How to Angel Invest in Climate and Deep Tech: Andrew Eil's Six-Part Framework

Disclosure: Andrew Eil leads climate and deep tech deals on Play Money, an angel investing marketplace. Cheryl Kellond is Play Money's CEO and the author of this post. The framework, quotes, and portfolio examples below are Andrew's. This is educational content, not investment advice. Angel investing involves significant risk, including the total loss of invested capital. Past deal performance does not predict future results. Nothing here is a solicitation or offer to buy or sell any security.

———————————

Climate and deep tech break the standard institutional VC model. Hardware development timelines outrun fund cycles, capital intensity overwhelms typical seed-round economics, and de-risking depends on non-financial milestones, regulatory, scientific, and partnership, that conventional VCs are structurally bad at evaluating. The result is a funding gap between where government grants end and where institutional VCs begin. That gap, at roughly $5M to $10M valuations, is where angels who understand the science de-risking process write checks on companies institutional capital won't touch for years.

Andrew Eil has spent nearly 20 years in climate finance, technology, policy, and risk, working with governments, development banks, corporates, and founders. He now leads climate deep tech deals on Play Money. He runs a six-part filter on every deal: science already de-risked by grants, no subsidy dependency, radically better economics, a hair-on-fire customer problem, multiple commercialization pathways, and technical founders who know their market. This guide walks through that framework, the macro funding gap behind it, and how to apply both to real deals.

Why the institutional VC model breaks on climate hardware

The "lab to first customers" gap is where most climate deep tech companies die, and where most VCs won't write a check. The bifurcation is structural. VC pattern-matching was built on software metrics. Hardware companies rarely show $300K to $500K in annual recurring revenue, the 2024 seed-round standard for B2B SaaS, before they need capital to build their first commercial unit.

That software standard comes from Forum VC's State of the Market report. A deep tech company building physical hardware has no comparable revenue trail at the same stage, so the metric that gates a seed check simply doesn't exist yet. The company is real. The science is validated. The revenue line that VCs screen on is blank.

The macro picture explains why solving this gap matters. Three numbers frame it:

• The IPCC Sixth Assessment Report finds that limiting warming to 1.5°C requires roughly $4.3 trillion per year in clean energy investment by 2030. Current global investment runs near $1.3 trillion per year, a shortfall of about $3 trillion annually.
• US VC put $29B into climate tech in 2025 per SVB's Future of Climate Tech report, but PwC's State of Climate Tech found deal activity shifting from early-stage to mid-stage transactions. Early hardware companies are being passed over systematically.
• Federal de-risking exists but is capped. DOD SBIR Phase I awards typically run $50K to $250K; Phase II up to $1.5M. ARPA-E SCALEUP awards cover $5M to $20M for energy-technology scale-up. The Inflation Reduction Act directs $369B toward clean energy over ten years, but those are deployment credits, not commercialization capital.

So there's a structural gap between where grants end and where institutional VCs begin. That gap is where Andrew writes checks.

Most VCs say they invest 'early.' Almost none of them are willing to fund the moment that actually matters in climate deep tech: the messy, expensive leap from lab to first real customers. That's the gap Andrew lives in.

Andrew Eil's six-part framework

Andrew does not evaluate climate deep tech companies the way a software VC would. Nearly 20 years across governments, development banks, and corporates taught him to ask one hard question: which climate technologies actually have a shot at becoming big, durable businesses? The six-part filter below is his answer. If you're newer to angel investing generally, start with our 5-day beginner guide, then come back for the climate-specific filter. All six criteria and the language come directly from his Climate Deep Tech Investing Playbook on Play Money.

1. Science already de-risked

The physics should already be validated, often by millions in grant dollars. The real challenge is commercialization, not whether the physics works but whether this can become a business. Grants from NSF, DOE, DOD SBIR, ARPA-E, or prizes that validated the science at bench or pilot scale are the signal. A Technology Readiness Level of 4 or above is a baseline; TRL 6, a system demonstrated in a relevant environment, is preferred.

2. No government crutches

If a business only works with subsidies or fragile policy support, he passes. Climate may be the mission. But customers must buy for hard-nosed cost, risk, or operational reasons. No green premium. Green and cheaper.

Policy-reversal risk is real, and Andrew's filter is simple: if the economics collapse when a tax credit disappears, the company doesn't pass. Customers have to buy because the product is better and cheaper, not because a subsidy makes it tolerable.

3. Radically better economics

Andrew looks for 50% cheaper, or an order of magnitude better, often enabled by waste feedstocks, modular production, or a novel process. A 15% cost advantage at scale isn't enough in capital-intensive markets where incumbents have decades of process optimization behind them. The 50% threshold is the minimum for a durable competitive position. Incremental improvement doesn't win. Structural advantage does.

4. Hair-on-fire customer problems

If no one in the C-suite is losing sleep over the problem, Andrew isn't betting capital on it. The diagnostic: is the buyer an operational executive with budget authority, or a sustainability team with a mandate but no profit-and-loss responsibility? The climate benefit is the gravy. The problem being solved, water scarcity, grid reliability, material cost, is the meat.

