Intelligent Query Planning
The system decomposes complex research questions into focused sub-queries automatically. A vague question like 'assess market opportunity' becomes 5-7 specific, searchable questions that ensure comprehensive coverage.
Case study
Financial Services Firm
90% time reduction
Research that took days now completed in minutes.
A financial services firm built a custom deep research system that delivers faster, more thorough analysis while meeting strict compliance requirements.
90% Time Saved
5x More Reports Produced
100+ Sources Per Query
01 · The challenge
Where they were stuck.
A financial services firm needed deep research capabilities for market analysis, due diligence, and competitive intelligence. Consumer AI research tools (ChatGPT, Claude, Perplexity) offered impressive capabilities, but fell short of enterprise requirements. The problems were clear: no source transparency, no data privacy guarantees, no customization for their specialized domain, and no way to integrate research into existing workflows via API.
02 · The solution
What we built.
We built a custom deep research agent designed for enterprise deployment:
Semantic Search Integration
The agent uses semantic search optimized for AI applications, surfacing relevant sources that traditional keyword matching misses: academic papers, industry reports, and niche publications.
Quality-Ranked Content Extraction
The system finds sources, then extracts and ranks the most relevant passages from within them. Neural reranking ensures the best content rises to the top, even when processing hundreds of sources.
Structured Report Generation
Research findings are synthesized into executive-ready reports with proper citations, source categorization, and confidence levels. No copy-pasting or manual formatting required.
03 · The results
What changed.
The firm didn't just get faster research, they got research that meets their standards.
№ 01
100+ sources processed per query
Comprehensive research that would take a human analyst days to compile.
№ 02
Complete data privacy
Self-hosted deployment means sensitive queries and findings never leave the firm's control.
№ 03
Domain-specific customization
The system understands financial terminology, relevant sources, and the specific patterns that matter for their research needs.
№ 04
API-first integration
Research capabilities are accessible via API, enabling integration into existing tools and workflows rather than requiring analysts to use yet another interface.
In their words
Off-the-shelf AI research tools couldn't meet our compliance requirements and workflows. Now we have something more powerful that we fully control. Head of Research, Financial Services Firm
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