Iteration Core
Versioned training runs, diffable metrics, and rollback-safe promotion gates.
SGD 2,400 / month
- 50 experiment slots
- Git-native lineage
- Email support
Iterate. Evolve. Deploy smarter models.
ML iteration engineered as a helix
HelixAI unifies experiment tracking, deployment cycles, and continuous improvement so your team ships production-grade models faster.
240+
Models deployed
18ms
Avg inference latency
94%
Iteration success rate
SG
APAC hub & support
Ship smarter with modular ML stacks
Transparent SGD pricing for teams scaling from prototype to production.
Deploy Pipeline
Canary releases, shadow traffic, and automated health checks across regions.
SGD 3,800 / month
- Multi-cluster deploy
- SLA monitoring
- Priority support
Experiment Hub
Central dashboards for hyperparameter sweeps and collaborative notebooks.
SGD 1,900 / month
- Unlimited viewers
- Artifact storage 500 GB
- SSO ready
Enterprise Helix
Full-stack MLOps with dedicated architects and PDPA-aligned governance.
SGD 12,500 / month
- Custom HLX modules
- On-prem option
- 24/7 escalation
PyTorch
TensorFlow
Kubeflow
MLflow
Ray
Weights & Biases
Docker
Kubernetes
Built for teams that never stop iterating
Closed-loop feedback
Production signals flow back into training queues automatically, reducing drift response time.
APAC-first compliance
Data residency, PDPA controls, and audit trails designed for Singapore-regulated workloads.
GPU-aware scheduling
Intelligent cluster packing cuts training costs without sacrificing experiment parallelism.
Reproducible artifacts
Immutable model bundles with signed manifests for regulated deployment environments.
Human-in-the-loop
Review gates and annotation bridges connect data science with domain experts seamlessly.
Open integrations
REST and webhook APIs connect to your existing CI/CD, ticketing, and observability stack.
Turn notebooks into production assets
HelixAI bridges exploratory analysis and governed deployment so insights survive the handoff to engineering.
See HLX-NOTEExpert guidance across the ML lifecycle
MLOps Engineering
Design and implement CI/CD for models, feature stores, and observability from day one.
Learn moreCustom Model Training
Fine-tune foundation models on your domain data with reproducible experiment baselines.
Learn moreTeam Enablement
Workshops and playbooks that upskill engineers on iteration workflows and governance.
Learn moreTrusted by innovation teams
“HelixAI cut our model promotion cycle from weeks to days. The iteration dashboard is now our single source of truth.”
Dr. Mei Lin — Head of AI, Finova Labs
“Deployment canaries and automatic rollbacks gave us confidence to ship NLP models to customer-facing apps.”
Rajesh Nair — VP Engineering, DataStream SG
“PDPA-ready logging and consent-aware pipelines made compliance reviews straightforward for our healthcare client.”
Sarah Koh — CTO, MedBridge Analytics
Start your iteration
Book a discovery call and map your first helix cycle with our Singapore team.
Contact HelixAI