Equilateral
GOVERNANCE-FIRST AI

The Governance Control Plane for AI Agents

Deploy autonomous agents across any model, IDE, and cloud—without sacrificing auditability or control. From solo builders to global enterprises—Equilateral adapts through deployment and isolation, not different products.

Start Building See How It Works
Scales with you. Start local, grow to teams, evolve to enterprise—governance stays consistent.
What is EA-Agile?

Equilateral is a governance control plane that scales with you. Start as a solo builder running agents locally, grow into a team with shared policies, and evolve into an enterprise with formal audit and isolation—all without changing platforms.

You don't buy a faster engine when you're worried about liability. You buy a safer car.

→ Flexible deployment — from lightweight local execution to fully isolated enterprise environments
→ IDE-agnostic governance — works with Cursor, Claude Code, GitHub Copilot, or any tool
→ Multi-model intelligence — automatic routing across frontier models
→ Configurable auditability — from development logs to formal compliance trails

Deployment models and isolation levels adapt to your needs; governance remains consistent.

What makes Equilateral different

Governance control plane for teams that can't afford drift.

01
Governance-First Architecture
Specialist agents with explicit roles, policy-enforced execution, and audit trails. Not a wrapper on GPT—a control system for AI operations.
Result: Kill switches that work. Standards that stick. Policies that execute.
02
Multi-Model Intelligence
We continuously benchmark models so you don't have to. Know which model works best for each task type. Reduce AI costs through intelligent selection.
Result: Optimal model per task without running your own benchmarks
03
Your Boundaries, Enforced
Configure isolation to match your requirements—from local development to fully isolated VPC deployments. The governance plane enforces your boundaries consistently across environments.
Result: Built for teams where "the AI decided to help" isn't acceptable
Deployment options

Deployment and isolation models that adapt to you.

Equilateral supports multiple deployment and isolation models—from lightweight local execution to fully isolated enterprise environments—without changing the governance plane.

Local to Enterprise

Start simple, scale when needed

Run locally for development, deploy to shared infrastructure for teams, or provision fully isolated environments for enterprise. The governance plane adapts without platform changes.

Local development
Team deployment
Enterprise isolation
Consistent governance
Your Infrastructure

Deploy where your data lives

Run in your AWS, GCP, or Azure account. Deploy via Marketplace or private VPC. Air-gapped options available for classified environments. Governance plane works the same everywhere.

AWS/GCP/Azure
Marketplace deploy
Private VPC
Air-gapped ready
Enterprise capabilities

When you need formal compliance, it's ready.

When needed, Equilateral supports auditability, formal policy enforcement, and isolation suitable for regulated environments—Finance, Healthcare, Government, F500.

Tenant isolation by default
Runs in your cloud account or VPC. Tenant boundaries enforced at the infrastructure level. This isn't an enterprise add-on—it's how the platform works.
Control plane isolation
The governance control plane does not access customer code or prompts. Policy enforcement and audit logging operate independently of execution environments.
Full audit trails
Every decision logged with reasoning. Compliance teams can see exactly what happened and why. No black boxes.
Private deployment
Run inside your VPC, your cloud, your rules. AWS Marketplace deployment. Air-gapped options available for classified environments.
SOC 2 / HIPAA compatible
Designed for regulated workloads. The audit trails, access controls, and data handling you need for compliance are built in.
Kill switches that work
Capability-bounded agents with explicit roles. Policy-enforced execution paths. Blast radius limits. Stop anything, anytime.
Multi-Model Consensus: Why This Matters
Critical decisions require agreement from multiple independent AI models before execution. No single model has unilateral authority.
Single-Model (Typical)
EA-Agile
Model selection
Manual, static
Automated, continuous testing
Hallucination risk
Single point of failure
Caught by peer models
Cost optimization
Fixed pricing
Dynamic routing optimizes cost
Data isolation
Shared infrastructure
Tenant-isolated by default
Vendor lock-in
High
Model-agnostic
The development lifecycle

From product idea to production code—continuously improving.

Ships with a default execution engine, with optional extension or replacement. Governance remains consistent regardless of execution environment.

Stage 01
Spec
Define what you're building. The platform selects optimal models for requirements analysis and architecture.
Stage 02
Build
Generate code with the right model for each task. Tests, documentation, and reviews run in parallel.
Stage 03
Deploy
Ship to production with full audit trails. Every decision logged, every output explainable.
Stage 04
Optimize
Continuous improvement within your tenant. Model routing refines. Your next project benefits from your own outcomes.
Every execution logged with full audit trails. Governance and compliance built into every step.
Deployment options

Your infrastructure or ours. Your data stays yours.

Choose the deployment model that fits your security and compliance requirements. Both options maintain complete tenant isolation.

Managed SaaS
We run the infrastructure. You focus on building. Fastest time to value with zero operational overhead.
• Get started immediately
• Automatic updates and improvements
• SOC 2 compliant infrastructure
AWS Marketplace
Deploy in your own AWS account. Your data never leaves your VPC. Full control over infrastructure.
• Your AWS account, your control
• Data stays in your VPC
• Integrate with existing security controls
Both deployment options provide identical capabilities with complete tenant isolation. Choose based on your infrastructure and compliance requirements.
Cost optimization

Intelligent model routing reduces costs significantly.

Most tasks don't need GPT-4 or Claude Opus. Our platform automatically routes to the optimal model for each task type.

Code review
Use smaller models
Claude Haiku vs Opus, comparable quality
Test generation
Specialized routing
Task-specific models outperform generalists
Documentation
Right-sized models
Match model capability to task complexity
Complex reasoning
Premium when needed
Frontier models only when justified
Intelligent routing learns YOUR codebase patterns within YOUR isolated tenant—savings improve over time.
What already exists

This isn't a roadmap. This is running.

✓
Multi-model benchmarking
Continuous testing across real-world scenarios
✓
Full lifecycle tooling
Spec → Code → Test → Deploy → Learn
✓
Multi-model consensus
No single model has unilateral authority
✓
Enterprise audit trails
Decision-level observability and compliance
✓
AWS Marketplace ready
Customer-hosted or fully managed options
✓
Tenant isolation by default
Your code and data never leave your environment
Common questions

Questions enterprise teams ask

Does my code get shared with other customers?
No. Every tenant is isolated by default. Your code, prompts, and outputs never leave your environment. There is no cross-tenant data sharing unless you explicitly opt into aggregated benchmarks (anonymized, no code).
How do you improve the platform without shared learning?
Model benchmarks are aggregated from public datasets and opt-in anonymized metrics (response quality scores, latency, token counts—no code or IP). Your tenant learns from your own execution history. Platform intelligence comes from continuous model testing against standardized benchmarks.
Can we deploy in our own infrastructure?
Yes. AWS Marketplace deployment runs entirely in your VPC. Your data never leaves your account. Managed SaaS also maintains strict tenant isolation with SOC 2 compliance.
What compliance certifications do you have?
SOC 2 Type II compliant infrastructure. HIPAA-ready architecture. Every decision logged with full audit trails. We work with your compliance and legal teams during onboarding.
Get started

Ready to build with governance-first AI?

Join teams using EA-Agile to ship faster with full compliance and audit trails.

For architecture and governance discussions:

architecture@equilateral.ai

For deployment and licensing inquiries:

info@equilateral.ai

Next steps
• Define intended use and regulatory context
• Align on deployment model (SaaS or AWS Marketplace)
• Establish evaluation scope and boundaries