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Work Simplr (Techstars ‘25, Gener8tor '24)

We do the work that you don't want to... and AI can't do alone.
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Colorado, United States
11-50 employees

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Company Description

Work Simplr is a managed service platform that assembles on‑demand sprint teams to execute AI‑enabled, human‑validated workflows for enterprise organizations. Through its SprintWork™ model—a fully managed, zero‑integration environment—the company combines AI for first‑pass automation with humans‑in‑the‑loop, primarily students and early‑career professionals, to deliver accurate, compliant, and measurable outcomes in four‑week sprints that can kick off within 72 hours. Work Simplr specializes in transforming unstructured, hard‑to‑scale tasks into clearly scoped, step‑by‑step processes with defined roles, mapped edge cases, QA checkpoints, and risk controls so work can be tested, validated, iterated, and scaled across the enterprise. Clients leverage the platform across data operations and quality (data labeling and annotation, hygiene and enrichment, validation and monitoring, catalog tagging, migration and normalization), sales, marketing and revenue operations (CRM cleanup and tagging, campaign QA, lead research and scoring, market segmentation), research strategy and insights (market mapping, trend tracking, competitive intelligence), product and engineering support (UAT management to accelerate release cycles), administrative and compliance operations (due diligence support, contract tagging, reporting), and AI enablement and automation (capturing undocumented workflows and building scalable automations with human oversight). A proprietary taxonomy breaks work down by task and time to distribute it across coordinated sprint teams, with analytics provided to stakeholders and iteration loops that improve performance sprint by sprint. By preparing work for talent—rather than the other way around—Work Simplr enables early contributors to execute judgment on day one while reducing operational lift for internal teams and giving leaders the clarity and safety needed to move from AI experimentation to enterprise impact. Backed by Techstars (2025 cohort), the company positions itself as an execution engine that converts stalled pilots into cleaner data, qualified pipeline, and faster product cycles—all within an enterprise‑grade, outcomes‑driven framework.

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