New Reports, Enhance multimedia file extractions, xAI Models

Convert PDFs to images with Extract File Node, dive deep into your flow metrics, expand AI capabilities with xAI, and enjoy smoother deployment and project management. Extract File Node Enhancement Our Extract File node now transforms each PDF page into PNG images—with smarter handling for secure and varied outputs. What’s new: Convert PDF pages directly into PNG images Handle password-protected PDFs seamlessly Format-aware encoding that adapts based on your output type Checkout the docs: https://lamatic.ai/docs/nodes/data/extract-from-file-node Improved Reports Dashboard Your flow insights just got a lot richer. Our revamped Custom Reports dashboard now includes: Date range and flow selectors for focused analysis Manual refresh controls, KPI cards, and clear state indicators (loading, error, or no data) Multiple interactive chart types: pie, bar, line, area, scatter, and treemap Checkout the doc: https://lamatic.ai/docs/reports xAI Model Integration We've added support for xAI model integration, enabling powerful AI-driven capabilities in your flows. Why it matters: Easily embed xAI models into your automations Bring advanced reasoning and contextual intelligence to your workflows Checkout the docs: https://lamatic.ai/integrations/models/xai Additional Improvement Faster Deployment Queue: Process messages concurrently to reduce latency and improve throughput—no changes to your current setup. Enhanced Project Settings: Now accepts default values for project name and description—making deployment setup more streamlined and user-friendly.

Gmail Integration, DeepInfra Model Support & Improved Flow Editor

Automate Gmail in your flows, access hundreds of AI models with DeepInfra, and key improvements to the Flow Editor, integrations, and API responses. Gmail Integration - Agentic <> Email flows With the new Gmail Node, you can now connect Gmail as both a trigger and an action inside Lamatic. Monitor your inbox, send messages all without leaving your flow. Why it’s useful: Trigger – On New Email: Start workflows instantly when new emails arrive Action – Send Email: Compose and send with custom content, recipients, and attachments Action – Create Event Draft: Turn email details into ready-to-schedule calendar events Action – Fetch Email: Pull emails or threads based on advanced search filters Checkout the Gmail Node doc DeepInfra Integration: Access Hundreds of AI Models via One API We’ve added support for DeepInfra, making it easy to deploy and serve AI models at scale. Whether you need open-source or proprietary models, DeepInfra gives you cost-effective, high-performance access through a simple API. Why it’s useful: Access hundreds of AI models in one place Get competitive pricing for model inference Enjoy optimized, high-speed model serving Scale automatically based on demand Integrate with minimal code using SDKs and docs Get started with the docs Additional Improvement GraphQL Response Enhancements: GraphQL responses now automatically include Content-Type: application/json AND support asynchronous webhook handling—complete with configurable Webhook URL, private headers, retry logic, and delay—for more versatile automation. Flow Editor Upgrade: A new minimap (bottom-left) allows pan-and-zoom navigation for quick, intuitive flow editing. Google Drive Multi-Select: You can now use multiple file path patterns (globs) for flexible file selection. Smarter File Handling Across Platforms: Default file-picking patterns for OneDrive, S3, and SharePoint are now tuned to common document types—PDF, DOCX, TXT, PPTX, and MD—for cleaner, more targeted operations.

