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Tutor Intelligence has secured $75 million in Series B funding led by Andreessen Horowitz, expanding a business model that rents automated pick-and-place robots to manufacturers by the hour.
Naïve has successfully closed a Series A funding round, raising $28.5 million to advance its platform for automating business setup and management via AI agents.
A new venture studio, Inevitable AI Group, has raised $6 million in pre-seed funding to develop and launch numerous AI-native software companies.
The Silicon Valley startup says autonomous software agents can shorten expensive chip-development cycles, with verification emerging as an early target.
The San Francisco company is expanding autonomous teams that handle procurement, supplier coordination, invoices and payments for large enterprises.
The startup lets users schedule workflows and assign agents to tasks based on open tabs rather than targeting occasional consumer bookings.
Insight Partners is backing infrastructure that identifies the proxy networks and VPN services hiding automated users.
The San Francisco startup turns television, radio, podcasts and livestreams into searchable signals for companies that need faster narrative tracking.
The M13-led Series A backs a speech company betting that how a machine sounds decides whether a caller stays on the line.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
The Kubernetes management company added Goldman Sachs and strategic investors as businesses move AI systems from pilots into production.
Accel led the Series A for a company automating the pay applications, lien waivers and job-cost work that still runs on paper and email.
The Palo Alto company is developing robotic locations that dispense prescriptions with remote pharmacist oversight and round-the-clock access.
The robotics startup introduced its first commercial hand and closed a seed round after settling a trade-secret dispute with Tesla.
The AI testing company is moving beyond fixed benchmarks with models that generate changing environments for training and evaluation.
The healthcare startup is expanding AI agents from phone scheduling into a broader operating system for the patient journey.
The San Francisco and Tokyo company is developing low-latency speech models for Japanese, Korean and Chinese applications.
The startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
The Oakland company is expanding technology that structures fragmented patient information for clinical care, research and regulatory evidence.
The company is building software that continually personalizes campaigns, tests changes and adjusts marketing decisions across customer channels.
The Palo Alto startup is using AI to help companies define specialized processors before the expensive physical design and manufacturing stages.
The startup wants agents to own recurring business outcomes across existing applications instead of stopping after a single generated response.
The agentic workspace company added $100 million and appointed a chief revenue officer as it pursues larger business customers.
The San Francisco startup is investing in its own speech models and the infrastructure required to run large volumes of automated business calls.
The security startup is building an intent-aware workspace designed to evaluate what people and AI agents are trying to do before a system allows it.
The startup is building validation software that checks model responses before errors reach users in high-precision workflows.
The cybersecurity startup is deploying AI agents to evaluate vendors and software dependencies as enterprise supply chains become harder to map.
The San Francisco and Tel Aviv company wants security agents to find and help fix software risks throughout the development lifecycle.
The Oakland company is building software to manage applications, participants, payments and reporting for programs serving communities.
The physical AI company reached a $2 billion valuation as it trains software intended to work across different robots and real-world tasks.
The startup is building a network that records first-person human activity, bringing privacy, consent and worker pay into the robotics data race.
The Mountain View healthcare technology company is expanding AI systems for revenue, clinical documentation and practice operations.
The Palo Alto company founded by Rivian CEO RJ Scaringe has now raised more than $1 billion for industrial robots trained in live manufacturing environments.
The vertical software company is connecting agency data with AI workflows for policy checks, proposals and other document-heavy tasks.
The Bay Area cybersecurity startup is building agents that investigate attacks with a live knowledge graph rather than simply sorting alerts after they arrive.
The San Francisco startup is trying to replace disconnected sales tools with a system that carries context from prospecting through a closed deal.
The finance software startup is expanding AI agents that handle invoicing, reconciliation, collections and other repetitive cash workflows.
The full-stack insurer is using AI across underwriting, policy administration and claims as it expands into additional commercial markets.
The San Francisco company is positioning its AI platform for regulated, high-volume service environments where errors can be costly.
The six-person startup is training AI to learn digital tasks from video, with efficiency and safety becoming the key tests for its approach.
The San Francisco company more than doubled its valuation to $2.75 billion as it expanded from moving customer data to helping agents run campaigns.
The startup is beginning with autonomous road rollers that can be retrofitted onto machines already operating at construction sites.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The San Francisco mobility company is preparing pilot networks that place small autonomous vehicles on narrow, reserved lanes.
The a16z-backed startup wants consumer businesses to move from dashboards and recommendations to actions tied to measurable financial results.
The phone-automation startup says contact-center operators invested alongside venture firms after deploying its agents in live customer service work.
The startup is building software intended to let data-center networks adapt automatically to changing AI workloads.
The San Francisco company pairs software agents with growth specialists as brands adjust to search results shaped by traditional engines and AI answers.
The startup is using conversational agents to conduct structured phone interviews and turn long-form responses into research data.
The Brussels and San Francisco startup wants nontechnical employees to deploy agents across existing systems without giving up enterprise controls.
The Rivian spinoff reached a valuation above $1 billion while expanding from small electric vehicles into autonomous delivery systems.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
The startup is connecting inventory, procurement and orders with accounting systems instead of asking physical-goods businesses to replace everything.
The startup combines AI agents with human media experts to turn sales conversations and customer data into targeted campaigns.
The Mountain View robotics company reached a $1.15 billion valuation with a plan to begin real household deployments in the fall.
The San Jose startup is developing agentic cybersecurity software meant to connect defenses across corporate networks and operational technology.
The Y Combinator company is targeting evidence collection and compliance work that still depends heavily on spreadsheets, tickets and manual review.
The startup is selling an operated support function rather than software alone, putting automation performance directly on its own team.
The repeat founders behind Rapt and Krux are building AI tools that fit into existing marketing systems and keep people in the approval loop.
The durable-computing company reached a $5 billion valuation as enterprises look for infrastructure that can keep long-running AI work on track.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The voice platform is expanding through software and telecom partners that can distribute automated front-desk service at scale.
The company founded by former Waymo leaders is moving its self-driving system from supervised job sites toward operator-less heavy equipment.
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