Bastion is a sovereign AI operating system for the enterprise. Three integrated layers, sold as one product. A pre-architected agent platform with role-based templates for every core function. An on-premise inference appliance that keeps every byte inside your perimeter. Continuous, client-side encrypted continuity backup. The compliance posture, the operating structure, and the resilience story, in one SKU.
Every enterprise is being told to adopt AI. Almost none of them can do it safely.
The dominant LLM platforms require shipping your most sensitive data, customer records, pricing, IP, legal correspondence, internal strategy, to a third-party cloud, processed on infrastructure you do not control, by a model whose weights and update cycle you do not own. For regulated industries (finance, healthcare, legal, defense, manufacturing IP), this is a non-starter. For everyone else, it is a slow-motion compliance liability.
Companies that try to roll their own private AI hit a different wall. A six-month systems integration project. No operational structure, no agent framework, no governance layer. A stack of expensive consultants who leave behind a chatbot that no department actually uses.
The market needs a third path.
Bastion is delivered as one SKU because the three layers reinforce each other. Skip any one of them and the value collapses.
A structured agent platform.
A pre-architected organizational LLM with role-based agent templates for every core function. Sales, Finance, HR, Operations, Legal, Marketing, Customer Service, Engineering. Each department gets a configured agent with its own knowledge base, permissioned data access, workflow hooks, and a shared collaboration surface so agents and humans can hand off work between teams.
This is the layer most enterprise AI plays skip. We treat the org chart as a first-class data structure. Onboarding is measured in days, not quarters, because the structure is opinionated and the templates ship working.
The on-premise appliance.
A purpose-built device that lives in the customer's server room, plugs into their network, and runs the entire inference stack locally. No data ever leaves the building. No telemetry, no training feedback loops, no shadow ingestion. The customer owns the model weights, the embeddings, the vector store, and the audit log.
Air-gapped deployment is supported out of the box. SOC 2, ISO 27001, GDPR, and HIPAA postures are achievable on day one because the architecture removes the hardest control of all, data residency.
Encrypted continuity backup.
Continuous, client-side encrypted snapshots of the entire stack. Model state, knowledge bases, agent configurations, conversation history. Replicated to a customer-controlled secondary site or to our zero-knowledge backup service.
If the appliance is lost, stolen, damaged, or replaced, a full restore is a single command. The customer holds the keys. We cannot read the data even if we wanted to.
The companies that win this category will be the ones that productize all three layers, structure, sovereignty, resilience, into a single SKU. That is the gap, and it closes fast.
The EU AI Act, sector-specific data residency rules, and a hardening cyber-insurance market are pricing public-cloud AI out of regulated workloads. The cost of "send your data to a hyperscaler" keeps climbing.
Llama, Qwen, Mistral, and DeepSeek-class models are now genuinely useful for enterprise tasks at hardware footprints that fit in a 2U appliance. The "you must use a frontier hyperscaler" argument no longer holds for 80% of internal use cases.
The enterprise conversation has moved from "give us a chatbot" to "give us workflow automation with judgment." Buyers want agents wired into their processes, not a search box bolted onto Confluence.
Hardware plus software, on an annual subscription. The appliance ships pre-provisioned. The platform updates over an authenticated channel the customer controls.
Pricing is per-seat plus a hardware lease component, with vertical packs as paid add-ons. The model looks more like Palo Alto Networks or an on-prem Splunk deployment than an OpenAI API reseller, and the gross margins, retention numbers, and contract length reflect that.
A 2U appliance, pre-provisioned, plugged in and online inside a day. The agent templates are configured before delivery. The first three departments are onboarded by week two. The platform improves over time through a customer-controlled update channel, never through telemetry or training feedback.
Each layer makes the next one harder to copy. The result compounds with every customer.
The agent library improves with every customer. Each new finance deployment makes the finance template stronger. The next deployment ships better than the last.
Once an organization's institutional knowledge is encoded as agent context inside the appliance, replatforming is genuinely painful, in the way that ripping out an ERP is painful.
"Your data stays on your premises" is a claim a hyperscaler structurally cannot make. We can, and we can prove it cryptographically.
If you have a question that isn't here, that's also fine. Bring it to the briefing.
Open-weight families, primarily Llama, Qwen, Mistral, and DeepSeek-class models, selected per workload. The weights ship on the appliance. The customer can inspect them, version them, and roll back. There is no hidden hosted dependency.
Updates flow over an authenticated channel the customer controls. The customer chooses the cadence and the maintenance window. Air-gapped sites receive signed update bundles delivered by the operator's preferred process.
Backups are encrypted client-side with keys held by the customer. Our zero-knowledge backup service stores ciphertext only. We cannot read the data, even with full physical access to the backup volume.
Department agents reach the rest of the stack through MCP servers running on the appliance. Connectors for ClickUp, Slack, Microsoft 365, Salesforce, Postgres, and the major warehouses ship with the platform. Custom connectors are vertical-pack add-ons.
A 60-minute briefing. We walk through the architecture, the deployment model, the compliance posture, and the verticals shipping today. If Bastion is the right shape for your operation, we'll say so. If a smaller WildBreeze module is enough, we'll say that too.
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