Spren

Transforms smartphone cameras into biomarker sensors for body composition, HRV, and health metrics.

Website: https://www.spren.com/

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Field Value
Name Spren
Tagline Transforms smartphone cameras into biomarker sensors for body composition, HRV, and health metrics
Headquarters Asheville, NC
Founded 2014 (originally as Elite HRV)
Stage Seed
Business Model B2B2C
Industry Healthtech
Technology Type AI / Machine Learning, Computer Vision
Geography North America
Growth Profile Venture Scale
Funding Label Seed
Total Disclosed ~$11.3M

Links

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Executive Summary

PUBLIC

Spren is a healthtech company that converts an ordinary smartphone camera into a measurement instrument for body composition, heart rate variability, and related physiological signals, then licenses the underlying SDK and API to fitness and wellness brands rather than selling a consumer app of its own [Spren.com] [Spren Docs]. The company began life in 2014 as Elite HRV, a heart-rate-variability tool aimed at athletes, before rebranding to Spren and broadening into a wider biomarker platform under founder and CEO Jason Moore, who is based in Asheville, NC [Athletech News] [LinkedIn, 2026]. Co-founder and COO Vivek Menon, a Dartmouth alumnus, has run product and operations across both eras of the company since 2017 [Crunchbase] [The Org]. in October 2022 Spren closed roughly $11.3 million in seed capital led by Drive by DraftKings, with participation from Eli Manning, Theo Epstein, Boston Seed Capital, Karlani Capital, Permit Ventures, and High Country Impact Fund [Benzinga, Oct 2022] [Crunchbase, Oct 2022]. The differentiation rests on a published validation claim of 0.95 correlation to gold-standard body composition methods and 2.6% mean absolute error against DXA, underwater weighing, and 5-compartment models, work the company attributes to Pennington Biomedical Research Center and university partners [Spren.com]. Distribution is moving from pure SDK sales toward branded deployments such as Snap Fitness, which has rolled out AI body composition scanning across its 1,100+ gyms via a Spren partnership [FITT Insider]. Over the next 12 to 18 months, the questions that matter for investors are whether the partner pipeline converts into recurring per-scan or per-seat revenue, whether the accuracy claims hold across skin tones and lighting conditions in production, and whether a Series A materializes against measurable usage rather than logo count.

Data Accuracy: GREEN -- Confirmed by Crunchbase, Benzinga, FITT Insider, and the company's own developer documentation.

Taxonomy Snapshot

Axis Value
Stage Seed
Business Model B2B2C (SDK / API licensed to fitness and wellness brands)
Industry / Vertical Healthtech, digital fitness, body composition
Technology Type Computer vision, deep learning on smartphone camera input
Geography North America (HQ Asheville, NC)
Growth Profile Venture Scale
Founding Team Jason Moore (CEO), Vivek Menon (COO)
Funding ~$11.3M seed, led by Drive by DraftKings (Oct 2022)

Company Overview

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Spren's origin sits a decade back. The entity was incorporated in 2014 by Jason Moore as Elite HRV, a heart-rate-variability application targeted at endurance athletes, coaches, and biohackers, with Moore positioned publicly as a biomarker specialist with a coaching background [Athletech News] [FITT Insider]. The company is headquartered in Asheville, North Carolina, an unusual location for a venture-backed software company and one that has shaped its capital base, including local backing from the High Country Impact Fund [LinkedIn, 2026] [High Country Impact Fund].

The Elite HRV-to-Spren transition was less a pivot than an expansion. The HRV measurement work, which used the smartphone camera and flash to read pulse waveforms from a fingertip, served as the technical and data foundation for a wider biomarker platform. Vivek Menon joined in 2017 and currently serves as co-founder and COO, having run product and operations through the rebrand [The Org] [Crunchbase]. The rebrand to Spren coincided with the October 2022 seed round, which the company framed publicly as the launch of a "camera-enabled biomarker platform" rather than a consumer-app raise [Benzinga, Oct 2022].

The most significant post-funding milestones publicly attributable to Spren are the publication of validation work conducted with Pennington Biomedical Research Center on body composition accuracy, and a commercial partnership with Snap Fitness to deploy AI body composition scanning across more than 1,100 gyms worldwide [Spren.com] [FITT Insider]. Both events tighten the story from "interesting SDK" toward "clinically defensible measurement layer with a marquee distribution partner."

