Agents that do the real work
Not a chatbot. These are advanced agents that plan, use real tools, work proactively, and hand off to one another, with you in control.
Its hand never touches the database
An agent has no raw access to your data. It can only call the deterministic flows defined for it, which give the same answer to the same input. The model is left with translating and summarising, the work it is actually good at.
Proactive, not just reactive
Agents can schedule themselves and watch for events with 11 kinds of triggers. Not just the clock: they wake when data changes, when a model drifts, or when an event arrives.
Multi-agent hand-off
Agents pass tasks to specialist agents and coordinate, the way a capable team would.
Every agent is an MCP tool
Each agent is automatically exposed as an API and an MCP tool, so other apps and assistants can use it right away.
Searches the web
Agents pull live information from across the web and turn any link into clean, usable content.
Human in the loop
Pause any workflow for approval on sensitive actions, then resume exactly where it left off.
Bring your own Python
Need something custom? Write your own Python and run it safely in isolation, then use it right inside your data flows and agents.
import pandas as pd
def transform(df):
df = df.drop_duplicates()
df["clean"] = df["amount"] > 0
return df.dropna()
# runs in an isolated sandboxWant to set it up? Come build with us.
We deploy DEHA Lab locally for you and walk you through the whole platform, end to end. Pick a time that works and we'll meet on Google Meet.