Zero-trust · On-premises AI
Autonomous agents for quantitative finance, healthcare operations, and robotics — engineered so sensitive data stays under your control, not in the public cloud.
Hub-and-spoke agents
PII/PHI redaction · audit-ready
Regulated industries need advanced automation and reasoning, but exposing data to public APIs is often a non-starter. Ascend builds localized, multimodal inference that runs entirely on your infrastructure.
Same capabilities enterprises expect from cloud AI — orchestration, retrieval, vision-language workflows — with execution that stays on-premises and inside your security perimeter.
Design aligned with strict data residency and access policies.
Text, documents, and visual pipelines where VLMs add value.
Built for teams that cannot ship PHI or proprietary models to third-party clouds.
Specialized agentic systems for mission-critical sectors.
Quantitative finance & robotics
High-frequency market context, proprietary document parsing, and orchestration for facility and data-center workflows — tuned for low-latency, high-precision local inference.
Healthcare operations
Administrative automation with visual parsing and local LLMs — scheduling intelligence, routing, and facility workflows designed around compliance-minded deployment.
V1 pilot infrastructure combines proven orchestration, standardized retrieval, and NVIDIA-optimized inference.
| Layer | Technologies |
|---|---|
| Orchestration | UiPath Maestro, n8n, LangGraph |
| Context & RAG | Claude MCP, local vector databases |
| Inference | NVIDIA NIM, NeMo Retriever, TensorRT-LLM |
| Security | Zero-trust posture, local-only execution, PII/PHI redaction |
From application and documentation to localized hardware integration.
NVIDIA Inception alignment and technical documentation.
V1 pilot deployment with on-site hardware integration.
Broader pilot launch — Q3 2026.
Questions about ATLAS, CareFlow, or on-premises agent architecture? Reach the team directly.
Brooklyn, New York