Data Accuracy: GREEN -- Confirmed by Crunchbase, Athletech News, FITT Insider, and Benzinga.

Product and Technology

MIXED

The core product is Spren Vision, a computer-vision and deep-learning stack that turns a smartphone camera into a biomarker sensor [PUBLIC] [Spren.com]. According to the company's developer portal, the platform exposes heart rate variability, heart rate, respiration rate, body fat, an acute mental stress score, a cardiorespiratory fitness score, and physiologically based activity guidance, with brands integrating either through native SDKs or via a REST API for partners that already capture sensor data [PUBLIC] [Spren Docs]. A separate Body Composition product line lets users photograph themselves to estimate body fat and lean mass changes from home, which is the workflow that anchors the Snap Fitness deployment [PUBLIC] [Spren.com] [FITT Insider].

The technical claim that matters most commercially is accuracy. Spren publishes a 0.95 correlation to gold-standard body composition methods and a 2.6% mean absolute error figure, attributing the validation to Pennington Biomedical Research Center and university collaborators across what it describes as a 240-plus participant study [PUBLIC] [Spren.com]. Investors should note that the underlying study, while named, is presented largely through company-controlled channels in the materials surfaced here, so independent peer-reviewed citation should be requested directly during diligence. The architecture leans on what the company calls "billions of data points" accumulated across the Elite HRV and Spren eras, suggesting that the accuracy story rests on dataset scale as much as on model novelty [PUBLIC] [Spren Docs].

The go-to-market is explicitly white-label. The developer documentation emphasizes that "there's no brand interference" and that users do not have to sign up for a separate Spren account or get redirected out of the partner app, which is consistent with a B2B2C posture aimed at fitness apps, gyms, corporate wellness providers, and (per the company website) at least one online diabetes prevention program offering [PUBLIC] [Spren Docs] [Spren.com]. Engineering tech-stack specifics beyond the SDK and API surface are not publicly disclosed.

Data Accuracy: YELLOW -- Product features confirmed by Spren.com and Spren Docs; the headline accuracy figures are sourced primarily to the company's own blog and a partner press release rather than to an independently retrievable peer-reviewed publication in the captured materials.

Market Research and Opportunity

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The market case for Spren rests on a simple shift: measurement that used to require a clinic, a chest strap, or a $100,000 DEXA machine is migrating to the device already in the user's pocket [Wits & Weights]. The October 2022 launch release framed the opportunity against a $1.5 trillion global wellness market, a figure originally published by McKinsey and recycled across industry coverage [PRWeb, Oct 2022] [Benzinga, Oct 2022]. That number is the broadest possible framing and includes nutrition, fitness, mindfulness, and personal care; the addressable slice for a camera-based biomarker SDK is meaningfully smaller and concentrated in connected fitness, corporate wellness, and digital health.

Sizing Claim Value Source
Global wellness market $1.5T [PRWeb, Oct 2022]
Spren validation cohort 240+ participants [Spren.com]
Snap Fitness rollout footprint 1,100+ gyms [FITT Insider]

The sizing table above mixes a top-of-funnel TAM with two operational data points; read together, they suggest the company is positioning itself as picks-and-shovels infrastructure inside a very large category rather than competing for end-consumer attention directly.

Demand drivers are concrete. Connected fitness operators are under pressure to justify membership pricing with measurable outcomes, which makes a credible at-home body composition scan a retention tool rather than a vanity feature. Corporate wellness budgets continue to favor programs with measurable health-risk reduction, and the company has explicitly stood up an online diabetes prevention program offering as a regulated-adjacent use case [Spren.com]. On the developer side, every consumer fitness app that wants to add physiological measurement faces a build-versus-buy decision against a dataset Spren claims spans years of HRV and body composition collection [Spren Docs].

Adjacent and substitute markets are non-trivial. Wearables (Apple Watch, Whoop, Oura, Garmin) already deliver HRV and increasingly approximate body composition through bioimpedance scales and ring-based metrics, while clinical-grade body composition stays anchored to DXA and InBody hardware. Spren sits in the seam: more accessible than the clinical hardware, more brand-flexible than the wearable incumbents who are unlikely to license their stack to a competing fitness app. Regulatory exposure is moderate; the marketed use cases are wellness-adjacent rather than diagnostic, but any drift toward illness prediction or clinical decision support would invite FDA software-as-a-medical-device scrutiny that the company has not publicly addressed.

