NovaScan is a Chicago-based clinical-stage oncology company building low-cost, point-of-care devices that detect cancer in real time. Its platform pairs spectral bioimpedance with machine learning around a single biophysical signal - the Cole relaxation frequency, which differs by orders of magnitude between cancerous and healthy tissue. Two lead products, nsCanary for assessing biopsy cores and MarginScan for checking surgical excision margins, aim to deliver answers in seconds instead of the days that conventional pathology can take.
Ottometric is a Waltham, Massachusetts software company that uses AI to automate the validation and training of Advanced Driver Assistance Systems (ADAS) and autonomous-vehicle software. Its platform distills petabyte-scale, multimodal sensor data into decision-ready KPIs, cutting validation cost and time by more than half for the Tier-1 suppliers and OEMs that build the cars' eyes and reflexes.
Sirqul is a Seattle-based platform company that turns scattered IoT signals into engagement. Founded in 2013 by AWS technical co-founder Robert Frederick, its Intelligence-of-Things 'Engagement-as-a-Service' platform bundles dozens of APIs, customizable native app templates, smart-mesh networking, and edge-plus-cloud analytics so businesses can launch connected experiences - across retail, venues, healthcare, and logistics - in weeks instead of years. More recently the company has folded agentic AI and edge devices into its AIE platform.
Totus Medicines is a clinical-stage precision medicines company in Emeryville, California, building covalent small-molecule drugs against historically undruggable targets. Its AI-powered OmniDEL platform screens billions of DNA-encoded covalent candidates against thousands of targets inside living cells, surfacing molecules that older methods miss. Its lead program, TOS-358, is the first and only covalent PI3Ka inhibitor in clinical development, showing class-leading tolerability and strong disease control in breast, endometrial, and head & neck cancers.
TurbineOne builds Mission-AI for the frontlines. Its flagship Frontline Perception System (FPS) puts machine learning directly on the sensor at the tactical edge - no cloud, no coding, no connectivity required - so warfighters can detect, identify, and act on threats in real time. Founded in 2021 by Navy veteran Ian Kalin and former Amazon engineer Matt Amacker, the company is deployed across all branches of the U.S. military and reached a roughly $300M valuation with its 2025 Series B.
Axion Ray (operating as Axion) builds an AI 'observability command center' that helps the world's largest manufacturers catch product quality and safety problems months before they turn into recalls. Founded in 2021 by former McKinsey AI strategist Daniel First, the company fuses fragmented, unstructured field data - service tickets, dealership notes, call-center transcripts, sensor telemetry - into early-warning intelligence for engineering teams. Backed by Bessemer Venture Partners, RTX Ventures, Amplo and Inspired Capital with $25M raised, Axion works with manufacturers across aerospace, automotive, medtech and consumer goods.
Beacon Biosignals is a Boston-based neurotechnology company that pairs FDA-cleared wearable EEG hardware with AI to turn brain electrical activity - especially during sleep - into scalable, at-home neurodiagnostics. Its platform powers drug development, clinical trials, and precision medicine across neurology, psychiatry, and sleep medicine.
Inductive Bio is a New York-based AI company building a machine learning platform that predicts how small-molecule drugs will behave in the body before they are ever synthesized. By training models on a pre-competitive data consortium shared across biopharma teams, its Beacon models, Compass software, and Indy chemistry assistant help medicinal chemists nominate better development candidates faster - reducing the costly 'whack-a-mole' of balancing potency against ADMET properties in preclinical drug discovery.
Anand Tharanathan is Group Vice President and Global Head of Product Research and Insights at ServiceNow, where he leads end-to-end user research and AI trust initiatives for one of enterprise software's fastest-growing platforms. With a Ph.D. in Experimental Psychology, an MBA from Northwestern's Kellogg School, and a career that runs from Honeywell's aerospace labs through Facebook to the frontier of enterprise AI, he bridges rigorous science and product craft at scale. His current focus on building trust in generative AI systems puts him at the intersection of human factors research and the most pressing question in enterprise technology.
