Prospect 33 Tech Stack

AI and integration consulting for wholesale banking and capital markets

Financial Services New York, New York 51–200 employees Founded 2005 Privately Held

Prospect 33 operates a consulting practice focused on AI-driven transformation in wholesale banking, with a technical stack centered on LLM orchestration (LangChain, LangGraph, Claude) and vector search (Pinecone, Chroma). The engineering-heavy hiring mix—10 engineers across 12 active roles, mostly senior-level—combined with active projects in GenAI solution development and LLM-based workflow architecture, indicates the company is shifting from traditional consulting toward hands-on AI implementation rather than advisory alone.

Tech Stack 31 technologies

Core StackJavaScript TypeScript Python LangChain Pinecone GitHub Copilot Jira MuleSoft Node.js Kafka Redis Elasticsearch MongoDB SQL Server React Next.js Express Java HTML5 CSS REST API LangGraph Chroma Claude Anypoint Platform RAML OpenAPI Solace Socket.IO Zephyr+1 more

What Prospect 33 Is Building

◆Challenges

Messaging infrastructure challenges
Clm transformation program
Streamlining document-heavy workflows
Reducing manual processes
Enhancing decision-making
Legacy integration migration
High-volume transactional systems
Tight deadlines
Kcy/aml compliance
Client onboarding

▲Active Projects

Clm transformation program
Book-building platforms
Client-facing portals
Debt capital markets platforms
Book-building tools
Client portals
Genai solution development for capital markets
Llm-based workflow architecture
Vector database integration for document intelligence
Legacy integration migration

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Engineering

Data

Seniority

Senior

Mid

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About Prospect 33

Founded in 2005, Prospect 33 is a consulting firm based in New York that advises wholesale banking and capital markets institutions on AI adoption and operational modernization. The practice spans financial services consultancy, regulatory guidance, and technology change management, with recent focus on AI-enhanced risk management, customer engagement, and document processing. The company addresses legacy integration challenges, document-heavy workflows, and KYC/AML compliance automation—problems common in large financial institutions with aging infrastructure. Clients include investment banks and capital markets firms navigating CLM transformation, book-building platforms, and client onboarding automation.

HeadquartersNew York, New York

Company Size51–200 employees

Founded2005

Hiring MarketsCanada, India

Frequently Asked Questions

What AI and LLM tools does Prospect 33 use?

LangChain, LangGraph, Claude, Pinecone, and Chroma. These are used for GenAI solution development and vector database integration for document intelligence in capital markets workflows.

What is Prospect 33 working on?

GenAI solutions for capital markets, LLM-based workflow architecture, vector database integration for document intelligence, CLM transformation programs, and legacy system migration to reduce manual processes.