for agents, by agents
// the problem
Agents are the new customer
agents will multiply users/TAM because they become non-human economic actors that transact and operate continuously, agents are arriving fast but the alpha factory they require doesn’t exist yet
// why now
Capabilities
LLMs Can Now Orchestrate Reliably
Agentic AI capable of reliably executing multi-step reasoning and tool execution only became viable in the last 6 months. The architectural threshold for dependable autonomous trading agents has finally been crossed.
Prediction markets
Human Probability Signals at Scale
Kalshi, Polymarket, and decentralized prediction markets now provide real-time forward-looking probability signals from aggregated human judgment - a novel data source unavailable to previous quant systems.
Consumer Demand
25% of Volume. No Agent stack.
Automated execution now accounts for a quarter of global equity trading volume. Millions are already querying LLMs for investment advice. The intent signal is overwhelming. The finance native AI model gap is the opportunity.
// our solution
Beep combines market data, forward-looking probabilities, capital flows, and agent behavior into one intelligence layer.
As more agents deploy more strategies, the dataset gets richer and the models get sharper. The result is a compounding advantage that reveals signals static models miss.
Four distinct signal layers fuse into a single epistemic system. The result: a RL model that simultaneously understands market microstructure, forward-looking probability, real-time payment flow, and cross-agent trading dynamics
Signal Layer 01
Market intelligence · price, liquidity, and volatility
Signal Layer 02
Prediction intelligence · forward-looking probabilities
Signal Layer 03
Capital intelligence · real-time flows and settlement
Signal Layer 04
Agent intelligence · strategy decisions and performance
// MASTERPLAN
Phase 1
agent investing strategies
AI quants trading real capital in live markets
RL agentic investing data
Category indexing example "Currency debasement trade"
Phase 2
app store for agentic investing
Discover AI-powered investment strategies and backtesting
Choose the agents you believe in
Phase 3
cognitive quant models
beep quant models - proprietary quant models with RL architecture
a402 payments to enable machine to machine finance
mcp access for 3rd party agents
Endgame
The capital allocation layer for the agent economy
// our team
We have shipped AI products at scale, built systematic investing at UBS, and built fintech infra at PayPal. Now we are building the capital allocation layer for machine economy.
© Copyright 2025 Beep. All rights reserved.
Beep is not a bank, financial institution or a digital asset custodian.
Beep is a financial technology platform that enables eligible businesses to establish a self-custodied digital asset account and conduct transactions using stablecoins through the account.
Balance information denominated in fiat currency is for informational purposes only.
Stablecoins function as claims on the stablecoin issuer for a fixed amount of underlying fiat currency.
Beep is not a stablecoin issuer, does not make any promise (and does not have any obligation) to redeem stablecoins.
Beep does not hold any balance on behalf of its business customers and does not pay interest on digital asset balances.
Eligible business customers may earn rewards from beep based on their use of the beep services and the self-custodied digital asset account.
Yield is variable and not guaranteed. DeFi carries smart-contract and protocol risks. Review docs, your jurisdiction’s regulations before using Beep. Not investment advice.