GigaOm empowers customers to make faster decisions with AI
GigaOm partnered with Pythian to develop an AI solution to summarize dense analyst reports while preserving critical research impartiality.
GigaOm improved report accessibility using AI.
Pythian scaled human expertise through AI-driven summarization
GigaOm faced challenges navigating dense, 60-page analyst reports that slowed customer decision-making. They turned to Pythian to develop an AI solution that would summarize analyst reports without compromising their mandate for impartial, non-biased vendor down selection. Pythian developed a custom RAG solution on Google Cloud that synthesizes complex data to provide factually grounded responses. This solution enables customers to extract insights faster while mirroring the sophisticated logic of GigaOm’s human analysts.
Pythian built an unbiased AI analyst that solves for data density and algorithmic neutrality, successfully transforming information overload into scalable, impartial insights.
Standard LLMs compromised research integrity
Generic language models often defaulted to recommending specific vendors instead of providing the objective market down selection GigaOm requires.
Interpreting sophisticated graphical radar plots
Standard multimodal models failed to accurately interpret the complex nuances found in GigaOm’s proprietary graphical data representations.
Capturing unique analyst voice and logic
GigaOm needed the AI to match the high standards and specific analytical tone of their veteran research team.
Navigating high-volume technology research reports
The sheer volume of data in 150 annual reports made manual summarization for specific customer queries nearly impossible to scale.
Custom AI development solution
Pythian avoided generic solutions by building a RAG architecture specifically designed for GigaOm’s unique document structures. This allowed for greater relevance and improved accuracy when dealing with domain-specific technology research. The custom build ensures the AI remains grounded in GigaOm's proprietary data.
Structured data precision
Recognizing that standard RAG systems struggle with tables, Pythian developed a component to extract numerical data from research tables. This supplementary context is integrated into the generative process for more factually sound responses. The result is a system that understands both the "what" and the "how much" of the research.
Preserved research integrity
Pythian configured the Gemini models to prioritize impartiality, ensuring the AI assists in down selection rather than providing biased recommendations. This configuration mirrors the nuanced approach of human analysts, maintaining GigaOm’s reputation as a trusted advisor. The solution successfully automates the "analyst voice" at scale.
Implemented Gemini
Utilizing Vertex AI Notebooks and Gemini models, Pythian created a robust environment for testing and deploying the AI tool. This high-performance infrastructure allows GigaOm to process complex queries against their massive report library in real-time. The technology stack ensures the system remains scalable as GigaOm's library grows.
GigaOm now has an AI analyst who can answer customers complex questions in seconds
Pythian built an unbiased AI analyst that solves for data density and algorithmic neutrality, successfully transforming information overload into scalable, impartial insights.
The AI solution has made GigaOm's existing research library more valuable to clients by providing instant, tailored answers. By implementing a custom RAG solution on Google Cloud, GigaOm transformed its dense analyst reports into an interactive, high-ROI asset that functions as a 24/7 digital analyst. This allows clients to extract tailored insights in seconds, significantly accelerating the procurement cycle and vendor down selection process. Most importantly, the system's custom configuration eliminates AI bias, ensuring that automated responses remain strictly objective and factually grounded.
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The shocking thing for me is that it worked. I haven’t been able to break it yet. I genuinely think the way it responds is how one of my analysts would respond. It’s very impressive.
Howard Holton
Chief Operating Officer (COO), GigaOm
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