Lamatic is SOC 2 & GDPR Compliance

We are pleased to announce that the company has officially achieved SOC 2 compliance, reaffirming its ongoing commitment to safeguarding client data, maintaining industry-leading security standards, and building trust at every level. Alongside SOC 2, Lamatic.ai also continues to uphold full GDPR compliance, ensuring the highest levels of data privacy for customers worldwide. This milestone reinforces Lamatic.ai’s position as a trusted provider of cutting edge AI-technology to SaaS product teams and their customers. Compliance, Legal, and other stakeholders can now have the confidence of ongoing third-party validation of Lamatic.ai’s security posture. What is SOC 2 Compliance? System and Organization Controls (SOC) 2 is a recognized industry standard developed by the AICPA (American Institute of Certified Public Accountants) to assess how organizations manage customer data. The framework evaluates companies against the Trust Services Criteria, which include: Security Availability Processing Integrity Confidentiality Achieving SOC 2 compliance means Lamatic.ai has undergone an independent, rigorous audit to validate that its controls meet or exceed these standards. How This Benefits Our Customers This achievement provides clients with: Enhanced Data Protection: Client data is handled with robust, independently validated security controls. Simplified Vendor Approval: SOC 2 compliance accelerates vendor onboarding processes for regulated industries. Operational Trust: Independent audits confirm Lamatic.ai’s systems meet stringent security and privacy requirements. How Lamatic.ai Achieved This: Key Security Milestones Rather than viewing SOC 2 as a one-time requirement, Lamatic.ai approached the process as an opportunity to strengthen its security-first culture. The achievement reflects progress across the following milestones: 1. Security Foundations & Policy Overhaul The company performed a comprehensive review of all data flows, access points, vendor interactions, and incident response protocols. Policies were rewritten and fortified to align with both AICPA Trust Services Criteria and GDPR requirements. 2. Access Control & Data Protection Strong technical measures, including multi-factor authentication, least-privilege access controls, and encryption for data in transit and at rest, were implemented to safeguard sensitive client information. 3. Continuous Compliance Monitoring With Vanta, Lamatic.ai deployed automation for real-time monitoring of its systems and processes, ensuring consistent adherence to compliance obligations. The Trust Center serves as a public-facing window into the company’s active security posture. 4. Security Awareness Culture Beyond tools and policies, Lamatic.ai fostered a culture of security awareness through targeted, role-specific training for all employees, integrating best practices into daily operations. 5. Independent Validation & Testing Lamatic.ai partnered with Prescient Assurance for a thorough SOC 2 audit and engaged eSec Forte for advanced penetration testing, simulating potential attack scenarios and proactively addressing vulnerabilities. 6. GDPR Alignment All data collection, storage, and deletion practices were scrutinized and updated to ensure full compliance with GDPR, giving customers — particularly those in Europe — peace of mind. Commitment Beyond Compliance SOC 2 and GDPR compliance are not endpoints but ongoing commitments. Lamatic.ai will continue to refine its security controls, invest in monitoring and incident response capabilities, and remain transparent about its processes. Clients and partners can access more details by visiting the Lamatic.ai Trust Center or by contacting legal@lamatic.ai to obtain a copy of the SOC 2 report. Trust Center Trust Centers are the fastest and most transparent way to demonstrate your company's commitment to security trust.lamatic.ai About the Platform, Auditors & Security Testing Vanta - Automated Security and Compliance Monitoring. Prescient Assurance – Independent auditors specializing in information security and compliance assessments. eSec Forte – Cybersecurity specialists who conducted end-to-end penetration testing to ensure resilience against potential threats. At Lamatic.ai, securing your data and earning your trust is more than a milestone—it’s our ongoing promise. Aman Sharma (CTO Lamatic.ai) If you want to learn more or get a copy of our SOC 2 report, just reach out to your account rep or drop us a line at legal@lamatic.ai. We’re always happy to chat.

MCP Server, New Cohere Models, Improvements to Firecrawl and Deployments

Excited to introduce MCP integration for secure external data access and tool connectivity, announcing cohere model support, launch the new unified Firecrawl Node for streamlined data crawling, and deliver faster, more stable deployments, built to support growing teams. MCP Integration You can now connect to external systems and APIs in a secure, modular way with MCP Server integration in Lamatic Studio. Available as part of your flow builder (e.g., in the Text Generate node, MCP Node), this integration unlocks: Trigger flows from new messages in a channel Sync and extract messages with metadata Run sentiment or entity analysis Enable semantic search on conversation history Checkout the docs Cohere Model Now Available We’ve added support for the Cohere Model, designed for long-context understanding and deep reasoning. Handle long documents and complex inputs Perform multi-step Q&A and structured reasoning Great for technical, analytical, or research-heavy content Get more accurate and complete results inside your flows Checkout the documentation Firecrawl Integration Improvement Previously, you had to choose between a Crawler Node or Scraper Node. Now, with the new unified Firecrawl Node, you can configure either behavior directly inside a single node — giving you greater control and a streamlined experience. Use it as a crawler, scraper, or both Cleaner UI for setting crawling depth, filters, and output format Easier debugging and output preview Checkout the docs Enhance Your Deployment flows We're rolling out a new version of Lamatic Studio focused on faster performance, improved scalability, and better deployment stability. To take advantage of this, update your existing projects to the latest version. More stable runtime across flows Optimized handling of large file and model responses Smoother version upgrade experience for existing customers Other Improvements Prompt Gallery Updates You can now rename Prompt Galleries and seamlessly reuse them across multiple flows. A search bar has been introduced for easier prompt management, automatically appearing when there are more than five prompts. Additionally, the layout has been enhanced for a cleaner and more intuitive user experience. Flow Editor Enhancements Input fields now have a cleaner appearance and consolidated variable selection directly in the input box for faster editing.

