Seneco builds the SentinelX Ecosystem — a production-grade AI platform and managed Docker hosting, governed by a single control plane. Ship models, agents and services without stitching together six vendors.
Calls today
p50 latency
The SentinelX ecosystem
Intelligence needs infrastructure, and infrastructure needs judgement. SentinelX puts model routing, agent execution and container hosting behind the same identity, policy and billing layer.
A gateway, runtime and evaluation layer for teams putting models into production — not just into a demo.
Managed Docker hosting without the cluster. Push an image, get a hardened HTTPS endpoint with scaling and rollback built in.
Reference architecture
Most stacks are a pile of dashboards. SentinelX is composable by design but coherent by default: the same project, the same keys, the same audit trail from the first model call to the hundredth container.
SentinelX AI
One gateway in front of every model. One runtime for tools, memory and long-running work. Policy applied before a token is spent.
Route across frontier and open-weight models by cost, latency or policy. Failover, caching and semantic response caching included.
Durable runs with tool calls, approvals and streaming. Work continues across restarts, deploys and model swaps.
Connect your data, then prove quality with regression suites that run on every prompt, model or retrieval change.
Guardrails, PII redaction, spend caps and an unbroken audit trail — from prototype to audit committee.
import { SentinelX } from "@seneco/sentinelx"; const sx = new SentinelX({ project: "atlas-prod" }); const run = await sx.ai.run({ model: "auto", // route by cost, latency, policy input: "Triage this incident and draft a customer note.", tools: [pager, runbooks, statusPage], policy: "soc2-restricted", approval: { write: "human" },}); console.log(run.output); // streamed, cited, audited42ms
Routing overhead, p50
7 days
Agent run lifetime
99.98%
Successful calls, 30 days
SentinelX Cloud Beta
Managed Docker hosting for teams that would rather ship than operate a cluster. TLS, scaling, secrets and rollbacks are handled — and it shares a control plane with your AI workloads.
Point at a registry or a Git repo. We build the image or take yours as-is — no Dockerfile rewrite required.
Choose a region and size. Rolling deploys with health checks, automatic rollback and preview environments per pull request.
Logs, metrics, managed Postgres and private networking — with one invoice and the same policy layer as your agents.
$ seneco deploy acme/api:v42 --region sin-1→ image pulled acme/api:v42→ build cached · 12.4s→ health check /healthz 200 OK→ rollout 3/3 tasks ready✓ live https://acme-api.sin-1.seneco.tech# zero-downtime · TLS managed · rollback readyBetaNo SLA during beta. Capacity is released in weekly batches and production workloads are reviewed individually.
Certificates issued, renewed and rotated for you.
Scale on CPU, memory or request concurrency.
Every pull request gets an isolated URL.
Services talk over an isolated project network.
Return to any previous release in one step.
Encrypted at rest, scoped per environment.
Backups, point-in-time restore, read replicas.
Pin workloads to sin-1, jkt-1 or ams-1.
99.99%
Control-plane design target, measured across regions
42ms
Median gateway overhead at p50, excluding model time
3
Live regions with project-level residency controls
<24h
Median security questionnaire turnaround for enterprise
Where it lands
Regulated data, legacy systems, seasonal load. The platform adapts to the operating environment you already have — not the other way around.
Document-heavy workflows with human approval gates, regional boundaries and an evidence trail your risk team can actually read.
AI · Policy · ResidencyDe-identified retrieval, traceable outputs and escalation paths designed around clinical review rather than around a demo.
Guardrails · EvalsForecast, route and reconcile across operational systems with agents that survive flaky APIs and long-running jobs.
Agent runtime · ToolsDedicated tenancy, residency guarantees and procurement documentation prepared for the questions that arrive after the pilot.
Enterprise · DedicatedSupport automation and merchandising tools that scale with traffic spikes, not with the size of your platform team.
Cloud · AutoscalingShip AI features and containerised services on the same identity, policy and invoice. Fewer vendors, fewer reviews.
AI + Docker hostingTrust & governance
Security is not a page we wrote for procurement. It determined how projects, keys and workloads are isolated from the first commit.
SOC 2 Type II readiness program in progress. ISO 27001 roadmap published to customers under NDA. Data processing addendum available on request.
TLS 1.3 in transit, AES-256 at rest, customer-managed keys on Enterprise.
SAML and OIDC providers, with role mapping and automated deprovisioning.
Pin inference, storage and containers to a region at the project level.
Dedicated namespaces, scoped secrets and no shared runtime between projects.
Every deploy, prompt, policy change and key rotation is attributable.
Customer content is never used to train models. Retention is configurable.
We replaced three vendors, two internal tools and a very tired spreadsheet. The part we didn't expect was how much shorter the security review became.
Questions, answered
If your question is not here, a human will answer it — usually the same person who built the thing.
SentinelX Cloud is in public beta. It is a good fit for internal tools, preview environments and staging today, and we are onboarding production workloads case by case. Beta services are excluded from the standard SLA while we validate capacity and failure modes. Beta customers get direct engineering access and locked-in pricing at general availability.
Yes. The gateway supports frontier providers and open-weight models, including bring-your-own endpoints and keys. Enterprise deployments can run inside your own VPC or a dedicated tenant with private networking, so traffic never crosses a shared data path.
Live regions are Singapore (sin-1), Jakarta (jkt-1) and Amsterdam (ams-1), with residency pinned at the project level. Customer content is not used to train models. Prompts and completions are retained only for the window you configure, and audit records are immutable.
SentinelX AI is billed on usage with per-project spend caps. Docker Hosting is billed per service plus compute hours, with managed Postgres priced separately. There is a free developer tier for evaluation, and beta customers keep a 50% discount through the first year of general availability.
SentinelX AI carries a 99.9% monthly uptime commitment on Team and Enterprise plans, backed by service credits. Enterprise agreements include DPA review, security questionnaires, SSO/SCIM and named support. Docker Hosting will carry an SLA at general availability.
Start here
Start with a free developer project, or talk to us about migrating a production workload. Beta access is reviewed individually.
No credit card required for the developer tier. Docker Hosting is in public beta.