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Elastic introduces jina-ocr-v1: end-to-end document processing in a single frontier-grade model. September 21, 2026 New OCR model processes complex layouts, tables, handwriting, and math across 100+ languages with frontier-grade accuracy at a fraction of the size and cost SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC) today announced the launch of jina-ocr-v1, a new optical character recognition (OCR) model for end-to-end document processing. At 574M active parameters, it delivers frontier-grade accuracy in a model roughly one tenth the size of the benchmark leader. Jina-ocr-v1 accurately converts complex visual documents into structured, machine-readable text, such as Markdown, in a single pass, making it easy to search, train models, and build agentic applications using the data from scanned documents. While traditional OCR works well on clean text and simple layouts, complex documents with highly visual content often require separate processing steps, such as page segmentation, element classification, text recognition and reassembly. Each step introduces potential for errors that can accumulate through the fragile processing pipeline. When inaccurate or incomplete data is passed downstream, agents can return incomplete facts, and RAG pipelines can return answers that don't accurately reflect the source documents. jina-ocr-v1 handles the entire process end to end in a single model. It uses a mixture-of-experts architecture with 3.4B total parameters and 574M active at inference, running at the speed and cost of a sub-600M model. jina-ocr-v1 also adds FastMTP technology, which improves multi-token prediction to accelerate inference. In a single model, jina-ocr-v1 can: * Work across a broad range of imaged documents: Processes images of varying quality, including scanned pages, photographed documents, slides and label images from source formats such as PDF, PPTX and XLSX. * Preserve document structure: Processes complex layouts and returns structured Markdown that retains headings, sections, lists and reading order. * Extract tables: Converts tables into basic HTML format, suitable for further processing and importing into spreadsheets or other applications. * Recognize handwriting: Reads handwriting, including block text in a wide array of languages, and English cursive. * Read more than 100 languages: Understands a wide array of global languages and scripts, with all major international languages and scripts represented. * Convert mathematical notation: Transforms printed formulas into LaTeX math code for use in documents and scientific applications. At a tenth the size of the olmOCR-bench leader, jina-ocr-v1 scores 83.4 on olmOCR-bench, the highest published score among models with fewer than 600M active parameters. It delivers frontier-grade accuracy on less hardware, outperforming frontier LLMs on character-level accuracy and reading order. "Customers need an easy way to digitize their information more than ever in the age of AI," said Han Xiao, vice president of AI, Elastic. "Traditional OCR pipelines break down with complex layouts, tables, handwriting and other highly visual content. Until now, companies either had to accept those limitations or pay a significant premium to use general-purpose LLMs for ingesting documents. We built jina-ocr-v1 to handle that full range of complexity in a single model, while remaining very efficient at scale." Availability jina-ocr-v1 is available now via the Elastic Inference Service, included with Elastic Cloud, with preconfigured model provisioning and GPU acceleration. Developers can access the model through a preconfigured endpoint without hosting the model or provisioning their own GPUs. * Get started with the Jina API: Access jina-ocr-v1 on a pay-per-token basis through the Jina API. * Deploy jina-ocr-v1 on-premises: Run jina-ocr-v1 locally or on-premises using pre-built containers with commercial licensing from Elastic, or access the model through Hugging Face under CC BY-NC 4.0 for academic and noncommercial use. Additional Materials About Elastic Elastic (NYSE: ESTC) integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elasticsearch, which is the foundation for its search, observability, and security solutions, is used by thousands of companies, including more than 75% of the Fortune 100. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.

