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All investor lists > Incubators & Accelerators,AI
Browse OpenVC's list of accelerators and incubators supporting AI startups. Find programs offering capital, mentorship, and network access to help you scale.
Last update: July 7, 2026
List author: Devon Wood
Shortlist investors, submit pitch decks, and get replies
Use code "OpenVC". Conditions apply.
Below are structured overviews of leading accelerator programs that consistently include AI-focused startups in their cohorts. Each summary outlines program structure, timeline, investment terms, and published AI alumni.
HF0 operates as a small, in-person residency program in San Francisco. Cohorts are typically limited to around ten teams. The structure centers on full-time participation and founder proximity rather than remote programming.
The program concludes with a Demo Day attended by investors. HF0 publicly shares outcome metrics from prior batches, including revenue and valuation growth across participants.
The residency model attracts technically strong founders building infrastructure software, generative products, and developer-facing tools. HF0 does not publish a formal curriculum structure, positioning the experience around peer intensity and investor access.
Y Combinator runs two main batches per year, each lasting approximately three months. Companies participate in structured weekly group sessions and office hours, concluding with a large-scale Demo Day.
The investment terms are standardized and publicly disclosed. All accepted companies receive the same funding structure.
AI startups have been heavily represented in recent cohorts, including companies building data infrastructure, machine learning operations platforms, developer tooling, and generative applications.
YC provides structured fundraising preparation and access to a large alumni network across industries.
Speedrun is Andreessen Horowitz’s early-stage accelerator, operating in defined 12-week cohorts. The program includes mentorship sessions, structured programming, and a Demo Day.
Participants receive up to $1M in investment. The program also advertises substantial cloud and infrastructure credits, which can be relevant for compute-intensive startups.
Recent cohorts have included a strong presence of AI-native companies across creative tooling, developer infrastructure, and generative software.
Speedrun is cohort-based with publicly announced application cycles and start dates.
Sequoia Arc includes a structured company-building program known as Arc Intensive, which runs over four in-person days for selected founders. Cohorts are intentionally small, typically around ten companies, allowing direct interaction with Sequoia partners and operating teams.
Arc does not advertise a standardized investment amount. Funding decisions are made on a case-by-case basis, and participation in Arc does not automatically guarantee capital.
In addition to Arc Intensive, Sequoia provides participating founders access to Ampersand, its internal digital platform for early-stage companies. This includes curated content, company-building resources, and eligibility for over 200 partner benefits.
Recent Arc cohorts have included early-stage AI startups building infrastructure tools, applied AI software, and enterprise-focused systems.
Neo Residency combines three months of workspace in San Francisco with a two-week bootcamp component. The program is fully in-person and cohort-based.
Neo publicly states that startup-track participants receive $750,000 via an uncapped SAFE. The program also includes over $450,000 in compute credits through partnerships with infrastructure providers, including Microsoft, OpenAI, and AWS.
Cohorts are smaller than traditional accelerators, with published targets of approximately 12 to 15 startups per batch, alongside a smaller group of student founders.
The Residency structure emphasizes product development, founder community, and fundraising preparation within a defined three-month timeline.
Antler Disrupt is structured as a four-week sprint program designed for very early-stage founders. The program operates across multiple global hubs and runs region-specific cohorts.
Antler publicly discloses its deal structure. Companies that pass investment committee at the end of the four-week sprint receive $400,000, structured as $250,000 for 10 percent equity plus $150,000 via an uncapped SAFE with MFN provisions.
The program publishes a defined week-by-week structure that culminates in presenting to Antler’s investment committee.
Antler also highlights AI-specific benefits, including over $650,000 in infrastructure and tooling credits available from day one, with expanded perks after funding.
Techstars runs 3-month accelerators across dozens of cities globally. Each program has a defined start date, fixed cohort, and ends in Demo Day.
Techstars publishes standardized investment terms. Companies accepted into the accelerator receive a $220,000 package consisting of $20,000 in exchange for 6 percent common stock plus a $200,000 convertible note.
Techstars maintains a dedicated AI and Machine Learning network and publicly tags portfolio companies under an “Artificial Intelligence and Machine Learning” category. DataRobot is one of the most visible AI companies to come through Techstars, building automated machine learning infrastructure.
Because Techstars operates city-specific and partner-specific programs, founders apply to a particular accelerator branch rather than a single global intake. Mentor networks and corporate partners vary by location.
PearX is Pear VC’s 12-week accelerator focused exclusively on pre-seed startups. The program runs in defined seasonal batches with publicly announced deadlines.
Pear VC invests directly into companies participating in PearX and often leads or co-leads the company’s first institutional round.
Cohorts are intentionally small, typically fewer than 20 companies. The structure includes weekly sessions, structured founder dinners, and a Demo Day with early-stage investors.
Viz.ai, a healthcare AI company using machine learning to accelerate stroke diagnosis workflows, is a publicly listed Pear portfolio company connected to the PearX ecosystem.
The Databricks AI Accelerator Program is operated by Databricks Ventures and is specifically designed for startups building on the Databricks Lakehouse architecture.
The program launched with a curated first cohort of five companies. It is not a broad open-application accelerator. Participation is selective and tightly integrated with Databricks’ platform ecosystem.
Benefits include direct funding from Databricks Ventures, technical mentorship from Databricks engineers, product integration support, and go-to-market exposure to Databricks enterprise customers.
Unlike traditional accelerators, the program is deeply platform-aligned. Companies are expected to build directly on Databricks infrastructure and leverage the Lakehouse stack as a core component of their architecture.
