DIJ—LABSAI INFRASTRUCTUREBring deployment, monitoring, security and backups into one platform — for an existing project or a new server. AI agents analyze your environment, spot issues and propose fixes, while you keep full control of what gets executed.
A read-only audit and a clear report of risks and opportunities. No card, no commitment.
From the first server to the last update: DIJ-LABS gives you one place to run your infrastructure and applications, and to know what needs your attention before it becomes a problem.
Pick the path that fits your work: self-service building, managed operations, or enterprise solutions.
Start with what you need now and add the rest when you need it.
Keep your server with your current provider and connect it to the platform to review its health, performance, security and backups.
Server connected. 4 issues found.
Choose the server specs that suit your application, then launch it with the tools needed for management and monitoring.
Connect your project and ship a new release, with clear steps for build and verification and for following what happens after deployment.
Manage your applications' access to AI models from one point, and track usage and cost by application or team. Early access.
One point between your applications and the model providers, configured by you.
Explore DIJ AI GatewayWe review security, performance and backups with read-only access, then deliver a report of what to fix and improve, ranked by priority.
We settle with you on a suitable access method for the audit, without changing the server's settings.
We check resources, exposed services, updates, security and backups.
You see the issues found, their impact and the suggested steps to fix them.
You can carry out the recommendations with your team or ask for our help, with no prior commitment.
Start with the service you need, then widen how you manage as your applications grow.
Servers, storage and networks chosen to fit your system's requirements, with the specifications and hosting location stated in the quote you receive.
02One place to connect and launch servers, deploy applications, and manage domains, certificates, databases and runtime settings.
03Monitoring, analysis and recommendations that help you follow server health, performance and security, including servers at other providers.
04An engineering team that helps with setup, migration, optimization and responding to problems, within a clear scope of work.
05Isolated environments for running AI agents with permissions, limits and an action log.
06MCP server hosting with permissions, audit and trusted templates that connect your agents to your tools.
Resources, apps, deployments, backups and security on one page — instead of hunting across scattered tools.
Specialist agents cover each part of operations and propose actions. You set permissions and approval levels per system.
$ agent --name root --status
Server overview
Collects server and service information and shows its state and the issues that deserve attention first.
$ agent --name ping --status
Monitoring and alerts
Monitors resources, services and response time, and helps you understand the cause and impact of an alert.
$ agent --name volt --status
Performance optimization
Analyzes resource usage and databases, and suggests improvements you can review before they are applied.
$ agent --name guard --status
Security review
Checks settings, ports and updates, and shows the risks and the suggested steps to fix them.
$ agent --name ship --status
Deployment and releases
Organizes build, deploy and verification steps, and gives you a clear log of what happened in each release.
$ agent --name byte --status
Application optimizationV2 · in development
Helps review queries, caching and production settings.
A unified gateway for models, a team of agents that monitors and suggests, and tools to run your own agents within clear limits.
A unified interface for models, keys per application or team, and budgets, limits and a log of usage and cost.
AI TeamROOT, PING, VOLT, GUARD, SHIP and BYTE: they monitor, analyze and suggest — and execution needs your approval.
DIJ Agent LabIsolated environments for running your agent with resource quotas, network policies and an action log.
DIJ MCP HubPrivate MCP servers for your workspace with permissions, audit and trusted templates.
Connect your apps to one interface, assign access keys, track usage and estimated cost, and set limits per app or team.
- baseURL: "https://api.provider.example/v1" - apiKey: process.env.PROVIDER_KEY + baseURL: "https://gateway.your-company/v1" + apiKey: process.env.DIJ_VIRTUAL_KEY
Change two lines only, and the rest of your code stays as is for compatible providers.
| KEY | SCOPE | STATE |
|---|---|---|
| dij_vk_••••a91f | Mobile app | active |
| dij_vk_••••3c07 | Core system | active |
| dij_vk_••••e552 | Support assistant | limited |
| dij_vk_••••7d10 | Internal tools | revoked |
Disabling one key doesn't affect the other applications or the provider keys.
