From healthcare and climate to robotics, education, and creative tools, AI is becoming connective tissue across industries. It’s not only accelerating the pace at which ideas become commercial products and services but fundamentally expanding what’s possible.
AI-powered innovations are on full display at the Harvard Innovation Labs. Here are 10 standout examples from current and former i-lab teams. Together, they offer a snapshot of where AI is headed next, and how founders in the Harvard community are helping to build that future across every industry.
Making Any Book Accessible to Every Reader
Adaptive Reader is using AI to make reading more accessible, personalized, and effective for students with diverse learning needs. Built to support readers who struggle with comprehension, focus, or processing speed, the platform adapts texts in real time – adjusting vocabulary, sentence structure, pacing, and presentation to match an individual reader’s abilities. The result is a more inclusive reading experience that helps students engage with complex material without lowering academic rigor.
Designed with learners at the center, Adaptive Reader demonstrates how AI can serve as an assistive layer rather than a replacement for traditional education. By meeting students where they are and dynamically responding to how they read, the platform helps unlock confidence, independence, and deeper understanding. Emerging from Harvard College, Adaptive Reader reflects a broader shift toward human-centered AI – technology that expands access to learning and ensures more students can fully participate in academic life.
Adaptive Reader was a $25,000 winner in the 2025 President's Innovation Challenge. Watch their one-minute pitch.
Intelligent Imaging + Insights for Dentistry
Overjet is bringing AI-powered precision to dentistry, a field where diagnosis and treatment planning have long depended on subjective interpretation. Using FDA-cleared artificial intelligence, Overjet analyzes dental X-rays to detect conditions such as cavities, bone loss, and periodontal disease with greater consistency and accuracy. The platform gives dentists a clearer clinical picture while helping patients better understand their oral health through visual, data-backed insights.
Beyond the dental chair, Overjet is also reshaping how dental care is evaluated and reimbursed. By applying AI to claims analysis and quality assurance, the company enables insurers and dental service organizations to assess treatment decisions at scale, improving transparency, reducing variability, and aligning care with clinical best practices. Overjet demonstrates how AI can elevate healthcare not by replacing professionals, but by strengthening trust, clarity, and decision-making across the entire system.
Seamless Material Research, Selection, and Documentation for Architecture and Design Firms
Acelab is modernizing one of the most overlooked yet consequential decisions in the built environment: how architects choose the materials that shape our buildings. Through its AI-powered Material Hub platform, Acelab brings intelligent search, real-time collaboration, and automated documentation to a process that has long relied on PDFs, phone calls, and fragmented spreadsheets.
By analyzing data from more than 150,000 building products and understanding nuanced, context-specific requests – such as performance needs, climate constraints, sustainability targets, and budget requirements – the platform acts as a 24/7 specification expert embedded directly into architectural workflows.
Today, more than 20,000 firms, including half of the top 100 architecture firms, rely on Acelab to guide millions of dollars in material specifications each month.
Transforming Public Sector Hiring
Holly is transforming how governments plan, build, and deliver infrastructure by bringing modern AI tools into one of the most complex and risk-averse sectors in the economy. The platform helps public agencies make smarter capital planning decisions by analyzing massive amounts of data – ranging from budgets and asset conditions to climate risk and demographic trends – so leaders can prioritize projects with greater confidence and transparency.
By turning fragmented public-sector data into clear, actionable insights, Holly addresses a core challenge facing governments at every level: how to invest limited resources in ways that are resilient, equitable, and future-ready. The result is faster, more informed decision-making that reduces waste, improves outcomes for communities, and helps governments adapt to mounting pressures from aging infrastructure and climate change.
Holly exemplifies how AI can modernize civic systems – not by replacing human judgment, but by strengthening it where it matters most.
Risk Lifecycle Management for the Built World
Enlaye is building an AI-native platform to help the built world do what it does every day—manage risk. Enlaye positions itself as an “AI Risk Assistant” for builders, developers, and owners, helping teams identify, assess, compare, and track project risk across the full lifecycle, from early planning through delivery. A key emphasis is usability and trust: Enlaye is designed to integrate into existing workflows, prioritize data privacy, and avoid “black box” outputs by letting users corroborate AI responses with sources
For developers and owners in particular, Enlaye targets the high-stakes work of controlling risk exposure and reducing avoidable costs—supporting better decisions around contracting, bid packages, and claims. The company also highlights integration with tools used in the field, including Autodesk Construction Cloud / Build / Docs, to sync project data and deliver real-time risk visibility and predictive insights across teams. Incubated at the Harvard Innovation Labs, Enlaye frames its mission simply: helping project actors deliver much-needed built-world projects faster by making risk management more intelligent and collaborative.
