Explore AI and machine learning startups building the next generation of intelligent products. From applied AI to LLM infrastructure, these founders are tackling real problems with cutting-edge technology across verticals from healthcare to fintech.
by Daniel Stepanenko
The problem is clearly defined as the threat posed by hostile UAVs and drones to military and critical infrastructure, with a lack of effective autonomous counter-drone systems in the market.
by Jeffrey Pruitt
Sports bettors rely on gut and public-driven lines; lack access to sophisticated analytics.
Founders spend 10+ hours/week on fundraising admin (forms, emails), miss deadlines, and duplicate information across applications.
by Max Ratinov
Businesses struggle to deliver AI projects end-to-end (scoping, sourcing and vetting experts, ensuring security/compliance, and managing delivery).
by Seth Phillips
Scattered travel and lifetime notes are hard to organize into actionable health and life insights; travelers need integrated translation, journaling, and health tracking.
by Dale Fallon
by Aston Steven
Africa's agricultural trade is fragmented, opaque, and inefficient: fragmented supply chains, high remittance fees (7–12%), payment delays, and sourcing challenges.
by Michael Messner
Modern wars show massive damage from drones (FPV, Shahed, loitering). Current defense is too expensive, too slow, and not scalable. Europe and Ukraine urgently need a cost-effective, autonomous...
by Corbin H Fanning
Texas
Airlines frequently mishandle or damage passengers’ wheelchairs and scooters, causing severe harm to mobility, travel experience, and significant costs for airlines (repairs, fines, training, and...
by Yousef Al juhmani
by Minimal Tester
by Referred Tester
by Region Tester
Texas
by Minimal Tester
by Minimal Tester
by Referred Tester
by Region Tester
Texas
by Minimal Tester
by Full Tester
San Francisco, California
by Referred Tester
by Andrew
Static, passive digital content and fragmented, outdated tools (e.g., Adobe) or walled-garden platforms (e.g., Amazon) reduce engagement and limit creator control and monetization.
by Region Tester
Texas
by Misha Hlavacu
Czechia (Czech Republic)
Hiring processes are inefficient: ATS/AI filtering yields irrelevant matches, long time-to-hire, and poor-fit hires; candidates face opaque application experiences.
by Nabeel Khan
Tens of thousands of small, profitable online businesses (SaaS, AI, service tools) are too small for traditional VC or M&A. Founders burn out or stall growth but have no easy exit option....
by Matt Spettel
Strength training is effective but hard to sustain; high drop-off in apps and lack of affordable personalized coaching.
by inv_inquiries@rps.game
High barriers and costs to set up and operate online casinos: marketing, licensing (up to $30k per jurisdiction), and expensive software. Players must beat the house; many games are perceived as...
by Justin Emmert
In 2024, 1.9M VA disability claims were filed and roughly one-third were denied due to lack of medical evidence. Over 60% of veterans report difficulty obtaining medical evidence; an estimated 50% of...
by Jules Wordcraft
Georgia
Static NPCs and predictable storylines harm immersion. Current gaming AI relies on pre-programmed dialogue trees that limit branching, lack emotional continuity, and feel robotic.
by Timothy Wilson
Virginia
by Tyler Ray
Seattle, WA
Web3 builders struggle to launch apps, websites, and tokens quickly; developer scarcity and high fraud/scam risk.
by Minimal Tester
by Full Tester
San Francisco, California
by Referred Tester
by Region Tester
Texas
by Yassin Hafid
Houston, TX
Financial research is a bottleneck: analysts spend ~40% of the day searching for information; 40% of large deals slip ≥ 3 months; delayed deals risk millions in fees.
by Gordon Anderson
Construction scanning produces large point-clouds (100GB typical) that require time-consuming manual conversion into usable 3D CAD models. Current solutions are semi-automated or produce coarse...
by Joseph Lim
Dix Hills, NY
Influencer marketing is too expensive with uncertain ROI, too complicated due to lengthy negotiations, and not scalable when managing many influencers.
by John Rey Doromal
Legal research and document analysis are time-consuming and difficult for law students and professionals.
by Faisal Iftekhar
Home gaming lacks the high-end equipment, physical space, and social interaction of location-based entertainment; there's no seamless path between home play and arcade/VR venue experiences.
by info@botco.ai
Drug development faces high failure rates, complex FDA/EMA regulatory requirements, patient recruitment and retention challenges in clinical trials, safety monitoring and compliance burdens, and...
by Bill Johnson
Healthcare organizations struggle with privacy, security, and data standardization; legacy data management solutions are fragmented, costly, labor-intensive, and not end-user friendly.
by Sam Hilsman
Most AI assistants forget user context and limit usable memory, requiring users to re-explain themselves repeatedly.
by argos.developmentprofile@gmail.com
Enterprise cybersecurity is largely reactive; existing defenses and pen-testing approaches do not proactively predict and patch emerging threats. Cybercrime damages projected to be extremely large...
by Christian Dalzell
Enterprise multi-entity tax transparency and consolidation across jurisdictions
by Samuel E. Ugeh
Lack of interoperability between blockchains, slow/expensive consensus mechanisms, limited real-world integration and utility.
by Sundeep Kumar
Singapore
Current AI suffers from context loss and stateless interactions; intellumia aims to solve by building a personal AI twin with persistent graph memory.
by Fahad Hossain
New York
Fundraising and investor relations workflows for alternative asset managers are manual, fragmented, and inefficient.
by Prathamesh Saraf
Across industries, communication gaps in meetings, sales conversations, and compliance reviews lead to wasted time, misalignment, and higher training costs. Current approaches to training and...
by Anushrot Mohanty
SMBs face disconnected data workflows, high manual ETL and lack accessible, explainable AI analytics.
by Marco McKinley
New York
by Brian Behm
Austin, TX
Productions bleed budget and time on crowds and set continuity: casting bottlenecks, wardrobe shortages, weather, reshoots, and manual continuity fixes drive significant delays and cost overruns.
by David Omungala
Knowledge workers are drowning in data but starving for insight; existing AI tools increase speed but not insight.
Individuals, couples, cofounders, and teams lack tools to proactively detect and navigate psychological and relational patterns, timing windows, and compatibility dynamics. Existing journaling and...
Repetitive CRM tasks and delayed follow-ups cost time and reduce close rates by up to 80%.
Organizations struggle to build high-trust, high-performance relationships; traditional one-off or theoretical communication trainings fail to create lasting behavior change and practiced skills.
OEMs have limited visibility into bottom-tier suppliers. Hidden markups stack across the procurement chain, increasing costs. Unnecessary intermediaries extend lead times.
by Precious Ogbonna
by Williams Bawo Itsoko
by James Pogreba
by Chiziterem C Uwaga
by Christopher Moloney
Our community includes 87 startups in the AI & Machine Learning space. Funding stages span 33 at PRE SEED, 15 at BOOTSTRAPPED, 6 at ANGEL, 5 at SEED.
25 startups have built a working product. 3 are generating revenue. 39% have technical co-founders who can build and iterate on product.
Investors interested in AI & Machine Learning can browse these startups and use our AI-powered matching to find companies that align with their investment thesis, stage preference, and check size.
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