Reported impact
Business outcome
Saved analysts 10+ hours per week on tasks like meeting prep, company profiling, and market research.
- Productivity Improvement
- Revenue Growth
OpenAISoftware / SaaSDocument ProcessingEnterprise Knowledge SearchData AnalyticsGenerative AI / LLMProductivity ImprovementRevenue Growth2024 OpenAIOA#10a37fSoftware / SaaSNorth AmericaBy fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to thousands of financial professionals,…Automated diligence : Rogo integrates private data rooms, generates tailored question lists, offers writing…Dec 11, 20246Document Processing|Enterprise Knowledge SearchGPT-4o · OpenAI API · o10 2024-12-11 6
Rogo
Document Processing · Enterprise Knowledge Search
By fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to thousands of financial professionals, shifting their focus from manual work to high-value decision making.
Automated diligence : Rogo integrates private data rooms, generates tailored question lists, offers writing assistance, and helps track client interactions, saving analysts up to 10 hours each week...
Rogo adapted OpenAI’s secure models to tackle the unique challenges of financial work. By fine-tuning OpenAI’s models and integrating vast datasets such as S&P Global, Crunchbase, and FactSet, the...
Saved analysts 10+ hours per week on tasks like meeting prep, company profiling, and market research.
Solution
By fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to thousands of financial professionals, shifting their focus from manual work to high-value decision making. Saved analysts 10+ hours per week on tasks like meeting prep, company profiling, and market research. using OpenAI’s models to power their solutions.
Data flow
By fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to thousands of financial professionals, shifting their focus from manual work to high-value decision making. using OpenAI’s models to power their solutions.
Solution architecture
- Compute
- OpenAI API Embeds model capabilities inside the customer’s application or internal workflow.
- GPT-4o Extracts, interprets, and reasons over multimodal or unstructured inputs inside the workflow.
- o1 Handles high-depth reasoning across complex analytical tasks.
Architecture clues
- By fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to...
- Embeds model capabilities inside the customer’s application or internal workflow.
- Extracts, interprets, and reasons over multimodal or unstructured inputs inside the workflow.
- Saved analysts 10+ hours per week on tasks like meeting prep, company profiling, and market research.
- using OpenAI’s models to power their solutions.
Evidence from the source
By fine-tuning OpenAI’s models and integrating a broad set of financial datasets such as S&P Global, Crunchbase, and FactSet, Rogo delivers real-time financial intelligence to...
Saved analysts 10+ hours per week on tasks like meeting prep, company profiling, and market research.
using OpenAI’s models to power their solutions.
Transparency Evidence & methodology
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
How scores are calculated
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Customer reference value95/100
- Problem clarity20/20Measures whether the customer's operational problem is specific enough to compare.
- Implementation depth20/25Rewards named components, data flow, integrations, and architecture detail.
- Outcome specificity20/20Measures whether the reported benefit is concrete rather than a generic claim.
- Quantified impact25/252 metrics describe measurable impact.
- Deployment scale10/10Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence84%
- Source authority20/25The main evidence is an official vendor-published customer story.
- Claim traceability21/2510 of 12 key fields link to a named source.
- Direct evidence15/203 direct source quotes retained.
- Date provenance10/10The publication date comes from the source page or publisher.
- Source transparency8/101 source reference document publisher, URL, authority, retrieval, and supported fields.
- Implementation specificity10/10Rewards source-backed components, data flow, quantified impact, and a specific outcome.
Traceability
Sources & provenance
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
- https://openai.com/index/rogo/OpenAIFirst-party
Rogo customer story
Supports- Customer
- Business problem
- Solution
- Products
- Solution components
- Data flow
- Integrations
- technical area
- use case category
- Business outcome
- outcome category
- Metrics
- Architecture
- evidence quotes
- Publication date
Date evidence
- Published on source page Dec 11, 2024 · OpenAI · First-partyOpen date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.
Related
Similar use cases
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