Agent Runtime
Multi-agent orchestration with long-term memory, tool use, and human-in-the-loop checkpoints.
Enterprise AI Infrastructure
Artificial Labs designs secure, scalable AI systems and autonomous agents that integrate with your data, workflows, and people.
The Platform
Build, deploy, and operate AI agents with full observability, access control, and audit trails.
Multi-agent orchestration with long-term memory, tool use, and human-in-the-loop checkpoints.
SOC 2 Type II controls, SSO, RBAC, and encryption in transit and at rest by default.
Use the best model for each task. Switch between providers without rewriting pipelines.
Trace every agent decision, measure latency and cost, and debug runs in real time.
Connect to databases, documents, APIs, and vector stores with pre-built integrations.
Escalate critical decisions to the right people with approvals, comments, and audit history.
Solutions
From customer operations to research and compliance, our agents handle complex workflows while your teams stay in control.
agent:
name: compliance_reviewer
model: claude-sonnet-4
tools:
- search_policy_db
- generate_report
- request_approval
memory: long_term
guardrails:
- pii_redaction
- output_schema: iso27001
Research
Our research team works on agent alignment, robust tool use, and efficient inference for production systems.
New training and verification methods that keep agents on task across thousands of steps.
Speculative decoding and dynamic batching that cut serving costs without sacrificing quality.
Continuous red-teaming and automated evals to surface failure modes before production.
Company
Artificial Labs was founded to close the gap between cutting-edge AI research and production-grade business systems.
We partner with Fortune 500 companies, regulated industries, and high-growth startups to deploy AI that is accurate, auditable, and secure.
Talk to our team about a pilot tailored to your use case.