Lara AI website screenshot

Lara AI

Lara AI is an AI agent for People and HR teams, built by SIGMA PEOPLE S.R.L. in Argentina and sold across Latin America. Lara talks to every employee in the messaging tools they already use — WhatsApp, Slack, Microsoft Teams and Google Chat — and covers five modules: Employee Experience (continuous listening, custom surveys and people analytics), Helpdesk (an AI help desk the company says automates over 80% of employee FAQs and requests), Onboarding (end-to-end automated flows for new hires), Comunicaciones (personalised, scheduled and segmented employee communications) and People Analytics (dashboards and reports built from people data). It integrates with HR platforms including SAP, BambooHR, Oracle, Buk, Humand, Mandu and Rex+, and targets retail, consumer goods, technology, consulting, banking and finance, education and manufacturing. Lara AI publishes a marketing site, a Spanish help centre and a real llms.txt, but no public API program — there is no developer portal, API reference, OpenAPI definition or SDK.

Lara AI is profiled on the APIs.io network. Tagged areas include Company, Human Resources, Employee Experience, People Analytics, and Onboarding.

Lara AI’s developer surface includes engineering blog, support, and 10 more developer resources.

13.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyHuman ResourcesEmployee ExperiencePeople AnalyticsOnboardingHelpdeskInternal CommunicationsArtificial IntelligenceConversational AILatin America

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 13.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 0.7 / 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/lara-ai: 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 1

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

Lara Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 1

Pricing, plans, and the legal terms of use

Company 4

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: lara-ai
name: Lara AI
description: 'Lara AI is an AI agent for People and HR teams, built by SIGMA PEOPLE S.R.L. in Argentina and sold across Latin
  America. Lara talks to every employee in the messaging tools they already use — WhatsApp, Slack, Microsoft Teams and Google
  Chat — and covers five modules: Employee Experience (continuous listening, custom surveys and people analytics), Helpdesk
  (an AI help desk the company says automates over 80% of employee FAQs and requests), Onboarding (end-to-end automated flows
  for new hires), Comunicaciones (personalised, scheduled and segmented employee communications) and People Analytics (dashboards
  and reports built from people data). It integrates with HR platforms including SAP, BambooHR, Oracle, Buk, Humand, Mandu
  and Rex+, and targets retail, consumer goods, technology, consulting, banking and finance, education and manufacturing.
  Lara AI publishes a marketing site, a Spanish help centre and a real llms.txt, but no public API program — there is no developer
  portal, API reference, OpenAPI definition or SDK.'
url: https://raw.githubusercontent.com/api-evangelist/lara-ai/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://meetlara.ai/assets/img/lara_visma.avif
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: enriched
x-tier-reason: portfolio-lead-no-public-api
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Human Resources
- Employee Experience
- People Analytics
- Onboarding
- Helpdesk
- Internal Communications
- Artificial Intelligence
- Conversational AI
- Latin America
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://meetlara.ai
- type: Blog
  url: https://meetlara.ai/blog/
- type: Support
  url: https://help.meetlara.ai/support/home
- type: Contact
  url: https://meetlara.ai/contacto
- type: PrivacyPolicy
  url: https://meetlara.ai/privacidad
- type: Login
  url: https://app.meetlara.ai
- type: GitHubOrganization
  url: https://github.com/meetlara
- type: LinkedIn
  url: https://www.linkedin.com/company/laraai/
- type: Instagram
  url: https://www.instagram.com/meet.lara.ai/
- type: LLMsTxt
  url: llms/lara-ai-llms.txt
- type: Conformance
  url: conformance/lara-ai-conformance.yml
- type: Integrations
  url: integrations/lara-ai-integrations.yml
- type: DomainSecurity
  url: security/lara-ai-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence