Request for Startups (2026): What Startup Ignition Ventures Wants to Fund
We see hundreds of startups every year through our bootcamp, our venture fund, and our network. A handful of themes keep coming up — the types of companies we find ourselves leaning into, the problems we think are most worth solving right now.
This is what we want to fund.
It’s not exhaustive — we’ll always back exceptional founders in spaces we didn’t predict. But if you’re building something on this list and you have early traction, we want to hear from you.
Apply for Funding Apply to SIV Instant — we give real investor feedback in hours, not weeks and months. Tell Us About Your Idea →1. AI-Native Tools That Replace Expensive Professional Services
The opportunity: There are entire industries — legal, accounting, compliance, financial advisory — where the core work product is expertise applied to information. That’s exactly what AI is good at. The companies that win here won’t be AI wrappers on top of existing software. They’ll be AI-native systems that replace the $400/hour professional entirely for certain workflows.
We’ve already seen this play out. One of our portfolio companies in legal tech went from zero to $10 million in ARR in eight months. That’s not a SaaS growth curve — that’s a professional services market getting disrupted at the root.
What we want to see: A founder who deeply understands the professional workflow they’re replacing. Not someone who Googled “AI for lawyers” and spun up a ChatGPT wrapper. Someone who knows where the $400/hour is being wasted on work that doesn’t require human judgment. Build the tool, get paid pilots, and prove that customers cancel their retainer — not add another subscription.
Why now: AI capability has crossed the threshold where it can handle genuinely complex professional reasoning — not just summarization, but analysis, judgment, and document generation that professionals would sign off on. The window is open, but it won’t stay open forever. Incumbents are waking up.
2. The Connective Tissue Between Hardware and Software
The opportunity: There’s a massive gap between the physical world and the software layer that’s supposed to manage it. Sensors, IoT devices, industrial equipment, fleet vehicles — they all generate data, but getting that data into a format that’s actually useful requires middleware that mostly doesn’t exist yet.
We’re not talking about building hardware. We’re talking about the intelligence layer that sits between physical assets and the software systems that run businesses. The company that owns this translation layer in a specific vertical owns the customer relationship.
What we want to see: Founders building for industries where physical operations are still managed with spreadsheets, phone calls, or legacy SCADA systems. Think agriculture, logistics, construction, energy, manufacturing. If the data exists but nobody’s using it because the pipes aren’t built, that’s the opportunity.
Why now: Sensor costs are at all-time lows. Edge computing is mature. AI can now process unstructured physical-world data (images, vibrations, temperatures) in real time. The infrastructure is finally cheap enough to make this work at scale for mid-market companies, not just Fortune 500s.
3. Identity and Authentication for the AI Era
The opportunity: Here’s the question that matters most right now: How do you prove someone is who they say they are?
Not in the “enter your password” sense. That world is over. We’re talking about a world where a deepfake can impersonate your CFO on a video call. Where AI agents are making purchases, signing contracts, and accessing systems on behalf of companies — with no real framework for verifying who authorized them. Where the teenager in his bedroom has the same AI tools as the nation-state attacker.
The identity layer is the foundation everything else gets built on. Payments, access control, contracts, compliance — none of it works if you can’t answer the question “is this real?” Every company deploying AI agents needs to authenticate those agents. Every platform handling transactions needs to verify the human behind them. And the existing stack — passwords, SMS codes, knowledge-based questions — was built for a world that no longer exists.
What we want to see: Companies building the identity infrastructure layer, not another login screen. We want to see new approaches to proving humanness, authenticating AI agents acting on behalf of organizations, and securing the handoff between human intent and machine action. This is plumbing, not paint — the founders who win here will build something that other companies can’t operate without.
Why now: Deepfake fraud is already costing enterprises billions. Companies are deploying fleets of AI agents with no authentication framework — no way to verify what an agent is authorized to do, who it’s acting for, or whether its instructions were legitimate. The attackers have AI too, and they’re moving faster than the defenders. The asymmetry is growing every month. The companies that build the identity infrastructure for this new world will be as foundational as the companies that built the AI itself.
4. Application Layer AI (Built on Real Foundations)
The opportunity: For the last two years, roughly 70% of AI venture capital has gone to infrastructure — foundation models, compute, training pipelines. That was the right bet at the time. But the infrastructure layer is maturing, and the real value creation is shifting to the application layer.
The companies that win here aren’t building on top of shaky foundations. They’re building on top of mature, stable AI infrastructure and solving real customer problems with it. The difference between an application layer company that works and one that doesn’t is timing — you need the foundations to be solid before you build on them.
