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Everyday Life is a Boston, Massachusetts-based licensed insurance brokerage that utilizes an AI-enhanced recommendation engine to facilitate the distribution of life insurance policies for lower-to-middle-income households across the United States market. Operating with a team of 10 to 19 employees, the firm generates between $1 million and $5 million in annual revenue by earning commissions on its online policy placements. The proprietary platform features predictive technology designed to adapt coverage over time, specifically targeting consumers earning under $100,000 to address a 25 percent decade-long decline in life insurance ownership within that specific demographic. The brokerage maintains high consumer ratings on Google Reviews and previously participated in the Global Insurance Accelerator after its creators initially connected at an MIT financial technology event. Everyday Life was officially founded in 2018 by co-founders Jake Tamarkin and Dipali Trivedi.
Everyday Life has raised $2.0M across 1 funding round.
Everyday Life has raised $2.0M in total across 1 funding round.
Everyday Life has raised $2.0M in total across 1 funding round.
Everyday Life's investors include 645 Ventures, Altari Ventures, Jonathan Axelrod, Grace Beauty Capital.
Everyday Life has raised $2.0M across 1 funding round. Most recently, it raised $2.0M Seed in April 2021.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Apr 1, 2021 | $2M Seed | — | 645 Ventures, Altari Ventures, Jonathan Axelrod, Grace Beauty Capital | Announced |
No specific technology company named "Everyday Life" appears in available sources or known industry records as of 2026. The query likely refers to the broader concept of technology in everyday life, which encompasses practical applications of scientific knowledge that enhance daily routines, productivity, and connectivity[1][4]. These technologies include smartphones, smart home devices, cloud computing, IoT gadgets, and productivity tools, serving consumers, businesses, and industries by solving problems like inefficiency, isolation, and resource management[2][5]. Growth momentum is strong, with e-commerce sales hitting $4.28 trillion in 2020 and projected 21.5% growth in 2021, alongside rising adoption of AI, IoT, and cloud services for remote work and sustainability[2][5].
The integration of technology into everyday life evolved from early 20th-century innovations like electrical appliances (e.g., washing machines, refrigerators) to digital shifts in the late 20th century, marked by the internet, smartphones, and CableLabs' formation in 1988 focusing on TV-to-network transitions[3][4]. Pivotal moments include the analog-to-digital revolution around 30 years ago, replacing payphones and Walkmans with secure, connected devices, and recent surges in smart homes and e-commerce driven by platforms like Google Drive and social media[2][3]. This trajectory stems from scientific applications for practical needs, humanizing tech from basic tools like door locks to AI personalization[1][6].
Everyday technology rides trends like IoT expansion, AI personalization, and cloud computing, timed perfectly with post-2020 remote work demands and e-commerce booms amid global connectivity needs[2][5][7]. Market forces favoring it include rising data demands, cybersecurity threats, and sustainability goals, with cable innovations influencing wider ecosystems like medical devices and Wi-Fi[3]. It shapes society by fostering connected communities, efficient manufacturing (e.g., robots, conveyor belts), and health improvements via tools like MRIs, while raising privacy challenges from data collection[4][8].
Everyday tech will deepen IoT and AI integration for hyper-personalized, sustainable living, with trends like advanced cloud scalability and ethical data practices shaping growth amid privacy concerns[5][8][9]. Influence may evolve toward secure, eco-focused ecosystems, potentially mitigating risks like extensive data harvesting while amplifying productivity—building on its foundational role in transforming routines from analog past to digital dominance[3][6].
