Latest news with #Datadog
Int'l Business Times
2 days ago
- Business
- Int'l Business Times
4 Modern IT Startups on the Rise in 2025
Several sectors are seeing a surge in promising startups in 2025, including AI, healthcare, fintech, and sustainable energy. In the world of software, we're seeing coding copilots like Cursor and trends like vibe coding take off and increase code velocity by upwards of 70%, according to the latest DORA report. So what does this mean for modern engineering teams that are responsible for the uptime and performance of these AI-driven applications? For managing and maintaining their costs? AI is moving at speeds no one could have anticipated, leaving the platform and engineering teams on the reactive. Below, we highlight 4 startups that are growing fast, improving reliability, providing AI guardrails, and keeping costs in check: Gremlin Gremlin We anticipate 2025 to be a big year for Gremlin. They burst onto the scene in late 2017, pioneering the cutting-edge discipline of Chaos Engineering, which involves running attacks and experiments on your own online systems in order to identify the weaknesses. As a practice, Chaos Engineering was embraced internally at places like Netflix and Amazon, and so it's not a surprise that Gremlin CEO and Founder Kolton Andrus is an alumnus from both of these companies. Being early to market, Gremlin decided to hyper-focus on product over the past few years, building out world-class enterprise features that enable modern teams to get the most out of their proactive reliability efforts. They've built out reliability scoring, intelligent health checks, dependency discovery, and executive reporting in order to ensure enterprises can run experiments safely and validate their efforts. With AI on the rise and off the leash, it's essential that modern engineering teams have the tools to safely run experiments and ensure that AI-driven development doesn't mean a sacrifice in reliability and performance. Finout Finout Finout has quickly become a preferred financial operations management solution for modern teams looking to track and optimize the costs of their spending. The Finout platform consolidates all of your cloud expenses across the major cloud providers and 3rd party SaaS services into one, centralized dashboard. Whether your company runs on AWS or Azure, whether it uses Datadog or Snowflake, the Finout platform offers native integrations to quickly consolidate and then visualize your spending data, and then analyze it with their unique virtual tagging. Finout is also the only solution on this list that does not charge users for their cost optimization service. This means that any money saved on AWS, generated by Finout's solution, is money that stays with the customer. Causely Causely Causely is a new player on the observability scene. The main problem their platform addresses is that modern teams are drowning in too many alerts and too much data coming from multiple observability solutions across open-source and 3rd party vendors. Their causal reasoning platform automatically pinpoints root causes in the endless sea of observability data, helping engineers avoid unnecessary manual effort. The company recently announced support for Grafana, so that engineers can instantly see the "why" behind performance issues in the context of their services, significantly cutting resolution time when there's an alert that needs to be addressed. Causely also plugs into Grafana Alertmanager, enriching existing alerts with real-time, continuously-updated root-cause intelligence. This AI-powered capability goes beyond sending alerts when something is wrong, getting deeper into where the problem originated and what to do next within the incident response workflow. The company has teased a future that removes humans from the loop and involves more automation when it comes to IT management. It's promising to see startups on the operations side coming up with creative and efficient solutions that keep pace with the pace of AI-driven development. Espresso AI launched in the summer of last year with $11Million in funding and a straightforward message: users can save up to 70% on their Snowflake bill with some help from AI. The CEO, Ben Lerner, worked on Google DeepMind, which is made up of scientists, engineers, ethicists, and more working to build the next generation of AI systems safely and responsibly. Their solution leverages advanced language models (LLMs) and machine learning algorithms to optimize code and reduce cloud compute costs automatically. According to the company, Espresso AI is like Kubernetes for Snowflake, where they can intelligently route queries across warehouses to increase utilization and cut costs. "Snowflake alone has $2 billion in annual revenue. If you look across data warehousing broadly, it's certainly hundreds of millions of dollars in revenue for us, and billions in potential savings for customers," said Lerner when the company launched in 2024. The software vendors that perform the best in this market are the ones that avoid selling hype and provide real value for their customers. In a sea of software, it can be hard for businesses to know what solutions to leverage and how to keep up. We believe these are four solutions worth considering seriously.