Jon Alexander is a technology professional at Google, one of the world's most influential technology companies. Based in Woodinville, Washington, he works within Google's vast ecosystem spanning cloud infrastructure, AI, software development, and internet services. His LinkedIn handle 'jonpalexander' and presence on Twitter reflect an individual embedded in the cutting edge of modern technology, operating from one of the Pacific Northwest's growing tech communities near Seattle.
Mala Anand is Executive Vice President and Chief Customer Experience Officer at Microsoft, leading the Customer Experience & Success division. A 25-year technology veteran who immigrated from Mumbai at 17 on a Rotary Youth Exchange Scholarship, she has shaped enterprise software at Cisco, SAP, and Microsoft, driving AI-powered transformations that measurably improve how customers get support. She is also executive sponsor of Women at Microsoft and an independent board director at Agilent Technologies.
Muneeza Zaidi is VP of Product Strategy and Growth at Microsoft, where she leads cloud ecosystem strategy and AI for Security initiatives. With over 12 years spanning Microsoft, AWS, and Splunk, she has shaped product direction at some of tech's most influential companies. A guest lecturer at Stanford's CS229 machine learning course and a vocal advocate for women in technology, she brings a rare blend of financial modeling rigor and ecosystem-scale thinking to her work.
Prachi Gupta is VP of Engineering at Google, leading the Workspace Communication & Time Management portfolio - Gmail, Chat, Calendar, and Tasks - for hundreds of millions of users worldwide. A graduate of IIT Roorkee and Ohio State University, she spent over eight years as VP of Engineering at YouTube before moving to Workspace, where she now sits at the intersection of Google's AI transformation and its most-used productivity tools. Her current mandate: turning Gmail into a Gemini-powered personal proactive assistant.
Alex Reibman is the Co-Founder and CEO of AgentOps (Agency), a San Francisco-based developer platform for building, testing, and monitoring AI agents. A 17-time hackathon champion with 10+ years of machine learning experience, he previously led ML engineering at Ernst & Young on $40M+ engagements for clients like Goldman Sachs and American Express, co-founded Menubites.ai (acquired by Snappr in 2023), and worked as a cybersecurity data scientist. AgentOps raised a $2.6M pre-seed in August 2024 and serves enterprise clients including Microsoft, Google, Samsung, and Meta. He studied Economics and Philosophy at Emory University and won the 2024 Emory Entrepreneur Award.
Andrew Toy is the CEO and Board Member of Clover Health (NASDAQ: CLOV), a Medicare Advantage insurer using AI to help physicians identify and treat chronic conditions earlier. A Stanford-trained computer scientist who immigrated from Hong Kong at 16, Toy built Divide (acquired by Google for $120M in 2014), led Android Enterprise at Google, then joined Clover Health in 2018 as CTO before ascending to CEO in 2023. Under his leadership, Clover achieved 51% year-over-year membership growth and its first GAAP net income in Q1 2026, powered by the Clover Assistant AI platform that diagnoses diabetes three years earlier than conventional methods.
Nanonets is a San Francisco-based AI company that turns messy, unstructured documents - invoices, receipts, contracts, claims - into clean, structured data that flows directly into systems like SAP and Salesforce. Founded in 2017 by Sarthak Jain and Prathamesh Juvatkar, the company builds OCR and deep-learning agents that automate the dull back-office work nobody wants to do.
Albert Invent builds an AI-native operating system for chemists and materials scientists, unifying electronic lab notebooks, LIMS, regulatory compliance and predictive AI into one cloud platform that aims to compress decades-long R&D cycles into weeks.
Anyscale is the company behind Ray, the open-source distributed computing framework used to train and serve some of the world's largest AI systems. Founded by the creators of Ray at UC Berkeley's RISELab, Anyscale provides a managed compute platform that lets enterprises scale Python and AI workloads across any cloud, with the performance of bare metal and the ergonomics of a notebook.
Arkestro is a San Francisco-based predictive procurement platform that uses machine learning, game theory and behavioral science to help enterprise buyers run faster, smarter sourcing events. Born as BidOps in 2016, it now serves Fortune 500 manufacturers, energy and logistics firms and claims roughly 18.8% savings per dollar of spend.