Elastic's top executives just cashed out $29 million in a week. Should You be worried? Last updated Sep 18, 2026 Key takeaways. * Elastic posted a GAAP operating margin of -0.61% in fiscal Q1 2027, its second-best quarter in the past two years, even while absorbing roughly $20 million of restructuring charges tied to June's 7% workforce reduction. * Stock-based compensation fell for a second straight quarter, down 4.3% from January 2026's peak of $78.1 million to $74.8 million, the first sustained pullback after five quarters of steady increases. * Diluted weighted-average share count has dropped for three consecutive quarters, from 106.6 million to 104.6 million, as roughly $420 million in cumulative buybacks since October 2025 now outpace new share issuance from equity compensation. * Management is guiding for positive GAAP operating margin every quarter through fiscal 2027, a claim complicated by Elastic's own recent history: GAAP margin swung from +0.23% to -3.52% in the two quarters immediately before this one. * Two senior executives, including CTO Shay Banon, sold a combined $27.2 million of stock in early September at prices roughly 6% to 8% above where shares trade today. Elastic's First-Time Promise, Built on a Volatile Base. Elastic's (ESTC) fiscal first quarter of 2027 looked strong on the metrics investors usually watch first. Revenue reached $478 million, up 15% year over year and an acceleration from 14% constant-currency growth in the prior quarter. Non-GAAP operating margin came in at 16.2%, ahead of guidance. But GAAP results told a different story: operating loss widened to $24 million and the company posted a $17 million net loss, or -$0.16 per share. On the Q1 2027 earnings call, CFO Navam Welihinda made a claim Elastic has not been able to back up on a sustained basis before. "We expect our GAAP operating margin to be positive in the second quarter and for the full year," he said, adding that the company expects "to maintain GAAP operating margin profitability going forward." That promise lands just weeks after CTO Shay Banon disclosed the sale of 284,319 shares for approximately $26.79 million on September 3 and 4, at prices between $92.39 and $95.06, alongside GVP and Chief Accounting Officer Jane Bone's sale of 4,176 shares for $390,768. Elastic shares closed at $87.29 on September 18, meaning both executives sold roughly 6% to 8% above the current price. Insider sales alone do not prove or disprove a thesis, especially without visibility into whether they followed pre-set trading plans, but they raise the stakes on whether management's profitability claim is backed by something durable. The mechanism management is leaning on is straightforward: the workforce reduction announced June 23, cutting headcount by about 7% for $22 million to $25 million in non-recurring charges, was designed to permanently lower the cost base while revenue keeps accelerating. The question is whether the data one quarter in actually supports that, or whether the improvement is just a function of one-time charge timing that will not repeat. The Evidence Behind Elastic's Cost Discipline. Two data series suggest the cost discipline is more than accounting noise. Stock-based compensation rose almost every quarter for two years, from $64.1 million in the quarter ended October 2024 to a peak of $78.1 million in the quarter ended January 2026, a 22% climb. Since that peak, SBC has fallen for two consecutive quarters, to $77.5 million and then $74.8 million in the quarter just reported, a 4.3% pullback. That reversal timing lines up with the headcount reduction taking effect, and at $74.8 million, SBC now equals about 15.6% of Q1 revenue, down from a higher share of a smaller revenue base a year ago. The second series reinforces it. Diluted weighted-average shares outstanding climbed steadily as SBC-driven grants vested, peaking at 106.6 million in the quarter ended October 2025. Since then, share count has fallen for three straight quarters, to 105.3 million and then 104.6 million, nearly back to where it stood two years ago. That decline coincides with Elastic's $500 million buyback program, launched in October 2025, under which the company had deployed roughly $380 million and repurchased 5.2 million shares through the end of fiscal 2026, then spent another $40 million on about 800,000 shares in the quarter just reported. Cumulative repurchases of roughly $420 million are now large enough to outpace new dilution from equity awards, a mechanical but genuine driver of per-share GAAP results rather than a one-quarter illusion. Why the Fourth-Quarter Precedent Still Matters for ESTC Stock. The volatility in Elastic's own numbers is the strongest reason for caution. GAAP operating margin was actually positive once before this data set began improving, hitting +0.23% in the quarter ended January 2026. That gain reversed immediately, falling to -3.52% in the very next quarter, ended April 2026, which was also the softest GAAP print of the past two years alongside a -2.97% result in the same fiscal quarter a year earlier. Elastic's fiscal fourth quarter, which closes its year each April, has now produced the two weakest GAAP margins in this entire eight-quarter window. A promise to sustain positive GAAP margin "going forward" has to survive that specific quarter, not just the easier comparisons against a first quarter that typically carries fewer commission resets and true-up costs. There is a reasonable case that the underlying business is closer to breakeven than the -0.61% headline suggests. Stripping out the approximately $20 million of restructuring charges Elastic said it incurred in the first quarter, an amount equal to roughly 4.2% of revenue, would move GAAP operating margin from -0.61% to an estimated positive 3.6% on a comparable basis, by my own calculation using the disclosed charge and revenue figures. Management also flagged another $2 million to $5 million of restructuring costs still to come this fiscal year, a modest headwind against an otherwise improving trend. The organic improvement looks