Aible Launches SafeClaw Long-Running Agents and Presents at Eight Partner Booths and Sessions at NVIDIA GTC 2026
View original at finance.yahoo.comAible Launches SafeClaw Long-Running Agents and Presents at Eight Partner Booths and Sessions at NVIDIA GTC 2026 Aible launches SafeClaw that enables long-running agents with built-in enterprise AI governance and guardrails…
What we drew from this source
The claims Via News extracted from this document. We point to the source; we don't replace it.
We built our first Aible AI agent running on NVIDIA DGX Spark in 5 minutes. The ROI on Aible agents will be immediate. By reducing attorney response time on research questions we save a few hundred dollars per hour per attorney, the AI agent pays for itself within days
60% confidenceRunning on our NVIDIA DGX Spark in a secure air-gapped environment allows me to prototype confidently, eliminate surprise spending, and scale as we prove the ROI from each use case
60% confidenceThe end-to-end serverless AI platform is up to 200X more cost efficient
60% confidenceWhat stood out was the model accuracy, because Aible eliminated hallucinations compared to other AI platforms we evaluated
60% confidenceWe have extensive experience running Aible agents in production and have seen firsthand how they can safely drive measurable operational impact at scale. Our proactive patient rescheduling agent has expanded from a single department to seven clinical service lines in just over a year, meaningfully improving patient access to timely care
60% confidenceEnterprise long-running agents can unlock significant value - particularly across silo'd core systems - but require the kind of IT governance and model monitoring enabled by Aible SafeClaw and NVIDIA NeMo Guardrails
60% confidenceAible SafeClaw takes a different approach where users can test the plan generated by the long-running agent at setup time, approve which tools and models it can use and when, approve exactly which data sources it can access and how, and then approve that plan for ongoing operations
60% confidenceEach tool that Aible SafeClaw leverages is completely deterministic and logged in the customer environment as Python code
60% confidenceThis project used the Aible software environment together with an NVIDIA DGX Spark / Dell Pro Max GB10 system to conduct exploratory analyses on locally stored health‑related data. We ran all model components on the standalone device so that data remained within institutional control. After internal validation, the analytical agent created on the local system was automatically transferred to the Nebius cloud environment without transferring underlying research data
60% confidence
Cited in these Via News reports
- NVIDIA Agent Platforms Secure Enterprise Adoption From Adobe, Salesforce, Siemens as Infrastructure Race Intensifies →
- NVIDIA Announces 80+ Partnerships at GTC 2026, Positioning for Global AI Infrastructure Control →
- NVIDIA Signs Six Enterprise Partners for AI Agent Platform, Challenging Microsoft and Google Ecosystems →
- NVIDIA Unifies Language Models, Robotics Tools, and World Foundation Models in Single Enterprise Platform →
- Nvidia projects $1 trillion chip sales through 2027 as global AI infrastructure race intensifies →