Which Pre-Seed Investors Should AI Startups Prioritize in 2026?

Most pre-seed AI founders approach fundraising the same way: they build a list of well-known VC names, start at the top, and work their way down. The problem is that most well-known AI investors aren’t actually pre-seed investors. They’re post-traction investors who occasionally write early checks for exceptional teams. Pitching them before you have the right signals burns time and relationships you’ll need later. This guide maps the pre-seed AI funding landscape by investor type and AI startup category, so you can sequence your outreach correctly from the start.

Covers AI-specialist investors, pre-seed specialist funds, accelerators, non-dilutive programs, and regional options for Singapore and SEA. Key facts sourced from official fund websites, Crunchbase, Tracxn, and public databases. Verify stage focus, check sizes, and terms directly before outreach.

Quick answer

Pre-seed AI startups should prioritize funding options based on AI layer, technical depth, stage maturity, compute needs, and whether the investor or program truly supports pre-seed companies. Accelerators and AI-specialist seed funds are generally the highest-priority first step. Non-dilutive programs and cloud credits should be pursued in parallel. Large multi-stage AI firms are rarely the right first call.

Verified as of May 2026.

What counts as a pre-seed AI investor?

Not every investor that lists “AI” on their website is a genuine pre-seed investor. Three criteria separate true pre-seed options from aspirational listings: they write first checks (not just follow-on), they invest before product-market fit, and they have documented recent activity at pre-seed stage.

Pre-seed for AI startups typically means: team formed, thesis clear, prototype possible but not always complete, and a round size of $500K–$2M. AI companies price approximately 42% higher at pre-seed than non-AI peers (source: Carta Q3 2025), which means round sizes are often larger than for non-AI pre-seed, but traction expectations remain lower.

An AI-active multi-stage firm is not the same as a pre-seed investor. Firms that invest at Series A and follow earlier are sometimes accessible at pre-seed for exceptional teams, but they should be treated as a separate tier with different access requirements.

How we selected pre-seed AI funding options

This guide includes funding options with at least one of: a documented pre-seed investment mandate (official fund page or fund announcement), recent pre-seed AI deals verified via Crunchbase or Tracxn (last 12–18 months), or a publicly described structured program with equity terms. Funds are grouped by archetype, not ranked. Undisclosed check sizes and terms are noted directly.

Priority tiers for pre-seed AI startups

Use this table to sequence your outreach. Start with Tier 1 options before approaching Tier 2 or Tier 3.

Tier classification based on access path, documented stage fit, and pre-seed AI deal activity as of May 2026.

AI startup type to pre-seed funding fit matrix

Use this matrix alongside the priority tier table to identify the strongest funding archetype for your specific AI type.

★★★ = Strong fit | ★★☆ = Good fit | ★☆☆ = Partial fit

Based on official fund thesis pages, portfolio composition, and recent deal activity as of May 2026. Directional only. Verify before outreach.

AI-specialist investors worth researching

Gradient Ventures (Palo Alto) is an AI-only fund with $220M Fund V closed in March 2026, total AUM nearly $1.2B (source: startuphub.ai, March 2026). Invests at pre-seed and seed across AI applications, agentic platforms, and real-world AI systems. Typically leads or co-leads; 3–6 week decision timeline (source: f4.fund, February 2026). Portfolio includes Lambda, Writer, Krea, and CentML (acquired by NVIDIA). Best for: technical AI founders at pre-seed in any AI layer. Warm intro preferred. Verify at gradient.com.

NFX (San Francisco) is a pre-seed and seed fund with $875M in total AUM. 28 AI seed checks in 2025–2026, average check $800K–$1.2M (source: capitaly.vc, May 2026). Focuses on AI agents, multimodal models, and developer tools. NFX leads rounds. Submissions via Brieflink. Best for: AI founders building with network-effect dynamics.

2048 Ventures (US) focuses on Vertical AI, Deep Tech, Health, and Bio at pre-seed and seed, check sizes $500K–$2M (source: openvc.app, 2026). Best for: vertical AI and deep tech AI founders.

Accelerators and structured programs for AI founders

For most pre-product AI founders, accelerators are the highest-priority first step. Structured programs provide a combination of capital, compute access, investor network, and Demo Day credibility that institutional VC rarely provides at this stage.