real. Whether it survives Elastic's own worst-performing quarter, still more than six months away, is unproven. The Claim Is More Credible Than It First Appears, But Not Yet Confirmed. Taken together, the evidence leans in management's favor more than the insider selling and the ugly headline GAAP loss would suggest on their own. Stock-based compensation has declined for two straight quarters for the first time in this data set, the diluted share count has fallen for three straight quarters as buybacks outrun new issuance, and the operating loss this quarter would have likely been a solid GAAP profit without one-time severance costs. That combination points to a real, not merely cosmetic, improvement in Elastic's cost structure following the June restructuring. The unresolved risk is timing. Elastic's own fiscal fourth quarter has been the weak link two years running, and management's guidance does not specify by how much GAAP margin will stay positive, only that it expects to. The next disclosures worth watching are whether SBC and share count keep falling through fiscal Q2 and Q3 as the restructuring fully phases in, and whether the April 2027 quarter breaks the pattern of being the year's softest GAAP print. If it does, Elastic will have delivered something it has never sustained before. If GAAP margin snaps sharply negative again in that quarter, the promise of durable profitability will look more like favorable timing than a structural shift. Should You Invest in Elastic N.V.? The only way to really know is to look at the numbers yourself. TIKR gives you free access to the same institutional-quality financial data that professional analysts use to answer exactly that question. Pull up ESTC stock and you'll see years of historical financials, what Wall Street analysts expect for revenue and earnings in the quarters ahead, how valuation multiples have moved over time, and whether price targets are trending up or down. Looking for New Opportunities? * See what stocks billionaire investors are buying so you can follow the smart money. * Analyze stocks in as little as 5 minutes with TIKR's all-in-one, easy-to-use platform. * The more rocks you overturn... the more opportunities you'll uncover. Search 100K+ global stocks, global top investor holdings, and more with TIKR. Disclaimer: Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or its content team, nor are they recommendations to buy or sell any stocks. TIKR create its content based on TIKR Terminal's investment data and analysts' estimates. Its analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing! Table of Contents * Elastic's First-Time Promise, Built on a Volatile Base * The Evidence Behind Elastic's Cost Discipline * Why the Fourth-Quarter Precedent Still Matters for ESTC Stock * The Claim Is More Credible Than It First Appears, But Not Yet Confirmed * Should You Invest in Elastic N.V.? * Looking for New Opportunities? * Disclaimer: General Investing Earnings Updates Join thousands of investors worldwide who use TIKR to supercharge their investment analysis.

Elastic announces GA of cross-project search on Serverless, enabling teams to query across all linked projects without moving a byte. September 16, 2026 Elastic today announced the general availability of cross-project search (CPS) for Elastic Cloud Serverless, enabling organizations to run a single query across multiple serverless projects. With CPS, customers can search across all regions, project types, and cloud providers, with easy setup, versionless compatibility, and complete security scope. Data is queried in place, eliminating data movement risk and keeping egress costs minimal. It supports all solutions, including Observability, Security, Search, and vector database workloads, giving teams centralized visibility without the operational overhead of centralizing data. Organizations manage data across projects for legitimate reasons: data residency compliance, tenant data isolation, or organizational structure needs. But it can create a painful side effect: no unified visibility. SOC teams jump between regional projects chasing a threat. Site reliability engineers (SREs) can't see production and staging signals in one place. The workaround, centralizing data, means storing and moving the same bytes twice, and risking sovereignty violations. Existing solutions don't help either; some are locked to a single cloud vendor, while others require version coordination and server setup just to run a federated query. CPS truly breaks down data silos across distributed architectures without compromising data isolation, residency, or boundaries that systems rely on. By delivering transparently merged results in a single query, CPS allows teams to analyze cross-departmental security signals side by side or seamlessly correlate production and staging logs, or developing search apps with context from multiple linked projects, all without forcing separate deployments into a single environment. Cross-cluster search (CCS), a similar feature in Elastic Cloud Hosted (ECH), a fully managed cloud service for running the Elastic Stack, is already used by more than 80% of large ECH customers with complex architectures, some managing over 50 remote cluster connections on a single deployment. CPS delivers the same capability on Serverless without the need to understand deployment topology, configure certificates, or per-connection authentication. CPS infrastructure is abstracted by design: three clicks in the Cloud console to link projects, with authentication handled at the org level by Elastic's control plane. That is the entire setup needed, period. Once linked, searches in Discover, ES|QL, dashboards, and alerting rules run across all linked projects automatically, with the Kibana CPS Scope Picker keeping scope firmly under your control. CPS: The Serverless-native approach. Here's how it works: From your project settings, select the projects you want to link. Filters and tags help target the right environments. Once saved, searches in Discover, dashboards, and alerting automatically include data