The Future of AI-Native Software Delivery
Evolved from orchestration platform to building comprehensive organizational context
Next-Generation AI Agents
Self-Healing Infrastructure
Autonomous system repair with safe change propagation
- Detect issues using orchestrator context
- Diagnose problems across multiple tool chains
- Propagate fixes safely without breaking organization guard-rails
- Learn from patterns to prevent similar issues
FinOps Agents
Automated actions from FinOps triggers
- Integrates with FinOps Tools and creates remediation plans
- Analyze the context to assess risk and resolution process
- Automated PRs to blueprints to propagate changes in a safe way
- Assess Turn around time and optimize
Data & ML Workloads
Native support for data operations
- Native support for data workloads like Databricks, Snowflake
- Empower DataOps teams
- ETL, warehouse & Notebook change propagation
- Opensource Spark, airflow reference implementation
Hybrid Cloud
Expand cloud horizon
- Integrate with various sovereign and private clouds across geography
- k3s, rancher and various k8s distributions
- Efficient models for hybrid cloud support
- On-premise native support
In the Labs
Launching early 2026
Infrastructure from code
Automated infrastructure from application code. Scan application code and suggest optimal infrastructure configuration
Unified Cloud Intelligence
Bring all SDLC data at one Data Warehouse. Standardize organization wide metrics, Build CTO Dashboards and analyze productivity
Marketplace of contract-driven IaC
Community contributed contract-driven IaC. Contribute and consume community-led reusable IaC modules with built-in best practices
Product Comparison
Why Orchestration Beats Alternatives
DIY Platform Reality
What enterprises attempt
- Custom platforms for each workload
- 30+ Manual Tool integrations
- Project-specific maintenance
- High cost of the building process
- 12-18 months to partial functionality
Facets Delivers
Production-ready platform
- Pre-built contracts
- Reusable automation blocks
- 85% reduction in maintenance
- Proven at scale
- 4-8 weeks to production
DIY Platform Reality Check
Facets vs GitOps Solutions (ArgoCD, Flux)
Philosophy
Duct tape for existing systems
Coordination for new systems
Infrastructure
Assumes it already exists
Orchestrates provisioning first
Dependencies
No awareness between layers
Handles automatically across stack
Tool Coordination
Manual coordination required
Automated across all chains
Configuration
Manual setup of URLs, secrets
Auto-discovery via contracts
Deployment Scope
Kubernetes-only focus
Full-stack orchestration
Traditional Teams vs Facets-Powered Teams
Team Focus
Ticket processors
Innovation enablers
Environment Creation
Days to weeks waiting
Minutes self-service
Process
Separate infra/app workflows
Unified deployment pipeline
Standardization
Fragmented across teams
Enforced through contracts
Security
Audited after deployment
Built into contracts
Knowledge
Trapped in individuals
Codified in platform
Market Position
Gartner® Recognition
Featured in multiple Gartner® reports
- Hype Cycle™ for Platform Engineering, 2024 & 2025
- Hype Cycle™ for SRE 2024 & 2025
- Market Guide for Infrastructure Automation & Orchestration 2025
- Reference Architecture Brief: Infrastructure Platform Engineering, 2025
Industry Partnerships & Events
Strategic partnerships and recognition
- CNCF Silver Member
- Techcrunch Disrupt 2022
- Thought leadership in Infrastructure Platform Engineering Category
- AIxDevOps podcasts and office hours
Ready to Experience the Future?
See why leading companies choose orchestration over DIY platforms and context-driven AI in SDLC.