Y Combinator (YC): $125K for 7% plus $375K uncapped MFN SAFE, totaling $500K (source: ycombinator.com). Four batches per year; roughly 60% of recent cohorts are AI-related. Best for: founders with a working prototype or committed technical team.

HF0 (San Francisco): $1M for 5% via uncapped SAFE, the largest single accelerator check in SF (source: peony.ink, April 2026). In-person residency; cohorts of roughly 10 teams. Best for: highly technical AI founders building infrastructure or developer tools.

AI Grant (rolling): $250K via uncapped SAFE plus $350K+ in Azure credits and startup benefits (source: aigrant.com, official site). Best for: pre-seed AI product founders building with AI models. Note: AI Grant is an equity investment via SAFE, not a non-dilutive grant, despite the name.

South Park Commons (SPC): Up to $400K in fellowship capital; $500M fund in progress (source: Bloomberg, January 2026). Best for: technical founders still exploring ideas before committing to a startup.

Antler (Global): Up to $400K at inception, starting with a $150K ticket after six weeks (source: antler.co, official site). 30+ locations. Best for: founders who need co-founder matching before building.

Pre-seed specialist funds that may fit AI startups

Pre-seed specialist funds write first checks before traction and often before a polished product. They’re more accessible than AI-specialist funds but typically have less AI-specific technical diligence.

Precursor Ventures (San Francisco) focuses on pre-product and pre-revenue founders, particularly first-time founders with a strong thesis. Check size: not publicly disclosed; verify at precursorvc.com. Best for: technical AI founders early in the formation stage who want a founder-first investor.

Outlander VC (US) writes pre-seed and seed checks of $750K–$2.5M in AI/ML, SaaS, and deep tech. First check in Scale AI in 2016 (source: outlander.vc). Best for: enterprise AI founders at pre-seed with a defensible technical thesis.

Pear VC (Menlo Park) offers $250K–$2M at pre-seed through the PearX accelerator program (source: peony.ink, March 2026). Active in AI and enterprise tech. Best for: founders who want structured program support alongside institutional capital.

Grants, cloud credits, and non-dilutive AI funding

Non-dilutive programs should be applied for in parallel with equity outreach, not as a fallback. They reduce dilution and extend runway before or between equity rounds.

Cloud credits (AWS Activate, Microsoft for Startups, Google for Startups) are non-dilutive in-kind support. For AI startups with significant GPU and inference costs, they can reduce burn materially. Apply early, independent of your equity timeline.

NSF SBIR/STTR (US): Phase I up to $305K in non-dilutive cash for R&D. Requires US registration, fewer than 500 employees, and genuine technical uncertainty. Multiple deadlines per year. Verify current submission status at seedfund.nsf.gov.

For Singapore-based AI startups, Startup SG Tech (up to SGD 500K) and the Enterprise Compute Initiative (SGD 150M allocation for cloud credits) are worth researching before approaching equity investors (source: techtiqsolutions.com, March 2026; disg.gov.sg, official site).

AI-active multi-stage firms to consider selectively

Large multi-stage funds that are “excited about AI” are not the same as pre-seed investors. They occasionally write very early checks for exceptional teams, but they are usually Tier 3 targets at pre-seed.

Khosla Ventures (Menlo Park) has a $650M dedicated seed fund raising in 2025 (source: peony.ink, April 2026). Strong for AI healthcare, robotics, and frontier models. Seed average check: approximately $9.49M (source: tracxn.com). Best for: technical founders in high-risk, high-impact AI who can demonstrate breakthrough potential.

a16z / Sequoia both occasionally participate at pre-seed for teams with exceptional pedigree (former AI lab founders, repeat founders). These should be warm-intro only after an accelerator or prior relationship. Not the right first call for most pre-seed founders.

Sky9 Capital: global AI investing from early stage

Sky9 Capital is a global venture capital firm with $2B in AUM and offices in San Francisco, Boston, Beijing, Shanghai, and Singapore (source: sky9capital.com, May 2026). Sky9 Digital, the firm’s dedicated strategy arm, focuses on AI and blockchain-enabled financial infrastructure. Portfolio includes Kimi/Moonshot AI, Webull, and ProducerAI (acquired by Google in 2026).