5. Multiple commercialization pathways

Where others see a lack of focus in founders with too many potential markets, Andrew sees resilience. If the technology can win in several verticals, the company has life rafts if the first go-to-market fails. The requirement is a clear first beachhead plus credible backup paths, not a brittle single bet. Platform technologies with two or three validated verticals score higher than single-market companies. Structural optionality matters more than the size of the TAM slide.

6. Technical founders who know their market

Founders who've taken their lumps, with prior commercialization attempts, customer conversations before the fundraise, and 10-plus years in the domain, are the signal. First-time founders straight from academia with no customer conversations before raising are the red flag. A non-Silicon-Valley background is not a penalty; it often means the founder has been solving real industrial problems instead of building investor relationships. For the general version of this assessment, see how to evaluate startup founders.

Risk management as the operating discipline

Andrew describes his role as a fractional risk officer embedded with early-stage teams, not a traditional fund manager. The scenario analysis is concrete, not theoretical: what if policy flips? What if input costs swing 20%? What if supply chains fracture? If the only honest answer is "we win only if everything goes perfectly," he walks.

The 20% margin-of-error test is the checkpoint he applies to every deal: the business must survive a 20% swing in input costs. For a materials company using waste feedstocks, that tests whether the feedstock economics are structural, the waste is abundant and cheap to process, or fragile, the economics only work at one commodity price. For a hardware company with supply-chain exposure, it tests whether unit economics survive a real disruption.

Policy risk follows the same logic. A company whose revenue depends on clean energy tax credits faces two risks at once: regulatory reversal at the federal level, and customers delaying purchases while policy is uncertain. Andrew's rule, customers must buy for cost, risk, or operational reasons rather than policy tailwinds, is built to screen out both.

The capital stack: right-sizing capital to milestones

Instead of 'raise a $2M seed with a lead,' he asks: What milestones actually de-risk this company? Pilots? First contracts? Bankability? Then he matches capital sources accordingly: Angels. SPVs. Grants. Corporate pilots. Strategic partners.

The early-stage climate deep tech toolkit spans non-dilutive grants, angel and SPV equity, and corporate pilots, each matched to a specific de-risking milestone:

• DOD SBIR Phase I: $50K to $250K, lab and R&D stage, for US-based companies at early TRL.
• DOD SBIR Phase II: $750K to $1.5M at the pilot and demo stage, after Phase I completion.
• ARPA-E SCALEUP: $5M to $20M for energy-technology scale-up at TRL 4 and above.
• Angels and SPVs: $250K to $2M rounds at pre-seed, once the science is de-risked.
• Early climate VCs such as Lowercarbon, Congruent, and Clean Energy Ventures: $500K to $5M at seed, typically gated on $300K to $500K ARR or a hardware proof of concept.
• Corporate pilots: $100K to $500K, paid by an enterprise buyer with a real operational need.

Award ranges are drawn from SBIR.gov, the ARPA-E SCALEUP funding announcement, and the Forum VC State of the Market report.

The angel's role here is narrow but high-value: write checks at $5M to $10M valuations after the government de-risking is done and before institutional VCs engage. The gap between where SBIR Phase II ends and where a Series A VC's minimum check size begins is where angel returns are made. Spreading those checks across many deals matters here, since climate hardware holds run long, see our guide to angel investing portfolio strategy for the diversification math.

Commercializing deep tech before it's perfect

Andrew borrows from the software playbook to force hardware founders out of the lab: rapid prototyping, early customer feedback, and real market-demand testing before founders burn years perfecting lab work. The five-years-in-the-lab trap, building toward technical perfection without customer validation, is the characteristic failure mode of deep tech startups with strong science and weak commercialization instincts.

Founders who clear Andrew's bar have made customer calls before the fundraise, run pilots under real operating conditions, and know which problem the customer is actually paying to solve, not which problem the technology is theoretically best at. Founders who pass that bar don't just get capital. They get an advocate who helps them structure deals, navigate institutional capital, and time the market.

The framework applied: Andrew's portfolio

The companies below are investments Andrew Eil has led on Play Money, not Cheryl Kellond's portfolio. All figures use confirmed public sources only.

Aquaria makes clean water from ambient air through atmospheric water generation. Founded in 2021 by brothers Brian and Eric Sheng, it raised $112M in November 2024. On the Adamant Ventures podcast in March 2025, Brian Sheng described a pathway toward $100M in revenue over the following 18 to 24 months. Aquaria illustrates all six criteria: science de-risked, no subsidy dependency, a hair-on-fire water-security use case, multiple pathways from residential to community to city scale, and technical founders with domain depth.

Four more companies show the filter at work across very different problems:

• Mothership Materials: a waste-feedstock platform replacing virgin industrial inputs. It clears the 50% cost threshold through a structural feedstock advantage and has multiple vertical applications.
• Carbon Bridge: carbon management and climate infrastructure, with de-risked science, no subsidy dependency, and an operational-buyer problem set.
• Tikal Industries: cement and construction decarbonization, a hair-on-fire problem for buyers facing scope-3 emissions pressure, with platform technology across multiple verticals.
• Athene Intelligence: predictive wildfire analytics for insurers and utilities, where customers buy on loss-avoidance economics with no green premium required.

Written by Cheryl Kellond, founder of Play Money. Serial founder, MIT Sloan MBA, active angel investor. Not investment or tax advice, consult a qualified professional for your specific situation. Last updated: June 2026.