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Request for Startups
We’re backing extraordinary founders at the edge of what’s possible in Agentic AI and Convergence AI. Whether you’re at ‘day zero’, in stealth, or already in pre-seed or seed, this is your call to solve audacious problems that can reshape industries and create the next generational company.
At Untapped Ventures, we don’t just fund features;
we fund full-stack AI companies.
Our lens is narrow and sharp
Agentic AI
Platforms where software is the expert, not
the assistant.

Convergence AI
Where AI fuses with frontier tech like
robotics, neurotech, life sciences, and energy.
If you’re leaving an AI lab, breaking out of FAANG, hacking as a lean builder, solving a problem you know deeply,
or bringing outsider grit to AI, this is your moment.
12 Frontiers for AI Founders
If you’ve ever built inside a big SaaS company, you know the pain: bloated tools, endless integrations, pricing models that punish growth instead of rewarding it. Customers don’t want seats or licenses; they want results.
This is where you come in. AI lets us go beyond “software as a tool” to Software as a Service. Imagine platforms that are the recruiter, the accountant, the claims processor. End-to-end execution, priced on the outcomes delivered, not the hours logged.
For founders who know services from the inside, consultants, BPO operators, SaaS builders, this is a rare window. You’ve seen the inefficiencies up close. Now you can encode the playbooks of the best people you’ve ever worked with into systems that run at scale. That’s not just incremental innovation; that’s creating the category challengers that customers are already waiting for.
Every founder at some point has asked: “Am I building the right thing?” That’s the same question executives, policymakers, and operators ask every day. The problem is, most tools only tell them what happened in the past. What they really need is foresight.
With causal AI and multi-agent simulations, we can finally model “what if.” What if a supply chain breaks? What if a new policy is introduced? What if 10,000 autonomous agents interact in a market? These systems let leaders test futures before they commit dollars or lives.
If your background is in simulations, game engines, large-scale ops, or deep research, you know how hard it is to model complexity, and how valuable it is when you get it right. Enterprises and governments are ready to pay for platforms that don’t just report history, but recommend actions and reduce uncertainty. This is your chance to take what you’ve mastered in code or research and turn it into a tool leaders can’t operate without.
Running one AI agent at a hackathon is easy. Running hundreds safely inside an enterprise is chaos. Memory breaks, agents go rogue, workflows collapse. The opportunity isn’t just in building agents, it’s in building the backbone that makes them reliable.
This means developer tools, observability layers, governance frameworks, and orchestration protocols. Think of the role AWS, Datadog, and HashiCorp played in the cloud era; that’s the role agentic infra startups will play in the agent era.
If you’re a founder who has scaled distributed systems, built infra at FAANG, or hacked together orchestration tools because nothing existed, you know the pain firsthand. Enterprises experimenting with agents are desperate for reliability, compliance, and control. Build the rails, and you won’t just support the ecosystem; you’ll own it.
If you’ve tried to demo an agent to someone outside your dev circle, you’ve probably felt the gap: the tech is powerful, but prompts and dashboards don’t cut it. Most people don’t want to “talk to a model.” They want to feel like they’re collaborating with something natural, intuitive, invisible.
That’s why the next frontier isn’t just better models, it’s better interfaces. Think AR glasses that surface insights before you ask, wearables that respond to a glance or gesture, workplace tools that whisper the right move without a search bar in sight. The interface is the adoption unlock.
If your background is in HCI, OS-level tinkering, or consumer product design, this is where you can make a dent. Founders who figure out how humans really want to work with AI will hold the keys to mass adoption. The next generational company might not train the biggest model; it might build the interface everyone else runs on.
You’ve seen the glimpse with “vibe coding”; type what you want, and a scaffolded product appears in minutes. But why stop there? Imagine typing: “Launch me a product campaign,” and waking up to copy, creative, landing page, ad sets, and reporting already live. Or “Hire me a backend engineer,” and seeing job descriptions, sourcing funnels, and interviews queued.
This is Vibe Everything: text-to-workflow for every function. Marketing, recruiting, finance, ops; no longer teams of tools, but instant execution environments.
If you’re a growth hacker, ops builder, or AI architect, you know the grind of getting things done. Vibe platforms are the leverage you always wished for: speed, consistency, and iteration at the pace of thought. Founders who capture this shift won’t just make work easier. They’ll define the new operating system for companies.
Every founder knows the flip side of building breakthrough tech: jobs change, and entire industries shift under pressure. Over 40% of roles will be reshaped by AI in the next decade. Millions of people will need new skills, fast. Traditional courses, bootcamps, and degrees move too slowly to keep up.
