Medium · Jun 2026
Founder-authored article showing live usage of Scalar Field to research, backtest, and deploy agentic trading strategies, including event-driven workflows and venue-connected execution.
Reinventing the trading terminal — one intelligent agent at a time.
Company research
Public company, workplace, funding, and market signals
Updated Jul 29, 2026
Overview
Scalar Field is a YC Spring 2025 financial-services startup building an AI agentic trading desk for market research, backtesting, and live execution. Its product lets traders go from thesis to backtest to live portfolio in one workflow, with scalarlib, integrated market data, and broker/venue connections.
Primary product
Agentic trading desk / quantitative research platform (scalarlib)
Founded
2024
Headquarters
New York, New York, United States
Team size
1-10
Work style
Remote
Industry
Financial Services
Sub-industry
AI trading infrastructure / quantitative research platform
Offices
New York, New York, United States
Seattle, Washington, United States
Business model
subscription SaaS
usage-based compute and data credits
trading/execution fees
enterprise licensing
Funding
Stage
seed / pre-seed
Total raised
$500K
Latest round
Seed · Jun 2025
Latest amount
$500K
Jun 2025
People & investors
Work & culture
Research-heavy, trader- and engineer-led, experimentation-first, and internet-native; the team emphasizes AI/quant workflows, rapid iteration, and building trading infrastructure for markets.
Work style
Remote
Compensation
Publicly listed internship work is unpaid, with certificates, recommendations, and possible paid/full-time opportunities for strong performers. No broader salary bands were found publicly.
Benefits
remote-first US-based roles
intern certificates and recommendations
possible paid/full-time opportunity for high performers
Product & market
Pricing
Monthly or annual subscriptions (Pro, Ultra, Enterprise) with usage-based credits and venue/trade fees on some integrations.
Differentiators
- —thesis-to-backtest-to-live portfolio workflow in one place
- —natural-language creation of trading agents
- —persistent agent state across sessions
- —multi-venue execution across brokerages, DEXs, and prediction markets
- —event-driven execution with roughly 300 ms event-to-trade latency
- —integrated research compute and datasets
- —paper trading support
Technology
scalarlib
Python
LLM agents
event-driven execution
market data pipelines
Docker
Kubernetes
React
Redux
Django
JavaScript
HTML
Alpaca
Robinhood
Public.com
Polymarket
Jupiter DEX
Hyperliquid
Customers
retail traders
trading teams
quantitative traders
investment teams
market researchers
Competitors
Bloomberg Terminal
AlphaSense
Yodlee
Uzabase
Zero2IPO Group
Scale & contact
Estimated revenue
≈$0.9M annualized (based on $74K monthly revenue)
Estimated monthly visits
16.2K
Traffic estimate as of Dec 2025
Latest news
Fondo · Feb 2026
Launch recap repeating the company’s trading-terminal positioning and traction claims, and highlighting the platform’s intelligent-agent workflow for market hypothesis testing and execution.
Tekedia · Nov 2025
Investment announcement framing Scalar Field as a modern Bloomberg-style trading terminal with integrated datasets, backtesting, portfolio benchmarking, and event-driven trading research.
Startup Intros · Jun 2025
Funding report stating Scalar Field raised $500K in a seed round and naming investors Entrepreneur First, Matrix Partners India, Uncorrelated Ventures, and VitalStage Ventures.
Y Combinator · May 2025
Launch announcement describing Scalar Field’s agentic trading desk, its thesis-to-backtest-to-live workflow, and traction claims of roughly 800 paying traders, 34,000+ signups, and $74,000 in monthly revenue.
Jobs and careers at Scalar Field
0 jobs at Scalar Field
No open positions
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