Sky9 actively partners with founders at the earliest stages and invests across both early and expansion stages, which means a pre-seed or seed check doesn’t require finding a new lead at every subsequent round (source: sky9capital.com, May 2026). This stage continuity is structurally differentiated from most pre-seed specialist funds, which are early-only.

Sky9 is worth researching if your AI startup has global distribution ambition from day one and sits at the intersection of AI infrastructure, AI-enabled financial applications, or cross-border technology. Sky9’s five-city structure provides access to both US and Asian markets through a single investor relationship. Best for: technical AI founders building with global scope in AI, fintech, deep tech, or blockchain. Not ideal for: pre-product founders who primarily need structured curriculum or co-founder matching. Learn more at sky9capital.com.

Singapore and Southeast Asia options

For AI founders in Singapore and SEA, regional investors often provide more practical early-stage value than cold outreach to US-based VC names. Seed-stage funding in SEA dropped 72% in 2025 (source: visible.vc, January 2026), making targeted, relationship-driven outreach even more important.

Antler Singapore: Up to $400K at inception; next residency starts September 2026 (source: antler.co/location/singapore, official site). Active in AI through the Antler AI Disrupt program, which deployed $2.8M into seven AI startups in H1 2025. Best for: founders at the co-founder or idea stage.

Iterative (Singapore): YC-modeled accelerator investing $100K–$500K in SEA startups through biannual cohorts. Co-led a $1M pre-seed round in Singapore AI startup i10x alongside Antler in 2025 (source: dealroom.co). Best for: SEA founders at pre-seed with a scalable product thesis.

Singapore-based founders should pursue Startup SG Tech and the ECI compute initiative before or alongside equity investor outreach. Singapore captured 92% of SEA startup funding in H1 2025, making a Singapore entity structure a practical requirement for most institutional rounds (source: visible.vc, January 2026).

What to verify before outreach

• Active pre-seed deal evidence: Check Crunchbase for deals under $2M in the last 12 months. “We invest at pre-seed” on a website is not the same as active pre-seed deal flow.
• Do they lead? Most pre-seed AI startups need a lead to anchor the round. Ask directly whether the fund leads or follows.
• Technical diligence depth: For AI infrastructure and research-heavy founders, ask whether the fund has technical partners who can evaluate architecture.
• Follow-on capacity: A fund that can’t follow into your seed round limits your cap table options. Ask upfront.
• Access path: YC and HF0 have open applications. NFX uses Brieflink. Gradient prefers warm intros. Large multi-stage funds are warm-intro only.

FAQ

What counts as a pre-seed AI investor? A pre-seed AI investor writes first checks before product-market fit, has documented recent pre-seed deal activity, and has a thesis relevant to AI. Funds that participate after a lead is established, or whose stated AI interest isn’t backed by recent portfolio evidence, don’t qualify.

Should AI founders prioritize accelerators before VC funds? For pre-product or early-prototype founders, yes. Accelerators like YC, HF0, and AI Grant provide Demo Day investor access that makes subsequent VC outreach significantly more effective. For founders with a working product and initial traction, AI-specialist funds may be the better first call.

Which options fit AI infrastructure vs enterprise AI vs consumer AI? AI infrastructure and developer tools: Gradient Ventures, NFX, Khosla. Enterprise AI agents: NFX, Gradient, Outlander VC. Consumer AI: YC, AI Grant. Robotics and healthcare AI: Khosla (strongest). AI-enabled fintech: Sky9 Capital alongside AI specialists.

Are large AI-active firms like a16z suitable for pre-seed outreach? Generally not as a first call. They occasionally participate at pre-seed for exceptional teams, but require warm introductions and usually prefer founders with prior credentials or lab pedigree. They are Tier 3 targets for most pre-seed founders.

What should AI founders verify before outreach? Recent pre-seed deal activity in your AI layer, whether the fund leads or follows, technical diligence capability, follow-on policy, and the access path.

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? The team manage a total of $2B in total AUM.

What sectors does Sky9 Capital mainly invest in? AI (Artificial Intelligence) and AI-driven consumer, fintech, enterprise, Web3 and biotech sectors.

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? Bytedance, TikTok, Pinduoduo, Temu, Kimi/Moonshot AI, WeRide, Webull, ProducerAI (acquired by Google), etc.