Liner raises $36.1M to take its evidence-first AI search to enterprise customers
THE SO WHAT
AI search is moving from ‘answer engine’ to ‘evidence-first’ workflows, where citations and traceability are the product. If you’re buying or building enterprise search, prioritize systems that expose sources and reasoning—otherwise you’ll be rebuilding trust layers on top at your own expense.
READ THE SOURCE
MORE FROM THE WIRE
Startups & VentureSelf-driving truck startup Gatik raises $200M following PepsiCo deal
Gatik pulling in $200M after landing PepsiCo reinforces that constrained‑route autonomy with a named anchor customer is still fundable, even as AV hype cools. If you’re in logistics, the near‑term automation frontier is middle‑mile and repeatable lanes — start mapping which routes you’d hand to a partner first.
Startups & VentureHivemind raises $17M from M&G as asset managers test tokenisation
M&G putting $17M into Hivemind for tokenisation is a signal that large asset managers want direct exposure to the plumbing, not just ETFs and pilots. If you’re in capital markets, assume tokenised structures will start showing up in mainstream products and back-office workflows, not just experiments.
Startups & VentureAccel-backed Keenable is indexing the web for AI agents
A $26M seed for Keenable to build a web index specifically for AI agents suggests search infra is fragmenting into human-first and agent-first stacks. If you’re betting on agents, start deciding whether you rely on general search APIs or need dedicated indexing tuned to machine consumption and actions.
Elon Musk's former right-hand man at X will give you 30 minutes of business advice for $15,000
High-priced, personality-driven advice is a reminder that founders are still paying for narrative and pattern-matching, not just tactics. If you’re considering this tier of spend, treat it like any other expert engagement—define a narrow question, pre-brief hard, and measure whether it changes a concrete decision.