A tailored course, built for your situation
Commercialising Industrial Science: From Concept to Market Readiness
A tailored roadmap for turning deep-tech innovation into investable, scalable ventures
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Turning groundbreaking science into viable, fundable ventures is hard , especially when technical maturity doesn’t align with investor expectations.
The situation this course is for
Deep-tech founders and commercial leads often struggle to bridge the gap between scientific validation and market credibility. The technology may be sound, but without a clear path to scalability, funding, and go-to-market strategy, even high-potential ventures stall. Traditional frameworks don’t address the nuances of industrial science commercialisation , leaving innovators over-explaining and underfunded.
Who this is for
Technical founders, innovation leads, and commercialisation executives working at the intersection of science, engineering, and market readiness , especially in industrial or energy-related sectors.
Who this is not for
This is not for software startups, general product managers, or teams working on incremental innovation without deep technical risk.
What you walk away with
- Structure a commercialisation roadmap aligned with investor expectations
- Translate technical milestones into compelling funding narratives
- De-risk ventures using stage-gate planning adapted for deep-tech
- Build investor-grade documentation and pitch materials
- Navigate stakeholder alignment across technical, financial, and strategic partners
The 12 modules (with all 144 chapters)
Module 1. Defining Commercial Readiness
Clarify what success looks like beyond technical validation. This module introduces the commercial readiness framework, aligning scientific progress with business milestones and stakeholder expectations.
12 chapters in this module
- Commercial vs technical readiness
- Mapping stakeholder expectations
- Identifying market entry thresholds
- Setting venture goals early
- Aligning team incentives
- Assessing scalability triggers
- Defining value propositions
- Benchmarking against peers
- Validating problem-solution fit
- Documenting assumptions
- Building credibility roadmap
- Tracking commercial KPIs
Module 2. De-Risking Deep-Tech Ventures
Break down perceived and real risks in industrial science ventures. Learn how to systematically reduce uncertainty across technical, market, and operational domains.
12 chapters in this module
- Categorising venture risks
- Technical risk assessment
- Market adoption uncertainty
- Regulatory pathway mapping
- Supply chain vulnerabilities
- IP protection strategies
- Team capability gaps
- Funding runway risks
- Scaling bottlenecks
- Partner dependency risks
- Reputation exposure
- Mitigation planning
Module 3. Stakeholder Alignment Strategy
Navigate complex stakeholder landscapes including investors, partners, regulators, and technical teams. This module covers communication frameworks and alignment tactics.
12 chapters in this module
- Identifying key stakeholders
- Mapping influence and interest
- Tailoring messaging by group
- Building trust with investors
- Engaging technical leads
- Managing board expectations
- Partner negotiation levers
- Regulatory engagement plan
- Public positioning strategy
- Internal alignment tactics
- Conflict resolution models
- Maintaining momentum
Module 4. Funding Readiness Framework
Prepare ventures for funding conversations. This module covers investor types, funding stages, and how to structure compelling narratives for non-technical backers.
12 chapters in this module
- Types of deep-tech funding
- Venture capital expectations
- Grant funding strategies
- Corporate partnership models
- Equity vs non-equity terms
- Building investor decks
- Financial projection models
- Use of funds planning
- Valuation benchmarks
- Due diligence prep
- Term sheet navigation
- Closing readiness checklist
Module 5. IP and Asset Positioning
Maximise the strategic value of intellectual property and technical assets. Learn how to position IP for funding, partnerships, and exit potential.
12 chapters in this module
- IP landscape analysis
- Patent strategy fundamentals
- Trade secret considerations
- Freedom to operate checks
- Licensing models
- Joint development agreements
- IP valuation methods
- Portfolio structuring
- Defensive vs offensive IP
- Partner IP clauses
- Enforcement planning
- Exit alignment
Module 6. Go-to-Market for Industrial Science
Design realistic, phased market entry strategies. This module covers pilot planning, early adopters, and scaling constraints unique to industrial sectors.
12 chapters in this module
- Identifying early adopters
- Pilot project design
- Customer discovery methods
- Channel strategy planning
- Pricing for early markets
- Regulatory approvals path
- Supply chain setup
- Manufacturing readiness
- Service model design
- Scaling constraints
- Localization planning
- Exit route alignment
Module 7. Team and Leadership Structure
Build leadership models that balance technical depth with commercial execution. Learn how to structure teams for investor confidence and operational agility.
