careCycleWinter 2025Active☆Watch⊞Compare

careCycle is one of 63 HR / Worktech companies tracked from San Francisco, CA, USA, on record since 2025. By capital raised it ranks in the upper tier (ahead of 79% of sector peers), and in the upper tier by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

Voice AI teams for medicare agencies.

careCycle is an AI workforce for medicare agencies and FMOs - helping leading agencies achieve 5x higher conversions, 37% better retention, and saving thousands of agent hours. We're transforming how Medicare agencies handle member relationships with teams of voice AI agents. We're solving the industry's biggest challenge: 50% annual member churn caused by poor post-enrollment engagement. Our multi-agent AI teams work together to handle the entire customer journey - from initial contact through enrollment and ongoing care. When a lead comes in after hours, one AI agent answers and schedules a callback, another calls at the perfect time, a third captures qualifying information, and a fourth handles the warm transfer to a licensed agent. This approach helped a leading FMO write over $2M in renewals during AEP 2024 while reducing agent talk time by 20% per sale. We've pioneered a purpose-built solution for Medicare's unique compliance requirements. Unlike generic AI platforms, our system features built-in HIPAA/CMS compliance, real-time data structuring, and seamless CRM integration. This enables agencies of all sizes to deliver enterprise-grade member care without massive infrastructure investments. Early metrics show the power of our approach: - 5x increase in after-hours conversion rates - 37% improvement in 90-day retention - 3,000+ agent hours saved in a single AEP - $2M+ in additional renewals during AEP 2024 The Medicare Advantage market represents a massive opportunity, with over $360B in annual premiums and growing 10% year over year. By solving the member retention challenge, we're positioning ourselves to capture significant value by transforming the member care experience for beneficiaries.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 63 companies in HR / Worktech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 79% of sector peers (real $). Modeled value above 79% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

careCycle is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where careCycle sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

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