Multi-agent AI system for a venture platform
#Fintech #AI #Multi-Agent #Automation
Project definition
Location
Client
Project type
Industry
Service list
ML Engineering / Computer Vision
DevOps
Back-end Development
Team size
L-Size (9+ engineers)
Budget
$250,000+
Task
The venture platform needed to automate critical processes: deal sourcing and qualification, onboarding new users, interview scheduling, and communication with investors through messengers. The main goal is to reduce manual workload and increase decision-making speed
Solution
Ftech-IT developed a multi-agent AI system for the venture platform, automating onboarding processes, deal qualification, interview scheduling, and communication via Web, Telegram, WhatsApp, and LinkedIn. The system involves over 10 specialized agents, whose work is coordinated through a centralized orchestrator. The architecture is modular, scalable, and adapted to handle increased load and new business scenarios. Users interact with the platform through any channels without losing context. A unified verification and identity management system has been implemented. The platform enables the venture team to make quick decisions, minimize routine tasks, and enhance user engagement through intelligent support across any channel
Impact
The implementation of our multi-agent AI system transformed the venture platform's operations by automating critical workflows, which resulted in a 50% reduction in manual effort for deal sourcing and scheduling and doubled the speed of investor interview confirmations. Furthermore, the platform drove a 25-30% increase in response rates across messaging channels like WhatsApp and Telegram, and now seamlessly handles over 10,000 investor interactions monthly while maintaining complete context across all communication platforms
💡  This is an AI-CORE project
💡  This is an AI-powered project
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Unified User Identity
The platform creates a single, persistent identity for each user, enabling seamless conversations and continuous context across web, WhatsApp, Telegram, and LinkedIn without any data loss
Real-Time Deal Intelligence
Enabled live tracking of deal flow and investor interactions, dramatically accelerating decision-making for the venture team
50% Reduction in Manual Workload
By automating critical workflows like deal sourcing, qualification, and scheduling, the platform cut manual administrative tasks nearly in half, freeing experts for high-value work
Scalable Foundation for Growth
Built on a modular architecture that efficiently supports thousands of monthly interactions and is ready for rapid expansion into new markets
Development Process
We designed and built a multi-agent architecture with over 10 specialized AI agents coordinated by a supervisory orchestrator. The system unified onboarding, deal qualification, scheduling, and investor communications across Web, Telegram, WhatsApp, and LinkedIn. Built on FastAPI and Python with integrations such as Neo4j, Pinecone, Elasticsearch, and LangGraph, the solution combines adaptive reasoning flows with robust observability through Langfuse. Identity and access management were integrated to guarantee security and seamless user experience, while containerized deployment ensured scalability for future business growth
Technologies
Multi-agent AI system for a venture platform
Scalable multi-agent architecture that unifies user identity and automates venture processes across all communication channels
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