AI for Infrastructure as Code

Your AI can write the code.Now let it ship.

Facets gives AI coding agents like Claude Code access to production-ready infrastructure, while your platform team stays in control.

Book a demo

$ brew install --cask Facets-cloud/tap/praxis

AI coding agent

Add a payments service. Needs Postgres and an API. Deploy to staging.

You

Write code

Run tests

Build image

Facets received the request... provisioning in staging

Also add Redis for session caching. Same config we use for the orders service...
Orchestrator
  • Environment
  • Compute (Kubernetes)
  • Database (Postgres)
  • Cache (Redis)
  • Networking
  • IAM & Security
  • CI/CD Pipeline
  • Observability
Your cloud
  • AWS
  • Azure
  • Google Cloud

A three-part diagram. On the left, an AI coding agent is asked to add a payments service needing Postgres and an API, and to deploy it to staging. The agent writes the code, runs the tests and builds the image, then hands the infrastructure request to Facets, which is provisioning staging. In the middle, the Facets Orchestrator holds the environment, Kubernetes compute, a Postgres database, a Redis cache, networking, IAM and security, CI/CD pipelines and observability. On the right, those are provisioned into your own AWS, Azure or Google Cloud account.

In production at

AgNext
AskMyGuru
Aster
Astuto
Capillary
CoinSwitch
CommerceIQ
Fortune 50 Automotive
FourKites
GGX
INTEGRTR
MoveInSync
MPL
Niyo
PubMatic
Purplle
Refold AI
Rupicard
SaaS Labs
SimpliSmart
Snabbit
Spectrum
Tekion
Treebo
Vymo
ZeonAI Labs
Zyla
AgNext
AskMyGuru
Aster
Astuto
Capillary
CoinSwitch
CommerceIQ
Fortune 50 Automotive
FourKites
GGX
INTEGRTR
MoveInSync
MPL
Niyo
PubMatic
Purplle
Refold AI
Rupicard
SaaS Labs
SimpliSmart
Snabbit
Spectrum
Tekion
Treebo
Vymo
ZeonAI Labs
Zyla
Where code gets stuck

AI writes features in hours.
Infra takes weeks.

30+ tools need manual coordination per deploy
Developers wait weeks for environments
Every team needs custom infra setup
Senior engineers stuck on repetitive ops
Orchestration closes the gap

Deploy code as fast
as you merge.

Unified AI orchestration, zero manual steps
Self-service environments in minutes
Reusable blueprints, standardised deployments
Continuous reconciliation: zero drift, always
8-25x
Faster delivery, from MPL's 8X to Purplle and GGX at 25x
2K
Releases a month at Niyo, 80% fully self-serve
15 min
To launch a new environment from blueprint
How it works

Three Steps towards Intelligent Orchestration

Modern delivery is missing a unified model and a way to orchestrate it.

Facets platform
Platform team

Define Contracts

outputs that other modules can reuse

Exampledb.hostDefine contracts. A module publishes typed outputs other modules can reuse.
contracts exposed
Module Library
postgresdb.hostpostgres. A published module. It provides a connection contract, so the implementation can differ per cloud without the blueprint changing.
rediscache.hostredis. A published module. Elasticache, Memorystore or self-hosted all satisfy the same cache contract.
s3-bucketbucket.names3-bucket. A published module the current blueprint happens not to use. A library holds more than any one blueprint needs.
add a moduleAdd a module. Platform teams publish their own modules against the same contracts.
Developer / AI
Create a blueprint with: Ingress: Service 1 - Postgres, Service 2 - Redis.
building blueprint
type here to manage your infra
Ask Praxis. Plain language in, a blueprint out. Or hand the same request to the platform team.
Blueprint
ingressservice-1service-2postgresredisBlueprint. The resources the user asked for and how they connect.
Facets Orchestrator
Unified pipeline
infra changesinfra changes. A new module version, rolled out everywhere its contract is consumed.
config changesconfig changes. A blueprint or override edit, checked against the contracts before it plans.
artifact changesartifact changes. A new build. Same pipeline, same guardrails, no separate deploy script.
Environments
prodregionasia-south1replicas3auto-healprod on Google Cloud. The blueprint running in full: every resource the user declared, with the settings this environment runs it under.
  1. Platform teams build contracts. Centralized, reusable infrastructure modules behind standardized interfaces. One centrally sourced set, so nothing fragments across teams.

  2. Developers and agents compose the blueprint. Developers use those contracts to describe what their project needs. The blueprint is the single unified model of that architecture.

  3. Facets generates and runs. The orchestrator joins blueprints and contracts to create environments, delivering Terraform, Helm, CI/CD and monitoring with zero drift.

Core product

The control plane for your entire cloud.

Orchestrate environments, enforce blueprints, and eliminate drift, across every cloud and every team.

Environment orchestration

Provision and manage environments across clouds with versioned blueprints.

Self-service for developers

Infra on demand, no tickets. Platform teams set the guardrails.

Drift detection & remediation

Continuous reconciliation. Config drift caught and fixed automatically.

Multi-cloud management

AWS, GCP, Azure: one workflow, one view, one source of truth.

Governance & compliance

Policy-as-code baked into every deployment, at scale.

Cost visibility

Resource attribution per team and environment. Surface waste early.

Integrations

Your stack, described once.

Facets does not replace these. Each tool joins the model as context an agent can read and act on, and Facets keeps them consistent with what the harness declares.

Fig. 7.1 · Tools that join the governed model as context.

Extend further with any Terraform provider

Your AI platform engineer, in the terminal you already work in.

$ brew install --cask Facets-cloud/tap/praxis

Read the docs
Cloud & Infra Migration

On-prem, legacy, or cloud-to-cloud. We plan it, execute it, hand it over.

Zero-downtime, risk-staged migrations. Assessment to handoff: Facets owns the execution so your team owns the outcome.

Cloud and infrastructure migration architecture diagram

For the community

AI that runs your infrastructure. Ready to see it?

Book a 30-minute demo and see how Facets eliminates DevOps toil across your entire SDLC.