Stay in control of your agent infrastructure with NVIDIA OpenShell.
Deploy an open-source agent stack your team can inspect, extend, and own. We teach it your company's context, while you keep the code, workflows, and knowledge layer.
We deploy an open-source agent like Hermes or OpenClaw in your infrastructure, secured by OpenShell and governed by your policies.
We connect Slack and your internal business systems. Employees use the agent where they already work, with access to useful context.
We work alongside your team to solve real problems and turn them into reusable agent skills you keep.
We handle monitoring, updates, security, and reliability. Keep us running it, or take over the open-source agent stack when ready.
Companies running open source agents, secured by OpenShell
Concept
Do not trap your company context inside a closed AI platform.
The risk is not vendor lock-in. It is context lock-in.
Closed AI platforms are easy to start with and hard to leave. Not because the model is impossible to replace, but because the useful context gets trapped: what tools the agent can use, what workflows it knows, what corrections your team made, and what logic was encoded over time.
Apelogic builds a portable context layer around open components, so your agent stack can evolve without starting over.
Vertically integrated agents
- Model controlled by vendor
- Context lives in vendor product
- Skills locked to platform
- Infrastructure is vendor cloud
- Switching means starting over
Open Agent Stack
- Model-agnostic orchestration through Hermes
- Context layer is yours
- Skills live as portable code
- Runs in your environment
- Take context, skills, and code with you
Your team defines the problem. Our team encodes the solution. Your company keeps the result.
We work directly with your employees, not through passive prompt mining or background surveillance. Together we turn real workflows into reusable agent skills, with the context, logic, and code staying in your stack.
Step 01
Employee
Brings real work, repeated tasks, friction, and judgment.
Step 02
Our team
Works directly with the employee to understand where the agent can help and how the workflow should behave.
Step 03
Your open agent
The workflow becomes reusable skills, context, evals, tool logic, and code in the customer's stack.
Connecting Claude to a data warehouse at Helium Mobile
A production connector that turned dashboard-ticket backlog into governed, natural-language analytics self-service.
Helium Mobile's lean data team was a bottleneck — every business question turned into a dashboard ticket. Apelogic connected Claude directly to their Trino data warehouse and built a semantic context layer, so employees get answers in plain English while the data team stays in control of business definitions.
"Apelogic gave our agents safe, governed access to the data warehouse. Employees stopped waiting days for answers."
drop in dashboard data-ops workload
from kickoff to handoff to the Helium Mobile team
semantic context layer, governed by the data team
Dashboard-request bottleneck
- Days-long backlog of dashboard requests
- Data ops translates every business question into SQL
- Superset charts built one ticket at a time
AI-powered data self-service
- Employees ask Claude questions in plain English
- Claude generates SQL on Trino with approved business context
- Useful queries become repeatable Superset charts
- Data team owns the semantic context layer
Team
A small team of builders who’ve started technology companies and operated inside large enterprises — fluent in both startup speed and enterprise complexity.
CEO
CTO
AI Solutions Lead