Governed AI Runtime
Veklom gives engineering teams a controlled workspace to test agents, connect repositories, enforce policy gates, monitor runtime activity, and generate audit-ready evidence.
Watch Veklom test, verify, and gate an agent against a real repository — before it touches production.
Engineering teams want to use AI agents — but they don't trust them near repositories, cloud tools, customer data, or production workflows. That instinct is right. Veklom answers it.
"Can I let an agent inspect our repo safely without risking leaks or unintended commits?"
"Can I see exactly what the agent did, every file it read, and every API call it made?"
"Can I dynamically block risky, destructive, or out-of-scope actions before they commit?"
"Can I isolate sensitive tokens, secrets, and provider credentials away from the frontend?"
"Can I produce a sealed, unalterable record if compliance asks why and how this agent ran?"
"Can I run this runtime privately on our own infrastructure without paying public cloud taxes?"
Veklom is a governed AI runtime — not a playground, not a marketplace, not a sandbox. Every module connects to a single policy, billing, and audit layer.
Connect agents to real repositories, tools, and workflows in a controlled workspace. Every action is observed, gated, and logged before it reaches production.
Monitor runtime activity, agent actions, GPC decisions, spend, alerts, and audit evidence. Know exactly what ran, what was blocked, and what it cost.
Move from hosted evaluation to dedicated or self-hosted BYOS deployment. Same governance. No public cloud dependency. Your data stays in your boundary.
Available as part of the Veklom product ecosystem. High-performance modules and products built to expand your sovereign runtime limits.
High-performance route optimization and concurrency sandbox for agent/runtime workloads.
A Veklom marketplace product for controlled, governed execution workflows.
Interact with the real-time operational coordination core below.
Every agent call, repository hook, and container tool execution routes through our isolated proxy layer to ensure absolute compliance.
Empower platform and security teams with out-of-the-box templates designed for immediate integration.
Connect your repository and ask an agent to review it. Veklom tells you what's verified, what's risky, what needs approval, and what gets blocked — before touching production.
Let Copilot, Cursor, or custom corporate agents operate inside your codebase — with every action logged, policy-gated, and fully revertable. Stop flying blind on agent activity.
Run multi-step LangChain pipelines through our GPC layer. Each node in the chain gets its own policy check, spend limit, and automated audit entry.
Every agent action produces a SHA-256 signed evidence block — timestamped, immutable, and exportable. Instantly answer compliance: what ran, when, and who approved it.
| Capability | Veklom | TrueFoundry | Portkey | LangSmith | Bedrock / Vertex |
|---|---|---|---|---|---|
| Governed Plan Compiler (GPC) | ● | — | — | — | — |
| Pre-execution risk & policy | ● | — | Partial | — | Partial |
| Signed evidence packages | ● | — | — | — | — |
| Replayable audit bundles | ● | — | — | — | — |
| BYOK + zero key exposure | ● | ● | ● | — | ● |
| Tenant-scoped workspace | ● | ● | — | — | ● |
| Private/BYOS runtime | ● | ● | — | — | ● |
| Operating Reserve billing | ● | Subscription | Token-based | Subscription | Pay-per-use |
| Marketplace with vendor payouts | ● | — | — | — | Partial |
| 120-agent autonomous workforce | ● | — | — | — | — |
Three deployment boundaries — running the same policy-governed runtime core.
Start immediately on Veklom's managed secure cloud. Full governance, instant setup.
Isolated Hetzner EU node, dedicated exclusively to your team. Data never leaves your geography.
Deploy the full Veklom runtime in your private VPC or on-prem. Air-gap ready.
No subscriptions. No token fiction. No surprise invoices.
Refreshes every 60 seconds. Real data from GET /api/v1/platform/pulse
Good. Run them through Veklom first. Test, govern, and prove AI execution — before anything matters.
Report a bug, suggest a feature, or just say hi.