Lucidic AI GTM brain

Lucidic AI trains and optimizes custom AI agent models and harnesses using an organization's data and feedback.

category

AI agent training and optimization

market profile

  • text: Teams deploying agents must adapt general models, tools and memory to their own operational tasks.
  • text: Lucidic now emphasizes jointly training model weights and harnesses, while older launch material focused on agent observability.

personas

  • title: AI engineering lead
    pains:
    • General-purpose agents fail on company-specific workflows
    • Prompt, tool and memory changes are hard to optimize systematically
  • title: Applied ML researcher
    pains:
    • Weight-only training can demand substantial data and compute
    • Offline benchmarks may not reflect production trajectories
  • title: Head of AI product
    pains:
    • Agent performance must improve against business-specific metrics before rollout
    • Production failures make agent reliability difficult to demonstrate

icp

  • text: Organizations building production AI agents with traces, datasets, tools and measurable task outcomes.
  • text: Technical teams with enough AI engineering capacity to define reward functions and evaluate changes; company size is not specified.

message pillars

  • text: Optimize agent harness and model together around proprietary data.
  • text: Turn real production data into testable simulation environments.
  • text: Expose and optimize the full set of components driving agent behavior.

objections

  • objection: Our agent uses proprietary tools and data.
    response: Evaluate simulated environments built from production data with tools and data mocked.
  • objection: How do we know training improves our use case?
    response: Define task-specific metrics and compare held-out results before deployment.

competitors

  • name: LangChain
    why: Agent development and evaluation tooling overlaps with Lucidic's agent improvement workflow.
  • name: Arize AI
    why: AI observability and evaluation platform competes for teams measuring agent quality.
  • name: Maxim AI
    why: Agent evaluation and optimization tooling targets similar AI engineering teams.

influencers

  • name: Jeremy Tian
    url: https://www.linkedin.com/posts/jeremytian25_excited-to-share-more-of-what-ive-been-building-activity-7295881561453797376-vANn
    why: Founder publicly discussing Lucidic's agent development tooling.

keywords

  • AI agent training platform
  • agent harness optimization
  • LLM agent simulations
  • agent reinforcement learning
  • AI agent evaluation
  • custom model training

voice

  • technical and research-driven
  • educational analogies
  • focused on measurable reliability

signals

  • text: A team has deployed or is piloting AI agents and collected production traces with recurring failures.
  • text: An ML team is investigating task-specific fine-tuning, simulation or optimization of agent tools and memory.

stack

  • GPT-4
  • Claude
  • Gemini
  • Llama

hiring

  • Founding Applied Research Engineer
  • Member of Technical Staff

pricing

model: unknown

motion

sales_led

channels

  • research content
  • LinkedIn
  • Hacker News
  • founder-led sales

confidence

medium

Founders

  • name: Abhinav Sinha
    title: Founder/CEO
    role: CEO
    bio: Hi, I’m Abhinav the founder and CEO for Lucidic AI! I’m from Stanford where I studied Computer Science with an AI specialization (both bachelor's and master's) and did research at Stanford's AI Lab. I’ve worked at Apple as a software engineer and at Citadel Securities and Susquehanna International Group as a quant. In my free time, I like to play basketball, pickleball, lift, and rewatch Christopher Nolan movies! Feel free to reach out, would love to chat -- abhinav@lucidic.ai
  • name: Andy Liang
    title: Founder/CTO
    role: CTO
    bio: Founder/CTO at Lucidic AI, working on an analytics, testing, and simulations framework for AI agent devs. Stanford BS/MS Computer Science (AI specialization). Ex Citadel, AppLovin. Previously built GrocerCheck, a COVID-19 web app helping shoppers social distance effectively, with over 200,000 users and endorsed by the Government of Canada. Reach me at andy@lucidic.ai
  • name: Jeremy Tian
    title: Founder
    role: Founder
    bio: Hi! I'm Jeremy Tian, one of the founders and the Chief Scientist at Lucidic AI, working to explain your AI models' decisions. I have a BS/MS in Computer Science with an AI specialization from Stanford University. Ex. Quantitative Trader at DRW and software engineering/machine learning engineering at Steel Dynamics. Contact me at jeremy@lucidic.ai!

Back to YC companies