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Now generally available

Ship AI features your engineers actually trust

Arclight orchestrates AI agents across your stack with full traceability — every decision, every call, every rollback, logged and reviewable.

Start buildingView pricing
Workflows orchestrated / day
42K+
Median latency
180ms
Engineering teams
1,200+
Uptime
99.98%
arclight — pipeline / checkout-agent

Agent: retrieval

Running

Step 4 / 7 · deploy

Queued

Policy check passed

Verified

Trusted by engineering teams at

Fractal Systems
Nimbus Cloud
Vertex Robotics
Circuit Labs
Orbital
Boxwood
Fractal Systems
Nimbus Cloud
Vertex Robotics
Circuit Labs
Orbital
Boxwood

Platform

Everything engineering teams need to run AI in production

Not a demo layer on top of a model. A control plane for every agent your team ships.

Agent orchestration

Compose multi-step agent workflows visually, then run them with automatic retries, timeouts, and fallback paths built in.

Real-time observability

Watch every agent call, token, and decision as it happens, with a live trace timeline for each run.

Policy guardrails

Define what agents are allowed to touch. Violations are blocked before they reach production data.

One-click rollback

Every deployment is versioned. Revert a misbehaving agent to its last known-good state in seconds.

Native integrations

Connect to your existing stack — GitHub, Slack, Postgres, and 40+ others — without writing glue code.

Traceability

See exactly why an agent did what it did

Every reasoning step, tool call, and token is logged to a single trace, so debugging an agent is as fast as debugging a stack trace.

  • Full input/output capture on every step
  • Replay any run against a different model or prompt
  • Searchable trace history across every agent
trace / run_8f21a
retrieve_context12ms
call_model · gpt-tier340ms
validate_output8ms
write_to_db44ms

Guardrails

Policies that stop bad actions before they ship

Define what data, endpoints, and actions each agent can touch. Violations are blocked at the orchestration layer, not caught after the fact.

  • Scoped permissions per agent and per environment
  • Approval gates for high-risk actions
  • Real-time alerts on policy violations
policy / checkout-agent
Read: customer recordsAllowed
Write: billing tableBlocked
Call: refund_apiBlocked
Read: support ticketsAllowed

Live view

One control plane, every agent

Try it — switch tabs to see how traces, policies, and deployments all live in the same place.

app.arclight.ai/dashboard

checkout-agent · run_8f21a

7 steps · 412ms total

Completed

support-triage · run_2c90d

4 steps · 188ms total

Completed

refund-agent · run_9a11f

waiting on approval gate

Pending

billing-sync · run_6b4e2

failed at step 3 · validate_output

Failed

Process

From integration to production in four steps

01

Connect your stack

Point Arclight at your models, databases, and internal APIs. No SDK rewrites — existing endpoints work as-is.

02

Define workflows & policies

Compose agent steps visually and set the guardrails: what data they can touch, what needs approval, what's off-limits.

03

Deploy with confidence

Ship to a canary slice of traffic first. Every version is checkpointed, so rollback is always one click away.

04

Monitor & iterate

Watch live traces, catch regressions early, and tune workflows based on real production behavior.

AI Capabilities

Built for how agents actually behave in production

Not just a wrapper around a chat completion. Arclight handles the reliability problems that only show up once real users are involved.

Routing

Multi-model routing

Route each step to the model best suited for it — a fast small model for classification, a frontier model for reasoning — automatically, based on rules you set.

Retrieval

Context-aware retrieval

Agents pull only the context relevant to the current step, cutting token spend without losing accuracy.

Tool use

Autonomous tool use

Agents call internal tools and APIs directly within policy bounds, with every call logged and attributable.

Reliability

Self-healing retries

Transient failures are retried with backoff automatically; persistent failures escalate to a human instead of looping silently.

Architecture

Composable sub-agents

Break complex workflows into smaller specialized agents that call each other, instead of one monolithic prompt trying to do everything.

Before / after

What changes once Arclight is in place

Debugging an agent means grepping through logs across five services.

One trace shows every step, input, and output in order.

A bad deploy means a scramble to find and revert the change.

Roll back to any previous version in one click.

Guardrails live in scattered if-statements across the codebase.

Policies are defined once and enforced at the orchestration layer.

No one's sure which agents can access which production data.

Every permission is scoped, visible, and auditable.

68%

Faster incident resolution

3.2x

More agents shipped per quarter

91%

Fewer policy-related incidents

Testimonials

Engineering teams that ship agents with confidence

“We used to lose a full day tracing a bad agent decision back to its cause. Now it's a single trace view. Rollout time for new agents dropped by more than half.”

PN

Priya Nair

Staff Engineer · Fractal Systems

“The policy layer is what got this past our security review. We can prove exactly what every agent can and can't touch, in an audit-ready format.”

MO

Marcus Ohene

Head of Platform · Nimbus Cloud

“Rollback alone paid for the subscription. We shipped a bad prompt update to production and reverted it in under a minute.”

EV

Elena Vasquez

Engineering Manager · Vertex Robotics

“Multi-model routing quietly cut our inference bill by a third. We didn't have to change a single line of our agent logic.”

TF

Tomás Ferreira

ML Infrastructure Lead · Circuit Labs

“Our on-call rotation stopped dreading agent incidents. Self-healing retries catch the transient failures before anyone gets paged.”

SL

Sofia Lindqvist

SRE Lead · Orbital

“Composable sub-agents let us break down a workflow that used to be one unreliable mega-prompt into pieces we can actually test.”

DO

Daniel Okoye

Senior Backend Engineer · Boxwood

Pricing

Simple pricing that scales with you

MonthlyYearlySave 20%

Starter

For small teams shipping their first agents.

$39/ mo
  • Up to 3 agents
  • 10K traced runs / month
  • Community support
  • Basic policy guardrails
Start free trial
Most popular

Team

For teams running agents in production.

$119/ mo
  • Unlimited agents
  • 250K traced runs / month
  • Priority support
  • Advanced policy guardrails
  • One-click rollback
  • Approval gates
Start free trial

Enterprise

For organizations with custom compliance needs.

Custom
  • Everything in Team
  • Unlimited traced runs
  • Dedicated support engineer
  • Custom policy engine
  • SSO & audit log export
  • On-prem / VPC deployment
Contact sales

FAQ

Questions, answered

Any model reachable over an API — OpenAI, Anthropic, open-weight models on your own infrastructure, or a mix. Routing rules decide which model handles which step.

Ready to ship agents you can trust?

Start a free 14-day trial. No credit card, no sales call required.

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Arclight

Arclight orchestrates AI agents across your stack so engineering teams ship faster with full traceability.

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