Holus orchestrates your AI agents with deterministic pipelines, multi-model routing, and full observability. No black boxes. No hallucination cascades.
Most enterprise AI projects produce unpredictable outputs, no visibility into failures, and fragile pipelines that break in production.
Teams deploy AI and get different results every run. No way to know if an output is correct until it's already in production.
When an AI pipeline fails, no one knows what step broke, which model was responsible, or how to reproduce the error.
Models hallucinate and no one catches it. One bad output cascades into the next step, compounding the error silently.
Engineering, content, and data teams all build their own fragile AI pipelines. No shared standards, no reuse, no institutional knowledge.
Every component of Holus is designed for production environments where accuracy, auditability, and reliability are non-negotiable.
Every step is verified before the next one runs. If a step fails the gate, the pipeline stops — not cascades. No hallucination snowballs reach production.
Automatically routes each task to the right model — Claude for reasoning, Gemini for research, Codex for code. The best model for each job, without manual configuration.
Every agent run is logged, scored, and auditable. Know exactly what ran, which model was used, what the output was, and why it passed or failed the gate.
Deploy AI agents across distributed teams without a centralized bottleneck. Each department gets agents tuned for their workflows. No rip-and-replace — integrates via API.
Connect Holus to your existing stack via API. No infrastructure migration required. Works with your current tools, models, and data sources out of the box.
Define your pipelines with phase-gated verification steps. Holus routes each task to the right model, runs verification gates at each step, and stops on failure — not cascades.
Every run is logged, scored, and auditable from a single dashboard. See exactly what each agent did, which model ran it, and how quality has trended over time.
Holus works wherever teams are deploying AI today — without requiring you to change how you build.
Automate code review, spec validation, and PR summaries with agents that verify their own outputs before reporting back. Every comment is traceable to the model that generated it.
Generate content at scale with quality gates at every step. Brand voice checks, factual verification, and approval workflows — before anything gets published.
Run AI-driven data pipelines with deterministic verification at each transformation step. Catch anomalies and model drift before they reach downstream consumers.
Holus is in early access. Join engineering and product teams already building with deterministic AI pipelines.
Request Early AccessNo setup fee. Onboarding included.