Overall Winner: Glean·82/ 100
VS
G
GleanWinner

Salesken vs Glean

In-depth comparison — valuation, funding, investors, founders & more

S
Salesken

🇮🇳 India · Surya Panditi

Series BEnterprise AIEst. 2018

Valuation

N/A

Total Funding

$25M

58
Awaira Score58/100

100-500 employees

Full Salesken Profile →
Winner
G
Glean

🇺🇸 United States · Arvind Jain

Series EEnterprise AIEst. 2019

Valuation

$4.6B

Total Funding

$600M

82
Awaira Score82/100

500 employees

Full Glean Profile →
🔬

Analyst Summary

Generated from real data · No AI hallucinations

Both Salesken and Glean compete directly in the Enterprise AI space, making this a head-to-head matchup within the same market segment. Salesken is a revenue intelligence platform that uses AI to analyze sales calls in real time, providing sales representatives with in-call cues, objection handling suggestions, and post-call analytics to improve conversion rates. Glean is an enterprise AI search and discovery platform founded in 2019 that helps organizations extract actionable insights from internal data.

Glean carries a known valuation of $4.6B, while Salesken's valuation has not been publicly disclosed. On the funding side, Glean has raised $600M in total — $575M more than Salesken's $25M.

Salesken has 1 year more market experience, having been founded in 2018 compared to Glean's 2019 founding. In terms of growth stage, Salesken is at Series B while Glean is at Series E — a meaningful difference for investors evaluating risk and upside.

Salesken operates out of 🇮🇳 India while Glean is based in 🇺🇸 United States, giving each a distinct home-market advantage. On Awaira's 0–100 composite score, Glean leads with a score of 82, reflecting stronger overall fundamentals across valuation, funding, and growth signals.

Metrics Comparison

MetricSaleskenGlean
💰Valuation
N/A
$4.6B
📈Total Funding
$25M
$600MWINS
📅Founded
2018
2019WINS
🚀Stage
Series B
Series E
👥Employees
100-500
500
🌍Country
India
United States
🏷️Category
Enterprise AI
Enterprise AI
Awaira Score
58
82WINS

Key Differences

📈

Funding gap: Glean has raised $575M more ($600M vs $25M)

📅

Market experience: Salesken has 1 year more (founded 2018 vs 2019)

🚀

Growth stage: Salesken is at Series B vs Glean at Series E

👥

Team size: Salesken has 100-500 employees vs Glean's 500

🌍

Market base: 🇮🇳 Salesken (India) vs 🇺🇸 Glean (United States)

⚔️

Direct competitors: Both operate in the Enterprise AI market segment

Awaira Score: Glean scores 82/100 vs Salesken's 58/100

Which Should You Choose?

Use these signals to make the right call

S

Choose Salesken if…

  • More market experience — founded in 2018
  • India-based for regional compliance or proximity
  • Salesken is a revenue intelligence platform that uses AI to analyze sales calls in real time, providing sales representatives with in-call cues, objection handling suggestions, and post-call analytics to improve conversion rates
G

Choose Glean if…

Top Pick
  • Higher Awaira Score — 82/100 vs 58/100
  • More established by valuation ($4.6B)
  • Stronger investor backing — raised $600M
  • United States-based for regional compliance or proximity
  • Glean is an enterprise AI search and discovery platform founded in 2019 that helps organizations extract actionable insights from internal data

Funding History

Salesken raised $25M across 0 rounds. Glean raised $600M across 5 rounds.

Salesken

No public funding data available.

Glean

Series E

Jan 2024

Lead: Sequoia Capital

$230M

Series D

Jan 2023

Lead: Sequoia Capital

$200M

Series C

Jan 2022

Lead: Sequoia Capital

$100M

Series B

Jan 2021

Lead: Sequoia Capital

$40M

Series A

Jan 2020

Lead: Sequoia Capital

$30M

Investor Comparison

No shared investors detected between these two companies.

Unique to Glean

Sequoia CapitalSalesforce VenturesKleiner Perkins

Users Also Compare

FAQ — Salesken vs Glean

Is Salesken bigger than Glean?
Glean has a disclosed valuation of $4.6B, while Salesken's valuation is not publicly available, making a direct size comparison difficult. Glean employs 500 people.
Which company raised more funding — Salesken or Glean?
Glean has raised more in total funding at $600M, compared to Salesken's $25M — a gap of $575M. Combined, the two companies have completed 5 known funding rounds.
Which company has a higher Awaira Score?
Glean holds the higher Awaira Score at 82/100, compared to Salesken's 58/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 24-point gap that reflects meaningful differences in scale or traction.
Who founded Salesken vs Glean?
Salesken was founded by Surya Panditi in 2018. Glean was founded by Arvind Jain in 2019. Visit each company's profile on Awaira for a full founder biography.
What does Salesken do vs Glean?
Salesken: Salesken is a revenue intelligence platform that uses AI to analyze sales calls in real time, providing sales representatives with in-call cues, objection handling suggestions, and post-call analytics to improve conversion rates. The platform integrates with major CRM systems and telephony providers to surface deal risk signals and coaching recommendations at the rep and manager levels.\n\nThe company raised approximately $25M in Series B funding and has built a customer base across fintech, insurance, edtech, and SaaS sales teams in India and the United States. Salesken claims measurable improvements in quota attainment rates for its customers, driven by AI-powered rep coaching at scale.\n\nRevenue intelligence is a high-growth category globally, with Gong and Chorus dominating the US market. Salesken is positioned as the India-first alternative, with specific advantages in vernacular call analysis and pricing suited to Indian sales team economics. The company's expansion to US-based teams reflects the category's global applicability. Glean: Glean is an enterprise AI search and discovery platform founded in 2019 that helps organizations extract actionable insights from internal data. The company operates in the enterprise AI category, providing AI-powered search capabilities across fragmented corporate information systems including documents, emails, chat messages, and databases. Glean's core technology uses machine learning to understand context and intent, enabling employees to find relevant information and answers across previously disconnected data sources. The platform serves large enterprises seeking to improve productivity and knowledge accessibility. Glean competes in the growing enterprise search and generative AI market alongside companies like Perplexity and traditional search providers adapting to AI. The company has raised $600 million across multiple funding rounds, reaching a valuation of $4.6 billion as of its Series E stage. This funding positions Glean among well-capitalized AI startups addressing enterprise information retrieval challenges. The company targets mid-to-large organizations where data silos and information discovery present operational inefficiencies. Glean's growth trajectory reflects broader enterprise adoption of AI-powered search solutions as organizations increasingly prioritize knowledge worker productivity and unified information access across their technology stacks. Glean specializes in enterprise-specific AI search that unifies fragmented internal data sources rather than external web indexing.
Which company was founded first?
Salesken was founded first in 2018, giving it 1 year of additional market experience. Glean was founded later in 2019. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.
Which company has more employees?
Salesken has approximately 100-500 employees, while Glean has approximately 500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.
Are Salesken and Glean competitors?
Yes, Salesken and Glean are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.