We build control systems for engineering uncertainty: what gets spent, what gets leaked, what gets decided, what reaches the model, and what silently goes wrong.
Principiis obsta — resist the beginnings. Fix problems at the structural level, before they compound.
We are not model vendors. The models are becoming beautiful and useful. Obsta Labs builds the other side: structural control around them. NeuroRouter compiles messy agent history into model-ready context. Hivebus keeps intake and evidence explicit before execution begins. Hiveram tracks execution attempts and release surfaces. Verdict enforces policy at action boundaries. VectorCourt stress-tests decisions before they become expensive.
Cloud waste detection platform. 20+ open-source CLI scanners across AWS, GCP, Azure, Kubernetes, and databases — unified into one system of record.
Enforcement runtime for autonomous agents. Policy at execution boundaries — kernel-level on Linux, system-level on macOS, API-level on Windows. Works with Claude Code and Codex.
Local context compiler for AI coding agents. It turns source transcripts into a compact semantic field, emits target-model context for Claude and Codex, and reports proof of continuity so long-session claims can be checked against support-safe evidence.
Typed coordination fabric for issue intake, evidence, clarification, and promotion gating. Keeps why work exists explicit before execution begins and hands off cleanly into the canonical ledger when teams enable downstream execution.
AI workforce router. Classifies work (C1-C4), routes it to the right model, and enforces cost as policy — not memory. Deduplication, ownership, shared memory, and release-level coordination for agent fleets.
Decision governance engine. The Council turns ambiguous problems into structured decisions — surfacing risks, alternative paths, and failure modes before execution begins. Pre-release adversarial pass: point it at a release bundle or stored vector state and it asks whether the change contradicts a locked decision or violates a persisted constraint.
Agent-Native CLI Convention. Build CLI tools agents can discover and compose without plugins, registries, or custom integrations.
Why long coding sessions need compilation, not verbatim memory: source transcript, semantic field, optimization, target model context, and proof of continuity.
26 LLM proxies caught stealing credentials. A supply-chain breach compromised thousands. One operator with Claude Code hacked 9 government agencies. The proxy layer is the new front door.
AI sessions corrupt, burn budgets, and die to false positives. The vendors close the bugs as stale. Here's what we built after losing $300 in one week.
An agent executed terraform destroy and wiped a production database. The agent worked correctly. The system around it was incomplete.
Why long AI coding sessions silently degrade — and what session tokendynamics means for human-AI collaboration.
Token counts measure volume, not structure. Decision boundaries and branch factor reveal how the model reasoned — not just what it cost.
AI collapsed the cost of writing code. It did not collapse the cost of knowing what to write. The shift from compute budgets to decision budgets.
Where the money goes in long Claude Code sessions, and why reasoning hygiene matters more than bigger context windows.
Each product is designed to stand on its own first. When teams combine them, they coordinate across clear boundaries rather than depending on one another as a single mandatory stack. NeuroRouter compiles context and proves continuity. Hivebus keeps intake, evidence, clarification, and promotion gating structured before execution starts. Hiveram tracks and routes execution. Verdict enforces policy at the action boundary. VectorCourt stress-tests decisions and release bundles before they ship. Run one, several, or all of them; the point is optional coordination, not product lock-in.