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How to Diligence a Therapeutic Startup

7 min reading How to Diligence a Therapeutic Startup “In therapeutic investing, the science must be right, but the strategy must be smarter.” Diligencing a therapeutic startup is unlike any other form of early-stage investing. It requires balancing scientific rigor with business realism. From molecule to market, investors must evaluate not just whether the science works, but also whether the pathway to revenue and, eventually, to exit is both capital-efficient and strategically defensible. In this article, we distill insights from Startup Funding Espresso episodes on diligence, biotech assessment, and founder fit to create a structured playbook for investors, founders, and diligence teams navigating therapeutic innovation. The Purpose of Diligence Therapeutic startups operate at the intersection of science, regulation, and capital markets. The goal of diligence is to validate alignment across three domains: Technical feasibility — Does the underlying science or technology platform hold up under scrutiny? Regulatory viability — Is there a clear pathway through the FDA, EMA, or equivalent agencies? Commercial potential — Is the market large enough, accessible enough, and ready enough to support sustained adoption? The episode “Setting up Due Diligence” underscores that diligence is not a checklist but a risk-reduction process. Each layer, technical, market, financial, and team, reveals not only what’s known but also where uncertainty resides. Key Pillars of Therapeutic Diligence Across episodes like “What Investors Look for in a Biotech Startup”, “Core Skills for Biotech Drug Development”, and “Best Practices for Therapeutic Startup Fundraising,” five diligence pillars consistently emerge: a. Scientific Validity Evaluate the mechanism of action and supporting pre-clinical data. Look for peer-reviewed validation or collaborations with credible institutions. Avoid overreliance on early, non-replicated studies. b. Regulatory Readiness Determine if the company understands its regulatory classification (drug, biologic, device, or combination product). The episode “Key Documents for Your Due Diligence Box” reminds investors to confirm the presence of pre-IND or pre-submission feedback and a mapped timeline to key milestones (IND, Phase I/II/III, etc.). c. Intellectual Property Strong IP defines competitive durability. Diligence teams should verify patent ownership, freedom-to-operate analyses, and upcoming expirations. The episode “Red Flags in Due Diligence” lists weak patent coverage and licensing ambiguity as common deal-killers. d. Market and Reimbursement The episode “How to Diligence the Market” highlights the importance of mapping addressable markets, reimbursement codes, and pricing elasticity early. In therapeutics, the buyer is often not the user; understanding payer dynamics is as critical as clinical efficacy. e. Team and Execution From “How to Diligence the Team” and “How Much Diligence to Run on a Founder,” we learn that successful therapeutic founders combine scientific depth with regulatory and commercial literacy. Look for balanced teams, scientific founders complemented by business operators and regulatory veterans. Evaluating the Science: From Discovery to Translation Scientific diligence is both art and analytics. The episodes “Technical Due Diligence” and “Performing Due Diligence Like a VC” emphasize reviewing: Preclinical data integrity (sample sizes, control design, statistical significance). Translational relevance (animal model to human trial correlation). Scalability of the therapeutic platform (manufacturing, formulation, delivery). Replicability and documentation quality. The diligence process should involve external subject-matter experts who can assess biological plausibility and experimental design. Investors often underestimate how manufacturing complexity and stability testing can become multi-million-dollar bottlenecks post-Series A. Regulatory Diligence: Navigating the FDA Maze Episodes like “Due Diligence: The Thorough Approach” and “Signing NDAs in Due Diligence” note that regulatory diligence is not just about confidentiality; it’s about clarity. Investors should verify: Has the company engaged with the FDA through pre-IND or Q-submission meetings? Does the clinical plan align with regulatory precedent? Are timelines and budgets realistic given the required studies? For devices and diagnostics, the 510(k), De Novo, and PMA pathways drastically change time-to-market and capital requirements. For drugs, investors should validate the clinical endpoints that regulators will recognize and the CMC (Chemistry, Manufacturing & Controls) readiness. Market Validation and Adoption Risk The episodes “How to Perform