BigPanda is an AIOps platform that uses machine learning to correlate noisy IT alerts from hundreds of monitoring tools into actionable incidents, helping enterprise operations teams detect, triage and resolve outages faster. Founded in 2012 and based in Mountain View / Redwood City, it serves large enterprises including Intel, PayPal, Workday and Gap.
Bright Money is a San Francisco-based fintech building an AI-led financial wellness app that helps Americans pay down credit-card debt, build credit, and grow savings. Its MoneyScience engine analyzes income, spending and APRs to automate payoff strategies and round-ups for users carrying high-interest debt.
Carta Healthcare is a San Francisco health-tech company that pairs AI with expert nurse abstractors to pull clean, registry-ready data out of messy electronic medical records. Its Atlas and Lighthouse products cut abstraction costs by more than half while hitting 98-99% inter-rater reliability, freeing clinicians and hospitals from the slow, expensive grind of manual chart review.
Constructor is an AI-powered product discovery and search platform for enterprise ecommerce. Its clickstream-trained models run search, browse, recommendations, autosuggest, quizzes, and agentic shopping experiences for retailers like Sephora, Petco, Under Armour, Birkenstock, and The Very Group - tying every result back to KPIs like revenue per visitor.
Cresta is a generative AI platform built for the contact center, unifying human and AI agents on one system to coach reps in real time, automate post-call work, and turn millions of conversations into measurable revenue, retention, and compliance outcomes.
DSP Concepts is the Silicon Valley audio software company behind Audio Weaver, the embedded audio development platform that powers more than 50 million devices, from Tesla cabins and GoPro cameras to Amazon Alexa-built-in microphones and the first single-SoC Dolby Atmos soundbar.
Elucidata is a TechBio company building Polly, a data-centric ML-Ops platform that harmonizes messy biomedical data into AI-ready datasets for pharma R&D. Founded in 2015 by Abhishek Jha and Swetabh Pathak, the company powers drug discovery work at Pfizer, Genentech, Janssen and dozens of biotechs from offices in San Francisco, Boston and Delhi.
Fligoo is a forward-deployed AI engineering firm that embeds senior engineers inside large enterprises to ship production AI - models, agents, and data pipelines - across banking, wealth, insurance, retail, and telecom. Founded by Argentine engineers and headquartered in San Francisco, it built its name partnering with Broadridge on predictive analytics for wealth advisors.
Gero is a Singapore- and Palo Alto-based biotech company applying physics-informed AI to longitudinal human health data to find the root causes of aging and develop therapies for age-related diseases. Co-founded by physicist Peter Fedichev and entrepreneur Maxim Kholin, Gero has built a foundational model of human health trained on 100M+ medical records, and partners with major pharma including Pfizer and Chugai.
Tim Craycroft is a veteran technology executive who spent over two decades building the plumbing behind digital advertising. After 14 years at Amazon - where he helped architect their multi-billion dollar ads business and opened the Boulder ad tech office - he joined Google in 2020 as VP & GM of Google Advertising, overseeing YouTube, apps, and display ads. In September 2025, he took center stage at the Google ad tech antitrust remedies trial, testifying about internal analyses (Project Sunday and Project Monday) that explored divesting AdX and DFP. He's now joined Flywheel as Senior VP of Engineering. An early cloud storage pioneer who co-founded i-drive.com in the late 1990s, Craycroft brings Dartmouth computer science roots and a Boulder, Colorado sensibility - equal parts algorithm and altitude.
Vidhya Srinivasan is VP and General Manager of Advertising & Commerce at Google, overseeing a portfolio responsible for over $66 billion in quarterly revenue. A computer science graduate of IIT Madras and Georgia Tech, she spent a decade at IBM and several years at AWS - where she scaled Amazon Redshift into the cloud's fastest-growing data warehouse - before joining Google in 2019. At Google she has spearheaded AI-first advertising products including Performance Max, agentic shopping via Google's Universal Cart, and the integration of Gemini across search and shopping surfaces. She is one of the most consequential voices shaping how AI rewires digital advertising.