Data Accuracy: YELLOW -- TAM citation is a single recycled figure; segment dynamics inferred from Spren's primary materials and partner press.

Competitive Landscape

MIXED

Spren is positioned not as a consumer wearable but as the measurement layer that consumer wellness brands embed, which puts it in a different competitive posture than the names most readers will reach for first.

The competitive map breaks into three tiers. The incumbents in physiological measurement are the wearable platforms: Apple, Whoop, Oura, Garmin, and Fitbit/Google all capture HRV and resting metrics natively, and several have moved into body composition through accessory scales or bioimpedance rings. None of these companies meaningfully license their measurement stack to third-party fitness brands, which is precisely the gap Spren is built to fill [PUBLIC]. The challenger tier in computer-vision body composition includes companies such as Made Health and Fitness, Amazon's discontinued Halo body scan, and a handful of smaller scanning apps; the Halo retirement in particular illustrates that even a deep-pocketed entrant can fail to clear the consumer-trust bar in this category. The adjacent-substitute tier is the clinical and semi-clinical hardware footprint: DXA, InBody, Styku, and Fit3D, all of which sit inside gyms, clinics, and physician offices and which the Snap Fitness deployment is implicitly competing against on a cost-per-scan basis [FITT Insider].

Spren's most defensible edge today is the combination of dataset scale accumulated across the Elite HRV years and a published accuracy claim that is unusually specific for the category, anchored to named research partners [Spren.com] [Spren Docs]. That edge is durable to the extent that the company can keep partner-deployed scans flowing into model retraining without breaching privacy commitments, and perishable to the extent that Apple or Google could ship a comparable native API and instantly commoditize the measurement layer for any app on their platforms [PUBLIC].

The most exposed flank is distribution power. A wearable incumbent that decides to open a measurement API, or a single fitness platform (Peloton, Strava, MyFitnessPal) that decides to build in-house rather than license, would compress Spren's per-partner pricing power quickly. Conversely, the most plausible 18-month upside scenario is that the Snap Fitness rollout produces public outcome data strong enough to convert two or three additional national gym or corporate wellness chains, at which point Spren becomes the default scan layer for the segment. Winner if Snap publishes positive retention data tied to scans; loser if Apple ships a HealthKit body composition API in the same window.

Data Accuracy: ORANGE -- No direct competitors confirmed in source material; landscape constructed from category knowledge anchored to Spren's own positioning and the Snap Fitness press citation.

Opportunity

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If Spren executes, the prize is to become the default measurement API beneath a category of wellness software that is still building its instrumentation layer.

The headline opportunity. The single largest outcome Spren could plausibly become is the embedded biomarker layer for connected fitness, what Plaid is to bank data or what Stripe is to payments, sitting inside hundreds of branded apps and gyms while remaining invisible to the end user [Spren Docs]. The cited evidence makes that outcome reachable rather than aspirational on three counts: a published accuracy figure that gives partners regulatory and marketing cover [Spren.com], a named anchor deployment across more than 1,100 Snap Fitness locations that converts the pitch from concept to reference architecture [FITT Insider], and a capital base that combines a category-relevant lead (Drive by DraftKings) with high-signal sports operators (Eli Manning, Theo Epstein) whose networks reach exactly the leagues, teams, and consumer fitness brands Spren needs to court [Benzinga, Oct 2022].

Growth scenarios.

Scenario What happens Catalyst Why it's plausible
Gym-chain default Spren becomes the standard body composition scan layer across national and regional gym chains Snap Fitness publishes retention or revenue lift data tied to scans [FITT Insider] An anchor of 1,100+ locations is already live and producing operational data
Embedded fitness API Consumer fitness apps license Spren rather than build native HRV and body composition A top-50 fitness app integrates the SDK and credits Spren publicly Developer portal, SDKs, and API are productized today and explicitly white-label [Spren Docs]
Corporate wellness and DPP Spren plugs into employer wellness programs and diabetes prevention vendors as the at-home measurement layer Expansion of the company's online diabetes prevention program offering into payer or employer channels [Spren.com] Validated body composition is a credible biomarker for metabolic risk programs

What compounding looks like. The flywheel is dataset-driven. Every partner scan that flows through the SDK, with appropriate consent, retrains the underlying models and widens the gap on accuracy across skin tones, lighting conditions, and body types. That gap then becomes the basis on which the next partner chooses Spren over building in-house, which produces more scans, which widens the gap further. The Elite HRV legacy gives the company an unusually long head start on this loop relative to anyone starting today [Spren Docs]. A second, slower compounding effect is reputational: each named research partnership and each marquee gym chain lowers the diligence cost for the next enterprise customer.

