Private AI Agents That Run Your Operations, Not Just Your Inbox
Custom agent harnesses, knowledge graphs and self-hosted inference, built around the workflow your team already uses.
The operation runs in the channel your team already uses
The Operations Organizer sits on approved WhatsApp channels and turns conversations into tasks, reminders and reports, without a new app to learn.
Six pieces, all production-grade
Custom Agent Harnesses
Agent runtimes built around your workflows: tool calling, memory architectures, retry semantics and approval gates.
Document Agents + Knowledge Graphs
RAG over your contracts, specs and SOPs with citations, backed by a property-graph layer so the agent reasons across relationships.
On-Premise AI Deployment
Run agents on your hardware: self-hosted inference, encrypted local storage, signed updates, role-based access and audit logs.
WhatsApp AI Operations Organizer
AI Message Understanding
Classifies conversations into tasks, issues, approvals, risks, customer requests, procurement needs, and scheduling updates, automatically.
Voice Note & Image Processing
Transcribes voice notes, extracts information from images and documents, and connects each item to the right project.
Task & Follow-Up Engine
Creates tasks, assigns owners, tracks due dates, reminds responsible people, and escalates ignored or overdue items.
Daily & Weekly Reports
Concise summaries for managers: completed work, open issues, delays, risks and unresolved customer requests.
Company Knowledge Memory
A searchable internal memory of past decisions, recurring problems, customer history and operational patterns.
Manager Dashboard
A control panel where leadership can see what is happening across teams without reading every message.
What we build, how it runs, and what you sign
Agents that read, decide within limits, and act on your systems
Agent runtimes built around your workflow, question-answering over your own contracts and procedures with citations, and CRM automation.
Your infrastructure, your data, your control
Camera streams stay local, documents are indexed in private stores, and answers carry citations.
The runtime, the stores, and the ability to change what runs it
Built on open interfaces and handed over, so your own engineers can run and extend it.
Targets set with you, measured on your workflow
How much routine the agent closes alone, how often an approval is overturned, and how many answers are marked wrong.
Agentic AI FAQ
What is an agentic AI system?
It is software where a model calls tools, reads data and carries out multi-step work toward a goal.
How is this different from a chatbot?
A chatbot answers questions; an agent acts. The harness adds tool calling, memory, approval workflows and integration with your real systems.
Can we run this on our own servers?
Yes. On-premise is a first-class option, not a fallback: self-hosted inference, encrypted local stores, signed updates, role-based access.
Start with one pain point
Share one workflow that hurts and we will build a small demo on your real data.
Book a discovery call