About Palantir Technologies
Palantir Technologies (NYSE: PLTR) offers a suite of software applications for integrating, visualizing and analyzing the world's information, supporting datasets including structured, unstructured, relational, temporal and geospatial. Palantir's products are built for real analysis with a focus on security, scalability, ease of use and collaboration. The products are broadly deployed in the intelligence, defense, law enforcement and financial communities.
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Research containing Palantir Technologies
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Palantir Technologies in 6 CB Insights research briefs, most recently on Jan 11, 2023.
Expert Collections containing Palantir Technologies
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
Palantir Technologies is included in 3 Expert Collections, including Banking.
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Market Research & Consumer Insights
This collection is comprised of companies using tech to better identify emerging trends and improve product development. It also includes companies helping brands and retailers conduct market research to learn about target shoppers, like their preferences, habits, and behaviors.
Palantir Technologies Patents
Palantir Technologies has filed 1450 patents.
Latest Palantir Technologies News
Jan 24, 2023
‘Apartment REITs can stand out in 2023′: Scotiabank analyst Daily roundup of research and analysis from The Globe and Mail’s market strategist Scott Barlow Scotiabank REIT analyst Mario Saric is bullish on apartment REITs, “We think Apartment REITs can standout in 2023. CAD Apartment REITs are up 10 per cent year-to-date vs. 7 per cent for CAD REITs and 3 per cent for U.S. Apartment REITs, recovering some 2022 weakness (down 22 per cent vs. down 16 per cent vs. down 34 per cent). We think one driver = accelerating market rent growth vs. decelerating U.S. growth. Our 2023E AFFOPU [adjusted funds from operations per unit] = 116 per cent of 2019 (i.e. pre-COVID), the 3rd-best in Canada, while 8-per-cent multiple erosion matches sector avg.. Occupancy and rent exceed pre-COVID for BEI, CAR, and KMP, with IIP and Minto close on occupancy. While cost pressure is topical (sentiment was split; some felt it peaked; others less sure) strong SSREV [same store revenue] could drive the highest rate of change in SSNOI [same store net operating income] growth ex. Office” “Scotiabank likes apartment REITs” – (research excerpt) Twitter *** For aggressive investors, Morgan Stanley has collected 10 trade ideas for the current earnings season. The names for bullish results are Bath and Body Works Inc., CNH Industrial NV, Constellation Energy Corp., EnLink Midstream LLC, Marriott International Inc. and NOV Inv. The short ideas are Bright Horizons Family Solutions Inc., Freshworks Inc., Palantir Technologies Inc. and Snap Inc. Familiarity is likely to lead Canadian traders to Bath and Body Works…, “We see as much as 11 per cent upside to 4Q consensus EPS reports (February 22). Further, while specialty retail stocks have risen 2.0 per cent since the ICR conference, BBWI is down 1.0 per cent, indicating that this potential beat has not been priced in.” … and Snap, “We expect Snap to miss 4Q revenue and guide 1Q below the street (earnings on January 31). We forecast 4Q revenue fell [approximately] 2.0 per cent year over year, with December declining [approximately] 10.0 per cent year over year” “MS: 10 trades for earnings season” – (table) Twitter *** Corporate profit and revenue guidance amidst a global economy slowed by central bank monetary tightening is arguably the most important trend for investors to follow in the coming weeks. BofA Securities global quantitative strategist Nigel Tupper is following the data closely, “Globally, sales forecasts are now falling in tandem with earnings forecasts. The Global Earnings Revision Ratio [number of companies raising guidance versus lowering guidance] had improved in December in response to China reopening optimism but fell in January from 0.82 to 0.64 as earnings optimism faded. This month, the Global Sales Revision Ratio fell below 1.00 (from 1.02 to 0.86) as top-line estimates started falling in tandem with earnings estimates. The Global Sales Revision Ratio was dragged down by large falls in Energy, Materials, and Software and this Ratio is now below 1.00 in eleven of sixteen global sectors in a signal of top-line fragility. The equity market rally this year has not been driven by strength in earnings or sales… As central banks continue to hike to address inflation, the Earnings Revision Ratio remains below 1.00 in all regions, all global styles, and almost all global sectors … Currently, the Earnings Revision ratio is meaningfully above global averages for Aerospace IT Services (3.50), Petroleum Water Transport (2.66), Oil/Gas Well Drilling (2.24) and Health Plan Providers (2.00)” *** Tweet of the Day:
Palantir Technologies Frequently Asked Questions (FAQ)
When was Palantir Technologies founded?
Palantir Technologies was founded in 2003.
Where is Palantir Technologies's headquarters?
Palantir Technologies's headquarters is located at 1555 Blake Street, Denver.
What is Palantir Technologies's latest funding round?
Palantir Technologies's latest funding round is PIPE - II.
How much did Palantir Technologies raise?
Palantir Technologies raised a total of $2.494B.
Who are the investors of Palantir Technologies?
Investors of Palantir Technologies include Third Point, Soros Fund Management, Sompo Japan Nipponkoa, Fujitsu, Founders Fund and 20 more.
Who are Palantir Technologies's competitors?
Competitors of Palantir Technologies include Shield AI, CognitiveScale, paretos, Adarga, Silo AI, Accrete, Mydatamodels, Cognite, Entefy, i2 Group and 41 more.
Compare Palantir Technologies to Competitors
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DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of open-source machine learning algorithms, the DataRobot platform automates, trains, and evaluates predictive models in parallel, delivering more accurate predictions at scale.
Fractal Analytics is a global analytics firm that helps companies gain competitive advantage through deep understanding of consumers and better data-driven decisions. Fractal Analytics delivers insight and impact through advanced analytics, deep learning and visual storytelling.
Dataiku is a late-stage technology firm that develops a centralized data platform that democratizes the use of data science, machine learning, and AI in the enterprise. Dataiku helps businesses move along their data journey from data preparation to analytics at scale to enterprise AI by providing a common ground for data experts and explorers, a repository of best practices, shortcuts to machine learning and AI deployment/management, and a centralized, controlled environment. The firm primarily serves the retail, financial, pharmaceutical, and manufacturing industries. It was founded in 2013 and is based in New York, New York.
Falkonry enables predictive operations for companies seeking to improve the uptime, quality, and throughput of their operations. Falkonry’s machine learning system enables operations teams to discover, explain and predict operational behaviors, without requiring data scientists. The product can be deployed across the enterprise either on-premises, in the cloud or on the edge. It enables customers to save millions of dollars in operating costs and achieve a 5-10 times ROI.
Sight Machine provides manufacturing analytics to make better, faster decisions about their operations. Sight Machine's analytics platform, purpose-built for discrete and process manufacturing, uses artificial intelligence, machine learning, and advanced analytics to help address critical challenges in quality and productivity throughout the enterprise. The platform delivers "AI for the plant floor" and is powered by the Plant Digital Twin, which enables real-time visibility and insights for every machine, line, and plant throughout an enterprise.
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