High confidence

    Turing revenue is $300.0M in annual recurring revenue.

    Benchmark scores don't reflect how AI models perform in production. This page estimates Turing's revenue, customers, growth, and unit economics from public traffic and pricing data — an estimated ~$300M ARR for the late-stage HR company, based in San Francisco, CA.

    Stage
    Series D+
    Founded
    HQ
    San Francisco, CA
    Funding raised
    $247M
    Annual recurring revenueReported
    $300.0M
    Model range $255.0M$345.0M
    $255.0M low$345.0M high
    Est. MRR
    $25.0M
    Reported by reported $300M revenue runrate 2024, 2026
    Revenue & growth

    Where Turing's $25.0M of monthly revenue moves

    Modeled monthly-recurring-revenue movement — the new, expansion and reactivation revenue added against the contraction and churn lost.

    MRR movementlast full month
    New+$231K
    Expansion+$483K
    Reactivation+$75K
    Contraction-$47K
    Churned-$126K
    Net new+$616K
    Net new MRR
    +$616K

    Added revenue is running ahead of what's lost.

    Quick ratiohealthy > 4.0
    4.1

    Every $1 lost is offset by ~$4.1 gained.

    Web trafficstable
    1.9M/mo
    Organic16%
    Direct44%
    Referral4%
    Paid1%
    Social13%
    Conversion funnel
    Visitor → signup
    benchmark 2%
    2%
    Visitor → paid
    benchmark 0.2%
    0.3%
    Traffic quality
    1.7%
    from AI assistants & answer engines
    60%
    organic / non-paid demand

    Source: SimilarWeb, Q2 2026

    What you can do with Turing's estimate

    See it on your data

    Run this analysis on Turing's real Stripe

    This page is modeled from public signals. Connect Stripe, read-only, and every figure becomes exact — with the actual account names behind each finding.

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    Under the hood

    How we estimate this — and what we don't claim

    Public signals, published peer benchmarks, a fitted model, and an honest range with a confidence tier. Reported figures override the model as Verified.

    Metrics vs. benchmark

    How Turing compares to same-stage SaaS peers

    Each estimated metric is placed at its percentile against same-stage peers. The dot is Turing; the tick is the peer median.

    Customer churnP95 · top 5%
    1.3%
    peer median3%

    Low churn for its stage — customers stick.

    Gross MRR churnP95 · top 5%
    0.5%
    peer median1.2%

    Little revenue lost to downgrades and cancels.

    Net MRR churnP95 · top 5%
    -1.2%
    peer median0.3%

    Expansion outweighs losses — negative net churn.

    Gross revenue retentionP52 · top 48%
    92%
    peer median89%

    Retains revenue near the peer median.

    Net revenue retentionP55 · top 45%
    115.9%
    peer median106%

    Accounts grow — revenue rises even without new sales.

    MoM growthP31
    2.5%
    peer median4%

    Growing slower than the typical peer.

    Customers & unit economics

    Roughly 56K+ accounts, 56K+ of them paying

    Total accounts
    56K+
    free + paying, estimated
    Paying customers
    56K+
    at ~$450/mo each
    Blended ARPU
    $450
    per paying account / mo
    Customer LTV
    $36K
    lifetime value, modeled
    Processing fees
    2.9%
    ~$725K/mo on payments
    Net cash flow
    $24.3M
    MRR less processing, /mo
    Est. ARR / customer
    $5K
    annual revenue per account
    Pricing & plan mix

    Turing's published pricing

    Custom / contact sales

    Turing doesn't publish prices — it's sold through sales teams on a custom-quote basis. We estimate its blended ARPU from category norms.

    Est. blended ARPU
    $450/mo
    Business health

    How healthy is Turing's business?

    71/ 100
    Healthy

    Strong across most dimensions — a healthy, compounding SaaS profile.

    MoM 2.5%Weak42
    NRR 116%Strong96
    Quick ratio 4.1Fair65
    CLV $35.7KStrong85
    What the agents would find

    North Metric's agents found an estimated
    $832K/mo in opportunities for Turing

    And that's from public signals alone. Connect Stripe and every finding below carries the actual account names.

    Protect$225K
    Churn Radar$150K/mo
    Accounts with declining usage
    Usage-decline cohort flagged from engagement signals.
    Whale Alert$75K/mo
    Revenue concentration in top accounts
    Top accounts represent an outsized share of MRR.
    Recover$82K
    Payment Recovery$44K/mo
    Failed charges in retry window
    ~5.5% of charges fail; smart-retry addressable.
    Win-Back Engine$38K/mo
    Recently churned, high re-engage odds
    Recent churned logos with strong prior engagement.
    Expand$525K
    Upgrade Finder$300K/mo
    Power users on lower tiers
    Feature usage exceeds current plan limits.
    Trial Closer$150K/mo
    Engaged trials nearing decision
    High-activation trials in the conversion window.
    Pricing Power$75K/mo
    ASP trails ARPU
    In-app upgrade prompts could lift realized price.
    Protect. Recover. Expand. your revenue.

    If we can find this from the outside, imagine what we'd find in your Stripe.

    Connect once, read-only. Your first nightly report — priced in dollars, with customer names — lands in the morning.

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    How much does Turing make? Common questions

    How much revenue does Turing make?

    Turing's revenue has been reported at $300.0M (2026). Turing is private; this page pairs that reported figure with a full estimated breakdown.

    What is Turing's ARR?

    Our estimate puts Turing's ARR near $300.0M (~$25.0M/mo MRR).

    How many customers does Turing have?

    We estimate roughly 56K+ paying customers, based on estimated revenue of $300.0M at about $450/mo per account.

    Is Turing growing?

    Turing's web traffic is currently stable, and we estimate revenue growth around 2.5% per month with net revenue retention near 115.9%.

    How much does Turing cost?

    Turing doesn't publish pricing — it's sold via sales teams on a custom-quote basis.

    Is Turing public or private?

    Turing is a private, series d+ company founded in 2018, based in San Francisco, CA. It has raised $247M.

    How accurate is this estimate?

    We validate our model on companies whose revenue is public: it lands within 2× of the real figure about 70% of the time, and within 3× about 90%. See our full methodology.

    How we estimate this — and what we don't claim

    01
    Public signals

    Web traffic, traffic mix, brand-search demand and published pricing — the signals anyone can see.

    02
    Peer benchmarks

    Published SaaS conversion, churn and retention rates — looked up, not invented.

    03
    Fitted model

    A demand model trained on companies whose revenue is public, reconciled with the traffic funnel.

    04
    Honest accuracy

    Validated blind: ~70% of estimates land within 2× of the reported figure, ~90% within 3×.

    Every figure is a model output with a stated range and confidence — never a claim of Turing's actual books. Where a company publishes or a credible outlet reports a real number, we mark it Verified and lean on it (reported $300M revenue runrate 2024). Read the full methodology. Last updated 2026-07-12.

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