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Ocrolus vs AlphaSense

Side-by-side on valuation, funding, investors, founders & more

Comparison updated: April 2026

AlphaSense is valued at $4B — more than 3x Ocrolus's $500M.

Head-to-Head Verdict

AlphaSense leads on 5 of 5 metrics

Ocrolus

0 wins

-Valuation
-Funding
-Awaira Score
-Team Size
-Experience

AlphaSense

5 wins

+Valuation
+Funding
+Awaira Score
+Team Size
+Experience

Key Numbers

Valuation
$500M
$4B
Total Funding
$142M
$1.4B
Awaira Score
56/100
82/100
Employees
250
1750
Founded
2014
2011
Stage
Series C
Series F
OcrolusAlphaSense
Ocrolus logo
Ocrolus

🇺🇸 United States · Sam Bobley

Series CAI FinanceEst. 2014

Valuation

$500M

Total Funding

$142M

Awaira Score56/100

250 employees

Full Ocrolus Profile →
Winner
AlphaSense logo
AlphaSense

🇺🇸 United States · Jack Kokko

Series FAI FinanceEst. 2011

Valuation

$4B

Total Funding

$1.4B

Awaira Score82/100

1750 employees

Full AlphaSense Profile →
Market Context

This is a head-to-head contest: both operate in AI Finance and share a home market in United States. Different stages (Series C vs Series F) mean these companies face fundamentally different operational priorities.

🔬

Analyst Summary

Built from real data · Updated April 2026

Companies

In the AI Finance market, Ocrolus and AlphaSense represent two distinct approaches. Ocrolus is an AI-powered financial document processing company founded in 2014 that automates the extraction and verification of data from financial documents. AlphaSense is an AI-powered market intelligence platform founded in 2011 that helps financial professionals extract actionable insights from vast amounts of unstructured data.

Funding & Valuation

The valuation disparity is stark: AlphaSense at $4B versus Ocrolus at $500M, a 8x difference. On the funding front, AlphaSense has secured $1.4B, outpacing Ocrolus's $142M by $1.3B.

Growth Stage

The founding gap is narrow: AlphaSense in 2011 versus Ocrolus in 2014. Stage-wise, Ocrolus is classified as Series C and AlphaSense as Series F, reflecting divergent fundraising histories. Headcount tells a story too: Ocrolus has 250 employees and AlphaSense has 1750.

Geography & Outlook

Headquartered in 🇺🇸 United States, both Ocrolus and AlphaSense draw from the same local ecosystem of talent and capital. AlphaSense scores 82 on Awaira's composite index versus Ocrolus's 56, a wide margin reflecting substantially stronger fundamentals. Under Sam Bobley and Jack Kokko respectively, both companies continue to chart aggressive growth paths.

Funding Velocity

Ocrolus

Total Rounds4
Avg. Round Size$35.5M
Funding Span4 yrs

AlphaSense

Total Rounds6
Avg. Round SizeN/A
Funding Span9 yrs

Funding History

Ocrolus has completed 4 funding rounds, while AlphaSense has gone through 6. Ocrolus's most recent round was a Series C of $78.1M, compared to AlphaSense's Series F. Ocrolus is at Series C while AlphaSense is at Series F — different points in their growth trajectory.

Team & Scale

AlphaSense has the bigger team at roughly 1750 people — 7x the size of Ocrolus's 250. AlphaSense has a 3-year head start, founded in 2011 vs Ocrolus's 2014. Both are based in United States.

Metrics Comparison

MetricOcrolusAlphaSense
💰Valuation
$500M
$4BWINS
📈Total Funding
$142M
$1.4BWINS
📅Founded
2014WINS
2011
🚀Stage
Series C
Series F
👥Employees
250
1750
🌍Country
United States
United States
🏷️Category
AI Finance
AI Finance
Awaira Score
56
82WINS

Key Differences

💰

Valuation gap: AlphaSense is valued 8x higher ($4B vs $500M)

📈

Funding gap: AlphaSense has raised $1.3B more ($1.4B vs $142M)

📅

Market experience: AlphaSense has 3 years more (founded 2011 vs 2014)

🚀

Growth stage: Ocrolus is at Series C vs AlphaSense at Series F

👥

Team size: Ocrolus has 250 employees vs AlphaSense's 1750

⚔️

Direct competitors: Both operate in the AI Finance market segment

Awaira Score: AlphaSense scores 82/100 vs Ocrolus's 56/100

Which Should You Choose?

