About StackHeal
Infrastructure Operations Should Not Depend on Who Is on Shift.
StackHeal exists because the work between a request arriving and a result being delivered is still mostly done by people moving between consoles — and because that work is both the most repetitive part of infrastructure operations and the most expensive to scale.
Mission
Make infrastructure operations simpler, smarter, and easier to scale.
Every provider we talk to has the same shape of problem. The infrastructure itself is largely automated — machines are built from templates, configuration is managed, monitoring is in place. What is not automated is the operations: reading a request, working out which system it concerns, gathering context, performing a known fix, checking it worked, and writing it all down.
That work scales linearly with customers, and it is handled by the most expensive people in the building. It is also where inconsistency enters, because the procedure lives partly in documentation and partly in whoever picked up the ticket.
We think the answer is not a smarter console. It is a governed path from a request to a verified outcome — one that encodes what your team already knows, enforces the limits you already believe in, and records what happened in a form you can hand to anyone who asks.
The brand promise
Make infrastructure operations simpler, smarter, and easier to scale.
- Simpler — one governed path instead of four consoles and a relay of people.
- Smarter — AI where interpretation helps, deterministic policy where authority belongs.
- Easier to scale — new customers and sites mean new policy, not new procedures.
Product philosophy
Six positions we hold, including the inconvenient ones.
These are the decisions that shape the product, written plainly enough that you can disagree with them.
Interpretation proposes. Policy permits.
AI is genuinely good at reading an unstructured request and recognising a pattern. It is the wrong place to decide what may happen to a production system. We keep those two roles architecturally separate, and we will not blur them for a better demo.
A successful command is not a verified outcome
Most automation reports success when a command exits zero. We treat verification as a separate assertion against measured state, and we made “unverified” a first-class result rather than rounding it up to “done”.
Narrow beats capable
There is no general-purpose shell action, because a workflow with one has a blast radius equal to its credentials. Everything a workflow can do is registered, typed and reviewable. That is a deliberate constraint, not a missing feature.
Build for the audit, not just the happy path
Every run records its inputs, decisions, approvals and outcome. Not because compliance asked, but because automation you cannot explain is automation nobody will let you widen.
Orchestrate, do not replace
Your monitoring works. Your service desk works. Your playbooks work. The gap is the governed path between them, and that is the part we build.
Say what is not finished
Connector statuses are labelled honestly, documentation marks pages that are still being written, and we do not publish prices we have not agreed. It costs us a slightly less impressive website and saves everyone a wasted evaluation.
What we build
- A workflow engine that understands assets, tenants, environments and maintenance windows
- An interpretation layer for unstructured operational requests and alert noise
- A registered action catalogue with typed inputs and declared blast radius
- Policy, approvals and verification as first-class workflow concepts
- Connectors for ticketing, virtualization, monitoring and backup systems
- An immutable run history that answers what happened and who authorised it
What we deliberately do not build
- An autonomous agent with unrestricted access to production systems
- A replacement for your monitoring, service desk or configuration management
- A general-purpose shell action that would make workflows unreviewable
- Backup storage — we coordinate the systems that already hold your data
- Claimed savings percentages or uptime figures we have not measured
Who we build for
The teams that keep the digital world running.
Our customers operate the infrastructure other businesses depend on. That changes what matters: tenancy, approvals, auditability and the ability to explain any automated action after the fact.
- Data Centers
- Cloud and GPU Cloud Providers
- Hosting Providers
- Managed Service Providers
- Enterprise IT Teams
StackHeal
Connects every system below
- Customer supportTickets and requests
- Infrastructure resourcesHypervisors, clouds, servers
- Monitoring and alertsMetrics, alerts, incidents
- Automation workflowsPlaybooks and approvals
- Verification and visibilityOutcome checks and audit trail
Straight answers
A few things people ask that most About pages avoid.
- How mature is the product?
- Parts of the platform are further along than others, and the connector directory labels each system accordingly — native, beta, API-based or planned. If a specific connector matters to your plan, ask us and we will tell you exactly where it stands rather than pointing at a logo wall.
- Why are there no customer logos or case studies here?
- Because we are not going to publish ones we have not earned the right to publish. When customers agree to be named and we can report real figures, they will appear — with their numbers, not ours.
- Is our data used to train models?
- No. Customer data is not used to train models shared across StackHeal customers. Model hosting and residency options are available on enterprise deployments.
- What happens to our workflows if we leave?
- Workflow definitions and run history are exportable. Your playbooks and platform credentials were always yours — StackHeal calls them, it does not absorb them.
About this website
This site is the StackHeal marketing and documentation front end. It does not include a customer portal, and it does not execute workflows, provision infrastructure or connect to any system described here. Sign-in and sign-up destinations are configurable rather than simulated — see the repository README.
Want to see whether this fits your operation?
The most useful first conversation is a specific one. Bring two or three request types your team handles manually and we will map them out with you.