See a real-time agent at work
1. the problem
A pricing error just went live. Deal sites will find it before your team does.
2. live context
- orders_per_min_sku 380
- normal_for_this_hour 6
- margin_per_order -$41
- traffic_from_deal_sites 72%
3. The agent
Pulls the price, holds unshipped orders for review and alerts merchandising.
4. The result
The error costs minutes of orders, not a weekend of losses.
We made it simple
Let's build production-ready autonomous real-time agents. You bring a problem where stale data costs money, and we build your first one with you, end to end. Then your team builds every agent after it on the same platform.
Bring the problem
One conversation. No RFP.
We build it
Data, live context, the agent and its guardrails, end to end.
It goes live
In production, in your cloud, once it proves its value.
You build the next
Same platform, same playbook, your team.
One platform for every real-time agent after
Access over MCP
Agents see only the context they're allowed to.
Live context
Always-current context from your streaming data.
Triggers
Agents wake the moment a threshold is crossed.
Runs where your data is
Your own cloud, Snowflake or Databricks.
What goes wrong
when
your data is late?
Every business has decisions that go wrong when data arrives late. Tell us the one that costs you most. If a real-time agent can fix it, we’ll build it with you, end to end.