Participated · Series A · May 2019

Mightier offers a clinically validated at-home video game system that pairs games with biofeedback and evidence-based coping strategies to help children build emotional resilience. The technology was developed by clinicians at Boston Children’s Hospital and Harvard Medical School and is led by CEO Craig Lund. Since launching in 2018, Mightier has helped over 50,000 families, addressing issues such as anxiety, tantrums, ADHD, ODD and ASD. The company plans to use new funding to expand its team and scale its technology to reach more children. It also intends to push further into the healthcare industry via a strategic partnership. Financially, Mightier has raised a total of $29M to date. Mightier is a Boston-based video games program developed and tested at Boston Children’s Hospital and Harvard Medical School that helps children aged 6–14 cope with emotional regulation issues including ADHD, anxiety and anger. Its games use a heart rate monitor so kids can see what they are feeling in real time and practice regulation skills. The current library comprises 25 games and the app has been used to play more than 2.5 million games. Three clinical trials conducted with Boston Children’s Hospital and Harvard Medical School showed that after 12 weeks on the platform children manage their emotions better and parents report less stress. Led by co-founder and CEO Craig Lund, the company raised USD$250k in funding. Mightier intends to use the funds to expand operations and broaden its business reach. Mightier, founded in 2016 out of Boston Children’s Hospital, offers a library of 25 bioresponsive video games designed to treat behaviors associated with emotional dysregulation in kids aged 6–14. The company partners with video game developers and adds a Mightier emotional-learning layer to keep children engaged while teaching regulation skills. Commercially launched in July 2017, Mightier delivers its product via an app (iPhone and Android) paired with a heart-rate monitor and clinician coaching. It offers a starter plan (monitor, app, introductory coaching, progress tracking, parent resources and a private community) and a foundation plan (dedicated tablet, whole-family access and monthly licensed-clinician coaching). To date more than 2.5 million games have been played on the Mightier app. After the Series A, the company has raised over $10.1M and intends to use the new funds to grow product, marketing and engineering teams and to invest in consumer acquisition and engagement strategies. Mightier develops bioresponsive video games and a wearable heart-rate monitor (the Mighty Band) that teach children emotional regulation by making games respond to changes in heart rate. Its product includes the Mighty Band, the Mightier app and game library, six 30-minute coaching sessions, an online hub to track progress, and a private parent community. The company’s current library contains 15 games and it works with external video-game developers to expand offerings. Developed and tested over seven years at Boston Children’s Hospital and Harvard Medical School, Mightier commercially launched in July 2017. The company plans to use the new funding to quadruple its team, expand the game library from 15 to more than 25 titles, and conduct additional clinical research at Massachusetts General Hospital.

Participated · Series A · Dec 2018

Forge.AI is an artificial intelligence platform that transforms unstructured information into structured, machine-ready data. It leverages natural language understanding technologies and a proprietary dynamic self-learning knowledge graph to convert text-heavy public content—news, social media, financial reports and SEC filings—into knowledge-rich, structured event feeds. Data science and engineering teams then apply those event feeds directly into analytical decision-making processes and infrastructure. The company is initially focused on financial services and the public sector, and financial institutions such as The Vanguard Group use its platform. Forge.AI was co-founded in 2017 and is based in Cambridge, MA. The company plans to accelerate hiring, product development and go-to-market activities following the raise.

Participated · Seed · Apr 2017

Tomorrow.io positions itself as the world's leading Resilience Platform, combining a proprietary satellite constellation with a generative AI–integrated forecasting engine to deliver weather intelligence. The company says it operates a fully operational proprietary satellite constellation and leverages next-generation space technology, advanced AI, and proprietary weather modeling. Tomorrow.io is deploying DeepSky, described as the world's first AI-native weather satellite constellation, and aims to expand its space-based observation network. Its platform is used to provide real-time, actionable resilience intelligence and is trusted by six of the top ten Fortune 500 companies. The company has been recognized as a TIME 100 Most Influential Company and a Fast Company Most Innovative Company. The recent expansion of its Series F to $210 million is intended to accelerate its AI capabilities and further develop its agentic platform.

Participated · Seed · Jan 2017

TellusLabs builds geospatial analytics tools that analyze medium- and coarse-resolution satellite imagery plus ground-truth to produce daily forecasts for corn and soybean output. Its beta model produced daily forecasts that finished the year exactly on the USDA estimate for soy and within 1% of the USDA estimate for corn. The company relies on NASA data sets such as MODIS, which are updated multiple times per day, and captures 36 spectral bands per pixel rather than owning imaging hardware or proprietary imagery. TellusLabs intentionally avoids heavy deep-learning approaches and focuses on constructing a clean features database informed by plant biology. The team aims to provide faster, more granular local insights than competitors and believes cube-satellite data will take 5–7 years to be mature enough for reliable models. Competitors mentioned include Orbital Insight and Descartes Labs, which are securing high-resolution imagery partnerships with providers like DigitalGlobe and Planet Labs.

Participated · Seed · Feb 2016

Elemental Machines develops a LabOps intelligence platform that combines universal cloud-based dashboards with physical sensors to collect and unify asset, metric, and location data across laboratories. The platform enables seamless data collection, sharing and reporting for research, clinical, and quality control operations. The company supports over 500 life sciences customers worldwide. Elemental Machines plans to use new funding to accelerate commercial growth across research, clinical, and quality control LabOps segments. Management positions this opportunity within a growing $60 billion market. The company is led by founder and CEO Sridhar Iyengar, PhD and is based in Cambridge, MA. Elemental Machines offers a cloud-based platform that collects and visualizes critical lab data to improve experimental reproducibility and simulate experiments. CEO Sridhar Iyengar likens the technology to X-Ray vision in the lab, enabling researchers to interpret results in the context of how they were collected. The company aims to reduce time and costs in drug research by speeding discovery and identifying better experimental methods through data-driven simulation. Its team includes scientists with wearables and data analytics experience who previously built Misfit (sold to Fossil) and consumer health company AgaMatrix. Elemental Machines quietly launched almost a year prior to the article and reports contracts with about 30 companies, including Lab Central. Iyengar says the software has anecdotally reduced research time by six months or more for some customers.