Autonomous agents built for mission-critical enterprise systems
Turning raw data into verified enterprise action you can trust - 100x faster
Emergence builds mission-critical agentic infrastructure that
We combine frontier agentic systems research with production engineering to deploy safe, deterministic autonomy for any enterprise
We are a frontier, deep AI lab
Our team of AI researchers are advancing the core science required to make autonomous systems dependable in the most demanding environments— solving hard problems in memory, coordination, verification, and safe execution so agents operate predictably at scale.
We are a forward-deployed solutions provider
We partner with leading enterprises to deploy our research directly into production – delivering the speed, reliability, and verified control that allows businesses to operate autonomously across the most critical systems.
Our solutions are built on three core pillars
Deterministic where it matters most
Autonomous systems engineered to operate predictably and verifiably across policies, permissions, and system boundaries — especially where failure is unacceptable.
Governed everywhere
Formally verified, risk-managed agent networks that enforce constraints and safety across the entire enterprise stack — not just at the prompt layer.
Consistent self-improvement
Persistent memory systems that retain context, validated decisions, and learned remediations – converting every execution into durable institutional advantage.
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.
Learn more about our semiconductors solutionDeterminism
Engineering processes delivered with machine precision
Structured workflows deliver machine precision while remaining adaptable to engineering needs.
agentic platform
reports
refinement
feedback
Agentic Reasoning
Data Sets Used
• Wafer test data (Lot 47-52)
• Historical yield Q3-Q4 2025
• Process parameter logs
• Defect classification DB
What the Agent Did
1. Analyzed spatial patterns (6 lots)
2. Identified threshold excursion
3. Correlated defects with parameters
4. Generated root cause (94% confidence)
Why It Matters
• Prevented $2.3M yield loss
• Reduced analysis time 3 weeks → 4 hours
Learning Applied
Matched Q3 2025 pattern: Similar lithography drift failures resolved via recalibration (92% similarity).
Safety & Governance
Compliance and safety across the entire stack
Every insight is fully traceable, from wafer test data to the final recommendation.
Continual Improvement
Human-in-the-loop to continually improve
User feedback on false positives and negatives makes the system more accurate over time.
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 benchmark1.
1 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).