Active.ai vs AlphaSense

AlphaSense has a disclosed valuation of $4B, while Active.ai's valuation is not publicly available, making a direct size comparison difficult. AlphaSense employs 1750 people.

AlphaSense has raised more in total funding at $1.4B, compared to Active.ai's $11M — a gap of $1.4B. Combined, the two companies have completed 8 known funding rounds.

AlphaSense leads with an Awaira Score of 82/100, while Active.ai sits at 50/100. That 32-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Active.ai was founded by Ravi Shankar in 2016. AlphaSense was founded by Jack Kokko in 2011. Visit each company's profile on Awaira for a full founder biography.

Active.ai: Active.ai builds conversational AI solutions specifically for retail banking and financial services, enabling banks to deploy intelligent virtual assistants for account inquiries, transaction analysis, loan servicing, and customer onboarding through mobile and messaging channels. The platform is designed to integrate with core banking systems and comply with financial services regulations across multiple jurisdictions.\n\nThe company raised approximately $11M in Series A funding and counts regional banks, cooperative financial institutions, and digital neobanks among its customers in India and Southeast Asia. Active.ai's banking-specific NLP models are trained on financial domain terminology, reducing hallucination risk in regulated customer-facing interactions.\n\nThe digital banking transformation in India, accelerated by UPI and the JAM trinity, has created strong demand for AI-assisted banking interfaces that can serve the next 300 million users entering the formal financial system. Active.ai's banking-native design positions it as a credible alternative to expensive custom development or generic chatbot platforms that require extensive financial domain customization. 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.

AlphaSense got there first, launching in 2011 — that's 5 years of extra runway. Active.ai didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Active.ai has about 50-200 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.

Yes — they're direct rivals. Both Active.ai and AlphaSense compete in AI Finance, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.