01
Run
Execute agents and models on durable production runtimes.
agent-release/v18
Custom intelligence infrastructure
Deploy customintelligence.Keep the full lineage.
Build agents and models that improve from production experience. HuggingPlace connects observability, evaluation, governed data, optimization, training, and deployment—with complete history from the first signal to every running release.
Any framework Any model Cloud, private, or edge
Live lineage verified
Current production release
support-agent@v19
sha256: 8b41…c92e
Production signallinked
run-8F2 · tool refusal
Captured through OpenTelemetry
Evaluationlinked
support-quality@v7
Regression reproduced · score 0.61
Governed datalinked
escalations-2026-08
Schema valid · training allowed
Improvementlinked
candidate/v19-rc3
Prompt policy + adapter build
Running releaselinked
support-agent@v19
Approved · cloud + private edge
Every release answers what changed, why it changed, and where it runs.
Open capture
OTel + OpenInference
Continuous quality
Live and offline evals
Governed releases
Evidence before promotion
Portable runtime
Cloud · private · edge
The closed loop
Observability tells you what happened.
HuggingPlace governs what happens next.
A production failure should not die in a dashboard. Carry it into evaluation, governed data, improvement work, release evidence, and the next deployed version without breaking the chain.
02
Observe
Capture decisions, tools, quality, safety, cost, and latency.
trace/run-8f2
03
Evaluate
Score live behavior with shadow judges, suites, and review.
eval/support-v7
04
Improve
Turn evidence into governed data, optimized prompts, and models.
candidate/v19-rc3
05
Verify
Prove quality, policy, provenance, and release readiness.
gate/approved
06
Deploy
Canary, promote, or roll back across cloud, private, and edge.
runtime/prod-us
Intelligence system of record
History says when.Lineage explains why.
Trace every running behavior back through the evaluations, data, transformations, policies, builds, artifacts, reviews, and people that produced it. Move forward quickly without losing the ability to explain the result.
Versioned transform DAGs
Data ancestry and policy
Build and artifact provenance
Runtime and device history
Release evidence
Promotion gate
Published data schemaschema/support-v4
Validation evidencepassed · 12,840 records
Training-use policyallow_training · active
Regression suite47/47 gates passed
Artifact provenanceverified · signed
Deployment approvalplatform + risk
release/v19Ready for canary
One connected platform
Improve intelligence without losing control.
Understand
See the behavior behind every outcome.
Follow an agent across sessions, models, tool calls, runtimes, and human decisions without losing context.
- Open instrumentation
- Online and offline evaluation
- Cost and performance signals
Improve
Turn production evidence into better intelligence.
Move from a failure to a versioned test, governed dataset, preference pair, optimized artifact, or trained candidate.
- Failure-driven curation
- Prompt, policy, DPO, and training
- Candidate comparison and canaries
Prove
Answer what changed, why, and where it runs.
Preserve the causal chain across data, transforms, evaluation, builds, approvals, releases, and deployments.
- Immutable lineage
- Policy-gated promotion
- Verified artifact provenance
Deployment freedom
Build once. Govern centrally. Run anywhere.
Bring any framework, model, or provider. Apply one lifecycle and one lineage model across managed cloud, customer-controlled infrastructure, and the devices where intelligence actually runs.
Managed cloud
Operate globally with durable execution, canaries, scaling, and live quality signals.
Private infrastructure
Keep intelligence, evidence, and governance inside infrastructure you control.
Edge and device
Track every clone, package, local adaptation, and running device back to its source.
OpenTelemetryOpenInferenceMCPA2AAny modelAny framework
The next release starts here