Hyper Anna vs Patsnap

Patsnap has a disclosed valuation of $1B, while Hyper Anna's valuation is not publicly available, making a direct size comparison difficult. Patsnap employs 500-1000 people.

Patsnap has raised more in total funding at $300M, compared to Hyper Anna's $10M — a gap of $290M. Combined, the two companies have completed 3 known funding rounds.

Patsnap leads with an Awaira Score of 80/100, while Hyper Anna sits at 38/100. That 42-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Hyper Anna was founded by Natalie Nguyen in 2015. Patsnap was founded by Jeffrey Tiong in 2007. Visit each company's profile on Awaira for a full founder biography.

Hyper Anna: Hyper Anna built an AI analytics assistant that enabled business users to ask questions about their data in natural language and receive charts, insights, and explanations without requiring SQL skills or data analyst support, applying natural language understanding and automated statistical analysis to business intelligence data from sales, marketing, and operations teams. The Sydney company positioned its product as a self-service AI analyst for non-technical business users.\n\nThe company raised approximately $10 million in Series A funding from investors including Sequoia Capital and Reinventure. Hyper Anna was acquired by National Australia Bank in 2020, integrating its conversational analytics technology into NAB internal data analytics tools for business banking and retail teams. The acquisition gave NAB a natural language interface for data exploration that reduced dependency on centralized data analyst resources for routine business reporting queries.\n\nHyper Anna competed in the AI business intelligence market against ThoughtSpot, Tableau Ask Data, and Microsoft Power BI Q&A, all of which added natural language query features to established BI platforms around the same period. The acquisition by NAB reflects the pattern of Australian financial institutions acquiring local AI startups to build internal analytical capabilities, rather than deploying international BI platform vendors for all data access needs. The natural language analytics market has since been transformed by large language model capabilities that enable more sophisticated analytical dialogue than the structured query approaches pioneered by first-generation NL BI tools. Patsnap: Patsnap provides an AI-powered patent analytics and intellectual property intelligence platform that enables R&D teams, IP lawyers, and corporate strategy teams to search, analyse, and monitor global patent databases using machine learning to surface technology trends, competitor patent activity, and freedom-to-operate insights from over 170 million patent documents. The Singapore company integrates patent data with scientific literature and chemical structure databases to provide a comprehensive IP and technology intelligence environment.\n\nThe company raised approximately $300 million including a Series E round from investors including SoftBank Vision Fund 2, Tencent, and CPE Yunji, reaching a valuation exceeding $1 billion. Patsnap serves over 10,000 companies globally including R&D-intensive organisations in pharmaceuticals, semiconductors, automotive, and consumer electronics that use patent landscape analysis to inform technology strategy and investment decisions.\n\nPatsnap competes in the IP analytics market against Derwent Advancement (Clarivate), Questel Orbit, and Minesoft, as well as general enterprise search platforms that include patent data. Its AI capabilities for patent claim analysis, technology trend extraction, and cross-domain IP search differentiate it from traditional Boolean-search patent databases, enabling R&D strategy questions to be answered through AI-assisted analysis rather than manual patent review. The Singapore base provides access to both the Southeast Asian technology market and a sophisticated legal and financial services market for IP monetisation and licensing analytics.

Patsnap got there first, launching in 2007 — that's 8 years of extra runway. Hyper Anna didn't arrive until 2015. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Hyper Anna has about 1-50 employees; Patsnap has about 500-1000. 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 Hyper Anna and Patsnap compete in AI Data, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.