Listen to this articleFindd, based in Provo, Utah, announced a $21 million growth funding round led by Unbundled Capital. This round supports expansion of operations, AI development (particularly its DiDi AI agent), go to market efforts, and scaling in frontline workforce sectors across the US and Canada. Unbundled Capital partner Shane Skiffington is joining as Executive Chairman to guide commercial execution and broader market moves.
What is Findd?
Findd provides an AI native workforce management platform purpose built for frontline, distributed, hourly, and mobile teams in industries like janitorial/industrial cleaning, construction, healthcare/home care, and security services. It emphasizes time tracking, labor compliance, credentialing, scheduling, and payroll preparation without relying on email, apps, or constant internet.
Key differentiators include:
- Offline-capable operation with later syncing.
- Adaptive facial recognition + GPS for verified clock-ins (learns changes like beards/glasses/aging).
- Multilingual onboarding and interactions via text/SMS (no app/login required).
- Built-in compliance rules engine for union pay, shift differentials, credentials, and jurisdictional requirements.
- Audit ready logs with photo, location, and credential data.
- DiDi, its proprietary AI agent layer, enables natural language interactions (SMS, voice, email) where actions are validated against real labor, compliance, and operational data before execution.
The platform targets pain points in legacy systems (e.g., UKG) such as fraud (ghost employees, buddy punching), payroll errors, billing disputes, manual supervision, and poor adoption among non desk workers. It claims rapid onboarding (high adoption in days), recovered revenue, fraud prevention savings, and compliance improvements.
Findd positions itself in a large, underserved market: frontline workers often lack modern tools, relying on spreadsheets or disconnected systems that struggle with complex, variable rules. It unifies hiring, scheduling, time/labor management, compliance, and insights in one system, capturing validated data at the point of work.
Who founded Findd?
Founders: Tom Loveland (Founder, President, Chairman) and Ryan Johnson (Founder, COO, Director) in 2016. Both have roots at Xactware (Verisk), a leader in construction estimation software. Loveland previously founded FotoPunch (biometric time/attendance, sold to Asure Software) and bought back IP to launch Findd. Johnson held senior product and operations roles at Verisk/Asure. Their experience in enterprise software, biometrics, and operations informs the field-first, compliance heavy design.
The company has operated for about a decade, focusing on practical deployment in regulated, distributed environments.
This $21M round is a significant growth/expansion investment. Prior disclosed funding includes a ~$3M round (e.g., debt or earlier growth) from PaceZero Capital Partners. Total raised is reported around $23M+ in some summaries.
It is not a traditional early stage VC round but a growth injection from Unbundled Capital, a firm focused on software and expansion stage opportunities. The participation of Skiffington as Chairman signals active strategic involvement. No public valuation details were disclosed in announcements.
Timing and Tailwinds: The round aligns with rising AI adoption in vertical software, especially for operations and compliance. Frontline workforce tech benefits from labor shortages, regulatory complexity, union rules, and demand for automation that reduces fraud/risk while improving worker experience. AI agents like DiDi shift value from passive dashboards to executable, rules grounded actions.
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Use of Funds: Expansion of AI capabilities (DiDi evolution), sales/marketing for broader North American reach (facility services and specialty contractors), product deepening in complex labor models, and operational scaling.
Competitive Edge: Emphasis on “AI native” (built ground-up vs. bolted-on) architecture, offline/biometric reliability, and seamless worker experience differentiates it from office centric or hardware heavy legacy players. Quick deployment and modular implementation lower barriers.
Risks/Opportunities: Success depends on execution in sales to mid to large operators, retention of high adoption, handling evolving regulations/AI ethics (e.g., biometrics), and competition from larger HR suites. The market opportunity is substantial given the scale of frontline labor and persistent inefficiencies.
This funding validates Findd’s traction in a specialized, high-need vertical. It provides capital and leadership to accelerate from proven regional use cases toward category leadership in AI driven frontline workforce infrastructure. The combination of deep domain experience, practical field technology, and timely AI positioning supports strong growth potential in 2026 and beyond.
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