About
Lelu AI
We are building authorization infrastructure for autonomous AI agents — the security layer that decides what an agent is allowed to do before it acts.
Company Overview
Company
Lelu AI
Founded
2026
Founder
Abenezer Getachew
Team
3 members + 1 advisor
Product
Authorization Engine for AI Agents
Status
Live — 2,000+ SDK downloads
SDKs
TypeScript, Python
License
Open Source (MIT)
Mission
AI agents are powerful enough to take real actions — processing refunds, modifying databases, sending emails, making business decisions. But traditional authorization systems were not built for AI. They assume deterministic, human-driven actions.
AI agents operate with uncertainty, make probabilistic decisions, and can be manipulated through prompt injection attacks. Companies need a security layer designed specifically for autonomous AI.
Lelu provides the security infrastructure that makes AI agents safe for production — allowing companies to move fast without breaking things.
What We Built
Confidence-Aware Gating
Every agent action carries a confidence score. Low-confidence actions route to human review automatically — no code change needed.
Human-in-the-Loop Review
Agents pause, queue their action, and resume once a human approves or denies. Full audit trail included.
Policy Enforcement
Write YAML or Rego policies to express complex rules. Allow, deny, or require review — per actor, action, or resource.
Complete Audit Trail
Every decision is logged with full context, input hash, output hash, latency, and confidence score for compliance and debugging.
Team
Software Developer · AI Researcher
Software developer and AI researcher with deep expertise in security infrastructure, distributed systems, and autonomous agent design.
Built Lelu from the ground up — engine, SDKs, and platform — driven by the conviction that AI agents need purpose-built authorization infrastructure before they can be trusted in production.
Software Developer · UI/UX Designer
Full-stack developer and UI/UX designer responsible for Lelu's platform interface, design system, and developer experience.
Shapes how developers interact with Lelu — from the sandbox playground to the audit dashboard — ensuring security primitives feel approachable and intuitive.
Advisor
PhD Candidate · AI Researcher
PhD candidate and active AI researcher advising Lelu on the frontier of autonomous agent behavior, model safety, and AI decision-making. Brings academic depth to Lelu's approach to confidence scoring, behavioral anomaly detection, and agent trust frameworks.
Contact
Open Source — MIT License
Security infrastructure should be transparent and auditable. Self-host or use our managed platform.