Make Agentic AI Your Game-Changer
Maximize the return on your AI/ML investments with the only real-time data platform designed for adaptive intelligence at scale.
Ingest and process sensor data at scale and in real time
Make high-stakes decisions with context
Trigger actions automatically
Improve continuously
Why Agentic AI Needs Real-Time Decisioning
Agentic AI is often described as autonomous — able to decompose goals, choose strategies, interact with tools, and adapt to feedback. But autonomy without real-time grounding is just simulation.
Volt provides the real-world nervous system for Agentic AI, bringing real-time intelligence to the systems people and machines interact with every day — enabling what we call adaptive intelligence:
- Live data streaming
- Stateful memory and context
- In-stream ML inference
- High-integrity, transactional decisions
- Instant action
It’s not just fast data — it’s fast and intelligent and executable. In milliseconds.
How Volt Powers Agentic AI
Volt unifies real-time data ingestion, contextual memory, machine learning inference, and execution into a single, low-latency platform.
- Real-Time Streaming Ingestion
Ingest millions of events per second via Kafka, MQTT, REST, or proprietary protocols with millisecond processing times.
- Stateful, In-Memory Context
Track the real-time state of users, sessions, machines, and events — and use that memory in every decision.
- In-Stream ML Model Execution
Run ONNX models directly inside Volt for sub-10ms inference — no round-tripping to external ML services.
- Built-In Transactional Integrity
ACID-compliant transactions ensure every decision is consistent, auditable, and correct — even at massive scale.
- Built-In Execution
Volt not only decides what should happen — it makes it happen. Actions, alerts, downstream API calls — all triggered from the decision point.
ADAPTIVE INTELLIGENCE IN ACTION
Industrial IoT
- Continuously processes sensor data from machines (vibration, temperature, load)
Maintain operational state (usage, history, maintenance logs) - Execute ONNX-based failure predictions in-line
- Apply logic: “Is the machine critical? Is it running? Can we safely shut it down?”
Milliseconds from signal to action. Not just prediction — prevention.
Crypto/Web3
- Continuously processes sensor data from machines (vibration, temperature, load)
Maintain operational state (usage, history, maintenance logs) - Execute ONNX-based failure predictions in-line
- Apply logic: “Is the machine critical? Is it running? Can we safely shut it down?”
Milliseconds from signal to action. Not just prediction — prevention.
Telco/NaaS
- Ingest real-time telemetry from 5G nodes and networks
- Track slice/QoS/customer SLA commitments in memory Evaluate ML predictions on likely SLA breaches
- Execute orchestration logic: reroute, throttle, prioritize
No more “monitoring” — this is real-time enforcement.