ControlStackAI Book a consult
Abstract network of orchestrated AI agents

ControlStackAI

Agentic AI orchestration backed by production Machine Learning platforms and bespoke Deep Learning innovation for teams that ship mission-critical systems.

Autonomous developer & ops agents
Model lifecycle governance & MLOps
Multimodal deep architectures

Agentic AI Systems

Tool-chaining AI that breaks goals into steps, calls APIs, checks results, and improves with feedback.

  • Multi-step planning & tool use
  • Automation over API workflows
  • Human-in-the-loop controls
Learn more →

Machine Learning Platforms

From classic models to time-series forecasting and anomaly detection tailored to your data.

  • Feature engineering
  • Evaluation & validation
  • Productionization
Learn more →

Deep Learning Innovation

Vision, sequence models, and embeddings for resilient autonomy and perception pipelines.

  • RAG & vector search
  • Vision & multimodal
  • Fine-tuning & adapters
Learn more →

Signature engagements

A glimpse into the Agentic AI, Machine Learning, and Deep Learning outcomes we deliver.

Dashboard showing autonomous SRE agent collaboration
Agentic AI

Autonomous release copilots for embedded controls

Multi-agent workflow that triages firmware pull requests, generates tests, and routes findings to human reviewers with full auditability.

Outcome
45% faster release reviews
Stack
LangGraph, Flyte, GitLab
Illustration of machine learning operations dashboard
Machine Learning

Unified feature store and MLOps fabric

Delivered data contracts, real-time feature pipelines, and continuous evaluation that keep predictive maintenance models deployable.

Outcome
99.8% API uptime
Stack
dbt, Feast, MLflow
Visualization of deep learning perception model
Deep Learning

Multimodal situational awareness for robotics

Developed compact vision-language models that fuse telemetry, video, and maintenance logs to predict anomalies before they escalate.

Outcome
3× faster anomaly detection
Stack
ONNX Runtime, Triton, PyTorch

Trusted by engineering leaders

From aerospace to autonomy, teams rely on ControlStackAI to operationalize intelligent systems with confidence.

Aerospace systems Autonomous robotics Industrial IoT Smart infrastructure
Book a consult