Gimlet Labs website screenshot

Gimlet Labs

Gimlet Labs is an applied research lab building high-performance AI infrastructure — inference systems, schedulers, and compilers optimized for agentic and multimodal AI workloads across heterogeneous hardware. Its products include Gimlet Cloud, an agent-native serverless managed inference cloud for deploying single- and multi-agent systems that combine LLMs, multimodal and diffusion models, code sandboxes, web search, and custom data sources with automatic scaling; and kforge, a tool that autonomously generates optimized low-level PyTorch kernels across CUDA, ROCm, and Metal backends (NVIDIA, AMD, Intel, Apple) without manual kernel writing. The lab's research spans autonomous kernel generation, SLA-aware scheduling of multi-stage agent workloads across datacenters, edge/cloud workload partitioning, an MLIR-based universal AI compiler, headless DPU/accelerator hardware architectures, and cost-aware optimization for multitenant environments. Gimlet Labs is backed by Menlo Ventures. As of mid-2026 the developer surface is largely pre-launch, with a waitlist and access-gated documentation; no public OpenAPI, SDKs, or MCP server were found during enrichment.

Gimlet Labs is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, AI Infrastructure, Machine-Learning, and Inference.

Gimlet Labs’ developer surface includes documentation, engineering blog, support, and 10 more developer resources.

🌐 Visit website 📡 Source on GitHub
15.6/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0
AccessApproval
0 APIs
CompanyArtificial IntelligenceAI InfrastructureMachine-LearningInferenceAgentsCompilersGPUServerless

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0
Composite quality — 15.6/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 2.4 / 20
Access Clarity 5.8 / 20
Operational Transparency 1.7 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/gimlet-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Gimlet Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Gimlet Labs Vulnerability Disclosure

contact published

SECURITY

Gimlet Labs Trust Center

SOC 2 Type 2, ISO 27001

SECURITY

Resources

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt
LLMsTxt

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter
TrustCenter
 Compliance
Compliance
 VulnerabilityDisclosure
VulnerabilityDisclosure
 Security
Security
 DomainSecurity
DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support
Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: gimlet-labs
name: Gimlet Labs
description: Gimlet Labs is an applied research lab building high-performance AI infrastructure — inference systems, schedulers,
  and compilers optimized for agentic and multimodal AI workloads across heterogeneous hardware. Its products include Gimlet
  Cloud, an agent-native serverless managed inference cloud for deploying single- and multi-agent systems that combine LLMs,
  multimodal and diffusion models, code sandboxes, web search, and custom data sources with automatic scaling; and kforge,
  a tool that autonomously generates optimized low-level PyTorch kernels across CUDA, ROCm, and Metal backends (NVIDIA, AMD,
  Intel, Apple) without manual kernel writing. The lab's research spans autonomous kernel generation, SLA-aware scheduling
  of multi-stage agent workloads across datacenters, edge/cloud workload partitioning, an MLIR-based universal AI compiler,
  headless DPU/accelerator hardware architectures, and cost-aware optimization for multitenant environments. Gimlet Labs is
  backed by Menlo Ventures. As of mid-2026 the developer surface is largely pre-launch, with a waitlist and access-gated documentation;
  no public OpenAPI, SDKs, or MCP server were found during enrichment.
url: https://raw.githubusercontent.com/api-evangelist/gimlet-labs/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- menlo-ventures
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: approval
  trial: false
  try_now: false
  public: false
  label: Requires approval
  confidence: medium
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
image: https://gimletlabs.ai/og-image.png
tags:
- Company
- Artificial Intelligence
- AI Infrastructure
- Machine-Learning
- Inference
- Agents
- Compilers
- GPU
- Serverless
tags_raw:
- Company
- Artificial Intelligence
- AI Infrastructure
- Machine Learning
- Inference
- Agents
- Compilers
- GPU
- Serverless
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://gimletlabs.ai
- type: Documentation
  url: https://gimletlabs.ai/docs
- type: Blog
  url: https://gimletlabs.ai/blog
- type: Support
  url: https://gimletlabs.ai/contact_us
- type: GitHubOrganization
  url: https://github.com/gimletlabs
- type: TermsOfService
  url: https://gimletlabs.ai/legal/terms_and_conditions/terms_of_service
- type: PrivacyPolicy
  url: https://gimletlabs.ai/legal/terms_and_conditions/privacy_policy
- type: TrustCenter
  url: https://trust.gimletlabs.ai
  x-artifact: security/gimlet-labs-trust-center.yml
- type: Compliance
  url: https://gimletlabs.ai/legal/security/certifications
- type: VulnerabilityDisclosure
  url: security/gimlet-labs-vulnerability-disclosure.yml
- type: Security
  url: https://gimletlabs.ai/legal/security/response
- type: DomainSecurity
  url: security/gimlet-labs-domain-security.yml
- type: LLMsTxt
  url: llms/gimlet-labs-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence