- Azure
- AI
- DevOps
- GenAI
AI-powered CRM for private equity investors
The core innovation is an AI-powered CRM platform that analyzes investment documents using OCR, LLMs, and metric extraction to generate structured insights. The platform enables investors to quickly review company overviews, compare deals, and receive AI-assisted analysis, significantly reducing manual work and accelerating investment decisions.
Industry
FinTech
Client
Under NDA
Region
USA
Main challenges
Business Challenge: Manual deal processing slowed investment decision-making
- Lack of instant deal benchmarking, comparison tools, and unified workflows
- Manual document processing, metric extraction, and time-consuming collaboration
- Need for secure and scalable infrastructure to support growing portfolios
Technical Challenge: Integrating multiple AI capabilities into a single CRM
- Integration of multiple AI components, including document processing, AI assistant, and data enrichment
- OCR processing and structured metric extraction from investment documents
- AI support for document analysis, company insights, and scoring
- Continuous quality monitoring and improvement of AI outputs
Delivery Challenge: Establishing trust in AI-driven investment tools
- Need to deliver PoC, MVP, and subsequent releases quickly.
- Complex AI functionality required stable development and deployment.
- The platform needed a reliable, scalable, and cost-efficient cloud infrastructure.
- AI features require continuous monitoring and improvement.
What we did
To address the client's needs, the team developed an AI-powered CRM platform tailored for private equity investors, integrating multiple AI capabilities into a single system. The solution combines advanced document processing and automated data pipelines to extract key investment metrics, enrich company data, and support faster deal evaluation.
We also implemented AI evaluation mechanisms using the LLM-as-a-Judge approach and Agentic Evals to continuously monitor and improve AI output quality. Built on a secure and scalable Azure cloud infrastructure based on DevOps best practices, the platform enables efficient workflows, intelligent insights, and reliable delivery of new capabilities.
65%
Reduction in time spent on investment research
10X
Faster deal screening and benchmarking across opportunities
100%
Scalable investment workflows without increasing analyst workload
40%
Improvement in deal conversion performance
AI-First CRM Architecture
- Designed and implemented an AI-First CRM platform tailored to Private Equity workflows
- AI is built into the foundation of the CRM and shapes how the platform processes data and generates insights, rather than acting as an add-on feature.
- Unified deal sourcing, pipeline management, and investment decision support within a single system.
Advanced AI and Data Processing
- Implemented an AI strategy based on the latest trends and assumptions about future investments in Agents, RAG (Retrieval-Augmented Generation), and Large Language Models (LLMs), ensuring high data accuracy and precision.
- Built data pipelines for OCR, document processing, key metric extraction, enrichment, and entity extraction.
- Enabled automated and key metrics extraction, documents, and structured data generation for decision support.
AI-Powered Product Features
- Delivered key user-facing AI capabilities, including document analysis, an AI assistant, company snapshots, and scoring tools.
- Provided instant deal benchmarking and comparison tools for investment committees.
- Introduced AI-driven email outreach, follow-ups, collaboration note-taking, and document generation.
AI Data Enrichment and Insights
- Developed an AI pipeline for extracting and enriching critical company performance metrics.
- Generated company insights and structured investment data using document analysis and open-source information.
Scalable Cloud Infrastructure
- Deployed the platform on secure and scalable Azure cloud infrastructure.
- Ensured reliability, flexibility, cost efficiency, and support for growing client portfolios and global users.
Quality Control and Continuous Delivery
- Implemented AI quality evaluation mechanisms, including LLM-as-a-Judge and tool-level performance metrics.
- Established CI/CD pipelines and DevOps best practices for rapid and reliable releases.
- Built a high-performing development team to deliver PoC, MVP, and further product iterations quickly and effectively.
Key results and business value
Manual document review replaced by automated analysis
Fragmented tools consolidated into a unified platform
Slow deal evaluation transformed into real-time insights
Manual workflows enhanced with AI-driven decision support
Features Delivered
Key Capabilities of the AI-powered CRM
- AI-powered document analysis using OCR and LLMs
- Automated extraction of key investment metrics
- Instant deal benchmarking and comparison
- AI assistant for research and data interaction
- Automated company snapshots and scoring
- Unified CRM for deal sourcing and pipeline management
Azure
React
Python
Github
Docker
Technical Highlights
AI-Driven Features
Implemented an AI strategy using RAG, LLMs, and Agent Orchestration for document processing
Custom CRM Development
Designed and implemented an AI-first CRM platform tailored to private equity workflows
Data Extraction Pipelines
Developed AI pipelines for OCR document processing, metric extraction, and data enrichment
Product Features
Delivered document analysis, AI assistant, company snapshots, scoring, and deal benchmarking tools
Cloud Infrastructure
Utilized Azure for a secure, scalable, and cost-efficient infrastructure, ensuring high performance
Quality Optimization
Implemented LLM-as-a-Judge and tool-level metrics for continuous AI evaluation and quality monitoring
Efficient Development
Established CI/CD pipelines and DevOps practices to efficiently deliver PoC, MVP and subsequent releases
Client Feedback
"The platform dramatically reduces the time required to analyze investment information. Tasks that previously took days can now be completed in hours, while consistent insights across deals help investment teams make faster and more confident decisions."
Chief Technology Officer
Client
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