Marketing Due Diligence” and “The Role of Social Media in Due Diligence” remind us that even brilliant therapies fail if they can’t cross the commercial chasm. Critical diligence questions include: Who pays for this therapy—patients, insurers, or hospitals? What’s the comparative cost versus the current standard of care? How do KOLs (Key Opinion Leaders) view the therapeutic value? Savvy investors go beyond market sizing they look for evidence of early traction, like investigator interest, LOIs from clinics, or grants validating unmet needs. Financial and Risk Diligence In “Financials, Team and Domain Diligence” and “Going Through Due Diligence,” Hall T. Martin highlights the need to align scientific milestones with capital tranches. Key insights include: Link fundraising to de-risking events (e.g., IND submission, Phase I completion). Assess capital efficiency: how much per data point? Model downside scenarios: what happens if the lead candidate fails? Therapeutic startups should demonstrate clear cash-to-value conversion, showing how each dollar accelerates the next stage of validation. Qualitative and Quantitative Diligence From “The Quantitative and Qualitative Side of Due Diligence,” effective investors integrate metrics and intuition. Quantitatively, they evaluate market size, runway, and clinical timelines. Qualitatively, they examine founder motivation, transparency, and resilience. The best diligence blends data with discernment; a founder’s honesty in disclosing failed experiments often signals stronger integrity than perfect slides. Common Red Flags Episodes like “Red Flags in Due Diligence” and “What Isn’t Being Said in Due Diligence” reveal recurring warning signs: Overstated preclinical results or missing negative data. Lack of clarity on IP ownership or licensing. Unrealistic regulatory timelines. Founders are resistant to third-party validation. Weak capitalization structure or unrecorded convertible debt. Any one of these can indicate a lack of maturity in governance or readiness for institutional investment. Building the Due Diligence Box The “Key Documents for Your Due Diligence Box” episode lists must-have files: Executive summary and pitch deck Scientific white papers IP portfolio summary Regulatory correspondence Financial model and cap table Team bios and advisory board profiles For therapeutics, include clinical protocol summaries and manufacturing validation reports. Organizing these early signals professionalism and preparedness. Performing Diligence Like a VC In “Performing Due Diligence Like a VC,” the guidance

How to Diligence a Deeptech Startup

5 min read How to Diligence a Deeptech Startup Deeptech investing sits at the frontier of science and innovation where research, engineering, and commercialization intersect. Unlike pure software startups, deeptech ventures build defensible advantages through hard science: novel materials, AI hardware, quantum systems, robotics, medtech, or energy storage breakthroughs. These opportunities are exciting but also carry unique risks. Traditional venture diligence frameworks often fall short when technology readiness, regulatory hurdles, and manufacturing scalability dominate the risk stack. This article distills key lessons from Startup Funding Espresso episodes on diligence, technology risk, and commercialization. The goal: to help investors and founders apply a structured, evidence-based approach to evaluating deeptech startups. Why Deeptech Diligence Is Different Every deeptech company compresses three risk domains—science, engineering, and market adoption into a single domain. The challenge is not just whether the technology works, but whether it can be built repeatedly, validated independently, and sold at scale. Traditional diligence focuses on traction and market fit; deeptech diligence begins earlier, with proof-of-concept data, IP defensibility, and regulatory feasibility. Investors must verify not only what exists today but also how quickly risk can be reduced per dollar invested. Key mindset shifts include: From forecasting revenue to mapping technology readiness. From tracking KPIs to testing falsifiable hypotheses. From scaling growth to scaling evidence. 1. Technology and IP — The Foundation of Value The first diligence lens is technical validation. Investors must separate scientific promise from engineering reality. Ask: What has been independently demonstrated, and what remains unproven? Use a Technology Readiness Level (TRL) framework to map progress: TRL 3–5: Lab validation and prototype proof-of-concepts. TRL 6–7: Pilot or limited field trials with defined performance metrics. TRL 8–9: Qualified production systems ready for deployment. Request replicable data, third-party lab results, prototype test reports, and failure analyses. Look for structured experimentation and defined “next proof milestones.” Equally critical is IP defensibility. Strong patent portfolios are not measured by quantity but by claim strength, enforceability, and market coverage. Review patent claims with a freedom-to-operate (FTO) analysis and assess continuation plans. Green flags: independent validation, multiple claims granted, clear continuation strategy.Red flags: single provisional filings, overlapping prior art, or reliance on unprotected trade secrets. 