Home SpectrumAi Files for IPO: Digital Health Startup Founded by Mother of Four Autistic Children Secures $20M Series A Led by CVS Health

SpectrumAi Files for IPO: Digital Health Startup Founded by Mother of Four Autistic Children Secures $20M Series A Led by CVS Health

Mar 30, 2023 08:00 CST Updated 08:00
SpectrumAi

Developer of Innovative Solutions for Autism Treatment

Children with autism are also known as "children from the stars." According to autism prevalence screening data released by the U.S. Centers for Disease Control and Prevention (CDC) on December 2, 2021, one in every 44 children in the United States is a child with autism, and this proportion continues to rise each year.


In March 2023, SpectrumAi, a startup focused on autism care, announced that it had secured $20 million in Series A financing. The round was led by CVS Health Ventures, with participation from Cobalt Ventures, F-Prime, Frist Cressey, and the Autism Impact Fund. This brings SpectrumAi’s total fundraising to $29 million just two years after its founding.


SpectrumAi was founded in 2021 and is headquartered in Los Angeles, California, USA. It was co-founded by Ling Shao, Elizabeth Bigham, and Chris Storer.


Founder: Mother of four, former executive at UnitedHealth Group


Shao is the Co-founder and CEO of SpectrumAi. He earned his undergraduate degree in Nuclear Engineering from the Massachusetts Institute of Technology (MIT) and later completed his MBA at Harvard Business School.


In addition to her distinguished educational background, Shao is also a seasoned veteran in the healthcare industry. Prior to founding SpectrumAi, she accumulated over 20 years of experience in healthcare. Shao began her career as a nurse in the U.S. Army for five years, and subsequently held executive positions at UnitedHealth Group, its subsidiary Optum, and the digital health startup Buoy Health.


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Founder Ling Shao. Image source: SpectrumAi official website


Meanwhile, Shao is also the mother of four boys with autism. What causes her great distress is the lack of data transparency in autism treatment; parents cannot observe treatment efficacy nor access evidence-based therapeutic approaches. Although Applied Behavior Analysis (ABA), hailed as the “gold standard” for autism intervention, is used as an adjunctive therapy, its outcome assessment remains highly subjective and yields only mediocre results.


Thus, Shao decided to start his own venture to ensure that children with autism could access high-quality, digital, and transparent ABA therapy, giving rise to SpectrumAi.


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Founder Ling Shao and family. Image source: SpectrumAi official website


Digital Therapeutics Improve ABA Therapy for Autism


Applied Behavior Analysis (ABA)Applied Behavior Analysis (ABA) therapy is a treatment approach designed to improve patients' communication, social, and learning skills. It was developed by behavioral psychologist Dr. Ivar Lovaas, who first applied it to the treatment of autism. ABA therapy is the longest-established and most widely used intervention for autism to date, and it is among the safest and most effective methods for behavioral intervention and rehabilitation in autism. Through ABA, therapists can employ positive and negative reinforcement to enhance patients' communication, language, and other skills.


However, ABA lacks objective data standards for treatment quality and efficacy. Its outcome monitoring relies solely on information provided by therapists and the parents of children with autism, which is highly subjective and lacks quantifiable objective criteria. Therapists’ documentation of relevant details during ABA sessions can also interrupt the child’s treatment. ABA is an intensive, long-term intervention, typically requiring 25–40 hours per week; inappropriate long-term implementation may inadvertently reinforce negative behaviors in children.


Therefore, SpectrumAi has launched two tools dedicated to improving the quality of ABA rehabilitation therapy: the ABA electronic medical record system Twyll and the network analysis platform Patterns.


ABA Electronic Medical Record TwyllStreamlined cumbersome documentation and improved patient data monitoring and tracking through digitalization, automated trend analysis, multimedia health records, and remote supervision, enabling timely support and intervention plans while enhancing administrative efficiency.


Among themThe Greatest BrightnessThe point is that ABA therapy has been implemented.Automatic Data Collection and Analysis, therapists do not need to interrupt the treatment process. The AI algorithms in Twyll can automatically capture therapeutic data such as images, audio, and text, after which the system automatically generates an analysis report. Therapists can also remotely monitor patients' treatment progress.


