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 saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessApproval

0 APIs

Company Artificial Intelligence AI Infrastructure Machine-Learning Inference Agents Compilers GPU Serverless

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

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

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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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)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
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

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