A research company
for the third era of software.
Emergent Technologies exists to make agentic AI dependable enough for the institutions that run the world. We are a research and development lab building enterprise-grade solutions and integrations with agentic AI.
Software is being rewritten.
Software 1.0 was code humans wrote. Software 2.0 was behavior models learned. Software 3.0 is software that reasons, plans, and acts, and its native unit is the agent.
This is the largest shift in computing in a generation, and the enterprise is not ready for it. The gap between an agent that impresses in a demo and one a regulated, mission-critical organization can actually run is enormous: reliability, governance, evaluation, security, integration.
Emergent is the research company closing that gap, building The Emergence Layer so the institutions that run the world can put agentic AI to work without betting the business on it.
For fifty years, software was explicit logic, lines of code written by hand to tell a deterministic machine exactly what to do.
Neural networks replaced hand-written logic with learned parameters. We stopped programming the behavior and started training it.
Software 3.0: natural language is the programming surface and the agent is the unit of software. Agent-native applications don't just call a model. They reason, plan, and act autonomously across enterprise systems. The opportunity is enormous. So is the gap to production.
The standards we hold ourselves to.
Reliability is the product
An agent that works in a demo and fails in production has negative value. We optimize for the systems enterprises can depend on, not the ones that impress in a keynote.
Autonomy demands accountability
Every capability we ship is observable, auditable, and reversible. We do not believe in autonomy that cannot be explained or undone.
Research is not optional
The hard problems of the agentic era (verification, evaluation, oversight) are unsolved. We treat them as science, and we publish what we learn.
Build on what enterprises run
We meet institutions where they are: their clouds, their data, their identity, their compliance regimes. Integration is a first-class engineering problem.
Earn trust before scale
We would rather be the lab a Fortune 500 trusts with its most important work than the one with the loudest launch. Trust compounds; hype decays.
A multidisciplinary research organization.
Emergent brings together researchers and engineers from formal verification, distributed systems, programming languages, machine-learning evaluation, interpretability, and enterprise security. We are assembling a team with the depth to treat the open problems of agentic AI as science, and the engineering discipline to put the results into production.
Leadership
Founder & Chief Executive
Announcement forthcoming
Chief Scientist
Announcement forthcoming
Head of Engineering
Announcement forthcoming
Head of Research
Announcement forthcoming
Scientific advisory board
Scientific Advisor
Announcement forthcoming
Scientific Advisor
Announcement forthcoming
Scientific Advisor
Announcement forthcoming
Accountability that scales with capability.
Building infrastructure for autonomous systems is a responsibility. Our governance structure is designed so that accountability scales with the capability we ship.
Responsible deployment
We deploy autonomy that is observable and reversible, with human oversight at the points where it most reduces risk.
Customer data sovereignty
Customer data is never used to train our models. Deployments support single-tenant isolation and customer-controlled infrastructure.
Independent oversight
A scientific advisory board provides external perspective on research direction, safety, and the standards we hold our systems to.
Transparent research
We publish our technical findings, failure modes included, so the field can build on them.
We also work directly with enterprise teams.
Alongside the platform, we take on a limited number of advisory and consulting engagements, working directly with enterprise and institutional teams to design, evaluate, and deploy agent-native systems. Engagements are led by the same researchers and engineers building the Emergence Layer, which is why consulting gets one day of our week and in-house development gets the rest. Those days are currently committed; new openings go to the waitlist in order.
Architecture & readiness review
An independent assessment of an agentic initiative before it ships: reliability posture, failure modes, evaluation strategy, and the governance controls a regulated organization will be asked for.
Forward-deployed delivery
Our engineers work beside your team to take an agent-native system from prototype to production, durable execution, contracts, integration, and observability wired into the stack you already run.
Standards & governance advisory
Guidance for leadership and technical teams setting internal policy for autonomous systems: what to require, what to measure, and how to keep autonomy observable and reversible.
One day a week. Fully committed. Waitlist open for the next openings.
Join the research team.
We are assembling a team with the depth to treat agentic AI as science and the discipline to put the results into production.
Member of Technical Staff, Agentic Reliability
Research · Remote (US)
Research Engineer, Durable Execution
Runtime & Systems · Remote (US)
Research Scientist, Evaluation
Research · Remote (US)
Software Engineer, Integration Fabric
Engineering · Remote (US)
Research Scientist, Alignment & Governance
Research · Remote (US)
Forward Deployed Engineer, Enterprise
Field · Remote (US) / On-site
Don’t see your role? Tell us how you’d contribute.
The work that can’t fail deserves infrastructure that won’t.
Talk with our team about deploying reliable, governed agent-native systems on the Emergence Layer.