Ship AI agents
that work in production
Without fail.
Never deploy in the dark. Halios is the AI agent evaluation and observability layer for teams shipping to production, detecting edge cases, silent failures, and drift. Feed real-world signals back into your workflow so your agents get smarter with every interaction.
Drop into any modern AI stack
LangGraphThe AI quality gap
Agents drift over time, fail silently, and regress with every change.
The "Happy Path" is an illusion
Agents are non-deterministic. Even with reasoning models, the sequence of tool calls varies. Traditional testing can't validate an autonomous trajectory.
Variability compounds at every step
Drift isn't just model updates - it's interaction variability. A slight dropped constraint in turn one cascades into a critical failure by turn four.
Production has infinite surface area
Users change their minds, break rules, and test boundaries. Static datasets can never simulate the messy reality of live, multi-turn traffic.
Halios Eval Framework
Is the agent achieving the core business objective reliably?
Are the policy guardrails holding up under stress?
Is the latest change objectively better than the previous version?
Read What Anthropic Has to Say About Evals
“The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure.”
Continuous evaluation
Capture. Evaluate. Improve. Repeat.
Most teams do this manually, once, before a launch. Halios makes it continuous, so your agent gets measurably better with every release, not just hopefully better.
Monitor
Intercept real-time agent traces and system logs across your entire stack.
“Capture raw data and traces directly from production or your CI environment.”
Evaluate
Score every interaction against deterministic and LLM-as-a-judge rubrics.
“Get precise, evidence-based quality scores for task completion and safety.”
Optimize
Turn failed traces and low-score runs into optimized prompts and better models.
“Close the loop by feeding performance signals back into development.”
Scale
Deploy updates with confidence, knowing exactly how they compare to your baseline.
“Release smarter agents faster with automated regression testing.”
Halios for Production Agents
The resilience layer for your
production agent fleet.
Autonomous Quality Control
Halios doesn't just watch - it enforces. While our Operating Loop improves logic, our infrastructure ensures that live production agents never deviate from core safety and business parameters.
Guardrails & Policy Enforcement
Deploy Halios as an active gateway to evaluate and block non-compliant agent actions before they reach your users. We sit directly in the execution path, turning your organizational policies into programmable, real-time barriers.
- Hostile Inputs, Prompt Injections, Off-topic Trajectories.
- Hallucination , Tool Execution Gating
- Brand, Safety Compliance, Audit Trail
Continuous Regression Testing
Run commit-triggered evaluations that compare every prompt, model, or tool update against your gold-standard trace library. Catch degraded reasoning and edge-case failures before the code ever merges.
Monitoring & Observability
Automatically capture agent trajectories, tool calls, and performance metrics. Full OTel support gives you the granular traces you need to feed the evaluation loop, without forcing you to replace your existing APM stack.
Turn every trace into a signal. Turn every signal into a better agent.Release smarter, not harder.
Explore Halios PlatformHalios Labs
The reading list we send before every walkthrough.
If you're evaluating agent infrastructure, start here.
Your AI Product Needs Evals
A practical argument for why systematic evaluation becomes the center of an AI product team's workflow.
Demystifying evals for AI agents
"The capabilities that make agents useful also make them difficult to evaluate. The strategies that work across deployments combine techniques to match the complexity of the systems they measure."
Evaluating the Effectiveness of LLM-Evaluators
A detailed survey of what LLM-as-a-judge can do well, where it fails, and how to measure it conservatively.
Let's make your agents reliable.
Join companies using Halios to ship high-stakes AI with confidence. Start your first evaluation today.