AI-native reskilling platforms can change that. Picture agents that design a personalized curriculum, coach you in real time, validate your mastery, and connect you with employers the moment you’re ready. Training isn’t static anymore; it adapts to you, and it leads directly to work.
If you’ve lived in edtech, labor markets, or talent ops, you’ve seen the inefficiency firsthand. Workers are desperate for paths forward, enterprises need redeployment strategies, and governments are funding solutions. Founders who build here aren’t just capturing a market; they’re building the safety net of the AI age.
Robots have always looked like the future. The problem wasn’t the hardware; it was the brains. Now that multimodal reasoning models can connect vision, language, and action, robots are finally ready to leave the lab and do real work.
Warehouses struggling with labor shortages, hospitals stretched thin, construction sites facing safety risks; these are not abstract problems. They’re daily bottlenecks. Embodied AI can step in where human capacity is scarce or where conditions are unsafe.
If you’re a founder who’s bridged mechanical engineering with AI research, or you’ve spent years on factory floors and know where the gaps are, this is your moment. The winners here won’t just build impressive demos; they’ll build robots people rely on every day. The companies you start now could become the category leaders of the embodied AI era.
Biotech has always been powerful, but painfully slow. Designing, testing, and validating therapies takes years, sometimes decades. AI can compress that loop into months or weeks. Multi-omics, generative protein models, and lab automation are giving small teams superpowers that used to belong only to pharma giants.
This isn’t science fiction. Personalized therapies, anti-aging research, and novel treatments are being designed on laptops today. Regulators are supportive, funding is flowing, and the stakes couldn’t be higher: extending healthspan and curing diseases that touch millions.
If you’re a scientist-founder, a hybrid CS/biology team, or a biotech operator who’s seen inefficiencies firsthand, AI is the accelerant you’ve been waiting for. Build here, and you’re not just creating a company, you’re reshaping how humanity understands and heals itself.
The biggest breakthroughs in the physical world won’t come from marketing slogans; they’ll come from new molecules. Stronger batteries, climate-resilient concrete, next-gen semiconductors: these aren’t nice-to-haves, they’re the foundation of entire industries.
AI makes the impossible practical. Graph neural nets can explore a trillion compounds. Automated labs can synthesize and test candidates overnight. What used to take decades of trial and error can now be compressed into a continuous discovery pipeline.
If you’re a founder coming out of a lab or an industry veteran frustrated by slow R&D cycles, you know the demand is already there. Governments, climate funds, and enterprises are looking for investable breakthroughs. AI + material science isn’t just a research project. It’s the backbone of the next industrial wave.
The brain is the most powerful computer we’ll ever know, and we’ve only begun to interface with it. From restoring mobility to enabling real-time speech decoding, brain–computer interfaces and AI-driven cognitive augmentation are moving from research papers to FDA clearances.
This space isn’t just about technology; it’s about human potential. Imagine helping a paralyzed patient communicate again, or building tools that expand how healthy people learn, focus, and create. Neurotech is at the frontier where AI stops being abstract and starts being deeply personal.
If you’re a neuroscientist, engineer, or hybrid team working at this intersection, you already know the stakes. The applications span healthcare, education, gaming, and beyond. Founders who step into this arena will not only build companies: they’ll redefine what it means to be human in the AI era.
Geopolitics, supply chain fragility, and the new space race all demand faster, smarter solutions. Defense and aerospace aren’t waiting: they’re actively searching for AI systems that deliver real operational advantage.
From autonomous satellites to AI-driven ISR, from logistics optimization to cyber resilience, the opportunities are vast and urgent. Governments want dual-use technologies they can buy on shorter timelines, and enterprises want solutions that make complex systems safer and more reliable.
If you’re a founder with experience in defense, aerospace, or adjacent industries, you know the procurement grind is real. But you also know the budgets are massive and the impact is immediate. Build here, and you’ll be solving some of the hardest problems in the world with customers who are ready to pay for results.
Every kilowatt matters. AI demand is straining grids worldwide, while the climate crisis demands cleaner, more efficient energy. This is a space where breakthroughs don’t just create companies: they power nations.
AI can already forecast demand, optimize grid dispatch, and spot inefficiencies humans miss. In nuclear and fusion, it can help design safer reactors and accelerate experiments. In renewables, it can balance supply and demand in ways traditional systems never could.
If you’re a founder in energy or advanced physics, you know how critical this moment is. Governments and enterprises are desperate for scalable, AI-enabled solutions. The startups that solve these problems won’t just capture markets: they’ll power the future.
Ready to Build?
If one of these themes sparks an idea, or you’re already building in stealth, we want to hear from you. At Untapped Ventures, we back founders shaping Agentic and Convergence AI with the first check and deep conviction.
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