Models in Production. Not Just Notebooks.
Deploy, version, monitor, and scale models. Detect drift before users notice. Rollback in seconds. MLOps built for Day Two, not Day One demos.
The Work That Pays
Traditional ML Is Not Dead. It Runs Your P&L.
Fraud scoring. Demand forecasting. Churn prediction. Pricing optimization. These run on structured data and gradient-boosted trees, not LLMs. They hit the bottom line directly and they have for years.
The real unlock is running both in one platform. A single workflow calls an XGBoost model and an LLM in the same pipeline. Same governance. Same observability. Same deployment path. No stitching together separate MLOps and AI stacks.
Demand Forecasting
Structured data. Time series. Runs on XGBoost, not GPT.
Fraud Detection
Millisecond inference. Tabular features. Production since 2015.
Churn Prediction
Retain revenue before it walks. Classification, not generation.
Pricing Optimization
Regression models on real transaction data. Direct margin impact.
The Full Model Lifecycle. Automated.
Training to production to monitoring to retraining. One platform handles it all.
Model Deployment
Single-click deploy. Automatic containerization, scaling, load balancing. REST APIs, batch inference, real-time endpoints. Pick your pattern.
Performance Monitoring
Accuracy, latency, throughput, resource usage - all tracked in real-time. Alerts fire on degradation before users file tickets.
A/B Testing & Canary Deploys
Split traffic across model variants with weighted random, feature-based routing, or multi-armed bandits. Canary deployments auto-progress from 1% to 100% with health-check-driven rollback. Built-in statistical analysis with sequential testing so you can monitor results without inflating false positives.
Auto-Scaling
Scale inference capacity on demand. Handle spikes without manual intervention. Scale down when idle. Pay for what you use.
Drift Detection
Detect data drift and model decay automatically. Get alerts when distributions shift. Retraining recommendations included. Models rot in production - we catch it.
CI/CD Pipelines
Automated testing, validation, and deployment. Quality gates before production. Integrates with your existing DevOps tools. No rip-and-replace.
Models That Stay Healthy in Production
Deployment is the starting line. The real work is keeping models running.
Weeks to Hours
Automated pipelines eliminate manual deployment steps. Standardized operations across teams. Ship models in hours, not sprint cycles.
99.9% Uptime
Automated health checks, failover, rollback. Your models work when you need them. Including at 2am on a Tuesday.
No Black Boxes
Full observability into behavior, performance, and costs. When something changes, you see it. Comprehensive logging and metrics.
Features: Built Once. Used Everywhere.
Every team rebuilds the same features, and the numbers never quite match. The Feature Store ends that - one definition, shared across every model, in training and in production.
One Definition, Every Model
Define a feature once and every team and model reuses it. No more five versions of "customer lifetime value" that all disagree.
What You Train Is What You Serve
The exact same features power training and live predictions. No more models that ace the lab and stumble in production because the numbers drifted apart.
Fresh Features, Instantly
Serve up-to-the-second features to real-time models in milliseconds. Streaming or batch - the model just asks, and gets the latest.
Training Data You Can Trust
Point-in-time correct by default - your models never peek into the future by accident, so the results you see in the lab actually hold up once they go live.
Never Silently Stale
Freshness and quality are tracked for every feature. When a pipeline stalls, you find out - before your model starts making decisions on yesterday's data.
Versioned and Governed
Every feature is versioned, owned, and shareable across your teams - with the same access controls as the rest of the platform. Nothing goes rogue.
Production Models. Day Two Operations.
Our engineers deploy with your team. We fix what breaks. Built to keep running.