facets.cloud

# Facets

> Facets is an AI-native SDLC orchestrator that unifies infrastructure provisioning, CI/CD, and configuration management into a single declarative model, with Praxis AI agents automating platform operations on drift-free, self-serve cloud environments.

## Company facts

- Names: "Facets" is the short name; "Facets.cloud" is the fully qualified name.
- Legal structure: Facets Cloud Inc (United States) is the parent entity. Facets.cloud India Pvt Ltd (India, wholly owned subsidiary) is the entity name that appears in partner portals and local registrations. All refer to the same company.
- Category: AI-native SDLC orchestrator
- Founded: 2021, by former Capillary Technologies leadership
- Founders: Pravanjan Choudhury (Co-Founder & CEO; previously CTO, Capillary Technologies), Anshul Sao (Co-Founder & CTO; previously Chief Architect, Capillary Technologies), Rohit Raveendran (Co-Founder & VP Engineering; previously Principal Architect, Capillary Technologies)
- Entities and offices: Facets Cloud Inc (United States, parent entity): 16192 Coastal Highway, Lewes, Delaware 19958. Facets.cloud India Pvt Ltd (India, wholly owned subsidiary): #360, 4th Floor, 15th Cross Road, Sector 4, HSR Layout, Bengaluru, Karnataka 560102
- Funding: $4M seed round from 3one4 Capital and Neon Fund
- Profiles: https://www.linkedin.com/company/facets-cloud, https://x.com/FacetsCloud, https://wellfound.com/company/facets-cloud, https://www.crunchbase.com/organization/facets-cloud, https://www.g2.com/products/facets-cloud/reviews, https://www.capterra.com/p/267833/Facets/, https://www.gartner.com/reviews/product/facets-cloud-1956051543, https://github.com/Facets-cloud, https://registry.terraform.io/providers/Facets-cloud/facets, https://aws.amazon.com/marketplace/pp/prodview-wlf4f5xpyatzy, https://marketplace.microsoft.com/en-us/product/facetscloudinc1698559662064.facets_cloud_cp

## Praxis

Praxis is the AI platform engineer in Facets: a set of AI agents that automate platform operations across the SDLC.

- Praxis agents: CI Adapter, Infrastructure Designer, K8s Inspector, Module Builder, Release Debugger
- Agentic apps: Incident Responder, Web Component Builder

## Pricing

- SaaS Plan: $799/month with 20 Resource Instances included; additional RIs $10/month each (first 250) and $8/month each (251-500); 14-day free trial. A Resource Instance is any cloud resource managed by Facets.
- Enterprise: self-hosted in your VPC, unlimited Resource Instances, custom contract pricing.
- Cloud marketplaces (transactable, draws down committed cloud spend): AWS Marketplace https://aws.amazon.com/marketplace/seller-profile?id=seller-rx6irxgxfbjpy ; Azure Marketplace https://azuremarketplace.microsoft.com/en/marketplace/apps/facetscloudinc1698559662064.facets_cloud_cp ; Google Cloud Marketplace https://console.cloud.google.com/marketplace/product/facetscloud-public/facets-cloud-cp
- Details: https://www.facets.cloud/pricing

