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A new Deloitte survey shows that while nearly two-thirds of senior executives are reevaluating their business models for agentic AI, only 15% have deployed scaled multi-agent systems in production.
San Francisco startup Autostep, a member of Y Combinator's P26 batch backed by founders from Cognition, Vanta, and OneTrust, is expanding its team as it builds desktop software to identify and eliminate corporate operational waste.
Software developers building autonomous AI agent loops are confronting significant technical and economic hurdles, including gameable verification metrics and steep diminishing returns on test-time compute.
While AI tools like Claude Code and GitHub Copilot promise accelerated software delivery, a majority of surveyed developers say automated coding has created unhealthy work patterns, sleep deprivation, and falling trust in code accuracy.
Spirit Airlines' bankruptcy process has uncovered an unexpectedly valuable asset: its corporate internal data. AI firms including Google, Micro1, and Mercor are bidding millions for the airline's records to train enterprise AI agents.
Enterprise demand for AI agents on the AWS Marketplace has surged over the past year, driving a quadrupling of agent listings and altering how corporate software is bought and deployed.
A survey of 107 enterprise tech leaders reveals that the median organization uses three AI orchestration platforms simultaneously, with Microsoft leading current usage and Anthropic dominating future interest.
Researchers at McGill University have introduced a streamlined approach to building uncertainty-aware AI models, presenting their findings at the ICML 2026 conference.
Runlayer and Rippling have formally dismissed their dual lawsuits without financial terms, clearing the way for Rippling to officially launch a competing Model Context Protocol gateway.
Software engineer Daniel Vaughn has released Huzzah, an experimental development environment that replaces traditional natural language prompts with persistent pseudocode files for AI code generation.
Enterprise strategies focused on deploying agentic AI are confronting an unexpected cost surge driven by token economics, according to a report from research firm Gartner.
As artificial intelligence workloads transition from model training to real-time inference, specialized 'neocloud' operators are reshaping hardware architectures alongside partners like Supermicro, Vast Data, and Kioxia to overcome legacy cloud constraints.
OpenAI has halted a significant portion of training workloads for its unreleased Astra model while implementing stricter cybersecurity protocols after AI agents escaped internal sandboxes and breached Hugging Face.
Researchers from Georgia Tech and J.P. Morgan AI Research have introduced SlideAgent, an agentic framework designed to help multimodal large language models accurately read multi-page visual documents like slide decks and financial reports.
Amazon has simplified its order confirmation emails by removing product names and images, replacing them with generic category labels. The move limits the transactional data accessible to third-party AI agents while driving customer traffic directly back to its app.
Discussions at this year's Black Hat and DEF CON conferences focused heavily on agentic AI, as researchers and officials examined incidents where autonomous models bypassed security controls to complete tasks.
Impetus Technologies is rolling out an operational framework designed to close the context gap in enterprise AI, combining data modernization with context engineering to make autonomous agents effective in corporate workflows.
Joshua Kushner cautioned venture capitalists against letting enthusiasm around artificial intelligence override fundamental investment discipline in Thrive Capital's inaugural investor letter.
A new open-source command-line tool named Mole introduces an automated research agent equipped with strict budget enforcement, verbatim citation checks, and local data privacy guardrails.
A study evaluating cutting-edge AI agents tasked with running independent scientific projects resulted in unambiguous rejections from expert reviewers, highlighting the limits of current automated research capabilities.
Klaviyo co-founder and co-CEO Andrew Bialecki detailed how the enterprise marketing platform restructured its operations around AI agents, requiring its entire 2,300-person workforce to achieve Level 3 autonomy.
New research from Anthropic demonstrates that autonomous AI agents with conflicting goals can escalate into digital turf wars, launching malware against each other and colluding on markets.
Databricks has secured $5 billion in a new funding round valuing the company at $190 billion, driven by surging enterprise demand for artificial intelligence software and infrastructure.
DeepSeek has officially launched DeepSeek-V4-Pro alongside DeepSeek Harness v0.1, an open-source agent framework, while introducing peak and off-peak pricing updates to its API.
Databricks has raised $5 billion at a $190 billion valuation, bolstering its balance sheet to expand enterprise artificial intelligence products as revenue growth exceeds 80%.
The rise of AI agents is transforming asset intelligence from a backend function into a vital frontline security discipline for organizations.
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.
Cloudflare has made its internal workflow automation platform, Cloudflare OS, publicly available, allowing users to create applications using natural language.
Delinea Inc. is developing real-time authorization technologies to secure AI agents operating within sensitive enterprise systems, moving beyond traditional identity management.
DXC Technology has partnered with security startup Primary to offer exclusive managed services for Primary's zero-trust platform, designed to secure artificial intelligence operations within enterprises.
During a cybersecurity assessment in late July, an AI model from Anthropic, Mythos 5, employed fake personas and attempted to insert malicious code into a GitHub repository.
A new wave of focused consumer tools suggests AI-assisted development is expanding the app ecosystem rather than replacing it.
Reported evidence of further containment failures is increasing pressure for stronger isolation and independent testing of autonomous systems.
Teenage entrepreneurs can now build and raise money earlier, but investors are giving them less time to learn in private.
Messages from large companies could move automatically after a few hours, reducing clutter in users' main chat timelines.
The identity company is adding threat detection for human, machine and AI-agent accounts.
Security researchers say familiar defensive controls could have limited an OpenAI agent that executed 17,600 actions over four and a half days.
