Salesforce AI Research Launches AI Foundry to Accelerate System-Level Enterprise AI
Salesforce AI Research has
announced AI Foundry, an initiative focused on developing transformative AI
innovation for the enterprise. AI Foundry brings together AI research,
strategic customers, and academic partners to develop, test, and validate new
AI capabilities, designed to move from foundational research to product
innovation faster than ever before.
For over a decade, AI progress meant better models - bigger,
faster, more capable. Salesforce AI Research contributed to many of those
advances, from predictive AI that forecasts customer behaviour, leveraging
models such as Moirai, to generative AI for productivity, like Agentforce for
Developers, and finally to agentic AI that takes action on behalf of users.
But as large language models mature, the gap between what a
model can do in isolation and how a system is expected to perform in production
has become a central challenge for enterprise adoption.
"The problems that matter most for businesses don't live
at the model level anymore," said Silvio Savarese, Chief Scientist,
Salesforce. "They live at the system level, where components work together
to deliver accuracy, consistency and reliability at scale. AI Foundry is the
engine we've built to make that a reality."
AI Foundry is focused on
strategic areas where Salesforce AI Research sees the greatest opportunity for
enterprise impact:
- Simulation Environments: Agents that learn from experience
Enterprise AI agents need to be tested against realistic
business conditions before they reach production. AI Foundry has already
developed eVerse, a simulation environment that exposes agents to thousands of
edge cases, handoffs and judgment calls, demonstrating how it is able to
increase both capability and consistency in enterprise use cases. Recently,
eVerse was used to stress-test Agentforce Voice across thousands of simulated
conversations and to pilot UCSF Health's contact centre billing agents.
- Ambient Intelligence: Agents that disappear into the environment
Ambient intelligence is context-aware, proactive and timely.
It understands the full situation, anticipates needs before they emerge, and
surfaces just-in-time insights. AI Foundry is developing capabilities that
embed this intelligence directly into enterprise workflows, with a deliberate
focus on human-AI interaction patterns. The goal is AI that's always on but
never overwhelming, helpful without creating information overload.
- Agent-to-Agent Ecosystems: Agents that interact on behalf of companies
across organisational boundaries
AI Foundry has developed protocols, such as agent cards, and
is continuing to invest in building an enterprise multi-agent semantic layer,
with standardised protocols, guardrails, decision logging and coordinated escalation.
Working with Salesforce's legal counsel, as well as with the Office of Ethical
Use of Technology, our research team is defining the legal frameworks required
for autonomous agent negotiation.
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