AI agents for your software delivery stack. Built on OpenShell.
Build QA and maintenance agents—or modernize existing agents—on NVIDIA’s open source OpenShell runtime. HyperShell provides the supported platform, implementation, and ongoing support. Your team owns the agents and can build and extend them independently.
The platform
See how teams build and govern agents.
Explore how engineers request access and inspect runs, and how administrators define Agent Envelopes and review exceptions.
Product screen. Swipe sideways to see the full inbox.
See the platform walkthroughSolutions
QA & Release Quality
Validate releases faster with the QA team you have.
For teams constrained by release validation
Build workflows that select and run relevant tests, investigate failures, and maintain regression suites across complex dependencies and integrations.
Explore QA workflowsSoftware Maintenance
Keep maintenance from slowing your roadmap.
For teams supporting multiple product versions
Build workflows for backports, dependency upgrades, security patches, and bug fixes across the product versions your customers rely on.
Explore maintenance workflowsAgent Platform Modernization
Keep your agents. Put a supported platform around them.
For teams running agents on homegrown infrastructure
Make it easier to add agents safely with reusable security envelopes, while reducing the work of maintaining homegrown infrastructure.
Explore platform modernizationAccelerating data access and dashboard development at Helium Mobile
An agent built on their existing Trino warehouse that turned a days-long dashboard-ticket backlog into governed, natural-language analytics self-service.
Helium Mobile had a lean data team and a queue in front of it: every business question became a dashboard ticket, and delivery waited on people rather than on code. HyperShell deployed agents into their own environment, connected directly to their Trino data warehouse, and encoded the business definitions as a semantic context layer the data team owns. The first phase shipped in under two months, with no change of platform.
"HyperShell gave our agents safe, governed access to the data warehouse. Employees stopped waiting days for answers."
- ~60%
- drop in dashboard data-ops workload
- < 2 months
- from kickoff to handoff to the Helium Mobile team
- Team-owned context
- semantic context layer, governed by the data team
Results from a data access and analytics engagement at Helium Mobile. They are not QA, maintenance, or migration results.
Before
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
After
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
How an engagement works
One offering: platform, implementation, and ongoing support.
Platform
Build and expand agents within approved Agent Envelopes on the HyperShell platform, built on OpenShell.
Implementation
Work with our forward-deployed engineers to build the first workflows in your environment, then modify agents and create new ones independently.
Support
Get ongoing support for the underlying platform, including updates and bug fixes.
Four steps from first workflow to measured result
- 1
Scope
Choose a repeatable workflow, the systems it touches, and the measure you will use to judge it.
- 2
Deploy platform
Deploy the HyperShell platform in your environment and define the Agent Envelopes the workflow needs.
- 3
Build workflows
Our forward-deployed engineers build the first agents with your team, in the tools you already use.
- 4
Measure
Measure the result against the baseline and success measure agreed at the start.
Implementation briefs
Accelerator
Extend your existing tools and pipelines with selected agent workflows.
Foundation
Establish the platform, connect your tools, and launch your first governed workflows.
Deployment, ownership, and controls
Your teams define the controls. Agents work within them.
HyperShell Agent Envelopes define approved access to models and tools, along with spend and lifetime limits. They build on OpenShell’s sandboxed runtime and access policies.
- Define
IT and Security
Define the operational envelope of every agent in the SDLC: the tools it may access, LLM routing policy, budgets, and credential management.
- Build
Platform teams
Use the specified envelopes to build and insert agents into the SDLC quickly, without renegotiating access per project.
- Ship
Engineers and PMs
Interact with the agents to write, test, and deploy code — moving work through the lifecycle without coordination overhead.
You own the agents and the context around them.
How HyperShell is deployed, and what stays with you.
- Deployment
- The platform runs in your environment and connects to the repositories, pipelines, and test runners you already use.
- Models
- Agent Envelopes set which models an agent may use, including a model deployed in your own environment.
- Context
- Policies, integrations, and review corrections stay in your environment, not in a vendor product.
- Agents
- Agents and their skills live as code you own and can modify.
- Runtime
- Built on NVIDIA OpenShell, an open-source runtime for sandboxed agents and enforceable access policies.
- Self service
- After the first workflows, your team modifies agents and creates new ones without us.
COMPANIES BUILDING ON OPENSHELL
Concept
Team
A small team of builders who’ve started technology companies and operated inside large enterprises — fluent in both startup speed and enterprise complexity.
Boris Renski
CEO
Serial open-source infrastructure founder — co-founded Mirantis ($150M+ raised, OpenStack leader) and FreedomFi (private 5G, acquired by Helium Mobile). Now bringing enterprise discipline to the agent layer in your existing software delivery stack.
Leo Beliaev
CTO
Engineering leader with senior roles at Cisco and Dell, and former CEO of Okko, a leading European premium video streaming platform. Leads HyperShell's technical work on the governed agent layer that runs inside your existing development stack.
Chris Clason
CRO
AI and infrastructure executive with 22+ years across startups and hyperscale technology companies, including leadership roles at Mirantis, Digital Asset, and AMD. Leads HyperShell’s go-to-market strategy, strategic partnerships, and enterprise adoption.
Alex Gelf
VP, Customer Engineering
Hands-on technology delivery leader with experience across Silicon Valley and Europe. Most recently General Manager at Inventra, a European HR-tech company. Leads practical AI solution delivery at HyperShell.
Discuss your first workflow.
Tell us what you want to improve and which systems are involved. We’ll discuss fit and the next step.
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