Inspiration

This project was inspired by my experience in business development across corporate and government initiatives.

I repeatedly saw that aligning the right partnerships takes 3–6 months — not because opportunities don’t exist, but because information is fragmented, constantly changing, and manually tracked.

Business development today is reactive.

I wanted to design a system that makes it continuous and intelligent.

What it does

The Autonomous Business Development Intelligence Agent:

Understands company strategy

Monitors ecosystem signals (events, campaigns, funding)

Detects strategic alignment

Ranks opportunities using scoring logic and embeddings

Learns from accepted and rejected outcomes

Instead of months of trial and error, it delivers ranked, adaptive opportunities in real time.

How we built it

The system includes:

A Company Brain Agent (LLM via Amazon Bedrock)

A Market Signal Scanner

A ClickHouse memory layer

An Alignment & Scoring Engine

A Feedback & Learning Agent

It integrates Slack for notifications and ElevenLabs for executive voice briefings.

We built a live enterprise-style prototype to simulate adaptive scoring behavior.

Challenges we ran into

The biggest challenge was ensuring the system was truly self-improving — not just automated.

Designing a meaningful feedback loop within hackathon time constraints required simplifying the architecture while preserving recursion and learning logic.

Accomplishments that we're proud of

Designed a recursive, scalable architecture

Integrated LLM reasoning, embeddings, analytics, and feedback learning

Built a live demo prototype

Demonstrated adaptive scoring logic

We moved beyond static automation into structured agentic intelligence.

What we learned

Agentic systems are not just about AI usage — they require:

Structured memory

Clear scoring

Measurable outcomes

Continuous optimization

Recursion is what makes it intelligent.

What's next for VictVest

Next, we plan to:

Expand real-time signal ingestion

Deploy a production backend

Introduce predictive partnership forecasting

Customize for enterprise and government BD teams

Our goal is to transform business development into a continuously learning intelligence layer.

Built With

  • amazon
  • api
  • bedrock
  • clickhouse
  • dashboard
  • elevenlabs
  • embeddings
  • enterprise
  • llm
  • similarity
  • slack
  • v0.dev
  • vector
  • vercel
  • web
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