Strategic business decisions have traditionally been expensive and slow for a fundamental reason: they don’t happen enough. This means companies lack both historical data to learn from and experts who have seen enough similar cases. Bridgetown Research is changing that. Today, the AI decision science startup announced $19 million in Series A funding led by Lightspeed and Accel, with participation from a leading research university.
Bridgetown Research has developed AI agents that autonomously execute research. Most notable amongst these agents are voice bots trained to recruit and interview industry experts, gathering primary data that can be analyzed alongside alternative data sourced from their partners.
Founded by Harsh Sahai, who previously led machine learning teams at Amazon before leading strategy engagements at McKinsey & Co., Bridgetown Research was born from a simple observation: the majority of business analyses are a permutation of a small number of automatable tasks. The founding team, comprising former professionals from McKinsey, Bain, Amazon, and leading tech startups, brings together extensive experience across strategy consulting and technology.
While many AI solutions focus on searching and summarizing information using LLMs, real world business decisions require much more than synthesising the open web. They need proprietary data such as primary data from experts and customer surveys, along with frameworks to understand markets, what Harsh Sahai calls “ontologies”. Moreover, outputs need to be repeatable and auditable for a business to use them to make decisions with tens of millions of dollars at stake. Bridgetown Research is the only player using agents to gather primary data and systematically find patterns in it to generate original insights.
Bridgetown Research started with a focus on private equity deal screening diligence. Multiple top-tier PE & VC firms already use Bridgetown Research for deal screening and deeper commercial diligence. They’re able to screen their pipeline much faster with initial analysis taking 24 hours instead of weeks without Bridgetown enabling teams to focus on actual decision making instead of research and analysis. For other customers Bridgetown has enabled voice of customer conversations that cover hundreds of respondents in parallel, and within days.
As global markets become increasingly complex, the demand for efficient and effective decision-making tools continues to rise. With this funding round, Bridgetown Research plans to invest further in training its AI agents to perform a broader set of analyses across a broader range of domains, and deepening industry partnerships to enhance access to domain-specific intelligence.
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This entry was posted on February 26, 2025 at 12:30 pm and is filed under Commentary with tags Bridgetown Research. You can follow any responses to this entry through the RSS 2.0 feed.
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Bridgetown Research raises $19M from Lightspeed and Accel to deploy AI business research agents
Strategic business decisions have traditionally been expensive and slow for a fundamental reason: they don’t happen enough. This means companies lack both historical data to learn from and experts who have seen enough similar cases. Bridgetown Research is changing that. Today, the AI decision science startup announced $19 million in Series A funding led by Lightspeed and Accel, with participation from a leading research university.
Bridgetown Research has developed AI agents that autonomously execute research. Most notable amongst these agents are voice bots trained to recruit and interview industry experts, gathering primary data that can be analyzed alongside alternative data sourced from their partners.
Founded by Harsh Sahai, who previously led machine learning teams at Amazon before leading strategy engagements at McKinsey & Co., Bridgetown Research was born from a simple observation: the majority of business analyses are a permutation of a small number of automatable tasks. The founding team, comprising former professionals from McKinsey, Bain, Amazon, and leading tech startups, brings together extensive experience across strategy consulting and technology.
While many AI solutions focus on searching and summarizing information using LLMs, real world business decisions require much more than synthesising the open web. They need proprietary data such as primary data from experts and customer surveys, along with frameworks to understand markets, what Harsh Sahai calls “ontologies”. Moreover, outputs need to be repeatable and auditable for a business to use them to make decisions with tens of millions of dollars at stake. Bridgetown Research is the only player using agents to gather primary data and systematically find patterns in it to generate original insights.
Bridgetown Research started with a focus on private equity deal screening diligence. Multiple top-tier PE & VC firms already use Bridgetown Research for deal screening and deeper commercial diligence. They’re able to screen their pipeline much faster with initial analysis taking 24 hours instead of weeks without Bridgetown enabling teams to focus on actual decision making instead of research and analysis. For other customers Bridgetown has enabled voice of customer conversations that cover hundreds of respondents in parallel, and within days.
As global markets become increasingly complex, the demand for efficient and effective decision-making tools continues to rise. With this funding round, Bridgetown Research plans to invest further in training its AI agents to perform a broader set of analyses across a broader range of domains, and deepening industry partnerships to enhance access to domain-specific intelligence.
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This entry was posted on February 26, 2025 at 12:30 pm and is filed under Commentary with tags Bridgetown Research. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.