Failed 2024

    Hyperscience

    Enterprise AI document processing is a crowded market where selling to the government is slow and expensive.

    TL;DR — Failure Post-Mortem

    Hyperscience was a AI/Enterprise startup founded in 2014 in USA. It raised $300M before collapsing in 2024 — 10 years of runway burned. IdeaProof's AI Failure Score: 65/100, driven by sales execution & market fit. The shutdown affected employees, investors, and the broader AI/Enterprise ecosystem. This case study breaks down the timeline, root causes, competitors that won, and replicable lessons for founders validating similar ideas today.

    Why did Hyperscience fail?

    Hyperscience failed in 2024 after 10 years of operation, losing $300M in raised capital. The root cause was sales execution & market fit. Key lesson: Enterprise AI document processing is a crowded market where selling to the government is slow and expensive.

    Verifiable facts
    Sourced
    Founded → Closed

    2014 → 2024

    Funding Raised

    $300M

    Industry

    AI/Enterprise

    Country

    USA

    IdeaProof AI Failure Score

    65/100
    Market Fit Risk
    50
    Burn Rate Risk
    75
    Founder Risk
    25

    Causal Chain

    Derived · heuristic

    This is our reading of the causal chain — separated from the verifiable facts above. Timeline dates, funding numbers and filings are facts (see methodology); root / proximate / terminal attribution is judgement based on public evidence.

    Root cause

    A combination of demand-side, execution, and capital-market pressures that this record documents without isolating a single dominant driver.

    Contributing factors
    • Sector context: AI/Enterprise in USA, 10 years of runway.
    Terminal event

    2024: cessation of operations after failing to secure additional capital or a strategic buyer.

    Base rates

    External sources

    A single failure is an anecdote. These base rates give you the denominator — how common this outcome is across all startups matching Hyperscience's profile. Sources are third-party; we do not restate them as our own claims.

    ~90%
    all

    of startups ultimately fail — including ~10% that fail in the first year and the rest across the following decade.

    Startup Genome / CB Insights aggregate (2024)
    ~35%
    all

    of new US employer businesses survive past their 10th year (Bureau of Labor Statistics BED series).

    US Bureau of Labor Statistics — BED (2024)
    ~35%
    stage

    of Series A rounds ever graduate to Series B; the rest run out of runway or pivot without a follow-on.

    CB Insights Venture Capital Funnel (2023)

    Full Analysis

    Hyperscience raised $300M to automate document processing for enterprises and government agencies using AI. Despite a strong product, the company struggled with long government sales cycles, intense competition from UiPath and Microsoft, and a cost structure built for hypergrowth that never materialized. Severely downsized in 2024.

    Could This Failure Have Been Prevented?

    IdeaProof's AI validates market demand, competitive positioning, and business model viability in minutes — catching the exact issues that sank Hyperscience.

    Related Failures

    C3.ai

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    Slow Growth, Stock Collapse & Customer Concentration

    Spotted a factual error?

    Approved corrections are published in the public changelog with attribution.

    After Hyperscience: hubs, comparisons and deep dives

    Compare the validation, funding and go-to-market choices that separate survivors from failures like Hyperscience.