Trends

Trends we track

With a successful track record in AI, fintech, and digital health, the team at Canvas has unique access to deals and the ability to help founders scale quickly. We believe concentrating on verticals makes us better partners to entrepreneurs. We leverage our domain expertise and our deep network of executives to build enduring companies that the world actually needs. Here are the trends we’re currently tracking closely. Building something in or around one of these spaces? We’d love to hear from you.

The Defining Tech Platform for the Next 30 Years

Like the internet, cloud computing, and mobile, the newest wave of AI opens up expansive frontiers and disruption opportunities. While AI isn’t a novelty, recent model enhancements combined with advanced processing capabilities have unlocked a range of applications, from incremental to revolutionary. Developers and researchers continue to push the boundaries in areas such as computer vision, natural language processing, and robotics. And synthetic biology, chemistry, mathematics, and game theory are just a few compelling sectors that are leveraging the scale provided by ‘foundation models’ that can be fine tuned or specialized to more specific applications. In this AI landscape, a unique dataset, a strong customer base, and an effective market strategy stand out as essentials in a company’s ability to scale.

Refactoring the Enterprise

Structural inefficiencies and vertical fragmentation across all aspects of the financial system—lending, insurance, proptech—create a sub-optimal experience at best, and a detrimental debt cycle at worst, for consumers. Fee compression and shifts in passive investing trends have asset managers looking for differentiated and efficient ways to distribute investments.

In this landscape, every company is a fintech company. We’re closely tracking the continued evolution of the banking core, watching those taking advantage of slower incumbents to innovate and enabling companies to offer fintech functionality in-house from core banking to mortgage servicing and portfolio management—building differentiated proprietary datasets along the way. In particular, we’re interested in companies pursuing opportunities to automate the financial back-office, developing consumer-friendly insurtech experiences, and ensuring rapid-fire compliance, KYC & AML, powered by machine learning.

Driving Efficiency and Accountability and Getting to the Root Cause via Functional Medicine

We’re at an inflection point in healthcare—data silos are being broken, with an accelerated directive to modernize driven by COVID-19. Adoption of telemedicine has swiftly advanced and telehealth visits are surging. And while both doctors and patients largely see value in virtual encounters, a host of new needs arise. Patient-initiated diagnostics flip the physician/patient dynamic and present an opportunity to build new diagnostic workflows.

The unbundling of the traditional health care “stack” opens up the potential introduction of Services as API, outsourcing business-critical functions that are outside of healthcare providers’ core competencies. And troves of highly valuable data must be structured, standardized, and made secure and compliant.

We’re most excited about healthcare plays working within the existing healthcare system to help with the standardization of healthcare processes, healthcare data and ultimately reduce waste within the healthcare ecosystem to provide fundamentally better patient experiences and make it easier for our hard-working doctors and nurses to do their mission-critical jobs.