Sola (Sola Solutions Inc.) builds an AI-native automation platform aimed at the back-office and regulated-industry workflows that traditional robotic process automation never fully solved. Where legacy RPA requires brittle, hand-coded scripts that break whenever a web portal or desktop application changes, Sola's agentic bots are taught by demonstration: an operator records a process once, and the system uses LLM reasoning plus computer vision to understand the intent behind each step. The result is automation that can recover from errors, adapt to UI drift, and continuously improve rather than silently failing.
The company targets operational analysts, compliance leads, and finance teams in sectors such as insurance, financial services, healthcare, and logistics, where high volumes of manual data entry, reconciliation, and document handling create real cost and risk. Because Sola can drive any application a human can use, including systems behind logins and without public APIs, it slots into existing enterprise stacks without lengthy integration projects.
Sola was founded in 2024 and went through Y Combinator. It first raised a seed round led by Sarah Guo's Conviction before quickly following with a larger Series A. Investors have been drawn to the thesis that agentic automation can finally capture the long tail of processes that were too dynamic or too expensive to automate with older tooling.
The platform emphasizes governance and auditability, important for the regulated buyers it courts. Each automation produces a transparent record of the steps taken, and human reviewers can stay in the loop for sensitive actions. This combination of self-healing execution and oversight is central to Sola's pitch that it can scale automations safely across an enterprise.
With demand for measurable workflow replacement rising in 2025 and 2026, Sola sits in a competitive but well-funded category alongside other agentic automation startups. Its differentiation rests on ease of authoring, resilience to change, and a focus on back-office operations rather than generic agent frameworks.