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Open source Lightdash gets Accel’s backing to bring AI to business intelligence

  • Lightdash has introduced a new product enabling companies to train AI analysts specific to individual teams use-cases, using its BI platform to query aggregate business data. It also announced $11m in funding led by Accel, taking total backing to just under $20m.
  • The Lightdash platform integrates disparate data sets to unlock insights, identify trends, and predict future outcomes; both technical and non-technical users can customise this reporting using the platform.
  • The latest feature allows anyone to ask natural language questions of the company’s data and receive curated insights relevant to their department. For example, the finance team will have an AI analyst that only has access to the data, metrics, and content that is relevant to them.
  • One of the stumbling blocks for enterprises fully embracing generative AI is the thorny issue of data security; businesses are cautious about giving access to confidential company data.
  • However, the Lightdash AI Analyst is powered by the same Lightdash API used in its standard product, meaning it is subject to the same security protocols that satisfied clients are already comfortable with.
  • Data permissions and governance are essential to blockers for larger companies when rolling out these tools, but with Lightdash’s AI analyst, customers get those production features out of the box.
  • Since the disclosed funding of $8.4m two years ago, the startup has launched a cloud service for its core product and has seen its revenues grow seven-fold in the past year, and has more than 5,000 teams running the open source product themselves.
  • Workday is among its customers, as well as Beauty Pie, Hypebeast and Morning Brew.
  • Today, Lightdash employs 13 staff worldwide. Using the latest fundraising, it is looking to expand its team and product.
  • Lightdash customers are able to select their preferred LLM provider, including the likes of OpenAI and Anthropic, while they can also use their own model, which should appease any lingering concerns about opening access to sensitive company data.

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