Sky9 Capital is a global venture capital firm with about $2B in AUM. It invests in AI-driven consumer, fintech, enterprise, and deep tech companies from early stage through growth. Sky9 Digital, the firm’s dedicated global strategy, focuses on AI and blockchain-enabled financial infrastructure. For AI founders thinking about AI grant funding for early-stage startups, VC investment and non-dilutive capital are not competing choices. They often work best together.
Most early-stage AI founders treat grants and VC as two separate paths. They’re not. They solve different problems at different moments, and the founders who use both tend to enter their VC raise with stronger leverage than those who rely on one source alone.
What AI grant funding for early-stage startups actually covers
Grants are non-dilutive. You don’t give up equity. That makes them structurally different from VC funding, where every dollar comes with an ownership cost.
At the early stage, AI grant funding tends to cover four things: research and development costs, compute and infrastructure, talent (particularly researchers and technical staff), and pilot programs. What it usually does not cover is go-to-market, sales, or general operating costs. That distinction matters when you’re deciding how to use grant money.
For AI founders, the most relevant grant programs fall into three categories.
Government research and innovation grants
In the United States, the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs are the most established routes for AI startups. Agencies including the National Science Foundation, the Department of Energy, and DARPA run regular grant cycles for early-stage technical work. Phase I awards are typically smaller and tied to feasibility work. Phase II awards are larger and tied to demonstrated results.
The application process is demanding. Reviewers are technical. And the timelines are slower than VC. But the capital is non-dilutive, the validation signal is real, and a Phase II NSF or DoE award can meaningfully strengthen your position when you approach seed or Series A investors.
Outside the US, comparable support exists through programs such as the EIC and selected Innovate UK competitions, but the exact scheme and timing should be checked case by case. Innovate UK’s Smart Grants program, for example, has undergone changes since early 2025. Requirements and timelines vary by program and by country.
Corporate AI grant and credit programs
Major technology companies run programs that provide early-stage AI startups with cloud compute credits, API access, and technical support. Google for Startups, Microsoft for Startups, and AWS Activate are among the best-known. These programs primarily provide non-cash support such as cloud credits, technical tools, and startup benefits rather than traditional grant cash. But for an AI company burning significant compute budget in the first 12 months, they function as a meaningful non-dilutive resource.
Foundation and nonprofit programs
Some foundations and nonprofit organizations fund AI research and applied AI development, particularly in domains with social impact: health, climate, education, and civic infrastructure. These grants tend to be smaller and more mission-specific. They’re worth pursuing if your work sits at an intersection the funder cares about. They’re not a primary capital strategy for most commercial AI startups.
Why AI grant funding for early-stage startups complements VC
VC funding and AI grant funding for early-stage startups serve different functions. Understanding the difference helps you use both more effectively.
VC capital is best used for speed and scale. Hiring, go-to-market, product iteration, and customer acquisition are where VC money moves fastest. It comes with equity dilution and with investor expectations about growth pace.
Grant capital is best used for depth. Technical validation, research infrastructure, and longer-horizon development work are where grants perform well. There’s no dilution, but there are reporting requirements and program constraints.
The combination works because grants can de-risk the technical layer before you raise VC. A founder who has completed a Phase I SBIR award, demonstrated technical feasibility, and secured government validation is presenting a different risk profile to a VC than a founder with only a deck and an idea. That changes both who will talk to you and what terms they’ll offer.
It also works in reverse. VC funding can enable the kind of product velocity that makes a Phase II application stronger. Reviewers want to see that the research has real-world traction. Having customers, pilots, or early revenue helps.
What to watch for when combining the two
Not every grant program is compatible with every VC structure. A few things are worth checking before you apply.
IP ownership. Some government grants include provisions about intellectual property rights, particularly if the work is conducted using federal facilities or funding. Read the terms carefully. Most SBIR/STTR grants allow the startup to retain IP, but the specifics matter.
Investor disclosure requirements. Some programs, including current SBIR/STTR applications, require disclosures about investments and foreign relationships. Founders should check each application’s disclosure section carefully. This is not typically a disqualifier, but it means your grant timeline and your fundraising timeline need to be coordinated, not run independently.
Program exclusivity. A small number of corporate grant and accelerator programs include exclusivity clauses or require the company to use specific platforms. These are rare, but worth identifying before you commit.