Twyll is recommended by ABA therapy expert teams, including Board Certified Behavior Analysts (BCBAs) and Registered Behavior Technicians (RBTs).


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Twyll System Operation Interface. Image source: SpectrumAi official website


Patterns: Network Analysis PlatformBy accessing conversational and longitudinal treatment data to validate the efficacy of ABA, while also featuring objective network management capabilities, Patterns streamlines the utilization management assessment process—utilization management being a technique and policy in the U.S. healthcare sector for evaluating the medical necessity of services—thereby eliminating reliance on subjective narratives and facilitatingTransparent Access to Objective Data. In addition, Patterns also provides self-insured employers with premium access to Loom (a video messaging platform).

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Patterns Platform Interface. Image Source: SpectrumAi Official Website


SpectrumAi aims to conduct evidence-based assessments through a digital platform, enabling parents to gain a clearer understanding of how to improve treatment outcomes. SpectrumAi’s software facilitates automated data collection, provides a disease knowledge base, and assists therapists in identifying the most effective ABA intervention strategies for diverse patient populations.


In addition to ABA therapists, SpectrumAi can provide insurers with simplified patient treatment monitoring, facilitating intelligent underwriting and product design. Shao did not disclose SpectrumAi’s specific clients, but she stated that they include U.S. health insurance companies and key players in the ABA therapy industry.


Three Rounds of Financing Within Two Years, Totaling $29 Million


In November 2021, SpectrumAi, founded less than a year earlier, announced that it had secured venture capital investment from the Autism Impact Fund (AIF). In this round of funding, AIF invested in a total of seven startups focused on the diagnosis and treatment of autism.


“As an investment and innovation firm focused on autism, AIF has strong confidence in SpectrumAi’s model, which will improve outcomes through emerging technologies and value-based care,” said Christopher Male, Co-Founder and Managing Partner of AIF, who is also the father of a child with autism.


Subsequently, in June 2022, SpectrumAi raised $9 million in a seed funding round led by F-Prime Capital and Frist Cressey Ventures, with AIF also participating.


With increasing capital inflow, SpectrumAi has accelerated the commercialization of two products, both developed from the ground up and brought to market within 18 months of the company’s launch.


In March 2023, SpectrumAi announced that it had secured up to $20 million in Series A financing. The round was led by CVS Health Ventures, with participation from Cobalt Ventures. Existing investors Frist Cressey, F-Prime, and the Autism Impact Fund (AIF) also participated in the investment. Reportedly, the funds will be used to accelerate product adoption of Twyll, its electronic health record system for Applied Behavior Analysis (ABA), and Patterns, its network analytics platform.


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SpectrumAi Funding History Data Source: Crunchbase


The Autism AI Sector Is Abuzz with Fierce Competition


The global prevalence of autism spectrum disorder is on the rise, with more than 70 million affected individuals in the United States alone. SpectrumAi is not the only entity bullish on this sector; other companies are also actively competing in the AI-for-autism landscape.


The representative companies in AI-based autism diagnosis includeCognoa, it is the world's first company dedicated to applying machine learning to early screening for childhood autism.


AI technology has also been applied to autism rehabilitation therapy and databases, with implementations dating back several years.BioSymetricsLaunched big data tools,GoogleCollaborate with the autism advocacy and research organization “Autism Speaks” to establish an autism gene bank,Massachusetts Institute of TechnologyandBrigham Young UniversityCompanion robots for children with autism have also been developed.


In addition, some small and medium-sized enterprises are also developing platforms related to autism treatment, attempting to gain a share of the autism market.


Although the AI market for autism spectrum disorder holds significant potential—with unsaturated segments ranging from early screening and diagnosis to rehabilitation therapy, representing a blue ocean—capital investment will enable leading enterprises to rapidly achieve chain operations, scale, and brand recognition. As the market gradually matures in the future, competition is expected to intensify further.


Due to the high professional barriers associated with AI-related products for autism, industry development requires enterprises to increase R&D investment, strive for policy support, and accelerate innovation, thereby driving the continuous upgrade and practical implementation of products toward greater intelligence and high-level integration.


Whether SpectrumAi can break through the competition remains to be seen.