from every linked project. Simple setup: Linked projects data is queried in Discover by default. The CPS scope selector in Kibana lets analysts and engineers switch query scope without changing query syntax - filtered by project tags or just the current one. Administrators set the default per Kibana space. A space used for local incident investigation restricts default scope to a single project; a global operations space defaults to the full linked set. Users can override the default for any individual query or session using the project picker, without touching the space configuration. What's new in general availability? CPS launched in tech preview on April 16, 2026. This GA release ships with meaningful additions. Scale: Support for up to 100 linked projects is included by default. Enterprise teams and MSSPs that link per-client or per-region projects can now operate at the scale their architectures require. Higher limits are available upon request. Serverless project as an origin: At GA, existing projects can link and query across as many as 100 linked projects without requiring migration or recreation. ML and AI capabilities: With CPS, Elastic ML jobs detect anomalies in time-series data unsupervised, and at GA they can query across multiple linked projects in a single job. Application performance monitoring (APM) anomaly detection in Elastic Observability can also span linked projects, giving SRE teams a unified anomaly view. Moreover, Elastic Agent Builder enables AI agents across all solutions to retrieve context from multiple linked serverless projects, establishing CPS as a foundational building block for production agents operating on distributed data. Versionless and cloud-agnostic: Teams aren't locked into a single cloud vendor or forced to coordinate versions across deployments just to do a search. And it works across every solution: Observability, Security, Search, and vector database workloads. * Observability: Application and infrastructure monitoring, alerting, SLOs, and APM anomaly detection work across linked projects enabling flexible data locality and analysis. * Security: CPS powers the Central SOC model: Detection rules run once on a central project and query across every linked project, so SOC teams triage one alert without manually merging data or duplicating alert rules. Entity information and Elastic Defend telemetry from linked projects feed that same central view. * Search: ES|QL queries and Discover sessions span linked projects by default. Across all solutions at GA an AI agent can retrieve context from multiple linked projects in a single query, making CPS a foundational building block for production agents that operate across distributed data. Complete access control: A user's access to data across linked projects is determined by their individual permissions on each project, not by where they're querying from. What that user can see is always complete and consistent with what they are authorized to see. Reduced costs: Because data stays where it is, you pay for the queries you run, not for storing and moving the same bytes twice. Full project routing: It gives teams precise control over which projects a query targets. Using predefined tags such as region, cloud provider, and project alias - or custom tags you define - you can route any query to a specific subset of linked projects. Named expressions and boolean logic (AND, OR, NOT) let you build reusable routing rules for common patterns, such as "all EU projects" or "all MSSP tenant environments except staging." Programmatic CPS access: CPS has introduced a new user role that enables anyone, not just organization owners, to generate Cloud API keys for CPS queries, removing friction for teams building pipelines and applications on CPS. Frequently asked questions. What is CPS in Elastic Cloud Serverless? CPS lets you run a single query across multiple Elastic Cloud Serverless projects from Discover, dashboards, or alerting. Results are merged transparently. Setup takes minutes from your project settings. How is CPS different from CCS? CCS is the equivalent feature in Elastic Cloud Hosted. CCS requires mapping your deployment architecture, managing API keys or certificates per remote connection, and referencing remote cluster names in queries. CPS handles authentication and topology automatically - link projects in the UI, and searches span all of them by default. How much does CPS cost? CPS has two pricing dimensions. Mounted data is charged at $0.009 per GB retained in linked projects per month (pricing varies by project types, region and cloud service provider). Data egress out is charged at $0.05 per GB - the same rate as standard non-CPS egress, tracked on a separate line item so you can see exactly what CPS queries are contributing to your transfer costs. A team ingesting 10 GB per day with 30-day retention and one linked project adds approximately $4.50 per month in mounted data costs, plus egress based on query volume - typically a small fraction of total CPS cost for common single-pane-of-glass usage. Which project types and tiers include CPS? CPS is available on all serverless project types. For Observability and Security projects, the Complete tier is required. Can I control which projects are included in a search? Yes, at both the UI and query level. In Kibana, the project picker lets users switch between all linked projects and just the current one without changing query syntax; administrators set per-space defaults to control the scope for each team or workflow. At the query level, project routing parameters in ES|QL and the search API let you target specific linked projects directly, without going through the UI. Get started. If you are already running Elastic Cloud Serverless, CPS is available in your project settings today. Link your projects, open Discover, and run your first cross-project query. The release and timing of any features or functionality described in this post remain at Elastic's sole discretion. Any features or functionality not currently available may not be delivered on time or at all.