Top Enterprise Software Startups in United States

There is a $2T backlog of legacy enterprise systems blocking AI adoption. It's humanly impossible to clear manually. At Gallop Intelligence, we are building AI agents to modernize these systems for Fortune 500 companies. We are founded by veterans from Lovable, Google, and Amazon, and we are moving fast.

SpendAi is a procurement intelligence startup which uses AI to organize procurement data for downstream consumption of AI agents. Our product turns fragmented procurement data into trusted procurement intelligence, giving our customers the clarity to identify opportunities, execute confidently, and sustain value over time. See more at spendai.com

We operate with the agility and energy of a high-growth scale-up, but we are backed by the stability and resources of Indeed - the world’s #1 job site. This gives us a unique advantage: the freedom to innovate at speed, with the muscle to dominate the market. We’re helping people get jobs by modernising the world of temporary work. At Indeed Flex, we provide our community of "Flexers" with total control, choice, and ownership over how they work. Through our evolving technology, we’re putting the power of work in the palm of people's hands—connecting businesses with skilled, vetted talent and giving job seekers the fastest way to find shifts that fit their lifestyles. This platform helps businesses scale their workforce efficiently during busy periods without long-term commitment or administrative hassle. Whether it’s hospitality, retail, or warehousing, we’re building a more flexible, efficient, and empowered labour market for everyone.

SaaS was built for people sitting behind desks. We’re flipping that script. The Mobile-First Company builds software that’s: Mobile-first – activated and run entirely from a phone, no dusty dashboards. AI-native – intelligence baked in from line 1, not bolted on as a “feature.” Consumer-grade – as snappy as TikTok, as clear as FaceTime. Creator-distributed – we grow through builders, influencers and founders, not boiler-room sales. Field-proven – designed for people who work in vans, cafés or job sites, not cubicles. First product: Allô, the AI business phone: withallo.com Why now? 65 % of U.S. SMB owners already run “almost everything” on mobile, yet most B2B software still assumes a laptop. Phones are the new point-of-sale, back office and help desk—AI makes them even smarter. We’re hiring builders

Aktivate is a rapidly growing Series A startup revolutionizing the way K-12 public schools' athletic departments manage their operations. With a cutting-edge SaaS platform, we streamline and enhance the efficiency of athletic departments, driving better experiences for students, parents, and administrators. Backed by $14MM in equity capital from top venture funds, we are on a mission to transform youth sports management.

We're a global team that helps businesses grow through lead generation and appointment settings. Basically, we help connect clients with the right people using smart strategies, tech, and a whole lot of teamwork. We’ve got team members from all over the world, and we really value diversity, collaboration, and clear communication. The goal is to create long-term relationships with our clients while delivering

IR Labs is an applied AI studio and a venture of Integrated Research Limited. We build products where AI meets hard engineering problems, and we run them as real businesses. Our first product, Agentic SQA, is live. It investigates pull requests in C codebases and reports likely defects with evidence: the suspected failure mode, the exact scope and the next step. When nothing clears the bar, it stays silent. It runs on real repositories today, it is generally available and customers pay for it. It was built for the hard layer. Kernel modules, device drivers, firmware, embedded targets and the C libraries everything else stands on. The code where a bad merge costs weeks, not minutes. AI solved writing code. Trusting it is the harder problem, and verification is the scarce layer. That is the company. We are a small senior team, US based and fully remote, working in cross-functional squads across AI and ML, data infrastructure, systems, compiler engineering and product. We look for deep technical ability, strong systems judgment and a bias toward proving ideas in working systems. We are comfortable being wrong fast and changing direction when the data says to. Before you talk to us, use the product. Form your own view. Every conversation we have starts with what you saw.