ELI Labz - Enhanced Lifelike IntelligenceFrontier AI · Human + Agent Lab

Enhanced Lifelike Intelligence for Human and AI Agent Collaboration.

ELI Labz builds agentic AI systems that help humans and AI agents reason, remember, collaborate, and perform meaningful digital labor.

GenAIAgentic AIMultimodal ReasoningDigital LaborHuman-AI Collaboration

ELI Agent Loop

ELIAgent Loop
  • Observe
  • Reason
  • Act
  • Verify
  • Remember
  • Collaborate

Hover or tap a node to trace the agent loop.

Observe → Reason → Act → Verify → Remember → Collaborate

The ELI Platform

A full stack for agentic, collaborative intelligence

Six integrated layers turn raw model capability into reliable, bounded, human-aligned digital work.

Reasoning Core

System-2 style reasoning, tool-assisted reflection, self-checking, and verification before action.

Memory Layer

Short-term, working, long-term, episodic, and workflow memory that persists across tasks.

Multimodal Perception

Text, image, audio, video, screen state, and interface awareness for situated understanding.

Digital Labor Engine

Agents that operate browsers, files, documents, spreadsheets, and dashboards with bounded action.

Human Collaboration

Approvals, handoffs, role awareness, escalation, preference learning, and cognitive offload.

Reliability & Safety

Policy gates, confidence signals, audit traces, recovery loops, and human override.

Coworker-1

Recursive Self-Improvement Claim Ladder

Progression from bounded scaffold RSI toward full recursive self-improvement — an honest map of what our systems credibly do today.

7Level

Claim

AGI-level intelligence-explosion RSI

Your current status

No public system has conclusively demonstrated this

6Level

Claim

Recursive improvement of the research loop

Your current status

Partial — meta-loop self-tunes the research strategy (Goodhart-guarded; structural changes human-gated)

5Level

Claim

Automated AI-research loop

Your current status

Partial — automated loop over the owned narrow-model space (proxy evals; real training human-gated)

4Level

Claim

Main model self-adaptation

Your current status

Partial — operating-envelope adaptation (gated, human-promoted; not weights)

3Level

Claim

Narrow model self-training

Your current status

Yes, but bounded (+ local Phi-Silica full-parameter lane, precondition-gated)

2Level

Claim

Gated code and policy self-improvement

Your current status

Yes, bounded (closed-loop, human-gated, reversible)

1Level

Claim

Scaffold self-improvement

Your current status

Yes, credible

Bounded

Verifiable digital work with human oversight where appropriate.

Evidence-first

Reasoning grounded in observation, tools, and verification.

Human + Agent

An operating model that augments people, not replaces them.

Build the human + agent operating model with ELI Labz

Collaborate on research, prototype an agent, or follow the builds. We work in the open.