Yahoo
4 days ago
- Business
- Yahoo
BofA Raises Datadog (DDOG) Price Target, Maintains Buy Rating
Datadog, Inc. (NASDAQ:DDOG) is one of . Bank of America analyst Koji Ikeda has raised the firm's price target on Datadog, Inc. (NASDAQ:DDOG) to $150 from $138 while maintaining a Buy rating on the shares. The upgrade reflects growing confidence in Datadog's long-term growth prospects, following encouraging insights from the company's recent customer event and survey data. A close-up of a laptop with a software engineer coding on the monitor. Ikeda cited strong feedback from Datadog's annual DASH conference, where enterprise adoption trends and product momentum were evident. The analyst noted that sentiment among customers remains positive, pointing to continued investment in observability and cloud infrastructure monitoring tools. These insights align with results from Bank of America's proprietary Datadog survey, which highlighted a stable demand environment and increasing customer reliance on the platform's expanded capabilities. According to Ikeda, Datadog remains one of the most well-positioned vendors in the observability space, supported by durable top-line growth and strong free cash flow performance. He believes the company is on track to sustain more than 20% annual revenue growth and 20%-plus free cash flow margins over the long term, underpinned by its broad product portfolio and expanding enterprise footprint. With the increased price target, Bank of America reinforces Datadog, Inc. (NASDAQ:DDOG) as a 'top pick' for the second half of 2025. The firm views Datadog's continued innovation and customer traction as key drivers of upside in a competitive software landscape. While we acknowledge the potential of DDOG to grow, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and have limited downside risk. If you are looking for an AI stock that is more promising than DDOG and that has 100x upside potential, check out our report about this cheapest AI NEXT: 10 Best Small Cap Tech Stocks With Biggest Upside Potential and 7 Most Popular AI Penny Stocks Under $5 To Avoid. Disclosure: None. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Yahoo
5 days ago
- Business
- Yahoo
At TechCrunch All Stage, Jahanvi Sardana shares how top startups reshape markets
TechCrunch All Stage — the ultimate founder summit — is shaping up to be a powerhouse event where 1,200 founders and VCs across all stages will come together to forge meaningful connections and gain practical insights they can immediately apply to scale their startups. Join us on July 15 at SoWa Power Station in Boston and be part of the conversation with scaling experts. And now is the best time to register to attend. For a limited time, we're bringing Investor Passes to just $250 and Founder Passes to just $155, both more than 60% off their regular price. SAnd those discounts deepen when you register for a group of four or more. Act now before the cost of access to founders and VCs from Boston and beyond jumps back up! Adding even more value to this already-packed agenda, we're excited to announce that Jahanvi Sardana, partner at Index Ventures, has joined the breakout session lineup. Sardana will dive into the critical elements of assessing total addressable market (TAM), revealing how the best startups don't just size markets — they create them. Using case studies from high-growth companies such as Datadog, Adyen, Wiz, Shopify, and Airbnb, she will explore how these businesses identified emerging trends, eliminated friction, and expanded their TAM beyond initial projections. This session is essential for founders aiming to build companies that will shape the future of their industries. This is your opportunity to get direct answers from Jahanvi on scaling challenges and learn what it truly takes to propel your business forward. As a B2B investor, Jahanvi Sardana specializes in cybersecurity, enterprise software, and fintech, investing across seed to pre-IPO stages. She thrives on partnering with founders who embody grit — the secret ingredient that sets high performers apart. It's the perfect mix of passion, persistence, and stamina that turns visionary ideas into reality. Prior to Index Ventures, Jahanvi was at Stripes, a growth equity firm in New York, where she focused on cybersecurity, fintech, and SaaS investments. Her career began in private equity at Aquiline Capital Partners. Don't miss this session at TechCrunch All Stage — plus more led by industry leaders like Charles Hudson, founder and managing partner at Precursor Ventures; Brandon Krieg, co-CEO and co-founder at Stash; and many others. This is your opportunity to ask scaling questions, build game-changing connections, and, for VCs, discover the next big investment. Register now and save more than $400 on an Investor Pass and $300 on a Founder Pass! Elevate your brand by showcasing your innovation to 1,200 founders and investors seeking real solutions to fuel their businesses. Limited space available. Learn more about the benefits of exhibiting and secure your table here. Or, explore sponsorship opportunities and activations at TC All Stage. Get in touch with our team by filling out this form. Subscribe to the TechCrunch Events newsletter and be the first to know about special deals and event announcements. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Techday NZ
6 days ago
- Business
- Techday NZ
Salesforce unveils Agentforce 3 to accelerate enterprise AI adoption
Salesforce has released Agentforce 3, an upgrade to its enterprise AI agent platform designed to address key challenges faced by organisations scaling artificial intelligence implementation. The latest version introduces features that enhance visibility and control for enterprise users, moving AI agents from experimental use to full-scale deployment. More than 100 prebuilt actions, expanded interoperability options, and a centralised suite of tools for managing hybrid workforces are among the major enhancements. Agentforce Command Centre Agentforce 3 introduces the Command Centre, marketed as the first real-time observability suite specifically for hybrid workforces. It provides business leaders with a unified interface to monitor performance metrics across both AI agents and human team members. This monitoring is integrated into business key performance indicators (KPIs), aimed at supporting data-driven management and optimisation of workflow processes. The Command Centre includes dashboards detailing agent adoption, feedback, success rates, costs, and specific topic performance, enabling teams to analyse usage trends and identify areas for improvement. The system records all agent activity