01
Pay only for what you use
Access models and AI capabilities through usage-based pricing, without managing GPU infrastructure or paying for idle resources.
Fully managed infrastructure for self improving AI.
DefaultLayer is the full-stack AI orchestrator for your workflow. You own your data and intelligence, while we provide the operation layer to connect your tools and data, deploy models, agents, and continuously self improve.
100%Data ownership
0Infra to manage
AutoSelf-improvement
MinutesTo deploy
A complete AI stack, working together.
From model selection and agent configuration to deployment, governance, and continuous improvement. Every layer works together to power your AI workflows.
Choose your models
Select from available models or deploy your own. Configure the models that power different tasks.
Model selection
Reasoning model
Hosted model
Code generation
Hosted model
Your own model
Private deployment
Configure agents and harnesses
Choose managed agent orchestrators or connect external agent harnesses to your models.
Execution environment
Managed orchestrators
OpenCode · Hermes
External harnesses
Claude Code · Codex
Select an execution environment for your workflow.
Connect tools, permissions and data
Connect your existing data sources, APIs, and tools. Define what agents can access and which actions they are allowed to perform.
Data sourcesAPIs & toolsPermissions
Connected resources
Database
Data access
APIs
Endpoints
Tools
Actions
Storage
Documents
Permission policies
ReadWriteExecute
Orchestrate and govern
Manage the entire stack through one operational layer. Coordinate execution, enforce policies, and monitor actions across your AI systems.
System operations
Model services
ManagedAgent execution
ManagedInfrastructure
ManagedGovernance
Policy enforcement
Risk monitoring
Monitor and improve
Monitor usage and execution traces, evaluate responses, detect weaknesses, and improve models and agents through ongoing optimization.
Performance monitoring
Tracks execution traces
Active responses evaluation
Improvement life cycle
Monitor
Evaluate
Improve
Usecases across every workflow.
Build and operate AI systems for software, research, business, and specialized workflows, all through one platform.
01Software Engineering
Coding agents, code review, debugging, and software testing.
02Research & Development
AI research, algorithm development, experimentation.
03Model training & evaluation
Train, fine-tune, evaluate, and optimize models for your applications.
04Autonomous & intelligent systems
Computer vision, robotics, physical automations, and real-world data evaluation.
05Scientific simulations
Physical modeling, molecular simulations, drug discovery, and scientific experimentation.
06Business operations
Customer support, process automation, and internal assistants.
07Industry-specific workflows
AI applications for healthcare, finance, manufacturing, and logistics.
08Personal AI systems
Personal assistants, task automation, scheduling, and productivity.
09Data & analytics
Data analysis, business intelligence, forecasting, and reporting.
10Sales & marketing
Lead qualification, customer insights, content, and campaign automation.
Everything you need, nothing you have to manage.
Focus on building and using AI systems. DefaultLayer takes care of the infrastructure, deployment, and operations behind them.
02
Your usage stays yours
Keep control of your data and deployments with isolated environments, controlled access, and clear boundaries around how your data is used.
03
Tailored to personal workflows
Configure models, agents, tools, and data around your specific requirements, from individual tasks to complex, connected workflows.
04
Dedicated hosting when you need it
Run models and agents on dedicated infrastructure with greater control over deployment resources, availability, and performance.
05
Scale without provisioning
Start small and scale as your workloads grow. DefaultLayer manages the underlying infrastructure as your AI usage and requirements change.
Build with DefaultLayer.
Reach out to discuss your requirements, explore what's possible with DefaultLayer, and find the right setup for your AI workloads.