Top 5 Healthtech Startups Revolutionizing Healthcare in Boston

Boston is a city renowned for its rich history in innovation, particularly in the healthcare sector. With the Longwood Medical Area home to more than 46,000 scientists, researchers, and staff, and over 21,000 students training across institutions and hospitals, the city has a built-in engine for turning medical research into real-world care.

Beyond Longwood, the broader Boston area includes 25 hospitals and 20 community health centers, and with the region consistently ranking among the top U.S. cities for NIH funding, it keeps attracting the talent, research programs, and partnerships that push healthcare forward.

This mix of research depth and clinical scale creates the right conditions for healthtech startups: companies that build products to make healthcare data more usable, workflows more efficient, and care more consistent.

In this article, we’ll look at five of the most promising Boston healthtech startups and how each one is reshaping what healthcare can look like over the next few years.

#1 Zus Health

Founded in 2020, Zus Health is building a shared health data platform that helps care teams access patient information right at the point of care, through APIs, embedded components, and direct EHR integrations, helping organizations consolidate data that typically lives across multiple systems.

In many healthcare settings, clinical teams still spend a lot of time chasing prior records before an appointment, often through manual workarounds. Zus addresses that with the Zus Aggregated Profile (ZAP), a patient profile designed to help teams get up to speed quickly on a person’s history and stay updated as new events occur.

Through ZAP, organizations can surface patient data drawn from 70K+ provider organizations and 270M+ patients nationwide, including conditions, medications, labs and diagnostics, encounters, documents, allergies, and more. ZAP also refreshes as new information becomes available, helping teams respond faster to time-sensitive updates such as hospitalizations or medication gaps.

The result is both clinical and operational: teams spend less time gathering history information, decisions are made with better context, and organizations improve care quality and performance while reducing avoidable friction for both clinicians and patients.

#2 Overjet

Overjet is one of the clearest examples of “Boston healthtech” translating AI into a day-to-day clinical workflow. Developed at the Harvard Innovation Labs in 2018, with IRIS, its AI-native imaging software, the startup analyzes dental X-rays and highlights findings like tooth decay and periodontal bone loss in a way that’s easier to measure, explain, and act on.

What makes it compelling is that it doesn’t stop at imaging. Overjet’s tools are built to support clearer case presentations and more consistent decisions. Beyond IRIS, that includes Dental AI Assist (automated X-ray analysis and measurements), insurance verification and a voice suite that reduces administrative work around visits.

Backed by FDA clearances, Overjet’s approach has also shown up in customer results, including 25% higher care acceptance and 20 hours saved per week on insurance verification.

More recently, Vision Dental Partners selected Overjet as its exclusive AI partner in January 2026, reflecting how quickly AI imaging is becoming part of the standard workflow in growing dental groups.

#3 Layer Health

Layer Health tackles one of healthcare’s most time-consuming jobs: chart review. Medical records are long and fragmented, and extracting the right facts for reporting and operational workflows is still largely manual. Layer applies large language models (LLMs) to automate data abstraction, reading across the chart and pulling out the clinical details teams need for quality reporting, registries, and operational reviews.

In practice, the impact can be significant. At Froedtert & the Medical College of Wisconsin health network, Layer streamlined quality data abstraction and reduced the time required by more than 65%, allowing staff to shift effort toward higher-value work.

Looking ahead, Layer is positioning chart review as the starting point, not the end goal. The team has described plans to bring the same capability to clinicians at the point of care through real-time decision support that can help automate clinical care pathways. Additional modules under development aim to support hospital operations and revenue cycle workflows, including CDI and medical coding, with the longer-term vision of an enterprise “AI layer” that spans departments and compounds ROI over time.

In March 2025, Layer raised $21 million in Series A funding, led by Define Ventures with participation from Flare Capital Partners, GV, and MultiCare Capital Partners, to scale the platform and grow the team.

#4 CodaMetrix

CodaMetrix grew out of a homegrown solution built inside the Massachusetts General Physician Organization's billing office to handle complex, multispecialty coding cases. Founded in 2019, the company spun out with the goal of helping other health systems turn medical coding from a persistent operational drag into something closer to infrastructure.

At its core, CodaMetrix automates the work of translating clinical documentation into the billing codes that drive reimbursement. This is one of the biggest operational bottlenecks in the revenue cycle, and it’s also where small inconsistencies can lead to delays, denials, or rework. Through its CMX CARE platform, CodaMetrix applies AI to interpret both structured and unstructured clinical data and support consistent coding at scale, using a “code once, use many” approach that can also support downstream needs like quality and research.

This approach has earned external validation, with the startup being named by KLAS Emerging Solutions as the No. 1 solution for cost of care reduction and associated results including 50% lower coding costs, 70% less manual coding, and up to 60% fewer coding-related denials.

In March 2024, CodaMetrix raised a $40M Series B led by Transformation Capital, with participation from SignalFire and Frist Cressey Ventures, to keep scaling the platform.

#5 Cascala Health

Cascala Health is built around the belief that the handoff is the heartbeat of healthcare. Care transitions (from hospital to home, between specialists, or across post-acute settings) are still some of the most fragmented moments in the patient journey, where missing context and rushed communication can lead to avoidable risk and duplicative work.

Cascala tackles this by using a clinically informed knowledge stack with LLMs to produce enhanced discharge summaries, dynamic risk scores, and condition-specific care plans. The platform is organized around three pillars, Clarity, Continuity, and Copilot, that curate and summarize what matters, maintain a longitudinal view with risk scoring, and activate recommendations inside the workflow, without requiring teams to leave their existing systems.

The company is already operating at meaningful scale, reporting deployments across 1,000+ acute and post-acute facilities supporting 300,000+ patients, with tools that also extend into primary care teams. To support continued growth, it has raised an $8.6M seed round in August 2025, led by Flare Capital Partners and Eniac Ventures.

Boston’s Healthtech Outlook

Boston has become a leading hub for healthtech, with startups that are already translating research and clinical insight into products used across the healthcare system. 

The companies emerging here are well positioned to shape what healthcare looks like next, especially as the industry pushes for better data, more consistent care, and less operational friction. 

If the next chapter of healthtech is about solutions that actually fit day-to-day healthcare, Boston is likely to stay at the center of it.