Praxis AI (Vortexify)

Praxis AI is a Y Combinator (Fall 2024) company that now operates as Vortexify (vortexify.ai). Vortexify is an AI-native platform that generates operational software directly from a company's data: teams connect data sources through 20+ prebuilt connectors (PostgreSQL, MySQL, SQL Server, MongoDB, BigQuery, Redshift, Snowflake, NetSuite, Oracle, S3, Azure Blob, Google Sheets/Drive, SharePoint and more), describe requirements in plain English, and AI agents plan, code, test and deploy backend logic plus custom frontends with no infrastructure to manage. The platform emphasizes building complete apps on operational data rather than just dashboards, with built-in scheduling, serverless compute execution, role-based access control, audit logs, sandboxed environments, token-based authentication, and SOC 2 Type II compliance. Praxis AI was founded by Aditya Tewari (ex-Palantir) and Ransika Liyanage (ex-Tesla, GM, Deloitte), originally focused on manufacturing-specific AI agents for predicting and preventing machine failures. This profile was surfaced as a portfolio company of Y Combinator. Vortexify does not currently publish a public developer API, SDK, or OpenAPI specification.

Praxis AI (Vortexify) is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, No-Code, Data Integration, and Application Development.

Praxis AI (Vortexify)’s developer surface includes documentation, pricing, signup flow, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

15.7/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceNo-CodeData IntegrationApplication DevelopmentAI AgentsAutomationManufacturing

Kin Score

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scored 2026-07-28 · rubric v0.5

Composite quality — 15.7/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 2.6 / 20

Commercial Clarity 6.3 / 20

Operational Transparency 0.0 / 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/praxis-ai-2: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Compliance

Compliance

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

Pricing

Pricing

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: praxis-ai-2
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://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/praxis-ai-2.png
name: Praxis AI (Vortexify)
description: 'Praxis AI is a Y Combinator (Fall 2024) company that now operates as Vortexify (vortexify.ai). Vortexify is
  an AI-native platform that generates operational software directly from a company''s data: teams connect data sources through
  20+ prebuilt connectors (PostgreSQL, MySQL, SQL Server, MongoDB, BigQuery, Redshift, Snowflake, NetSuite, Oracle, S3, Azure
  Blob, Google Sheets/Drive, SharePoint and more), describe requirements in plain English, and AI agents plan, code, test
  and deploy backend logic plus custom frontends with no infrastructure to manage. The platform emphasizes building complete
  apps on operational data rather than just dashboards, with built-in scheduling, serverless compute execution, role-based
  access control, audit logs, sandboxed environments, token-based authentication, and SOC 2 Type II compliance. Praxis AI
  was founded by Aditya Tewari (ex-Palantir) and Ransika Liyanage (ex-Tesla, GM, Deloitte), originally focused on manufacturing-specific
  AI agents for predicting and preventing machine failures. This profile was surfaced as a portfolio company of Y Combinator.
  Vortexify does not currently publish a public developer API, SDK, or OpenAPI specification.'
url: https://raw.githubusercontent.com/api-evangelist/praxis-ai-2/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-rebrand:
  former-name: Praxis AI
  current-name: Vortexify
  website: https://www.vortexify.ai
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- No-Code
- Data Integration
- Application Development
- AI Agents
- Automation
- Manufacturing
apis: []
common:
- type: DomainSecurity
  url: security/praxis-ai-2-domain-security.yml
- type: Website
  url: https://www.vortexify.ai
- type: Documentation
  url: https://www.vortexify.ai/docs
- type: Pricing
  url: https://www.vortexify.ai/pricing
- type: SignUp
  url: https://www.vortexify.app/create-account
- type: Login
  url: https://www.vortexify.app/sign-in/
- type: Support
  url: mailto:support@vortexify.ai
- type: Compliance
  url: https://www.vortexify.ai/security
- type: LLMsTxt
  url: llms/praxis-ai-2-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1