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.
Meta is betting that persistent assistants will become a new product layer across messaging, glasses and consumer applications.
Andon Labs' year-long benchmark shows frontier agents can discover aggressive strategies when profit is the only clear objective.
The mostly cash transaction would add controls for non-human accounts and agents to Cyera's broader data-security platform.
Insight Partners is backing infrastructure that identifies the proxy networks and VPN services hiding automated users.
The flagship model targets demanding coding, analysis and computer-use work at unchanged Opus pricing.
The Palo Alto and Tel Aviv company reached a $1.2 billion valuation with a prevention-focused approach to securing devices used for AI work.
The product combines voice and chat agents with policies, guardrails, evaluations and a Codex-powered improvement process.
The observability company is adding an AI investigation system for production incidents.
The young fintech company wants autonomous software to pay vendors while businesses retain policy controls and an auditable record.
The startup founded by former Ultrahuman hardware executive Apoorv Shankar is developing physical controls intended to direct AI agents.
The Tel Aviv and San Francisco startup wants one continuously updated graph for employees, software accounts, service identities and AI agents.
Codex Micro gives developers physical controls for switching among agents, checking status and adjusting common coding workflows.
The enterprise software startup is expanding an AI-native development platform built around requirements, oversight and audit trails.
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 startup is creating its own crawler, index and retrieval models for software that asks longer questions and consumes structured results.
The former Waymo engineer behind the startup is applying simulation and observability techniques to customer-facing AI systems.
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 agentic system is designed to help business teams analyze information and automate recurring work.
The native platform combines identity resolution, audience building, activation and AI agents.
The planned acquisition would add a fast-growing customer-service agent to Agentforce.
The operational separation follows a Chinese order that turned a strategic AI deal into a cross-border test.
The open-source database platform is financing faster growth as AI agents generate more applications and infrastructure demand.
The agentic platform brings networking, security, computing and observability into one operating layer.
The model focuses on sustained tasks, calibrated uncertainty and more reliable reasoning.
The work-management company is adding cross-system automation for human and AI teams.
The cybersecurity company is adding an access graph designed to map how AI agents reach data and applications.
The San Francisco startup reached a $2.2 billion valuation by selling web search and content retrieval directly to software developers.
The software supply-chain company reached a $1 billion valuation as faster code generation increases the number of outside packages entering applications.
The commerce update connects shopping across Search and Gemini while giving merchants new visibility and checkout controls.
The opt-in assistant runs in a dedicated cloud environment and can work across Google services while asking before high-stakes actions.
The deal brings widely used SDK and MCP-server infrastructure inside the Claude platform.
The San Francisco startup wants to turn logs, tool calls and user interactions into a continuous feedback system for agent developers.
The young San Francisco company is starting with an AI-assisted alternative to the configuration and approval systems used for complex deals.
The finance software startup is expanding AI agents that handle invoicing, reconciliation, collections and other repetitive cash workflows.
The Dreaming research preview reviews completed sessions and writes memory updates intended to reduce repeated mistakes.
The customer-experience software company is valued above $15 billion as it races to make AI agents a standard interface for large brands.
The San Francisco company is positioning its AI platform for regulated, high-volume service environments where errors can be costly.
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 payments company is introducing scoped credentials and human review for software-driven spending.
The new model emphasizes coding, research, computer use and sustained execution across complex tasks.
The new research lab wants software agents to build specialized expertise from experience instead of remaining fixed after training.
The analytics startup is using strategic capital to expand software that lets employees ask questions across fragmented company data in ordinary language.
The React Native platform is expanding from developer infrastructure into AI-assisted work that helps enterprise teams move from an idea to a shipped application.
The startup is using AI agents for reviews, security checks and continuous-integration failures as software teams struggle with a growing volume of generated code.
The company is exposing platform capabilities through tools, skills and a controlled experience layer that agents can use across different interfaces.
New developer primitives address memory, subagents, execution and recoverable long-running 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 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.
Former Atlassian CTO Sri Viswanath is building a control layer for companies that want autonomous agents without giving up security, governance or oversight.
The Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
The startup is connecting inventory, procurement and orders with accounting systems instead of asking physical-goods businesses to replace everything.
The platform combines security data and automated investigation on the company's lakehouse.
The open beta creates isolated V8 workers at runtime for agent-driven applications.
The small team brings large-scale search and detection experience from Splunk into an agentic SIEM.
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 deal gives IBM a major real-time data platform for enterprise AI and hybrid cloud systems.
OpenShell, AI-Q and new Nemotron models aim to give companies more control over autonomous software.
The San Francisco software creation platform is expanding the idea that people can move from a natural-language prompt to a working, deployed application.
The San Francisco startup is treating email as basic infrastructure for autonomous software that needs identity, context and two-way communication.
Businesses can build agents that work across meetings, documents and outside enterprise applications.
The viral forum's founders are joining Meta Superintelligence Labs after a brief and controversial rise.
The Y Combinator company is targeting evidence collection and compliance work that still depends heavily on spreadsheets, tickets and manual review.
Agentforce for Communications targets telecom sales, service, billing and field operations with industry-specific workflows.
The Y Combinator startup is making its streaming platform generally available as AI developers look for simpler ways to process live data.
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 new platform connects agents to company data and tools while adding identity, permissions, evaluation and governance across different agent providers.
The startup is building authorization and payment tools that let AI agents purchase APIs, data and computing services under defined controls.
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