12 chapters in this module
- Core team roles
- Technical leadership needs
- Commercial leadership gaps
- Advisory board design
- Hiring roadmap
- Equity allocation models
- Board composition
- Succession planning
- Remote team dynamics
- Performance metrics
- Culture in deep-tech
- Leadership development
Module 8. Financial Modelling for Deep-Tech
Create realistic, defensible financial models that reflect long development cycles and capital intensity. This module covers scenario planning and investor expectations.
12 chapters in this module
- Revenue forecasting methods
- Cost structure analysis
- Capital expenditure planning
- Burn rate management
- Scenario modelling
- Sensitivity analysis
- Funding milestone alignment
- Cash flow projections
- Unit economics
- Margin expectations
- Break-even planning
- Model validation
Module 9. Regulatory and Compliance Pathways
Navigate complex regulatory environments in industrial and energy sectors. This module covers compliance planning, certification, and engagement strategies.
12 chapters in this module
- Regulatory landscape mapping
- Certification requirements
- Compliance timeline planning
- Engaging regulators early
- Standards alignment
- Environmental impact checks
- Safety certification paths
- Data compliance needs
- International regulations
- Audit readiness
- Third-party validation
- Reporting frameworks
Module 10. Partnership and Alliance Strategy
Identify and engage strategic partners to accelerate development and market access. This module covers due diligence, structuring, and governance.
12 chapters in this module
- Partner identification
- Strategic fit assessment
- Due diligence process
- MOU structuring
- Joint development terms
- IP sharing models
- Governance frameworks
- Performance tracking
- Exit clauses
- Conflict resolution
- Scaling partnerships
- Relationship management
Module 11. Narrative and Storytelling for Investors
Craft compelling, technically accurate narratives that resonate with non-technical investors and partners. This module covers messaging, framing, and delivery.
12 chapters in this module
- Investor psychology
- Story arc design
- Simplifying complexity
- Data storytelling
- Visual narrative tools
- Pitch deck structure
- Elevator pitch refinement
- Handling objections
- Tone and credibility
- Case study framing
- Media readiness
- Public speaking prep
Module 12. Scaling and Exit Planning
Plan for long-term growth and eventual exit. This module covers scaling models, exit options, and how to maintain value through transitions.
12 chapters in this module
- Scaling readiness
- Operational capacity
- Talent pipeline planning
- Exit option mapping
- Acquisition readiness
- IPO preparation
- Secondary sale paths
- Valuation drivers
- Succession planning
- Brand evolution
- Stakeholder communication
- Legacy planning
How this maps to your situation
- You're leading a venture rooted in industrial science and need a clear path to market.
- You're preparing for funding conversations and need investor-ready materials.
- You're aligning technical and commercial teams around a shared roadmap.
- You're building credibility with partners, regulators, or boards.
Before vs. after
Before
Uncertain how to translate technical progress into commercial momentum, struggling to align stakeholders, and lacking a structured path to funding or market entry.
After
Equipped with a clear, actionable roadmap to commercialise deep-tech innovations, align stakeholders, and secure funding with confidence.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3-4 hours per module , designed for busy technical leaders. Total commitment: around 40 hours, spread at your pace.
If nothing changes
Without a structured commercialisation strategy, even breakthrough technologies risk stalling in development limbo , underfunded, misaligned, and overlooked by investors and partners who don’t grasp their potential.
How this compares to the alternatives
Unlike generic startup advice or academic frameworks, this course is built specifically for industrial science ventures , combining technical realism with commercial strategy, and delivering actionable tools, not just theory.
Frequently asked
Who is this course for?
Technical founders, innovation leads, and commercialisation executives working on deep-tech ventures in industrial, energy, or engineering sectors.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is this relevant if I'm not in software or consumer tech?
Yes , this course is specifically designed for non-consumer, industrial science ventures with long development cycles and high technical risk.
$199 one-time. Approximately 3-4 hours per module , designed for busy technical leaders. Total commitment: around 40 hours, spread at your pace..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours