Ellis AI Raises $10 Million to Modernize Private Credit Operations
Cadre co-founder Ryan Williams is building agents that connect documents, spreadsheets and accounting systems without replacing human judgment.
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Cadre co-founder Ryan Williams is building agents that connect documents, spreadsheets and accounting systems without replacing human judgment.
The startup is applying automated document review to the permitting and regulatory work behind data centers and other large developments.
The company is building managed tools for service providers that protect customers facing more sophisticated AI-enabled threats.
The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
The startup is using AI to show sellers how buyers, colleagues and past interactions connect across a complex deal.
The startup lets users schedule workflows and assign agents to tasks based on open tabs rather than targeting occasional consumer bookings.
The platform analyzes calls, messages and CRM outcomes to turn effective human techniques into reusable sales and support playbooks.
Insight Partners is backing infrastructure that identifies the proxy networks and VPN services hiding automated users.
The chipmaker's strategic partnership with Ilya Sutskever's research lab couples new capital with access to Vera Rubin computing systems.
The San Francisco startup turns television, radio, podcasts and livestreams into searchable signals for companies that need faster narrative tracking.
The financing will support World ID infrastructure, but the transaction is a crypto-token sale rather than a conventional venture equity round.
The startup founded by former Ultrahuman hardware executive Apoorv Shankar is developing physical controls intended to direct AI agents.
The Kubernetes management company added Goldman Sachs and strategic investors as businesses move AI systems from pilots into production.
The molecular design startup reached a $3.8 billion valuation while expanding partnerships with major drugmakers.
The company behind a widely used local AI tool is adding resources for enterprise adoption while keeping its open-source distribution engine.
The Palo Alto company is developing robotic locations that dispense prescriptions with remote pharmacist oversight and round-the-clock access.
The enterprise software startup is expanding an AI-native development platform built around requirements, oversight and audit trails.
The profitable software company plans to expand tools that help banks and governments investigate financial crime and third-party risk.
The healthcare startup is expanding AI agents from phone scheduling into a broader operating system for the patient journey.
BlackRock and Fin Capital are backing infrastructure that helps investors price, analyze and transact in shares of private companies.
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 former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
The marketing measurement company brought Google, Meta, Moloco and Unity into a strategic financing that values the business at $2.7 billion.
The Stanford-founded startup plans to ship a wellness wristband that infers hormone patterns without blood draws while it pursues clinical validation.
The agentic workspace company added $100 million and appointed a chief revenue officer as it pursues larger business customers.
The Berkeley company will accelerate work on fault-tolerant machines while pursuing additional federal support for U.S. quantum infrastructure.
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 Oakland company is building software to manage applications, participants, payments and reporting for programs serving communities.
The maker of Devin says enterprise usage is climbing as software teams give cloud agents a larger share of development work.
The startup is building a network that records first-person human activity, bringing privacy, consent and worker pay into the robotics data race.
Brett Adcock's new lab reached a $6 billion post-money valuation before releasing its first products to the public.
The San Francisco startup reached a $2.2 billion valuation by selling web search and content retrieval directly to software developers.
The business-banking technology company is growing alongside a new wave of AI startups while pursuing approval for a national bank.
The Mountain View healthcare technology company is expanding AI systems for revenue, clinical documentation and practice operations.
Richard Socher's new laboratory is pursuing AI systems that can improve their own research process, backed at a reported $4.65 billion valuation.
The vertical software company is connecting agency data with AI workflows for policy checks, proposals and other document-heavy tasks.
The San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
The San Francisco startup is trying to replace disconnected sales tools with a system that carries context from prospecting through a closed deal.
The full-stack insurer is using AI across underwriting, policy administration and claims as it expands into additional commercial markets.
The San Francisco startup wants to organize fragmented research and manufacturing data across semiconductors, batteries and advanced materials.
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 company reached a $2 billion valuation as it expands tools that help automated systems search, retrieve and organize online information.
The startup is training a foundation model called Fury to control unmanned vehicles across changing military environments.
The San Francisco company reached a $1.5 billion valuation by combining chat, spreadsheets and code with a governed layer for company data.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The logistics technology company is broadening its platform from transportation payments into operational and financial decisions across the supply chain.
The analytics startup is using strategic capital to expand software that lets employees ask questions across fragmented company data in ordinary language.
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 Barcelona and San Francisco company is building a governed graph that lets employees, software and agents work from the same organizational knowledge.
The San Mateo startup is teaching software to connect drawings, specifications and other building documents before missing details become costly field problems.
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 Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
The startup is building an AI memory that reads on-screen text, prepares meeting notes and retrieves information from a user's daily work.
The startup combines AI agents with human media experts to turn sales conversations and customer data into targeted campaigns.
The startup wants employees to direct business software through natural language while agents work across data and applications.
The Mountain View robotics company reached a $1.15 billion valuation with a plan to begin real household deployments in the fall.
The startup formerly known as mcp-use is turning an open-source toolkit into a managed platform for deploying the connectors used by AI applications.
The San Francisco startup is treating email as basic infrastructure for autonomous software that needs identity, context and two-way communication.
The San Jose startup is developing agentic cybersecurity software meant to connect defenses across corporate networks and operational technology.
The brain-computer interface company is preparing its PRIMA vision-restoration system for commercialization while funding a broader clinical pipeline.
The semiconductor startup is moving its co-packaged optics technology toward volume production as data centers demand faster, more efficient connections.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
The Palo Alto AI infrastructure company will use the capital to expand its SN50 chip and SambaCloud platform as demand grows for alternatives in inference computing.
The Series C extension values the developer platform at $1.5 billion as more teams need persistent infrastructure for applications and agents.
The Stanford-rooted startup wants digital populations to help organizations test decisions before they affect customers, workers or markets.
The company is applying foundation-model techniques to tables and relational data, an area where text-focused AI systems often struggle.