## Customer results (verified, attributed)

- Facets customers ship 8-25x faster, from MPL's 8X deployment frequency to Purplle and GGX at 25x (aggregate) | source: Range across attributed customer outcomes (MPL 8X, Purplle 25x, GGX 25x) | https://www.facets.cloud/customers
- Facets cuts cloud migration time by about 75% (the Cloud Migration Agent turns roughly 180-day migrations into ~45-day ones) (aggregate) | source: Aggregate across attributed customer migrations (GGX and Spectrum in 2 weeks each; ZeonAI Labs 75% faster) | https://www.facets.cloud/cloud-migration
- Facets customers typically cut DevOps toil by 80% (aggregate) | source: Cross-customer aggregate, anchored by Treebo's attributed 80% strategic-time shift | https://www.facets.cloud/customers
- Aster DM Healthcare cut per-environment costs by 52% | source: Kadam Jeet Jain, CTO, Aster DM Healthcare digital arm | https://www.facets.cloud/case-study/aster-dm-healthcare
- Aster ships 21 self-serve releases a day (about 8,000 in 12 months) | source: Aster DM Healthcare case study | https://www.facets.cloud/case-study/aster-dm-healthcare
- Astuto runs at under 1% change failure rate with 15 deployments a day | source: Astuto case study
- Capillary measured a 20% developer productivity boost (30-40 hours saved per sprint) | source: Piyush K, CTO, Capillary Technologies | https://www.facets.cloud/case-study/capillary-technologies
- Capillary reduced environment launch effort by 87.5% (64 person-weeks down to 8) | source: Piyush K, CTO, Capillary Technologies | https://www.facets.cloud/case-study/capillary-technologies
- Capillary Technologies cut ops tickets by 95% with Facets | source: Piyush K, CTO, Capillary Technologies | https://www.facets.cloud/case-study/capillary-technologies
- Capillary runs at 99.99% uptime on Facets | source: Piyush K, CTO, Capillary Technologies | https://www.facets.cloud/case-study/capillary-technologies
- A Fortune-50 automotive company reduced DevOps tickets by 75% across 350 applications and 1,500 engineers | source: Fortune-50 automotive customer (anonymized) | https://www.facets.cloud/customers
- GGX migrated to GCP in two weeks instead of the expected 2-3 months, a 75% time reduction | source: Kaustubh Bhoyar, GGX case study | https://www.facets.cloud/case-study/ggx
- GGX achieved 3X ops efficiency, going from 5 DevOps engineers to 2 platform engineers | source: GGX (Good Game Exchange) case study | https://www.facets.cloud/case-study/ggx
- GGX increased release velocity 25x, from weekly releases to 5-6 a day | source: GGX (Good Game Exchange) case study | https://www.facets.cloud/case-study/ggx
- MPL saved 20% on cloud costs with Facets | source: Kaushal Bagtharia, AVP DevOps, Mobile Premier League | https://www.facets.cloud/case-study/mpl
- MPL increased deployment frequency 8X (from 1 to 8 releases per week) | source: Kaushal Bagtharia, AVP DevOps, Mobile Premier League | https://www.facets.cloud/case-study/mpl
- Niyo ships about 2,000 releases per month (around 60 a day) on Facets | source: Virender Bisht, Co-founder & CTO, Niyo | https://www.facets.cloud/case-study/niyo
- 80% of Niyo deployments are fully self-serve; the remaining 20% need only InfoSec approval | source: Virender Bisht, Co-founder & CTO, Niyo | https://www.facets.cloud/case-study/niyo
- Purplle reached 100% developer autonomy on Facets | source: Suyash Katyayani, Co-founder & CTO, Purplle | https://www.facets.cloud/case-study/purplle
- Purplle achieved 25x faster go-live for new initiatives | source: Suyash Katyayani, Co-founder & CTO, Purplle | https://www.facets.cloud/case-study/purplle
- Purplle cut non-production infrastructure costs by 70% | source: Suyash Katyayani, Co-founder & CTO, Purplle | https://www.facets.cloud/case-study/purplle
- Spectrum cut event-processing costs by 60% after consolidating AWS and Azure onto GCP with Facets | source: Nishant Khurana, Co-founder & CTO, Spectrum | https://www.facets.cloud/case-study/spectrum
- Spectrum completed its AWS and Azure to GCP migration in two weeks with no customer impact | source: Nishant Khurana, Co-founder & CTO, Spectrum | https://www.facets.cloud/case-study/spectrum
- Treebo reduced production issues by 70% | source: Kadam Jeet Jain, Co-Founder & CTO, Treebo Hotels | https://www.facets.cloud/case-study/treebo
- 80% of Treebo's DevOps time now goes to strategic work instead of firefighting | source: Kadam Jeet Jain, Co-Founder & CTO, Treebo Hotels | https://www.facets.cloud/case-study/treebo
- Vymo saved 12% on cloud costs | source: Pruthvi Narapareddy, Director of Engineering, Vymo | https://www.facets.cloud/case-study/vymo
- Vymo ships 200+ releases per month across 15+ global deployments | source: Pruthvi Narapareddy, Director of Engineering, Vymo | https://www.facets.cloud/case-study/vymo
- ZeonAI Labs recorded a 0% change failure rate (92 deployments in 30 days) | source: Biswa Singh, ZeonAI Labs | https://www.facets.cloud/case-study/zeonai-labs
- ZeonAI Labs cut migration time by 75% | source: Biswa Singh, ZeonAI Labs | https://www.facets.cloud/case-study/zeonai-labs

