Finding the AI Thrivers

The AI era is not a rising tide that lifts all boats. For enterprise software, it is a sorting mechanism — one that will separate companies with structural advantages from those that will struggle to remain relevant. We call the winners Thrivers: companies with such deep data gravity and mission-critical workflow penetration that AI doesn't threaten them — it amplifies them. The Thriver framework is the analytical lens through which Covalent evaluates every investment opportunity, and it begins with a simple but powerful question: does this company get more valuable as the models get smarter?

At Covalent, we evaluate every potential investment through two primary dimensions. The first is Data Gravity — the richness, depth, exclusivity, and trainability of the proprietary data a company generates simply by operating. A company with high data gravity produces exhaust data as a byproduct of its workflows: think inspection logs, field records, transaction histories, and compliance filings accumulated over decades. This data is not replicated by a competitor, not easily purchased on a third-party marketplace, and — critically — it improves AI model performance in ways that general-purpose training cannot. The second dimension is Workflow Surface Area — the breadth, criticality, and switching costs embedded in the workflows a platform owns. A platform with high workflow surface area has become the system of record for an entire business operation, from field to finance. It is the last thing a customer turns off and the hardest thing to migrate away from. Together, these two dimensions define where a company sits on the Thriver Matrix.

The 2×2 matrix tells the full story. Utilities hold valuable data but lack workflow lock-in — they are at risk of being disaggregated or replaced by AI-native data platforms. Specialists own niche workflows but lack the data volume to fine-tune meaningful intelligence — they face encroachment from horizontal AI players. Survivors score low on both dimensions — vulnerable to displacement from below by AI-native entrants and from above by incumbent platforms expanding their scope. Thrivers sit in the top-right quadrant: data-rich, mission-critical, deeply embedded. They are typically found in verticals where regulation, operational complexity, and decades of accumulated workflow logic create barriers that a general-purpose AI cannot easily replicate. These are the companies Covalent targets — and the ones we believe will define the next decade of enterprise software value creation.