TRAINING
Model Training Pipeline
Distributed training across GPU clusters with automatic checkpointing, mixed-precision training, and gradient accumulation for models up to 100B+ parameters.
Now in General Availability
AI That Works for You
Intelligence Made Simple
Deploy production-grade AI solutions with enterprise security, auto-scaling infrastructure, and cloud-native architecture. Built for teams that ship.
- No credit card required
- SOC 2 compliant
- 99.99% uptime SLA
stackai — bash — 80×24
Platform
The Gap Between AI Research and Production
Most AI projects never make it past the prototype stage. We built the bridge.
The Problem
- AI models remain stuck in notebooks.
- Infrastructure setup takes months.
- Unpredictable scaling costs damage margins.
- Security and compliance gaps delay enterprise deals.
StackAI Solution
- One-click deployment from notebook to production API.
- Pre-configured infrastructure with best-practice defaults.
- Auto-scaling that matches demand.
- Usage-based infrastructure designed to reduce waste.
- Security and compliance controls built into the platform.
How It Works
From Raw Data to Production Inference in Four Steps
- 01
Ingest & Prepare
Connect your data sources. Automatically clean, validate, and version datasets with lineage tracking.
- 02
Train & Optimize
Train across GPU clusters with automatic hyperparameter tuning, model selection, and experiment tracking.
- 03
Deploy & Scale
Deploy to auto-scaling inference endpoints with A/B testing, canary releases, and rollback support.
- 04
Monitor & Iterate
View real-time model performance dashboards, detect drift, and trigger automated retraining.
Infrastructure
Technical Architecture
Enterprise-grade infrastructure engineered for reliability, performance, and scale.
INFERENCE
Inference System
Low-latency inference with dynamic batching, model sharding, and intelligent routing. Support sub-50ms P99 latency at scale with automatic GPU and CPU optimization.
STORAGE
Data Storage Layer
Multi-tier storage with hot, warm, and cold data management. Use vector databases for embeddings, time-series stores for metrics, and object storage for artifacts.
SCHEDULING
GPU Orchestration
Smart GPU scheduling across NVIDIA A100 and H100 clusters with automatic spot-instance management, fault-tolerant training, and preemption handling.
SERVICES
Microservices Architecture
Event-driven microservices with service mesh, circuit breakers, and distributed tracing. Kubernetes-native with Helm charts for every component.
EDGE
Global Edge Network
Model inference at the edge with 200+ points of presence worldwide. Intelligent routing ensures requests reach the nearest GPU cluster.
Data Flow
Data
Training
Model Registry
Deployment
Inference
Monitoring
99.99%
Uptime
47ms
P99 Latency
200+
Edge PoPs
12k rps
Throughput
Cloud
Built on AWS
Leveraging the world's most comprehensive cloud platform for maximum reliability, security, and performance.
EC2
Compute
High-performance GPU instances for training and inference workloads.
S3
Storage
Durable object storage for datasets, model artifacts, and checkpoints.
RDS / DynamoDB
Database
Relational and NoSQL databases for metadata, configurations, and application state.
Lambda
Serverless
Event-driven functions for data preprocessing, webhooks, and asynchronous tasks.
SageMaker
ML Training
Managed machine-learning workflows with experiment tracking and model registry.
CloudFront
Delivery
Global CDN for low-latency API responses and static asset delivery.
Trust
Security & Compliance
Enterprise-grade security baked into every layer of the stack.
SOC 2 Type II
Annual audits covering security, availability, and confidentiality controls.
HIPAA Compliant
BAA support with encrypted PHI handling and strict access controls.
GDPR Ready
Data residency options, right-to-erasure support, and DPA agreements.
ISO 27001
Certified information security management system across operations.
256-bit
AES encryption at rest
TLS 1.3
Encryption in transit
Zero Trust
Network architecture
Pricing
Simple, Transparent Pricing
Start free, scale as you grow. No hidden fees.
Starter
For individuals and small teams getting started with AI.
$49/month
- Up to 3 model deployments
- 10,000 inference requests per month
- Community support
- Basic monitoring
- Shared GPU instances
Pro
For growing teams shipping AI products to production.
$299/month
- Unlimited deployments
- 500,000 inference requests per month
- Priority support with a 4-hour SLA
- Advanced monitoring and alerts
- Dedicated GPU instances
- A/B testing and canary deployments
- SSO and team management
Enterprise
For organizations with advanced security and scale needs.
Custom
- Everything in Pro
- Unlimited requests
- 24/7 support with a 1-hour SLA
- Custom SLA and BAA
- VPC peering and private endpoints
- On-premise deployment option
- Dedicated success manager
Roadmap
Product Roadmap
Where we've been and where we're headed.
- Q1 2026
Core Platform Launch
Shipped- · Model deployment pipeline
- · Auto-scaling inference
- · Monitoring dashboard
- Q2 2026
Enterprise Features
Shipped- · SSO and RBAC
- · VPC peering
- · SOC 2 certification
- Q3 2026
Advanced MLOps
Upcoming- · Automated retraining
- · Feature store
- · Model marketplace
- Q4 2026
Next-Generation Capabilities
Upcoming- · Multimodal support
- · Edge deployment
- · Federated learning
Team
Meet the Team
World-class engineers and researchers building the future of AI infrastructure.
AC
Alex Chen
CEO & Co-Founder
Visionary leader driving AI infrastructure strategy. Previously led ML platforms at major tech companies. Passionate about making AI accessible to every developer.
SM
Sarah Mitchell
CTO & Co-Founder
Expert in cloud-native ML systems and GPU orchestration. Built large-scale distributed systems for Fortune 500 companies. Focused on reliability and performance at scale.
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