The size of the win. The closest public comparables in embedded health and fitness measurement are the wearable platforms (Whoop's last reported private valuation was approximately $3.6 billion in 2021, per public reporting at the time) and infrastructure APIs in adjacent categories. A scenario in which Spren becomes the default measurement layer across two or three national gym chains and a meaningful fraction of mid-market fitness apps would, by analogy to other vertical infrastructure APIs, support a valuation an order of magnitude above the current seed entry (scenario, not a forecast). The downside-bounded version of the bet, in which the company secures the gym-chain channel but does not break into pure software, still produces a credible strategic acquisition target for a wearable platform, a connected-fitness operator, or a corporate wellness aggregator.

Data Accuracy: YELLOW -- Scenarios anchored to confirmed partnerships and product capabilities; valuation analogies labeled as scenarios rather than forecasts.

Sources

PUBLIC

  1. [Spren] Spren - Body Scans In Your Smart Phone | https://www.spren.com/

  2. [Spren] Spren Vision | https://www.spren.com/business/spren-vision

  3. [Spren] Body Composition - Spren | https://www.spren.com/business/body-composition

  4. [Spren] The Latest Spren Vision Validation Research | https://www.spren.com/blog/the-latest-spren-vision-validation-research

  5. [Spren] Online Diabetes Prevention Program | https://www.spren.com/online-diabetes-prevention-program

  6. [Spren Docs] Welcome - Spren Docs | https://docs.spren.com/

  7. [Spren Docs] Getting Started - Spren Docs | https://docs.spren.com/getting-started

  8. [Crunchbase] Spren - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/spren

  9. [Crunchbase, Oct 2022] Seed Round - Spren - 2022-10-11 | https://www.crunchbase.com/funding_round/spren-seed--eb763ec8

  10. [Crunchbase] Vivek Menon - Co-Founder, COO @ Spren | https://www.crunchbase.com/person/vivek-menon-f65c

  11. [Benzinga, Oct 2022] Eli Manning, Theo Epstein, Drive by DraftKings back Spren in closing more than $11 million in seed capital | https://www.benzinga.com/pressreleases/22/10/n29221264/eli-manning-theo-epstein-drive-by-draftkings-back-spren-in-closing-more-than-11-million-in-seed-ca

  12. [PRWeb, Oct 2022] Spren seed funding announcement (via Crunchbase round profile) | https://www.crunchbase.com/funding_round/spren-seed--eb763ec8

  13. [FITT Insider] Spren Achieves Gold Standard Body Composition Accuracy Using Only Your Phone Camera | https://insider.fitt.co/press-release/spren-achieves-gold-standard-body-composition-accuracy-using-only-your-phone-camera/

  14. [FITT Insider] Snap Fitness Launches AI Body Composition Scanning and Personalized Nutrition at 1,100+ Gyms Worldwide Through Spren Partnership | https://insider.fitt.co/press-release/snap-fitness-and-spren-partner-for-ai-body-composition-scanning-and-personalized-nutrition/

  15. [Athletech News] Spren (formerly Elite HRV) coverage | (publisher article, URL via Athletech News archive)

  16. [Wits & Weights] Can Your Phone Replace a $100K DEXA for Body Fat and Physique Tracking? (Jason Moore), Ep 367 | https://www.witsandweights.com/podcast-episodes/can-your-phone-replace-a-100k-dexa-for-body-fat-and-physique-tracking-jason-moore

  17. [LinkedIn, 2026] Vivek Menon - Spren (Elite HRV) | https://www.linkedin.com/in/vvkmenon

  18. [The Org] Spren team profile (Vivek Menon tenure since 2017) | https://theorg.com/

  19. [LeadIQ] Spren Company Overview, Contact Details & Competitors | https://leadiq.com/c/spren/5a1dc39d2300005a00c560b2

  20. [High Country Impact Fund] Portfolio Company News | https://www.highcountryimpactfund.com/news/category/Portfolio+Company+News

  21. Spren on X - seed round announcement | https://x.com/sprenlabs/status/1580226688872378369

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