Top Tech Startups to Work For in 2026

Kombo (YC S22) is building a unified API for HR, payroll and recruiting systems that saves engineering teams hundreds of hours by needing to integrate only one API instead of 50+. We raised $8M+, hit strong product market fit (0-> $4M+ ARR in 2-years) and are processing the equivalent data of ~10% of Germany's workforce. Culturally, we are looking for ambitious yet kind builders - we like to describe ourselves as a "SF startup but in Berlin".

When we say that Recover is "execution Infrastructure", we mean that the platform we've built enables the completion of a restoration or remediation project. These are generally insurance losses that stem from fire, water, mold, or storm damage to residential or commercial properties. These projects involve adjusters, homeowners, contractors, subcontractors, inspectors, mortgage companies, and sometimes HOA's. They're large, complex, and require extensive compliance-focused documentation. We bought and run a restoration franchise for the purpose of understanding how the system is broken, because living the job challenges every day was the only way to design a system replacement.

Marloa is building AI workers that help businesses automate customer interactions and operational workflows. Today, businesses rely on dozens of disconnected systems — CRMs, ERPs, calendars, booking platforms, communication tools and internal software. Employees spend large amounts of time manually coordinating between these systems and handling repetitive customer interactions. We are building AI systems that can understand business processes, communicate with customers, take actions, and work alongside existing software. Our first focus is customer-facing AI — including voice agents, intelligent assistants, and automation systems that help companies improve customer experience while reducing operational workload. The long-term vision is to build the intelligence layer that sits between businesses, their software, and their customers - making companies more efficient through AI. We are an early-stage team building from the ground up. Every person joining Marloa has the opportunity to directly shape the product, technology, and company direction.

Water is building AI that helps people accomplish goals, not just answer questions. Most AI systems are designed to follow instructions. They wait for the user to decide what to ask, what matters next, and what should be done. Water starts somewhere different: the goal. Tell Water what you want to accomplish. It builds the path, understands your progress and context, determines what matters next, and helps execute the work across AI, software, and people. The result is a new interface for getting things done: instead of managing prompts, tasks, workflows, and agents, the user focuses on the goal while Water helps direct the journey. We are starting with founder/operators — people with ambitious goals, small teams, and too many tools competing for their attention. The MVP is approaching launch, and we are building the initial founding team around a larger thesis: AI should not just be capable of doing almost anything. It should help people determine what is actually worth doing.