Use these signals to make the right call

Ocrolus logo

Choose Ocrolus if…

  • Ocrolus is an AI-powered financial document processing company founded in 2014 that automates the extraction and verification of data from financial documents
AlphaSense logo

Choose AlphaSense if…

Top Pick
  • Higher Awaira Score — 82/100 vs 56/100
  • More established by valuation ($4B)
  • Stronger investor backing — raised $1.4B
  • More market experience — founded in 2011
  • AlphaSense is an AI-powered market intelligence platform founded in 2011 that helps financial professionals extract actionable insights from vast amounts of unstructured data

Funding History

Ocrolus raised $142M across 4 rounds. AlphaSense raised $1.4B across 6 rounds.

Ocrolus

Series C

Jun 2018

$78.1M

Series B

Feb 2017

$39.8M

Series A

Oct 2015

$17M

Seed

Jun 2014

$7.1M

AlphaSense

Series F

Jan 2021

Series E

Jan 2020

Series D

Jan 2018

Series C

Jan 2016

Series B

Jan 2014

Series A

Jan 2012

Users Also Compare

FAQ — Ocrolus vs AlphaSense

Is Ocrolus bigger than AlphaSense?
By valuation, AlphaSense is the larger company at $4B versus $500M — a 8x difference. Size can also be measured by team: Ocrolus employs 250 people while AlphaSense has 1750 employees.
Which company raised more funding — Ocrolus or AlphaSense?
AlphaSense has raised more in total funding at $1.4B, compared to Ocrolus's $142M — a gap of $1.3B. Combined, the two companies have completed 10 known funding rounds.
Which company has a higher Awaira Score?
AlphaSense leads with an Awaira Score of 82/100, while Ocrolus sits at 56/100. That 26-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.
Who founded Ocrolus vs AlphaSense?
Ocrolus was founded by Sam Bobley in 2014. AlphaSense was founded by Jack Kokko in 2011. Visit each company's profile on Awaira for a full founder biography.
What does Ocrolus do vs AlphaSense?
Ocrolus: Ocrolus is an AI-powered financial document processing company founded in 2014 that automates the extraction and verification of data from financial documents. The platform uses machine learning and computer vision technology to process documents such as bank statements, tax returns, payslips, and mortgage applications at scale. Ocrolus serves financial institutions, fintech companies, and lending platforms seeking to accelerate loan origination and underwriting workflows while reducing manual review costs. The company's core technology focuses on document classification, data extraction, and fraud detection across various financial document types. Its AI models are trained to identify inconsistencies and flag suspicious patterns that may indicate document tampering or fraudulent activity. Ocrolus has achieved Series C funding status with a $500 million valuation and $142 million in total funding, positioning it within the mid-tier segment of AI finance companies. The platform addresses a significant pain point in lending and financial services where manual document review remains time-consuming and labor-intensive. Ocrolus competes alongside other document processing and verification platforms in the fintech infrastructure space. The company's growth trajectory reflects increasing demand for automation in loan processing pipelines and KYC/AML compliance workflows. Its customer base includes regional and national financial institutions, though specific client names remain undisclosed publicly. Ocrolus specializes in financial document intelligence specifically, combining fraud detection with data extraction in a single platform tailored for lending workflows. AlphaSense: AlphaSense is an AI-powered market intelligence platform founded in 2011 that helps financial professionals extract actionable insights from vast amounts of unstructured data. The company's core product uses natural language processing and machine learning to analyze earnings calls, news articles, research reports, regulatory filings, and other financial documents in real-time. AlphaSense enables investment professionals, including hedge funds, asset managers, and institutional investors, to identify market trends, competitive threats, and investment opportunities faster than traditional research methods. The platform processes millions of documents across multiple languages and industries, allowing users to conduct semantic searches rather than keyword-based queries. AlphaSense has secured $1.4 billion in total funding and achieved a $4.0 billion valuation as of its Series F funding round, reflecting strong investor confidence in the enterprise AI market. The company competes with traditional financial data providers and emerging AI research platforms by offering superior automation and speed. Its customer base includes major financial institutions and hedge funds globally. AlphaSense's growth trajectory has been accelerated by increasing demand for AI-driven research tools among institutional investors seeking competitive advantages in information analysis and decision-making speed. AlphaSense combines specialized NLP for financial data with institutional-grade performance at scale, addressing a specific pain point in professional investment research.
Which company was founded first?
AlphaSense got there first, launching in 2011 — that's 3 years of extra runway. Ocrolus didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.
Which company has more employees?
Ocrolus has about 250 employees; AlphaSense has about 1750. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.
Are Ocrolus and AlphaSense competitors?
Yes — they're direct rivals. Both Ocrolus and AlphaSense compete in AI Finance, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.

Bottom Line

AlphaSense has a clear lead here — Awaira Score of 82 vs Ocrolus's 56. The difference comes down to funding depth and strategic focus.

Who Should You Watch?

AlphaSense is in the stronger position — better score and deeper pockets. But Ocrolus has room to surprise, especially if they land a marquee investor. Follow both profiles on Awaira to track funding rounds, team changes, and score updates.

Deep Dive