Teams Integration, New Integration Docs, Bedrock Models & Lamatic for Startups

Introducing Microsoft Teams integration, an updated integrations hub, and support for Amazon Bedrock foundation models. Microsoft Teams Integration Lamatic now supports direct integration with Microsoft Teams, enabling real-time message syncing, content extraction, and chat-based automation. This solves the problem of lost or inaccessible insights buried in team conversations by allowing you to trigger flows based on new messages, extract structured content, and analyze sentiment or entities from chat. Trigger flows from new messages in a channel Sync and extract messages with metadata Run sentiment or entity analysis Enable semantic search on conversation history Checkout the docs New Integration Docs for seamless integration We’ve introduced a new integrations docs within Lamatic to give users a unified view of all available apps, data sources, and models. Previously, finding and managing integrations was scattered across multiple sections, making setup cumbersome. This update simplifies the experience, making it easier to explore, connect, and manage integrations in one place, speeding up onboarding and flow creation. Checkout the page Amazon Bedrock Lamatic now integrates with Amazon Bedrock, giving you seamless access to a wide range of foundation models like Anthropic, Cohere, Mistral, Meta, and others via AWS. Switching between model providers used to involve managing multiple APIs and credentials, but this update removes that friction. It allows you to run diverse GenAI models within your flows through a single connection, enabling better model flexibility and experimentation. Checkout the docs Other Improvements Improved PostgreSQL Integration: Refined the setup experience with clearer field descriptions and input validation, making it easier to connect your PostgreSQL database without confusion or errors. General Integration Enhancements: Enhanced Google Drive, Google Sheets, OneDrive, S3, SharePoint, and internal utilities with better error messages, improved logging, and clearer configuration workflows for easier troubleshooting and more stable setups. Lamatic for Startups We're thrilled to launch the Lamatic Startup Program — designed specifically for early-stage AI-powered SaaS teams looking to move faster and smarter. Whether you're building internal AI tools, LLM-powered features, or trying to reach product-market fit, this program gives you the technical and strategic edge you need. What You Get: Free Credits Eligible startups receive up to $5,000 in Lamatic credits to build, test, and scale AI-powered workflows — whether it’s RAG pipelines, intelligent automations, or document-driven copilots. Priority Support Access 24x7 private Slack channels, dedicated solution engineers, and weekly live support calls to help debug, optimize, and scale your use cases — fast. Expert Advisory Get a personalized Lamatic Blueprint for your use case, tailored guidance from our AI experts, and early access to our Talent Platform to help you scale with the right people. Apply Now

Postgres Action Node, Azure AI & Deepseek Models

Query databases directly in your flows, connect Azure AI models without custom code, and use advanced AI reasoning with our new Deepseek integration. Postgres Action Node — Run Postgres Queries from Agent Flows With Postgres Action Node, Now you can run SQL queries directly within your flow. No external setup or backend scripting required just connect and query. Why it’s useful: Read data from your database on the fly Log outputs directly into your tables Run real-time inserts and updates during flow execution Build dynamic, data-powered automations without custom code 👉 Explore how to use it Extended Azure AI Support — Use Azure Models Seamlessly in Your Flows You can now bring your Azure AI Foundry or Azure OpenAI models directly into Lamatic. It’s never been easier to connect your enterprise AI infrastructure. Why it’s useful: Easily plug Azure-hosted LLMs into your workflows Stay within your organization’s secure cloud environment Deploy models for summarization, RAG, chatbots, and more Avoid the need for custom API connectors or extra dev time 👉 Get started in the docs Deepseek Model Now Available — High Reasoning AI at Your Fingertips We’ve added support for the Deepseek Model, designed for long-context understanding and deep technical reasoning. Handle long documents and complex inputs easily Perform advanced reasoning and multi-step Q&A Improve performance on analytical, structured, or technical content Generate more accurate and complete responses in your flows 👉 Checkout the docs Other Improvements Clearer Error Messages: Better error explanations when setting up integrations like Google Drive, Google Sheets, OneDrive, S3, and SharePoint - easier to fix problems. Improved Settings: Smoother experience when adding or updating security credentials. Faster Loading: Quicker loading times when setting up vector databases.

Introducing Use Case, Improved Debugger and wait node

Build your use case faster with one-click deployable projects, Build with improved debugger and wait node for flow control Introducing Lamatic Use Cases — Build Smarter, Faster Now building with Lamatics is easier then ever with prebuilt use cases. These are based on common use cases we have seen people building using Lamatic. With only a few clicks you can deploy a fully functioning AI Feature into production. Explore them now at Lamatic Studio More use cases will be added regularly based on user feedback and industry trends. Improved Developer Experience with new Debugger We’ve completely reimagined the debugging experience based on community feedback and continuous iteration. Now you can: Enhance UI with minimalism and more details to build better. Save test cases to reuse and iterate faster. Inspect input, output, logs, and token usage for each node in your flow. See estimated token cost per test run for better cost management. Identify and fix issues with precision, without needing to guess what's going wrong. Learn how to use the debugger: Check out the docs Wait Node We’re thrilled to introduce the Wait Node, designed to add a customizable delay (1–90 seconds) in your flow execution. This is ideal for managing rate limits, sequencing dependent actions, or introducing strategic pauses between steps. Perfect for handling rate limits, sequencing steps, or pausing between dependent actions. Key Benefits: Improved Flow Stability: Prevents errors from premature executions. Controlled Execution: Coordinates better across systems and APIs. Reduced Failure Rates: Helps avoid overloading external systems. Flexible Timing: Set custom wait durations based on your use case. No Extra Scripting: Add timing logic visually—no code needed. Check out the docs Others Improvement Better Error Messaging: When model credential tests fail, you'll now see detailed error messages alongside existing guidance, making it easier to troubleshoot. Secrets UI Enhancements: Improved UX for the “Add Secrets” dialog—form fields now reset consistently to avoid confusion. Performance Boost: Removed unnecessary dynamic loading for vector database options in input fields, making configuration faster and more reliable.