Explore the engineering blocks behind Tomris Cloud. From sandboxed compute runtimes to vector pipeline engines, we provide infrastructure built for secure AI workflows.
Run your execution swarms in isolated, micro-VM runtimes. Booting in under 50ms, our runtimes automatically allocate CPU and GPU nodes dynamically on-demand, freeing you from VM administration.
Tomris Cloud runs agent execution via stateful workflows. By tracking state frames, workflows automatically retry on API timeouts, survive network drops, and recover execution seamlessly.
Design complex agent swarms with our low-code visual editor. Map connections between triggers, prompt templates, language models, tools, and databases. Edit and debug runs in real-time.
Ingest unstructured PDF, CSV, and DOCX catalogs into high-performance vector embedding databases with InData. Convert legacy datasets into searchable knowledge indexes instantly.
Query legacy databases using standard natural language. InData maps relational schemas dynamically, enabling secure and audited read/write commands safely.
Prevent unauthorized actions. Set safety boundaries that pause agent execution before high-risk tasks (like writes to production or payment gateway API calls). Resume once reviewed and approved.
Autonomous agents shouldn't act unchecked. Tomris Cloud enables you to configure Safety Gates on any execution pipeline. If an agent attempts to execute an action marked as high-risk, the run pauses immediately.
The swarm alerts chosen workspace reviewers via interactive Slack message links.
Inspect state variables, token trace logs, and generated payload before giving the green light.
Once approved, a token is issued to resume container execution safely.
PROPOSED ACTION
Write DB Update Query
UPDATE leads SET status = 'qualified' WHERE val > 50000
SWARM SENDER
Lead Analyst Swarm (micro-vm_928c)