What we want to see: Founders who understand why their application works now when it wouldn’t have worked two years ago. Not “we’re using GPT to do X” — that’s a feature, not a company. We want to see applications that combine AI with proprietary data, deep domain expertise, or unique distribution to create something that can’t be replicated by a better prompt. If you’re not sure whether your idea has real merit, test it before you pitch us.
Why now: The foundation model wars are settling. APIs are stable. Costs are dropping. The infrastructure layer has been built. Now is the time to build the applications that sit on top of it — but only if you have a real moat beyond “we were first.”
5. Vertical SaaS Replacing Legacy Workflows
The opportunity: There are thousands of industries still running on software built in the 2000s — or on no software at all. Dental practices managing patient intake on paper. Construction companies tracking projects in Excel. Property managers communicating through text messages. These aren’t exciting problems. That’s exactly why they’re good businesses.
The best vertical SaaS companies don’t look sexy from the outside. They look like boring, domain-specific tools that handle scheduling, billing, compliance, and communication for a specific industry. But they have 90%+ retention, strong unit economics, and customers who will never leave because switching costs are enormous.
What we want to see: Founders who came from the industry they’re building for. Who have felt the pain firsthand. Who can name 50 potential customers by name and have already talked to half of them. We don’t want horizontal platforms trying to serve everyone. We want narrow, deep, opinionated software for a specific customer.
Why now: AI makes vertical SaaS dramatically more powerful. You can now build a product that doesn’t just organize data but actually does the work — drafts the invoice, writes the follow-up email, flags the compliance issue. The bar for what “software” means in a vertical has jumped, and most incumbents haven’t caught up.
6. Companies That Validate Before They Build
The opportunity: This one’s different. It’s not a sector — it’s a philosophy. And it’s the single biggest predictor of whether we’ll invest.
Steve Blank, the father of the lean startup movement, wrote something this year that stuck with us. He said there’s a new psychosis in entrepreneurship: founders can now spin up an MVP over a weekend, and the endorphin rush of seeing their idea come to life tricks them into thinking they have product-market fit. They skip validation entirely. They never talk to a customer. They go straight from “I built it” to “I need funding.”
We see this every week. A founder walks in with a polished demo, a slick pitch deck, and zero evidence that anyone will pay for what they’ve built.
What we want to see: The opposite. Founders who talked to 50 customers before writing a line of code. Who have paid pilots — not free trials, not LOIs, not “verbal commitments.” Founders who can tell us exactly which assumptions they’ve tested and which ones they’ve invalidated. Who pivoted once or twice because the data told them to.
We’re not looking for perfection. We’re looking for intellectual honesty. The founders who survive are the ones who build what the market actually wants, not what they wish the market wanted.
Why this matters to us: We built our entire bootcamp around this principle. We’ve trained over 1,000 founders on lean startup methodology. When a founder comes to us and says “I validated this with 100 customer interviews and here’s what I learned,” that’s not just a data point — it’s a signal that this founder knows how to build a company, not just a product.
How We Work
We’re not a typical fund. Here’s what working with us actually looks like:
Check size: We’re a sub-$1M fund by design. You can do more with less now than at any point in startup history — cloud is cheap, AI handles what used to take a team, and distribution channels are wide open. Raising too much too early means giving away more of your company than you need to, and half the time that extra capital just gets squandered on hires and spend that don’t move the needle. Our sweet spot is around $600K, up to $750K at pre-seed and seed. We lead most of our deals.
What we bring: We don’t just write a check and disappear. We get in the trenches for 1–2 years. We help you find product-market fit, build your team, and prepare for your next round. Our portfolio companies typically raise their next round at 4–5x the valuation we invested at.
Who we replace: Instead of raising $100K from Uncle Jim and a handful of unstructured angels who give bad advice and messy cap tables, come to us. We institutionalize your early capital and pair it with real mentorship from founders who’ve been through the entire journey — from first idea to IPO to exit. If you’re trying to figure out how pre-seed funding works, start here.
Traction bar: We’re not a pre-revenue fund. As a general rule, we want to see customers — paid pilots at minimum, ideally 5–50 customers with recurring revenue. The $35K–$85K MRR range is where we get most excited. Exceptions exist for high-conviction founders we’ve built a relationship with, but the bar is real.
Geography: We invest nationally. About 75% of our current portfolio is in Utah, but we’re actively expanding — our bootcamp now runs in Miami, Los Angeles, and Dallas.
Get in Touch
If you’re building something on this list — or something we should add to it — reach out. We respond to every founder who has real traction and a clear thesis.
If you’re earlier and still figuring things out, start with our bootcamp. It’s the fastest way into our ecosystem, and many of our best investments started there.
Apply for Funding Apply to SIV Instant — we give real investor feedback in hours, not weeks and months. Tell Us About Your Idea →
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