in a session-tracing data model leveraging Data Cloud and is compatible with monitoring tools such as Datadog, Splunk, and Wayfound through the OpenTelemetry standard. Teams and supervisors can also receive live analytics on latency, escalation frequency, and error rates with real-time alerts for anomalies, enabling prompt interventions to maintain service levels. For contact centres, agent activity can be monitored in real time, permitting quick performance escalations. Interoperability and Prebuilt Integrations Agentforce 3 expands interoperability with native support for open standards like Model Context Protocol (MCP) and Agent-to-Agent Protocol (A2A). The platform also integrates with more than 30 partners, including services such as Stripe, Box, Atlassian, AWS, Cisco, Google Cloud, IBM, Notion, PayPal, Teradata, and WRITER via its expanded AgentExchange. Built-in interoperability is intended to allow AI agents not only to communicate with one another, but with broader enterprise applications, creating a more connected digital workplace. Deployment and Usability The update aims to reduce deployment times, with over 100 new prebuilt industry actions and flexible pricing designed to enable companies to deploy agents within days rather than months. The new architecture underlying Agentforce 3 promises improvements in accuracy, latency, resiliency, and model control, the latter of which addresses the requirements of regulated industries. Agentforce Studio is a central space for building, testing, and optimising agents with the assistance of real-time analytics. It provides tools to simulate agent behaviour at scale and generate topics or test cases using natural language, with the goal of assisting teams in developing and deploying agents more efficiently. Customer Adoption Several organisations have already adopted Agentforce, including New Zealand-based companies such as Fisher & Paykel, Urban Rest, and Farm Focus, which cite benefits including task automation, enhanced customer engagement, and the ability for staff to focus on complex, people-centred work. According to Salesforce, Engine, Grupo Globo, PepsiCo, UChicago Medicine, and 1-800Accountant have reported measurable improvements: Engine reduced its average customer case handling time by 15%, 1-800Accountant autonomously resolved 70% of administrative chat engagements during the peak tax season, and Grupo Globo saw a 22% increase in subscriber retention. Adam Evans, Executive Vice President and General Manager of Salesforce AI, commented on the platform's development trajectory: "With Agentforce, we've unified agents, data, apps, and metadata to create a digital labour platform, helping thousands of companies realise the promise of agentic AI today," said Adam Evans, EVP & GM of Salesforce AI. Evans added: "Over the past several months we've listened deeply to our customers and continued our rapid pace of technology innovation. The result is Agentforce 3, a major leap forward for our platform that brings greater intelligence, higher performance, and more trust and accountability to every Agentforce deployment. Agentforce 3 will redefine how humans and AI agents work together — driving breakthrough levels of productivity, efficiency, and business transformation." Ryan Teeples, Chief Technology Officer at 1-800Accountant, described their experience with the system: "Agentforce autonomously resolved 70% of 1-800Accountant's administrative chat engagements during the peak this past tax season, an incredible lift during one of our busiest periods. But that early success was just the beginning. We've established a strong deployment foundation and weekly are focused on launching new agentic experiences and AI automations through Agentforce's newest capabilities. With a high level of observability, we can see what's working, optimize in real time, and scale support with confidence," said Ryan Teeples, Chief Technology Officer at 1-800Accountant. AI Agent Adoption Trends Salesforce cited a soon-to-be-released Slack Workflow Index showing a 233% increase in AI agent usage in six months, with 8,000 customers signing up for Agentforce deployment during the same period. The platform is presented as a response to enterprise demands for improved governance, tooling, and observability in large-scale AI agent operations. Agentforce 3 is now available globally, with tools and integrations focused on supporting enterprise clients as they expand AI adoption within their organisations.
Yahoo
7 days ago
- Business
- Yahoo
BofA Raises Price Target on Datadog (DDOG) to $150 Amid Strong AI Momentum
Datadog, Inc. (NASDAQ:DDOG) is one of the . On June 18, BofA analyst Koji Ikeda raised the firm's price target on the stock to $150 from $138 and kept a 'Buy' rating on the shares. The firm has termed Datadog as a 'top pick' for the second half of 2025, backed by its strong execution, healthy demand trends, and growing role in AI infrastructure. 'We believe it's positioned to drive durable 20%+ revenue growth and 20%+ FCF margins over the long-term (i.e., Rule-of-40+), which is an attractive investment trait.' -BofA analysts wrote. The analysts further affirmed that they are confident about Datadog based on positive checks at the company's annual customer conference, DASH, along with positive results from the firm's recent Datadog survey. Both suggest strong customer momentum. The firm believes Datadog has the potential to drive 20%-plus revenue growth as well as 20%-plus free cash flow margins over the long term. A financial analyst seated in front of a stacked board of financial statements. '75% of customers we spoke with at DASH are planning to spend more with Datadog.' According to the firm, the company is also benefiting from the AI boom. 'Revenue generated from AI-natives is already notable, with 8.5% of ARR coming from them (+200% y/y, we estimate).' BofA said. As more traditional enterprises launch AI-enabled experiences, the analysts anticipate broader adoption and benefits from the AI boom. Datadog also unveiled multiple new products at DASH, with the firm anticipating that they have the potential to become $100 million+ ARR contributors. These include tools aligned with AI agents, automation, and deep observability into the AI tech stack. 'We believe the strong execution trend will continue driving potential upside to our/Street forecasts.' Datadog, Inc. (NASDAQ:DDOG) offers a cloud-based SaaS platform for monitoring and analytics, specializing in cloud computing and AI-powered cybersecurity products. While we acknowledge the potential of DDOG as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. READ NEXT: and Disclosure: None.
