Koddle AI is invite only for now.

Share your technical requirements and team profile to join the review queue. We prioritize organizations training custom LLMs that require control over data lineage, architecture, evaluation, and deployment.

First Name

Last Name

Work Email

Organization

Role

Team Size

Primary Goal

Technical Details

Already Have Access

Selection Criteria

What we look for in early platform teams.

Invite approvals favor organizations with clear ownership of training data, strong infra requirements, and a measurable need for full-stack LLM development.

Data Ownership Private corpora, compliance controls, and provenance requirements

Compute Readiness Cluster strategy, budget envelope, and deployment constraints

Evaluation Rigor Benchmarks, release criteria, and safety gating expectations

Product Scope Vertical copilots, sovereign stacks, or specialized reasoning engines

review/intake.schema

required_fields:
  - operator_identity
  - organization_profile
  - target_model_class
  - expected_token_volume
  - compute_constraints
  - deployment_environment

queue_policy:
  invite_only: true
  technical_review_required: true
  priority_weight: domain_specificity + infra_complexity

Invite-only access is enforced during the early rollout.
Submissions are evaluated for technical fit and infrastructure maturity.
Approved teams receive workspace credentials and onboarding guidance.