Platform v2.4 · Seattle, WA

AI pipelines that survive production scrutiny

Quorumstack orchestrates training, batch inference, and feature delivery across your data warehouse and model registry — with lineage, rollback, and cost controls built in from day one.

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4.2k+Pipelines under management
99.95%Control-plane uptime
6US & EU regions
quorumstack / prod / nightly-retrain
snowflake.raw → features.v2 → train.job
model.registry → canary.5% → inference.edge
drift.monitor → pagerduty.ops
Last run
OK · 4m 12s
Features
847 cols
Cost
-$18% WoW

Deployed by data platform teams at

Helix Commerce Northline Data Pacific Ledger Stratus Health Vector Rail

Quorumstack Platform

Infrastructure primitives for modern ML ops

Not another notebook scheduler. Quorumstack is the control plane between your data warehouse, feature store, and model endpoints — designed for platform engineers who own reliability.

DAG orchestration

Declarative pipelines with dependency graphs, backfills, and partitioned runs across Spark, Ray, and containerized jobs.

Feature store sync

Online/offline feature consistency with point-in-time joins, TTL policies, and schema evolution without breaking training sets.

Model registry

Versioned artifacts, promotion workflows, and automated canary deploys to Kubernetes, SageMaker, or custom inference clusters.

Lineage & audit

End-to-end traceability from raw tables to production predictions — exportable for compliance reviews and incident postmortems.

Drift & quality gates

Statistical monitors block bad deploys before they reach customers. Integrates with Evidently, WhyLabs, and custom validators.

Cost governance

Per-team budgets, GPU scheduling policies, and spot-instance orchestration to keep training spend predictable at scale.

Architecture

Fits your stack, not the other way around

Quorumstack deploys into your VPC. We integrate with the tools your team already standardized on — no rip-and-replace mandate.

  • Data sources Snowflake, BigQuery, Databricks, S3, Kafka
  • Compute Kubernetes, ECS, Ray, Spark on EMR
  • Models PyTorch, TensorFlow, ONNX, Hugging Face exports
  • Observability Datadog, Grafana, OpenTelemetry, PagerDuty
# quorumstack.yaml
pipeline: fraud-scoring-nightly
schedule: "0 2 * * *"
steps:
  - extract:
      from: snowflake.transactions
  - features:
      store: quorumstack/fs-prod
  - train:
      image: ml/train:v3.2
      gpu: a10g x 2
  - deploy:
      canary: "5%"
      rollback_on: drift.p95 > 0.12

Use cases

Where teams deploy Quorumstack first

Real-time fraud & risk

Sub-100ms feature serving with batch retraining loops and regulator-friendly audit exports.

Recommendation systems

Embeddings pipelines, A/B model routing, and freshness SLAs for catalog and content teams.

Forecasting & planning

Time-series feature engineering with holiday calendars, hierarchical reconciliation, and backtest harnesses.

LLM fine-tuning ops

Dataset curation, evaluation suites, and gated promotion for domain-specific language models.

Security & compliance

Built for enterprise procurement

Your security team gets answers before the pilot ends — not after.

SOC 2 Type IIIn progress · Q4 2026
SSO / SCIMOkta, Azure AD
VPC deployAWS, GCP, Azure
EncryptionAt rest & in transit

Pricing

Transparent tiers for platform teams

Growth

$2,800/mo

Up to 50 pipelines · 3 environments

  • Core orchestration + feature sync
  • Standard integrations
  • Business-hours support
  • 99.9% SLA
Talk to sales

Enterprise

Custom

Unlimited pipelines · dedicated CSM

  • VPC / single-tenant options
  • Custom validators & RBAC
  • 24/7 support + TAM
  • 99.95% SLA · 45-day pilot
Request proposal

FAQ

Technical questions

We sit above generic orchestrators with ML-native primitives: feature store sync, model registry promotion, drift gates, and GPU cost policies. Many teams keep Airflow for ETL and use Quorumstack for the ML layer.

No. Quorumstack's control plane coordinates jobs in your cloud accounts. Training data and model weights stay in your VPC.

A typical enterprise pilot migrates one production pipeline in 3–4 weeks with a forward-deployed engineer. Growth tier customers get guided setup documentation and office hours.

1201 3rd Ave, Suite 2200, Seattle, WA 98101. [email protected]

See Quorumstack on your architecture diagram

45-minute technical session with a solutions engineer. Bring your stack diagram — we'll map integration points live.

[email protected]