a genuine gap in pediatric IMD care, though it risks being a low-moat 'checklist' rather than a scalable software product.
A practical tool to reduce EV range anxiety in the used market, though its value is limited by the availability of existing real-world telemetry data.
A niche but high-impact accessibility tool that targets a specific, underserved gap in the data science workflow, though it faces a challenging B2B sales motion.
A high-accuracy energy benchmarking tool for fleets that leverages proven ML models to identify efficiency gaps, though it faces significant hardware integration hurdles.
A logical application of GIS research that solves a real pain point, though it faces significant competition from incumbents who already possess the necessary data.
A pragmatic digitisation of a specific engineering workflow that reduces planning overhead for H2 infrastructure, though it lacks a deep technical moat.
A highly feasible, narrow software optimization for EV powertrain firmware that translates specific human-centric acceleration research into a competitive drivability advantage.
A clinically grounded protocol for non-surgical Class III correction that leverages specific hardware to reduce surgical dependency, though it functions more as a clinical guideline than a standalone venture.
A promising productivity tool that transforms messy verbal brainstorming into structured visual maps, though it faces stiff competition from general-purpose whiteboarding tools adding AI.
A niche decision-support tool that translates a specific academic MCDA framework into a B2B utility for fleet managers facing regulatory pressure.
A viable, low-risk product extension for fuel retailers targeting the aging GDI fleet, though it lacks a strong proprietary moat.
A pragmatic diagnostic tool that shifts the focus from 'orthodontics as a postural cure' to 'postural screening for multidisciplinary care,' though it lacks a clear technical moat.