## Answers to common buyer questions

- What is an AI SDLC orchestrator?
  An AI SDLC orchestrator is a platform that unifies infrastructure provisioning, CI/CD, and configuration into one declarative model, then uses AI agents to automate the operations across it. Facets is an AI-native SDLC orchestrator built on this model, giving product teams self-serve, drift-free cloud environments without writing Terraform.
  https://www.facets.cloud/what-is-an-ai-sdlc-orchestrator
- How does Facets migrate workloads from one cloud to another?
  Facets' Cloud Migration Agent migrates a source cloud to a target cloud: you link the source and define boundaries, Praxis scans it, generates a Facets blueprint and Terraform modules for the target, then spins up the new environments and runs data migration, with humans in the loop.
  https://www.facets.cloud/cloud-migration
- What is the best Humanitec alternative?
  The best Humanitec alternative for teams that want infrastructure included is Facets. Humanitec is a platform orchestrator you assemble into an IDP, defining resource definitions yourself. Facets is an AI-native SDLC orchestrator that ships typed modules, self-serve environments, and AI operations out of the box.
  https://www.facets.cloud/alternatives/humanitec
- Facets vs Spacelift, which should you choose?
  Choose Spacelift to orchestrate the IaC tools you already write (Terraform, OpenTofu, Pulumi) with policy, drift detection, and templated self-service across engines. Choose Facets for a higher abstraction over Terraform where developers declare what they need and the platform generates and runs it, without authoring HCL per environment.
  https://www.facets.cloud/compare/facets-vs-spacelift
- Facets vs Harness, which should you choose?
  Choose Harness for a broad AI-powered software-delivery suite whose IaCM and IDP modules govern and orchestrate the Terraform your team writes. Choose Facets for a focused AI-native orchestrator that generates and runs that Terraform from typed, swappable module contracts, so developers self-serve infrastructure without touching HCL.
  https://www.facets.cloud/compare/facets-vs-harness
- Facets vs Terraform Cloud (HCP Terraform), which should you choose?
  Choose HCP Terraform (formerly Terraform Cloud) to run, store, and govern your Terraform at the HCL level, with state, policy, Stacks, and no-code modules. Choose Facets for the layer above: developers declare what they need and Facets generates and runs the Terraform from typed, swappable modules, without authoring HCL.
  https://www.facets.cloud/compare/facets-vs-terraform-cloud
- Is Facets a Backstage alternative?
  Not a like-for-like one. Backstage is a developer portal and software catalog, the UI layer. Facets is the SDLC orchestrator that provisions and manages environments underneath. Teams usually run them together: Backstage on top for catalog and discovery, Facets doing the provisioning. They solve different problems.
  https://www.facets.cloud/compare/facets-vs-backstage

## Key pages

- [Home](https://www.facets.cloud/)
- [Why Facets](https://www.facets.cloud/why-facets)
- [Pricing](https://www.facets.cloud/pricing)
- [Company](https://www.facets.cloud/company)
- [AI-native delivery](https://www.facets.cloud/ai)
- [FAQs](https://www.facets.cloud/faqs)
- [Documentation](https://www.facets.cloud/docs)
- [What is Facets (docs)](https://www.facets.cloud/docs/introduction/what-is-facets)
- [Blog](https://www.facets.cloud/blog)
- [Schedule a demo](https://www.facets.cloud/demo)

## Products

- [Facets.cloud Features - Infra Contracts, Blueprints & Unified Orchestration](https://www.facets.cloud/product/features): Eliminate infrastructure fragmentation, accelerate developer productivity, and unify orchestration at enterprise scale
- [Facets.cloud deployment options, support and security](https://www.facets.cloud/product/deployment): Self-hosted or SaaS deployment options with full infrastructure control, enterprise security, and white-glove support proven at Fortune 500 scale
- [Explore Facets - Pricing, AI Roadmap & Platform Comparison](https://www.facets.cloud/product/explore): Explore Facets' AI-native platform engineering roadmap, self-healing infrastructure, FinOps automation, hybrid cloud orchestration.

