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Guide Labs

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Guide Labs

Interpretable AI models and agents

guidelabs.ai
HQ: San Francisco, CA, USA
1-10
B2B

Company research

Public company, workplace, funding, and market signals

Updated Jul 30, 2026

Overview

Guide Labs is a San Francisco-based AI research company building inherently interpretable foundation models and an interpretable AI platform so users can trace, steer, and audit model outputs and training-data provenance.

Primary product

Clarity, an inherently interpretable AI platform powered by Steerling-8B

Founded

2023

Headquarters

San Francisco, California, United States

Team size

10-20

Industry

Research Services

Sub-industry

Interpretable AI / foundation models

Offices

San Francisco, California, United States

Business model

API
research preview
open-source releases
partner pilots

Funding

Stage

Seed

Total raised

$9.8M

Latest round

Seed · Nov 2024

Latest amount

$9.3M

Seed

Nov 2024 · Initialized Capital

$9.3M

Pre-Seed

Apr 2024 · Lombardstreet Ventures

$500K

People & investors

Leadership

Julius Adebayo

Co-Founder & CEO

Aya Abdelsalam Ismail

Co-Founder & CSO

Isaac Plant

Head of Operations and Business Development

Fulton Wang

Co-Founder

Nathaniel Monson

Founding Research Scientist

Investors

Brett Gibson
E14 Fund
Eric Norman
Initialized Capital
JJ Fliegelman
Jonathan Frankle
Kulveer Taggar
Lombardstreet Ventures
Pioneer Fund
Richard Aberman
Tectonic Ventures
Y Combinator

Work & culture

Mission-driven and research-heavy, with a strong emphasis on interpretability, reliability, and impact over formal credentials; the company explicitly encourages applicants who can demonstrate ability even without conventional background signals.

Compensation

Public job postings show pay transparency for some roles, including a Research Scientist Intern at $57/hour and a Research Engineer at $150k-$200k; broader compensation policy was not publicly disclosed.

Product & market

Pricing

API / research preview; no public pricing disclosed

Differentiators

  • —Interpretability is built into training rather than added post hoc
  • —Token generation can be traced to concepts and training data
  • —Concept steering can amplify or suppress behaviors without retraining
  • —Clarity provides an interactive platform on top of Steerling-8B
  • —Open-source model and code releases support inspection and reuse

Technology

Python
PyTorch
JAX
Docker
Vercel
Terraform
Kubernetes
Wandb
XLA/MLIR
AWS
GCP
Azure
HPC

Customers

researchers
domain experts
edge companies
regulated-industry organizations
scientific teams

Scale & contact

Estimated revenue

Third-party estimates vary widely, from roughly $440K ARR (GetLatka) to about $2.8M ARR (StartupHub); no company-filed revenue disclosure found.

Estimated monthly visits

6K

Traffic estimate as of Jun 2026

info@guidelabs.ai

Latest news

Introducing Clarity

Guide Labs blog · Jun 2026

Company announcement for Clarity, the first inherently interpretable AI platform, with concept explanations, training-data attribution, and concept steering.

Alignment Without Retraining: Auditing and Controlling Steerling-8B

Guide Labs blog · Mar 2026

Explains inference-time concept suppression and steering for safety/alignment, including reported reduction of harmful outputs from 80% to 29% without finetuning.

Interpretable Intelligence: AI you can Understand and Trust

Guide Labs blog · Mar 2026

Company essay framing its core thesis: models should be auditable, steerable, and understandable by design, with Steerling-8B as the proof point.

Guide Labs debuts a new kind of interpretable LLM

TechCrunch · Feb 2026

TechCrunch covered the launch of Steerling-8B, describing Guide Labs' approach to making every token traceable back to training data and positioning the company as a new entrant in interpretable LLMs.

Guide Labs Raises $9M in Seed Funding

FinSMEs · Dec 2025

Funding coverage describing a seed round led by Initialized Capital with participation from Tectonic Ventures, Y Combinator, Lombardstreet Ventures, E14 Fund, Pioneer Fund, and angels.

About usBlogClarity platformContact / waitlistGitHubHomepageHugging FaceLinkedIn companyXY Combinator
SourcesOfficial homepageAbout usBlogContact / waitlistPrivacy noticeLinkedIn company pageY Combinator profileGitHub repoHugging Face modelTechCrunch coverage

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