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
19.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessApproval
0 APIs
CompanyArtificial IntelligenceAI InfrastructureMachine LearningInferenceAgentsCompilersGPUServerless

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 19.2/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 3.0 / 20
Commercial Clarity 7.4 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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
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: '0.20'
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
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