Opportunity Scanner
Filter candidate concepts by sector, audience, readiness, feasibility, regulation, budget and risk before planning customer research.
ENOWAI / PLATFORM
Find the question worth investigating.
Explore static opportunity hypotheses across energy, industrial systems and resource efficiency. No real-time market scanning is connected.
What the handoff contains
Hypothetical opportunity cards with demand assumptions, evidence starting points and next validation steps.
What must be established
A high score is not market validation. Interview buyers and independently verify each premise.
INTERACTIVE PRODUCT CONCEPT / GUIDED SIMULATIONDiscover promising AI opportunities
Discover promising AI opportunities
in renewable energy.
Static opportunity observatory · scores, budgets and demand are hypothetical.
5 concepts · 0 saved locally
Energy / HYPOTHETICAL
Industrial battery diagnostics
76/100 · sample scoreFleet operators may pay for earlier identification of degradation.
- Competition
- OEM diagnostics and internal reliability teams
- Next validation
- Interview five operators and audit available degradation labels.
- Commercial experiment
- Interview a narrow buyer segment; compare an offline paid pilot with existing tools. Potential pricing remains to be researched.
High risk · Pilot concept · $75,000 assumed research budget
Discuss this hypothesis ↗Energy / HYPOTHETICAL
Grid forecasting assistant
71/100 · sample scoreOperators may need uncertainty-aware forecasts at local grid level.
- Competition
- Forecast vendors and utility modeling teams
- Next validation
- Compare with a seasonal baseline on representative historical data.
- Commercial experiment
- Interview a narrow buyer segment; compare an offline paid pilot with existing tools. Potential pricing remains to be researched.
High risk · Research · $100,000 assumed research budget
Discuss this hypothesis ↗Climate / HYPOTHETICAL
Water-efficient data centers
68/100 · sample scoreFacility teams may need cooling decisions that account for local water stress.
- Competition
- Building management systems and engineering consultants
- Next validation
- Obtain site data and define water/energy trade-off boundaries.
- Commercial experiment
- Interview a narrow buyer segment; compare an offline paid pilot with existing tools. Potential pricing remains to be researched.
Medium risk · Research · $90,000 assumed research budget
Discuss this hypothesis ↗Industry / HYPOTHETICAL
AI energy optimization
73/100 · sample scoreManufacturers may value offline recommendations for scheduling energy use.
- Competition
- Energy management suites
- Next validation
- Test a non-controlling recommendation workflow with a facility engineer.
- Commercial experiment
- Interview a narrow buyer segment; compare an offline paid pilot with existing tools. Potential pricing remains to be researched.
Medium risk · Pilot concept · $50,000 assumed research budget
Discuss this hypothesis ↗Climate / HYPOTHETICAL
Carbon accounting evidence desk
64/100 · sample scoreSmaller firms may need traceable evidence collection for reporting.
- Competition
- Established carbon-accounting platforms
- Next validation
- Validate methodology and interview buyers before building integrations.
- Commercial experiment
- Interview a narrow buyer segment; compare an offline paid pilot with existing tools. Potential pricing remains to be researched.
Medium risk · Prototype concept · $25,000 assumed research budget
Discuss this hypothesis ↗Research starting points · not evidence for seeded conclusions
NIST AI Risk Management FrameworkPubMedarXivQiskit documentationPennyLane documentationU.S. Department of Energy — BatteriesOverview
Bring research, product development and commercial planning into one reviewable workflow. The ASI Innovation App is a proposed coordination layer for teams with complex questions.
Recursive Agent Network
Specialized software-agent roles contribute distinct perspectives without replacing credentialed scientists or accountable decision-makers.
Research Intelligence
Research is more useful when a reader can distinguish a source, a hypothesis and an inference.
Your next chapter starts with a question
What could we build together?
Bring the ambition. Let’s define the evidence, the boundaries
and the first meaningful experiment.