Tissue-Informed AI for Precision Therapeutics
PathCision Medicine is a biotechnology company using an AI-driven discovery engine built on tissue pathology insights to develop next-generation precision medicines for cancer and other diseases with unmet medical needs. By integrating machine learning, tissue pathology, and translational medicine, PathCision designs medicines based on how diseased tissue shapes drug response. Its discovery engine reveals how tissue architecture influences efficacy, enabling the discovery and development of medicines optimized for the tumor microenvironment and broader tissue microenvironment. This approach addresses a central challenge in oncology: increasing drug exposure in tumors while reducing toxicity in healthy tissues.
By transforming tissue pathology from a diagnostic tool into a foundation for drug design, PathCision is advancing a new approach to precision medicine. This tissue-informed platform has the potential to enable more effective treatments, improve patient outcomes, and expand treatment options.
End-to-End Legal Contract Intelligence
Evisort is redefining how organizations understand and manage their contracts using AI. Built to bring clarity to one of the most complex and overlooked sources of business risk and value, Evisort applies machine learning to extract, analyze, and monitor key terms across thousands of agreements. The platform gives legal, procurement, finance, and operations teams real-time visibility into obligations, renewals, and risks – without requiring contracts to be standardized or manually reviewed.
In 2024, Evisort was acquired by Workday, marking a major milestone for both companies and underscoring the growing importance of contract intelligence within the enterprise stack. Integrated into Workday’s platform, Evisort’s technology strengthens how organizations connect contracts to financial, HR, and operational data – turning static documents into living sources of insight. The acquisition reflects a broader shift in enterprise AI: moving beyond experimentation to deeply embedded tools that reshape how businesses operate at scale.
Returns Intelligence for Retail
Skiply is transforming how e-commerce retailers and marketplaces handle product returns – a trillion-dollar operational challenge that has long been slow, costly, and wasteful. The company’s AI-driven platform analyzes returned items at the individual product level, detecting worn, damaged, or counterfeit goods instantly so decisions can be made in real time. Instead of relying on manual inspection and guesswork, Skiply uses machine learning to surface quality-based insights and automate routing, helping retailers reduce processing costs and maximize resale value.
By turning returns into a strategic advantage, Skiply unlocks value across the supply chain while supporting more sustainable outcomes. The platform enables personalized returns workflows, automates policy validation before items even reach a warehouse, and gives retailers full visibility into return status from customer home to final disposition. In doing so, Skiply helps companies cut operational friction, recover more assets, and contribute to a circular economy where returns aren’t a cost center, but a source of insight and revenue.
Predictive Voice for Frontline Safety + Health
Vocadian uses voice-based artificial intelligence to proactively assess and predict fatigue risk in workers across safety-critical industries. By analyzing subtle patterns in just 30 seconds of speech, Vocadian’s platform generates real-time fatigue scores that act as predictive indicators of alertness, helping organizations anticipate and mitigate risk before incidents occur. This approach moves beyond traditional reactive fatigue management – such as self-reporting or sensor wearables – by providing objective, hardware-free insights that seamlessly integrate with daily workflows.
Designed for sectors like transportation, logistics, construction, mining, aviation, and healthcare, Vocadian
empowers teams to improve safety, well-being, and productivity by
enabling more informed decisions around scheduling, task assignment, and
worker fit-for-duty status. The platform’s predictive voice AI blends
circadian science, machine learning, and proprietary voice biomarkers to
deliver scalable risk management that can reduce accidents, enhance
compliance, and support a healthier workforce.
Next-Generation Neuro Navigation
Zeta Surgical is redefining precision in the operating room by bringing real-time, AI-powered guidance to cranial and neurological procedures. Its platform combines advanced computer vision, machine learning, and optical tracking to give surgeons “GPS-like” navigation during surgery – without the need for bulky frames or expensive fixed imaging infrastructure. By using artificial intelligence to map patient anatomy and track surgical instruments with sub-millimeter accuracy, Zeta enables safer, more efficient procedures in settings ranging from major hospitals to ambulatory surgery centers. The result is high-precision image-guided surgery that is more accessible, portable, and scalable than traditional navigation systems.
By
replacing complex legacy equipment with a compact, AI-native system,
Zeta Surgical addresses a core challenge in neurosurgery and
interventional care: how to deliver consistent accuracy while reducing
cost, setup time, and workflow friction. Its platform streamlines
preoperative planning, enhances intraoperative confidence, and expands
access to advanced navigation tools beyond elite academic centers. In
doing so, Zeta exemplifies how AI can elevate surgical performance – not by supplanting the surgeon’s expertise,
but by augmenting it with intelligent, real-time spatial awareness that
improves outcomes and broadens access to high-quality care.