Autoresearch, Inc.

Active · Autoresearch as a service: we solve your hardest measurable problems

YC S26

Website YC profile

Why it ranks

How the rank works

7signal of 100 · rising 7

went through YCProgram · this site+4
team of 3Team size · YC's directory+3.1

A sum of public facts, not a judgement and not investment advice.

Competitors

OsmosisShared: compute orchestration, post training, reinforcement learningYC W25San FranciscoStartup →AI

AshrShared: continual learning, post training, reinforcement learningYC W26San FranciscoStartup →AI

MonteShared: continual learning, reinforcement learning, infrastructureYC S25San FranciscoStartup →AI

HopperShared: post training, infrastructure, modelYC F26San FranciscoStartup →AI

CueBenchShared: post training, reinforcement learningYC S26San FranciscoStartup →

Companies closest to Autoresearch, Inc.
Company	Category	Status	Program
OsmosisShared: compute orchestration, post training, reinforcement learningYC W25ActiveAI, Devtools	AI, Devtools	Active	YCW25
AshrShared: continual learning, post training, reinforcement learningYC W26ActiveAI, Data	AI, Data	Active	YCW26
MonteShared: continual learning, reinforcement learning, infrastructureYC S25ActiveAI, Devtools	AI, Devtools	Active	YCS25
HopperShared: post training, infrastructure, modelYC F26ActiveAI, Devtools	AI, Devtools	Active	YCF26
CueBenchShared: post training, reinforcement learningYC S26ActiveAI, Data	AI, Data	Active	YCS26

Adjacent

Vibrant LabsShared: post training, reinforcement learning, methodYC W24San FranciscoStartup →AI

Miruvor AIShared: continual learning, model500 Global SF 37United StatesStartup →AI

RiftenShared: reinforcement learning, infrastructure, taskYC S26San FranciscoStartup →Developer tools

FernShared: continual learning, infrastructure, modelYC W26Startup →AI

UnifyShared: reinforcement learning, infrastructure, modelYC W23LondonStartup →

Companies next to Autoresearch, Inc.
Company	Category	Status	Program
Vibrant LabsShared: post training, reinforcement learning, methodYC W24ActiveAI, Devtools	AI, Devtools	Active	YCW24
Miruvor AIShared: continual learning, model500 Global SF 37Not statedAI	AI	Not stated	500 GlobalSF 37
RiftenShared: reinforcement learning, infrastructure, taskYC S26ActiveAI, Devtools	AI, Devtools	Active	YCS26
FernShared: continual learning, infrastructure, modelYC W26ActiveDevtools	Devtools	Active	YCW26
UnifyShared: reinforcement learning, infrastructure, modelYC W23ActiveAI, Devtools	AI, Devtools	Active	YCW23

Also from S26 in AI

All of S26

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Agnost AIWe find where AI agents fail, then train better models to run them.YC S26San FranciscoStartup →AI

ArchalAPI sandboxes, built for AI agentsYC S26San FranciscoStartup →AI

CoArenaThe biggest crowdsourced benchmark for Computer-UseYC S26San FranciscoStartup →AI

Experiential LabsOpen source AI gateway that turns your traffic into better modelsYC S26San FranciscoStartup →AI

InkboxThe identity and communication layer for AI agentsYC S26San FranciscoStartup →

Company	Category	Status
TokenlessWe find flaws in RL environments and evals and help you fix them.team of 3ActiveAI, Devtools	AI, Devtools	Active
Agnost AIWe find where AI agents fail, then train better models to run them.2 programsteam of 2ActiveAI, Data, Devtools	AI, Data, Devtools	Active
ArchalAPI sandboxes, built for AI agentsteam of 2ActiveAI, Devtools	AI, Devtools	Active
CoArenaThe biggest crowdsourced benchmark for Computer-Useteam of 2ActiveAI, Data, Devtools	AI, Data, Devtools	Active
Experiential LabsOpen source AI gateway that turns your traffic into better modelsteam of 2ActiveAI, Devtools	AI, Devtools	Active
InkboxThe identity and communication layer for AI agentsteam of 3ActiveAI, Devtools	AI, Devtools	Active

Founders

Karan BrarFounder/CEO
Thomas BoserFounder/CTO

About Autoresearch, Inc.

Autoresearch helps teams train agents for tasks where general models are not good enough. Give us a task, your current agent or model, and an evaluation. Autoresearch runs an autoresearch campaign across data, SFT and other post-training methods, continual learning, prompts, tools, harnesses, and systems, then returns the best verified improvement. It runs hosted or in your cloud. We provide the research system around models: persistent memory, full experiment lineage, compute orchestration, and statistical verification. We’re starting with agent and model training, continual learning, and optimization. Reach out to us for early access at founders@autoresearch.inc.

YC batch: S26 · Summer 2026
Status, per YC: Active
Category: AI, Developer tools
Team size: 3
Location: San Francisco, CA, USA
Founded: 2026
Checked: 6h ago

YC tags: Developer Tools, Machine Learning, Reinforcement Learning, Infrastructure, AI