
CTGT provides an enterprise AI risk-management and performance platform that prevents LLM hallucinations, enforces compliance, and accelerates model deployment for regulated industries. It uses AI,…

CTGT provides an enterprise AI risk-management and performance platform that prevents LLM hallucinations, enforces compliance, and accelerates model deployment for regulated industries. It uses AI,…
What they do: Enterprise AI risk-management and performance platform for controlling and auditing LLMs
Primary customers: Fortune 500 and regulated enterprises (finance, healthcare, legal, security)
Founded: 2023
Stage / funding: Seed; reported total funding roughly $7.2M (reports vary)
HQ: San Francisco, United States
Controllability, interpretability, compliance, and risk management for large language models used in regulated and mission‑critical enterprise applications.
2023
Data and Analytics
7000000
Reported Seed round recorded on February 20, 2025
500000
Earlier reporting listed $500,000 raised (date not specified)
“Backed by a mix of institutional investors (Gradient, General Catalyst, Y Combinator) and notable angel/AI industry backers (François Chollet, Paul Graham, Michael Seibel, Peter Wang, Mike Knoop, Wes McKinney, Taner Halicioglu and others)”
At CTGT, we believe that true intelligence requires foundational mathematical understanding of learning, and that accelerating timelines to AGI is the most important factor in solving humanity's most pressing problems. We think the "black box" of deep learning has led to increasingly complex architectures that have huge amounts of compute thrown at them. Our unique vantage point enables us to understand and shape the behavior of the world's most powerful models, working with Fortune 500s to make their AI reliable. If you're interested in challenging the status quo of learning and joining a highly collaborative team of world-best experts working at the forefront of intelligence, get in touch.
Requirements:\ Currently pursuing a Bachelor's program, majoring or intending to major in Computer Science or related technical fields.\ Experience in one or more general purpose programming languages.\ Excellent programming skills (e.g., Javascript, Python).\ Capability to clearly communicate technical concepts to individuals across an organization regardless of their background.\ Ability to complete a full-time, 10-12 week internship between May/ June and August/Sept 2026\ Familiarity with Git, AWS, and GCP necessary.
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