Checkpoint.codes
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Founded 2026 · AI Infrastructure for Engineering Teams

Every checkpoint.Every line of code.

Checkpoint.codes unifies LLM training recovery, CI/CD quality gates, and AI-driven code compliance into one control plane — so your team ships faster without losing safety.

Start your checkpointWatch platform demo
SOC 2 ready architectureSub-second gate evaluationMulti-cloud checkpoint storage

99.99%

Checkpoint durability SLA

<200ms

Quality gate latency

40+

Policy packs for compliance

3

Pillars in one platform

Three pillars. One control plane.

Built for the new stack of AI engineering

From billion-parameter training runs to pull-request reviews, Checkpoint.codes keeps progress safe at every stage.

Model Checkpoints

Resume training without losing momentum
Version, deduplicate, and restore LLM weights across regions. Automatic lineage tracking keeps every experiment reproducible.
  • Incremental snapshot scheduling
  • Cross-region failover restore
  • Experiment lineage graph

Quality Gates

CI/CD gates that actually gate
Define policy-as-code thresholds for tests, coverage, performance, and security scans — enforced before merge, not after incident.
  • Pipeline-native integrations
  • Composable gate policies
  • Real-time merge blocking

Code Sentinel

AI compliance before production
Continuous vulnerability and license scanning with AI-assisted remediation suggestions. Stop risky code at the checkpoint.
  • OWASP & supply-chain rules
  • AI fix recommendations
  • Audit-ready evidence trails

Platform

One pane of glass for engineering velocity

Stop juggling fragmented tools. Checkpoint.codes gives leaders and builders the same source of truth — from the latest model snapshot to the last blocked PR.

  • Unified dashboard for models, pipelines, and code risk
  • Policy-as-code with Git-native versioning
  • Enterprise SSO and role-based access controls
  • Deploy on Cloudflare, AWS, GCP, or self-hosted
Explore the platform

$ checkpoint status --all

model/gpt-finetune-v3 · snapshot ready

pipeline/main · gate passed (4/4)

repo/api-service · sentinel 1 advisory

All systems checkpointed. Safe to resume training & deploy.

How it works

From raw code toverified checkpoint

A single workflow that spans model training, delivery pipelines, and security posture — designed for teams that cannot afford rollback roulette.

01

Connect your stack

Link training clusters, Git providers, and CI runners in minutes. No agent sprawl — one unified API.

02

Define your checkpoints

Set snapshot cadence for models, gate policies for pipelines, and compliance rules for code — all as versioned config.

03

Ship with confidence

Every merge, deploy, and training resume passes through the same checkpoint layer. Full visibility, zero blind spots.

Ready to checkpointyour next release?

Join forward-thinking engineering teams using Checkpoint.codes to move fast without breaking trust, compliance, or continuity.

Request early accessTalk to our team