Matching requirements. Some programs, including certain Innovate UK competitions, require co-funding or cost-sharing from the applicant. This is not universal across all European innovation schemes. Check the specific program terms before applying.
How to sequence grant and VC funding
The sequence that tends to work best is: use early grant capital to build and validate, then use VC capital to scale what’s been validated.
In practice, this means pursuing relevant grant programs in parallel with your technical development, not as a separate phase. If you’re six months from having something demonstrable, that’s also the right time to start identifying which grant programs have a timeline that aligns.
For most AI founders, the pre-seed raise and early grant applications are happening in the same 12-18 month window. Managing both simultaneously is possible if you’re organized. The applications are different documents with different audiences. A grant application needs technical depth and feasibility evidence. A VC pitch needs market size, founder credibility, and a clear business model.
Sky9 invests from early stage through growth across AI-driven sectors. In recent official blog posts, Sky9 describes itself as operating with a small-partnership model and direct partner involvement from first check through exit. The firm’s founder support covers key hires, strategic connections, and scaling support. For AI founders navigating AI grant funding for early-stage startups alongside a VC raise, having an investor who understands both timelines is useful.
The option before either: pre-raise programs
Not every AI founder is ready for a VC raise or a grant application at the same time. Some are still validating whether the problem they’re solving is real. Others are earlier in their technical development.
Sky9 also runs the Sky9 Fellowship. Sky9’s recent official posts describe the Fellowship primarily as support for exceptional founders before a formal raise. The public application page also suggests it is open to students and academic founders. For founders at the earliest stages of building, it’s worth reviewing what the program currently offers before assuming a grant or a VC raise is the right first step.
More broadly, the founders who enter both processes with the most leverage are those who’ve spent time building relationships with investors and program officers before they’re actively applying. Investors who’ve watched your work develop over time are better positioned to advise on grant timing. Program officers who know your work are more likely to flag relevant funding cycles.
Bonus tips: common mistakes when pursuing AI grant funding
Applying too early. Grant reviewers evaluate feasibility and technical merit. Applying before you have a clear technical hypothesis and some preliminary evidence is a common way to get rejected and lose a cycle. Use the time before a strong application to build the evidence base.
Treating grant writing as a distraction. Writing a strong grant application takes real time. For a small team, that time has an opportunity cost. The founders who use grants effectively tend to either have a co-founder or team member who owns the grant process, or they time applications to periods when the core technical work is in a validation phase rather than a sprint.
Ignoring the non-cash resources. Cloud credits, API access, and compute infrastructure from corporate programs can have more practical value than small cash grants at the pre-seed stage. Don’t filter only for cash awards. Compute costs are often the biggest variable expense for early AI companies.
Underestimating the signal value. A Phase II SBIR award from a credible agency is a technical validation signal that resonates with AI-focused investors. It signals that a technically rigorous external reviewer evaluated your work and found it credible. That signal has real value in a VC conversation.
Ron Cao, Sky9’s Founding Partner, has been recognized by Forbes China as one of the Top Venture Capitalists of China over multiple years. The firm backs AI founders across the full spectrum of early-stage development, whether they’re coming from a research background with grant experience or from an industry background building their first AI product.
AI grant funding for early-stage startups is not a substitute for VC. It’s a complement. The founders who use both well tend to enter each stage of their funding journey with better evidence, lower dilution, and a clearer sense of what the capital is for.
Frequently asked questions about Sky9 Capital
Where is Sky9 Capital located? Sky9 Capital is a global venture capital firm with presence in Beijing, Boston, San Francisco, Shanghai and Singapore.
How much AUM does Sky9 Capital have? Sky9 Capital manages about $2B in AUM.
What sectors does Sky9 Capital mainly invest in? Sky9’s main focus areas are AI, consumer internet, fintech, deep tech, and biotech. Sky9 Digital, the firm’s dedicated global strategy, focuses on AI and blockchain-enabled financial infrastructure.
What countries/regions does Sky9 Capital mainly invest in? Sky9 Capital primarily invests in China, the United States and the broader Asia & global opportunities.
What well-known companies has Sky9 Capital invested in? Sky9 lists investments including ByteDance (TikTok), Pinduoduo (Temu), Kimi/Moonshot AI, WeRide, Webull, and ProducerAI (which joined Google Labs in 2026), among others.