KelAI GTM brain

category

market profile

• text: Investment research involves fragmented data, tools and workflows; KelAI positions agents as a continuous research loop.
• text: Buyers can compare agent-based research with quant backtesting environments and AI signal research products.

personas

• title: Quantitative Portfolio Manager
  pains:

  • Research throughput limits the number of signals a team can investigate.
  • New ideas must be validated rigorously before influencing capital allocation.
• title: Head of Quant Research
  pains:

  • Research data and knowledge are scattered across systems.
  • Researchers repeatedly reproduce tests and struggle to compound institutional knowledge.
• title: Quant Developer
  pains:

  • Maintaining data, testing and research infrastructure diverts capacity from signal discovery.

icp

• text: Hedge funds and institutional investors running systematic or quantitative strategies are explicit targets; AUM and employee thresholds are not stated.
• text: Research teams with proprietary investment knowledge, multiple datasets and a repeatable signal testing process are a plausible fit.

message pillars

• text: Present an AI engine for investment research.
• text: Help teams discover and validate new ideas.
• text: Focus on an institutional buyer.

objections

• objection: How do we know discovered signals are robust rather than overfit?
  response: Evaluate out-of-sample results, transaction costs and reproducibility in a controlled pilot; no performance guarantee is implied.
• objection: Will our proprietary research and data remain protected?
  response: Review data handling, access controls and deployment terms directly before sharing sensitive inputs.
• objection: Our quant team already has a research stack.
  response: Test whether the system complements an existing research workflow and produces useful, independently verified hypotheses.

competitors

• name: QuantConnect
  why: Provides quantitative research and backtesting infrastructure.
• name: Kavout
  why: Offers AI-based investor research and signal discovery.
• name: HDGE
  website: https://hdgefinance.com/
  why: Offers agent-based quant research and backtesting for funds and trading desks.

keywords

• AI quant research platform
• hedge fund signal discovery
• automated alpha research
• quantitative strategy backtesting
• AI investment research
• systematic trading signal validation

voice

• Institutional
• Technical
• Research-oriented

signals

• text: A hedge fund is hiring quant researchers or expanding systematic strategies.
• text: An investment team is consolidating fragmented alternative data and research workflows.

hiring

• Quant Researcher
• Applied AI Engineer
• Senior Infrastructure Engineer

pricing

motion

channels

• website
• LinkedIn
• YC directory

confidence

Founders

• name: Jeremie Cohen
  title: Founder/CEO
  role: CEO
  bio: Founder and CEO of KelAI. Managed a large global systematic equity book at WorldQuant and lead an ML team at Millennium Management. Nuclear engineer by training.