Building verified autonomy for mission - critical enterprise systems

The frontier AI lab turning cutting-edge agentic research into enterprise infrastructure

Partner logos Partner logos

Emergence builds mission-critical agentic infrastructure that


Our team of AI researchers are advancing the core science required to make autonomous systems dependable in the most demanding environments, by solving hard problems in memory, coordination, verification, and safe execution.

We deploy our research directly with leading enterprises, delivering the speed, reliability, and verified control that allows businesses to operate autonomously across their most critical systems.

Our solutions are built on three core pillars

Determinism

Autonomous systems engineered to operate predictably and verifiably across policies, permissions, and system boundaries, especially where failure is unacceptable.

Diagram of a face with four orange squares on the cheeks and forehead, lines connecting the squares to form a face outline.

Governed everywhere

Formally verified, risk-managed agent networks that enforce constraints and safety across the entire enterprise stack.

A black-and-white illustration of a person running with a briefcase, with an orange House icon in the center

Continual self-improvement

Persistent memory systems that retain context, validated decisions, and learned remediations – converting every execution into durable institutional advantage.

Simple diagram of a chemical molecule with multiple black circles connected with lines and an orange square

Emergence in Action

Semiconductors: Design & Verification to Silicon

Our specialized agents span the entire semiconductor manufacturing lifecycle, from design verification to production. By understanding complex chip architectures and manufacturing processes, we help identify defects early, optimize yields, and reduce time-to-market. Ultimately, our solution is transforming core processes within the industry.

  • Our team brings leadership backgrounds spanning IBM Research, IBM Microelectronics, and Broadcom, with experience across EDA and verification, silicon bring-up and production readiness, and advanced device/interconnect and packaging technologies. In parallel, we have led and contributed to benchmark-leading agentic AI research and systems, including work associated with Agent E, BIRD-SQL, HELM, and LongMemEval, as well as advances in recursive intelligence which are essential for building scalable, reusable automation across many semiconductor workflows.

  • Our purpose-built agentic workflows embed subject-mater expertise while remaining adaptable to engineering teams’ needs.

    Our agents specialize across the entire semiconductor manufacturing lifecycle, from design to production, automating investigations, decisions, and corrective actions so that your engineers can focus on what matters most.

  • We partner leading semiconductor companies, in addition to other leading industry-standard yield platforms, to deliver a comprehensive solution that works above your existing stack.

Determinism

Engineering processes delivered with machine precision

Structured workflows deliver machine precision while remaining adaptable to engineering needs. This balance minimizes costly errors and accelerates production timelines. 

Flowchart illustrating a process with boxes labeled 'Test data', 'Emergence AI agentic platform', 'AI-generated reports', 'Iterative refinement', 'SME review and feedback', and 'Final report', connected with arrows indicating workflow.

Governed everywhere

Safety built for all engineering environments 

Every insight is fully traceable — from raw wafer test data to final recommendation — keeping engineers in control through reproducible analyses and role-based access controls. Built-in auditability ensures AI accelerates investigation without compromising operational trust. 

Slide presentation with bulleted points on what an agent did, agent approach, learnings applied, and why this matters, featuring color-coded bullet points.

Continual self-improvement

Accuracy refined with every analysis

User feedback on false positives and negatives makes the system more accurate over time. Teams spend less time on false leads and focus on high-value work that drives ROI. 

Line graph showing wafer-level failure distribution by lot, with lots labeled from 01 to 10. Lot 05 and Lot 10 are highlighted as having larger variations. A red warning icon and note at the bottom indicate excluding Lot 05 from the analysis. The graph has a white background with a red and orange border.
A diagram with a central large orange square surrounded by smaller white, yellow, and orange squares connected by lines on a black background.

AI is only as powerful as what it remembers

We are the leading experts in context management and long-term memory. Emergence just set the state-of-the-art standard for AI memory and context management (86% accuracy) on the LongMemEval benchmark.

This benchmark, LongMemEval, consists of a rigorous set of evaluations designed to test an agent's ability to maintain and retrieve information across extremely long conversational contexts (up to 100k+ tokens).

Contact Us

Interested in working together? Fill out some info and we will be in touch shortly. We can’t wait to hear from you!