Top Software Startups in North America

LH2 AI Labs is building the post-training infrastructure for frontier AI. We connect private, high-quality institutional datasets and vetted domain experts to the pipelines of frontier AI labs and enterprises, across coding, computer use, agentic workflows, medical, audio, and company operations. Frontier models have already learned from most of the public web. The next capability gains will come from data and environments grounded in real production work: tasks with meaningful state, reliable verification, realistic tools, and reward signals that can't be easily gamed. That's the problem we're built to solve. Most of our work sits in post-training: supervised fine-tuning data, preference data for RLHF, RL environment construction, and domain-specific evaluations that expose real failure modes. We also supply pre-training data where what's needed is genuine distributional novelty rather than scale. Our vision is to make high-quality post-training data as readily available to frontier models as compute is today. We're founded by second-time founders who have built and sold companies before, and we're based in Bengaluru. We're hiring engineers and researchers to build RL environments, model-breaking tasks, and evaluation systems. This is a chance to join early and shape how the next generation of AI models is trained.

Managed IT Services (MSP, MSSP), Cloud Services, Cyber Security: IT Support, Networking, Security, Email, Encryption, Websites

At MM Nova Tech, we’re building technology that helps real estate businesses work smarter, stay organized, and grow. Our team has built Nova CRM, a SaaS CRM platform specifically designed for the real estate industry. Nova CRM brings lead management, client relationships, follow-ups, sales activities, and day-to-day CRM needs into one platform, helping real estate professionals manage their business more effectively. We’re a growing technology company with a strong focus on building practical, user-focused solutions for the real estate market. As we expand, we’re looking for people who are excited by the opportunity to join a growing SaaS business and have a direct impact on its growth. Joining MM Nova Tech means being part of a team where your ideas, initiative, and results matter. You’ll have the opportunity to work closely with our product and business teams, contribute to our U.S. market expansion, and help take Nova CRM to more real estate businesses. If you’re excited about SaaS, technology, and building something with real impact, we’d love to have you grow with us.

We believe in hiring exceptional, motivated talent, and bringing the best the world has to offer you at a fraction of what you’re currently paying for staff now. We do this by finding the best person to fill the seat on the bus you need at the best compensation possible for both you and them. Basically, they’re paid above-average wages for their work. We focus on talent from the Philippines because of their fluent English and highly skilled and available workforce with a culture of excellence, high work ethic, and strong personal values. We learned from the pandemic that we don’t need to be constrained by the walls of our offices, or bounded by the geography of where we live.

AI capabilities are spreading across companies faster than anyone can keep track of them. Teams are creating prompts, skills, instructions, agents, workflows, and tools across different models, repositories, and platforms, often with no shared view of what exists or which version people should actually use. Commonset gives organizations one place to see what AI capabilities exist, who owns them, where they came from, what changed, and which ones the organization actually trusts and uses. We’re building the management layer between the models and the organization: model-agnostic infrastructure for discovering, governing, distributing, and reusing AI capabilities without tying them to a single vendor. We’re early, moving quickly, and looking for people who want to help shape both the product and the company.

Ennote was founded by cloud security architects with over a decade of experience designing secure, distributed infrastructure environments for global enterprises across AWS and GCP. Across every architecture a pervasive vulnerability continuously emerged: engineering teams, faced with the overwhelming operational overhead of legacy vaults or the manual friction of unencrypted configurations, frequently bypassed approved systems to drop raw environment files directly into Slack channels and CI/CD code pipelines. This trend is not an operational discipline problem; it represents a fundamental platform architecture failure. When legacy security tooling slows down shipping velocity, developers inevitably bypass it entirely. For too long, the industry has forced companies into a binary choice: bureaucracy or chaos. Legacy vaults are powerful but require dedicated DevSecOps teams to configure and maintain. Conversely, simpler developer-focused utilities are user-friendly but lack native, real-time infrastructure automation delivery. This trade-off becomes exceptionally critical in the modern AI era, where the explosive growth of automated workflows, LLM pipelines, and machine identities demands a unified approach to security. Ennote eliminates this friction entirely. By seamlessly uniting human collaboration with Kubernetes-native machine automation, the platform establishes a single standard for enterprise secret governance. It fuses an intuitive team password vault for human workflows with a push-based, outbound-only gRPC engine that streams credentials directly into container runtime states in less than one second. This unified ecosystem bridges the gap between organizational identity and machine infrastructure, protecting all credentials under a verifiable, client-side encrypted, post-quantum zero-persistence architecture.