NVIDIA Inception is not a time-bound accelerator. It is an ongoing global program for startups building products that rely on NVIDIA GPUs, CUDA, or AI software frameworks.
Membership is free and tiered based on company stage. Benefits include preferred pricing on NVIDIA hardware, cloud credits through ecosystem partners, access to NVIDIA engineers for technical guidance, and eligibility for co-marketing support. Startups may also receive introductions to NVIDIA’s venture arm and enterprise partners.
Unlike cohort-based accelerators, there is no fixed start date, Demo Day, or standardized investment. Companies apply to join the ecosystem and can leverage benefits immediately after acceptance.
Founders always ask the same question:
What actually happens once you get in?
Most accelerators follow a similar rhythm. The details vary, but the pattern is consistent.
Here’s what it usually looks like.
This is where reality hits.
You will spend a lot of time tightening your story and pressure-testing your idea.
Your positioning gets rewritten.
Your pitch gets simplified.
Weak angles get cut quickly.
If your product is broad, you will be pushed to narrow it. If your ICP is vague, you will be forced to define it.
Many founders enter thinking they have clarity. Most leave the first two weeks realizing they were too wide.
Expect intense feedback. Fast iteration. A lot of uncomfortable refinement.
This is execution mode.
The focus shifts to shipping and validation.
Product iterations accelerate.
Customer conversations increase.
Metrics start getting tracked more closely.
You will likely be doing structured fundraising prep in parallel:
Tightening your deck.
Practicing your narrative.
Refining your traction story.
Some accelerators bring in investors during this phase for informal sessions. Others focus heavily on internal reviews before Demo Day.
The pace is high. The expectation is visible progress.
Demo Day is not the end. It is the starting line for fundraising.
You will present to a room of investors or participate in coordinated intro sessions. The quality of those intros depends heavily on the accelerator’s network strength.
After Demo Day:
Investor follow-ups begin immediately.
You will have to manage inbound interest.
Timelines compress.
This is where alumni networks start to matter. Former founders often help with investor references, hiring intros, and tactical advice during the raise.
For AI startups in particular, investors will dig into model defensibility, data advantages, and compute economics during this phase. The accelerator prepares you for those conversations, but you still have to execute.
The programs listed above are some of the most competitive accelerators in the world. Acceptance rates for many of them sit in the low single digits. In practical terms, that means thousands of founders apply for a handful of spots.
Getting in can meaningfully accelerate your trajectory. But not getting in does not mean your startup lacks potential.
There are hundreds of strong regional, industry-specific, and corporate-backed accelerators that provide capital, mentorship, and network access. Many are less visible, less brand-heavy, and still extremely valuable.
If you are serious about exploring your options, OpenVC maintains a database of over 1,300 accelerators and incubators worldwide. You can filter by stage, geography, and industry focus to find programs that actually match your startup.
Founders building in AI often look beyond a single category. Explore related industries to find the right program for your startup.
Save investors, manage outreach, and run your fundraising in one platform.
OpenVC is a free startup fundraising platform that helps founders find the right investors and manage their entire raise. Search 20,000+ verified investors, including venture capitalists, angel investors, family offices, accelerators, and more. Build your target list, send your pitch deck, and track your pipeline all in one place.
Founders raise with OpenVC because it is designed to cut through the noise and get founders in front of the right investors, fast. With built-in tools for CRM, analytics, and warm intros, it helps you stay organized and improve your chances of getting a reply.
OpenVC is for early-stage startup founders who want to raise capital efficiently. Find investors from dozens of industries including SaaS, AI, fintech, biotech, and more. Whether you’re pre-seed, seed, or Series A, OpenVC helps you find and pitch aligned investors without paying intro fees, aimlessly cold-emailing, or scraping databases.
To start pitching investors on OpenVC, create a free account and submit your pitch deck directly through our startup funding platform. Investors receive a unique link to view your deck, and you get analytics on who opens it and how long they spend on it. No cold emails, no guesswork. For more info, check out our complete guide to fundraising on OpenVC.
Absolutely, OpenVC is designed for early-stage fundraising. You’ll find thousands of angel investors, pre-seed VCs, accelerators, incubators, and family offices who are actively backing startups across sectors and geographies. Use OpenVC’s filters to narrow your search and find the right investors for your startup.
Some examples of startups that successfully secured funding through OpenVC include Mobly (2.5M seed), Paxum ($1.2M seed), and Laennec AI ($400k pre-seed). OpenVC startups have gone on to raise more than $1 billion from top venture capital firms like YC, Sequoia, Google Ventures, and M12.
OpenVC was created by Stephane Nasser and Lucas Roquilly—two founders building tools to make startup fundraising more transparent and accessible. We launched OpenVC to help founders find investors, get replies, and raise smarter. The platform is bootstrapped, community-driven, and built with a lot of heart.
To find investors for a startup, begin by narrowing down the types of investors that align with your stage, industry, and traction, whether that’s angels, pre-seed VCs, or incubators. Startup investors typically look for fit across market, timing, and founder expertise, so it’s important to be targeted rather than spray-and-pray. Networking through warm intros, pitch events, and alumni networks can help, but these opportunities are slow and inconsistent.
If you’re wondering where to find investors for your startup more efficiently, OpenVC gives you access to a database of 20,000+ startup investors you can filter by stage, sector, geography, and more. It’s fast, free, and built specifically to help founders find investors streamline their raise.
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