AI that stays inside your walls
We build agentic AI, multimodal pipelines, and in-house LLM infrastructure that runs on your hardware — giving you full control over your data, your costs, and your models.
Specialized agents that collaborate to get complex work done
We design multi-agent systems where every agent has a precise role: analytical agents extract patterns, audit agents log every decision with provenance, vision agents process images and documents, and traceability agents maintain an unbroken chain of custody across the entire workflow.
A central orchestrator delegates, monitors, and resolves conflicts. Agents self-correct, run in parallel, and converge on verified results — all on your infrastructure, with every decision auditable. Built for pharma, finance, government, and any environment where "trust but verify" isn't enough.
Live agent orchestration — hover over agents
Live pipeline simulation
Live data flow simulation
Multimodal pipelines that fuse vision, text, and structured data
Our pipelines process images, documents, and structured data in parallel — passing each through specialized models, then merging outputs into a unified intelligence stream. Vision models extract features from scans and diagrams; language models parse reports and logs; graph databases connect it all into a queryable knowledge graph.
Built on Apache Kafka, Spark, and Neo4j — with fine-tuned LLMs at the core — our pipelines handle schema evolution, backpressure, and fault tolerance automatically, at petabyte scale, entirely on your infrastructure.
Your models. Your servers. Your data.
We don't just advise — we build and deploy. We migrate your AI stack from SaaS APIs to on-premise infrastructure, fine-tune models on your domain data, and ensure every component meets the compliance requirements of your industry. You get lower costs, zero vendor lock-in, and AI that never calls home.
On-Prem LLM Hosting
Deploy and serve fine-tuned large language models entirely within your network using vLLM, Ollama, or custom inference servers. No API calls leaving your perimeter.
Model Fine-Tuning for Your Domain
We fine-tune foundation models on your proprietary data — scientific literature, legal documents, operational logs — producing models that outperform generic APIs at a fraction of the cost.
Cost Optimization Audit
We analyze your current AI spend across SaaS APIs, cloud infrastructure, and data services, then design a migration path to on-prem that typically reduces costs by 40–60%.
Regulatory Compliance Architecture
Design AI systems that meet GxP, SOC 2, HIPAA, FedRAMP, and ISO 27001 requirements from the ground up — with documented data flows, access controls, and audit trails.
Data Sovereignty Design
Architect systems where data never crosses jurisdictional or organizational boundaries. Air-gapped deployments available for classified or sensitive environments.
Team Enablement
We upskill your engineering and data science teams through hands-on training, architecture reviews, and long-term pairing — so you own and operate the system independently.