Babel Street has announced a 2026 pivot toward agentic AI, enabling autonomous systems to run complex intelligence workflows under human oversight.
Babel Street, a Washington-based risk intelligence company, announced on Tuesday a strategic shift toward what it calls “agentic risk intelligence” — a system in which AI agents autonomously execute multi-step investigative workflows while analysts retain oversight of findings and sourcing.
According to the company’s announcement, the platform is designed to allow analysts to assign research tasks directly to AI agents, which then traverse large datasets to extract entities, detect risk patterns, and assemble intelligence reports. The company says every result is returned with citations and source provenance, allowing findings to be audited and verified before use in high-stakes decisions.
“The age of static risk intelligence is over,” said Benji Hutchinson, Babel Street’s chief executive, in the announcement. “We are deploying agentic AI to fundamentally change the speed, depth, and veracity of global intelligence.”
The company also announced plans for what it describes as agent-to-agent interoperability — a capability intended to allow third-party AI systems to query Babel Street’s platform directly, enriching external investigations with the company’s data sources. The first agentic workflows are expected to become generally available this spring, the company said, targeting use cases including vendor vetting, identity investigations and threat monitoring.
Babel Street said the push is a response to what it characterises as a growing gap between the speed of modern threats — including synthetic media and automated disinformation — and the capacity of traditional investigative tools to counter them.
John Larson, the company’s president and chief AI officer, framed the challenge as a data quality problem as much as a technology one. “AI falls short today not because it lacks sophistication, but because it is fuelled by data that lacks context,” he said in the announcement.
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The company did not provide independent performance benchmarks or third-party validation of its claims. The announcement did not specify pricing, availability by region, or the scale of datasets currently accessible through the platform.
Babel Street also announced several recent leadership appointments, including Larson and a new chief revenue officer, Rob Lalumondier. Maura Burns, a former chief operating officer at the CIA, has joined as a strategic adviser, the company said.