See who consumed what, instead of collecting invoices from every provider.
Every control is optional: you enable it and set it per key.
DIJ AI Gateway is currently in early access for companies. We explain the available capabilities and model/provider compatibility before you start.
Every capability is labeled with its status. What depends on setup only works once it's configured with you, and what's planned hasn't launched yet.
An OpenAI-compatible API endpoint your applications connect to, instead of connecting to each provider separately.
For supported providersProvider keys are stored centrally, and each application or team gets its own independent key that can be stopped without touching the rest.
Depends on setupView usage and estimated cost per key, application or team.
Estimated · depends on setupSpend and request-rate limits per key or team, wherever your setup supports them.
Depends on setupRoute requests to the supported providers, and set up fallbacks when needed.
Depends on setupMetadata and cost per request. Logging the text of requests and responses is an explicit option that you decide.
Depends on setupConfigure sensitive-data (PII) masking or other controls before a request reaches the provider. Not enabled automatically.
Not enabled automaticallyManage the gateway alongside your servers and applications inside the DIJ-LABS environment itself.
PlannedSet up the environment, deploy from Git or Docker, review in Staging, roll back in one step — with logs, domains, secrets and databases in one place.
Linux servers with defined resources, SSH keys, private networks and snapshots.
Git & Docker deployConnect the repository or image and deploy on every change, with build and runtime logs.
Staging & RollbackCopy Production to Staging, try it, then push — and roll back to the previous release in one step.
Domains · SSL · SecretsLink domains, renew certificates and manage variables and secrets without touching code.
Databases & RedisCreate databases and manage them, with backup and restore.
Logs & HealthBuild and runtime logs, health checks, and automatic restart when needed.
Prepare a test environment, review changes, then ship with checks suited to your system and monitoring after release.
Checks the release is ready before deployment.
Security-checks the changes before they are pushed.
Reviews code and settings for problems.
Watches production after deployment to catch any drift.
Set the backup policy that suits your server, application or database, and follow restore readiness.
Create a copy of an existing environment to test changes or prepare a new one.
Adjust server resources when your application's needs change.
Turn resource figures and alerts into information that helps you pinpoint the cause and priority of a problem.
MySQL is responsible for 71% of current CPU load.
Disk latency increased 340% during the last 27 minutes.
Your application will likely exhaust memory if traffic increases ~35%.01 / 03
Review access settings, ports, updates and certificates from one place.
Choose the level of help your system needs: monitoring only, recommendations to review, or specific actions within agreed permissions.
Know what's happening without making changes.
Understand the problem and the suggested action before deciding.
Allow specific actions, with a clear log of what ran.
Permissions, execution limits and approval requirements are set per system and the agreed scope of work.
Cost depends on infrastructure, level of management and services. Tell us about your system and we'll send a written quote with scope and cost before any commitment.
Servers and resources set according to your application's requirements.
Monitoring, analysis and management by number of servers and scope of work.
Engineering support for work like setup, migration, optimization and response.
No. With "Connect your server" (Connect Server) we work on your existing server as it is — whether it's at a cloud provider, in your data center, or on a dedicated machine. Moving is an option for later, when you decide.
We share location and data-center details when you get in touch, based on your needs and scope of work.
The default is read-only, and every write action needs your approval. Full details and the steps to cut off access are on the Security & trust page.
No. With "Deploy an app" (Deploy Application) you connect your repository, a Docker image or a ready template, and SHIP handles build, test, hardening, deployment and verification without you managing the server yourself.
You set the level of autonomy: monitoring only, recommendations, or authorized execution within defined permissions. Anything needing approval waits for you.
We discuss payment details with you when you get in touch.
Three independent paths: infrastructure, AI-assisted DIJ management per server, and managed services. Pricing depends on your system and scope — get in touch for a clear written quote before any commitment.
Have a server? Start by auditing it. Starting something new? Tell us what to launch and we'll help you choose the next step.