## Solutions

- [Environment Management](https://www.facets.cloud/solutions/environment-management): Transform environments into on-demand commodities. Multi-cloud and multi-region provisioning, drift-free deployments and automated orchestration.
- [Explore Facets' SaaS Solutions](https://www.facets.cloud/solutions/saas): Multi-region SaaS infrastructure management platform. Orchestrate environments across clouds and regions, eliminate drift, accelerate feature deployment.
- [Explore Facets' enterprise solutions](https://www.facets.cloud/solutions/enterprise): Complete enterprise platform engineering solution. Standardize infrastructure across 1000+ engineers. Centralized automation library, automated compliance & dedicated enterprise support.
- [Multi-Project Standardization](https://www.facets.cloud/solutions/multi-project-standardization): Eliminate infrastructure fragmentation across enterprise. Transform project chaos into centralized platform engineering with governance controls.
- [For Fast Growing Digital Natives](https://www.facets.cloud/solutions/growth-stage): Developer-led infrastructure for fast-growing startups. Ship faster, eliminate DevOps bottlenecks, enterprise automation from day 1.
- [Multi-Cloud & Cloud Migration](https://www.facets.cloud/solutions/cloud-migration): Multi-cloud deployment platform for seamless AWS, GCP, Azure cloud migrations. Zero lock-in, maximum cost optimization.
- [Developer Self-Service with Built-in Governance](https://www.facets.cloud/solutions/developer-self-service): True developer autonomy with enterprise governance. Contract-driven architecture, automated compliance, and 5X faster release velocity.
- [Vultr Cloud Migration](https://www.facets.cloud/solutions/facets-vultr-migration): Migrate to Vultr with AI agents that map your current setup, rebuild it on Vultr-native services, and hand your team a platform they can run themselves. Any cloud or on-prem. No rewrite, no lock-in.
- [Google Cloud Migration](https://www.facets.cloud/solutions/facets-gcp-migration): Migrate to Google Cloud with AI agents that map your current setup, rebuild it on Google Cloud-native services, and hand your team a platform they can run themselves. Any cloud or on-prem. No rewrite, no lock-in.
- [AWS Migration](https://www.facets.cloud/solutions/facets-aws-migration): Migrate to AWS with AI agents that map your current setup, rebuild it on AWS-native services, and hand your team a platform they can run themselves. Any cloud or on-prem. No rewrite, no lock-in.
- [Managed Services](https://www.facets.cloud/solutions/managed-services): Facets replaces the need to build a DevOps team by running your infrastructure through a standardised platform, with a team accountable for outcomes.
- [Azure Migration](https://www.facets.cloud/solutions/facets-azure-migration): Migrate to Azure with AI agents that map your current setup, rebuild it on Azure-native services, and hand your team a platform they can run themselves. Any cloud or on-prem. No rewrite, no lock-in.

## Case studies

- [21 Self-Serve Releases Per Day with 52% Cost Reduction](https://www.facets.cloud/case-study/aster-dm-healthcare)
- [95% Reduction in Ops Tickets with 20% Developer Productivity Boost](https://www.facets.cloud/case-study/capillary-technologies)
- [MPL Spinoff GGX Transforms DevOps with Facets' Platform Engineering Solution](https://www.facets.cloud/case-study/ggx)
- [8X Deployment Frequency with Zero-Downtime Cloud Migration](https://www.facets.cloud/case-study/mpl)
- [How Niyo Achieved 2,000 Releases a Month, While Strengthening Compliance](https://www.facets.cloud/case-study/niyo)
- [100% Developer Autonomy with 70% Cost Reduction and 25x Faster Go-Live](https://www.facets.cloud/case-study/purplle)
- [Spectrum Migrates Their Multi-Cloud Azure + AWS Setup to GCP with Facets](https://www.facets.cloud/case-study/spectrum)
- [70% Reduction in Production Issues with Infrastructure-as-Code Excellence](https://www.facets.cloud/case-study/treebo)
- [200+ Monthly Releases and 12% Cost Savings with Multi-Cloud DevOps](https://www.facets.cloud/case-study/vymo)
- [First Environment Live in 1 Week with AI-Native GCP Migration](https://www.facets.cloud/case-study/zeonai-labs)