01
Your infrastructure
Deploy on your cloud or self-hosted Kubernetes.
Examples
AWS
Google Cloud
Azure
Kubernetes
Enterprise AI automationSoftware factory deployment
Your AI software factory.Your cloud. Your controls.
We will map one consequential workflow, the systems it crosses, and a deployment path around your requirements.
Book a free consultation
SOC 2 Type II Certified
Deploy on
Microsoft Azure
Self-hosted Kubernetes
Bring your own stack
Build on what your team already trusts.
Your infrastructure, data, models, and operational signals stay central to the deployment design.
02
Your database
Bring PostgreSQL and pgvector in your own database.
Examples
RDS
Cloud SQL
Azure PG
Lakebase
03
Your models + gateway
Use your models and approved LLM gateway.
Examples
Anthropic
OpenAI
Bedrock
Gemini
Portkey
OpenRouter
04
Your observability
Connect your existing metrics and telemetry tools.
Examples
PostHog
Prometheus
OpenTelemetry
Grafana
Governed agent work
Enterprise-grade controls and guardrails.
Audit and trace all agent activity. Set custom policies and permissions for the users and agents on your Floor.
Control flow
01
Policy
Define user and agent permissions.
02
Action
Run work inside those guardrails.
03
Trace
Keep activity available for audit.
Consultation agenda
Start with one workflow. Plan the factory around it.
Bring your constraints. We will turn them into a practical first deployment plan.
Map the work
Where does your team spend the most time keeping work moving between people, agents, and tools?
Design the deployment
Review your cloud, data, model, security, and observability requirements.
Scope a first Floor
Choose a practical rollout and the outcome your team needs to prove.