NovaVMS
Vendor management systems are one of the most painful categories of enterprise software. The incumbents, Beeline, SAP Fieldglass, Coupa, were built in the 2000s and have barely changed since. They're slow, ugly, over-engineered for compliance and under-engineered for usability, and they cost a fortune to implement.
NovaVMS is our answer. A modern VMS for enterprise contingent workforce programs: supplier management, worker onboarding, timesheet and approval workflows, case management, and HCM integration, all in one system that doesn't feel like it was designed by a committee in 2004.
The AI layer in NovaVMS isn't a chatbot bolted on the side. It handles the parts of vendor management that are genuinely repetitive and rule-based: flagging compliance issues, matching workers to open requisitions, surfacing supplier performance anomalies, and routing approvals. The humans keep the judgment calls. The machine handles the pattern matching.
Nova Go
Revenue operations is a category that has exploded in the last five years and produced a lot of point solutions that don't talk to each other. Nova Go is our attempt at a unified RevOps platform: marketing, lead gen, sales, contracting, project delivery, client onboarding, support, and renewals, the full customer lifecycle in one configurable system.
It's built for 12 industries with a multi-tenant architecture that lets you configure the platform to your specific GTM motion without custom dev. CRM, comms center, project tools, client portal, and AI layer. One system instead of six.
The companies that are going to win with AI in the next three years aren't the ones with the most AI features. They're the ones that figured out which decisions should stay with humans and built the system around that constraint.
What we're actually thinking about
The honest version of where we think B2B AI is heading: most of the "AI-powered" SaaS products shipping right now will look dated within 18 months. Not because the AI is bad, but because they're bolting intelligence onto broken workflows instead of rethinking the workflows from scratch.
The products we find most interesting, including the ones we're building, start from the question "if an AI could handle 80% of this, what would humans actually need to do?" That's a different design challenge than "how do we add an AI assistant to this existing screen?"
The things we're watching
- Agent-to-agent communication, the moment multi-agent systems become reliable enough for production use in complex domains is when the category tips. We're close.
- Memory and context persistence, most current AI tools are stateless in practice. The ones that maintain genuine context across sessions will feel qualitatively different.
- Vertical depth over horizontal breadth, the general-purpose AI assistant is losing to the domain-specific one that knows your industry, your terminology, and your edge cases.
Both NovaVMS and Nova Go are in active development. If you're building in the workforce or RevOps space and want to talk, reach us at hello@fiolivlabs.com.
The lab keeps shipping. More soon.