2. Regulatory and Standards Pathway Many deeptech sectors—especially medtech, energy, and advanced materials face heavy regulatory oversight. Evaluate: Applicable standards and certifications (FDA, CE, UL, ISO, ITAR, etc.). Defined testing phases, costs, and lead times. How compliance and certification are budgeted within the funding round. A credible startup presents stage-gated plans, design verification, safety testing, and third-party audits with clear contingency budgets. Failing to anticipate certification hurdles can derail commercialization even when performance is strong. 3. Manufacturing and Supply Chain Deeptech ventures live or die by manufacturing scalability. A prototype in a lab is far from a product on a production line. Focus diligence on: Design for Manufacturability: Has the team engineered around tolerances, yield loss, and cost variability? Supplier validation: Are key materials single-sourced or dual-qualified? Cost curves: Does the company model BOM reduction as a function of volume? Unit economics should improve with scale—not degrade under real-world conditions. Review supplier references, pilot production data, and yield reports, along with contingency plans for critical components. 4. Market Validation and Go-to-Market Strategy Deeptech adoption is slower and more conservative. Market traction is measured by pilots, paid proofs of concept (POCs), and letters of intent (LOIs), not user downloads. Ask: Who are the anchor customers? Are there signed pilots with success metrics? Do successful pilots convert to purchase orders or rollout commitments? Look for evidence of market pull rather than push. Strong startups identify a beachhead market, a narrow, high-value initial use case to expand from once technical and regulatory risks are reduced. 5. Business Model and Unit Economics Deeptech success depends on translating innovation into a sustainable business. Assess: Pricing logic: value-based or cost-plus. Service model: warranty, maintenance, support obligations. Margin progression: gross margin by production lot and expected BOM reductions. Validate a clear path to profitability once production stabilizes. Many deeptech companies underestimate hidden costs tooling, certification renewals, and warranty exposure. Confirm how gross margins evolve with scale and how service costs are managed. 6. Team and Execution Capability Winning deeptech teams blend: Scientific depth (core technology and IP creation). Engineering discipline (system integration, QA, and reliability). Commercial skill (enterprise sales and regulatory navigation). Assess whether the team balances technical and operational expertise, or knows when to bring in external expertise. Signs of execution maturity: Detailed experiment and pilot schedules. Hiring plans tied to risk milestones. Advisors or board members with relevant domain expertise. The best teams demonstrate self-awareness and a plan to close capability gaps as they grow. 7. Financial and Capital Planning In deeptech, capital efficiency equals risk reduction per dollar spent. Each round should connect the capital directly to the risk milestones: Proof of principle → validated prototype. Prototype → regulatory clearance or pilot. Pilot → scaled production or recurring revenue. Ensure the round fully funds the next de-risking event. Partial funding during critical phases, such as certification, can dramatically increase failure risk. Common Red Flags Reliance on anecdotal or non-replicable data. Undefined or unrealistic regulatory timelines. Missing supplier validation for long-lead components. Pilots without success criteria or written commitments. IP limited to provisional filings without FTO analysis. When several appear together, they signal structural risks, not minor gaps. Clear Green Flags Independent third-party validation of test data. Detailed regulatory roadmap with time and budget estimates. Qualified manufacturing partners and early yield data. Paid pilot contracts with expansion pathways. Documented BOM and cost-reduction roadmap. These signals indicate a company transitioning from research to execution, where investors can confidently participate in scaling innovation. Read More from TEN Capital Education here.

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