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Flowgear Launches Builder MCP to Bring Enterprise Integration Into Any AI Chat or IDE

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New MCP capability lets teams build and test enterprise workflows directly from AI coding tools and local development environments without compromising security or enterprise guardrails.

ATLANTA, June 3, 2026 /PRNewswire-PRWeb/ — Flowgear, an enterprise integration platform serving more than 140 global partners and 1,000 certified developers worldwide, today announced the launch of Builder MCP, a way to build workflows directly from an AI chat.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear.

Builder MCP lets technical teams build Flowgear workflows directly from an AI chat or local IDE, outside the Flowgear console. For integration architects and developers, that means scaffolding and testing backend workflows from the tools they already use, without switching contexts.

Integrating AI Workflows Securely and Conveniently

Open-ended coding gives teams too many pathways for backend engineering, leading to architectural drift, security gaps, and duplicated work. These challenges are amplified as new AI coding tools are being integrated into developer workflows, creating AI sprawl, where multiple teams independently build overlapping or duplicate integrations across isolated tools.

Builder MCP solves this by constraining AI-generated workflows to validated patterns on Flowgear’s infrastructure, giving AI a toolkit to use rather than a blank canvas to create.

This capabilities upgrade delivers immediate advantages for modern engineering operations, including:

– Build from anywhere. Teams can create and test Flowgear workflows from external AI tools, IDEs, and local environments, using the same tooling surface available inside the Console.

– Faster loops. The AI-assisted workflow cuts the time between drafting and testing, so working outcomes accompany developer inputs.

– Guardrails included. Every workflow built through Builder MCP inherits platform-level governance and security, so nothing ships without Flowgear’s enterprise controls.

“Builder MCP fundamentally reimagines the integration lifecycle by embedding Flowgear’s framework directly into the AI tools where engineering teams increasingly work,” said Daniel Chilcott, co-founder and CEO of Flowgear. “By using AI to generate and refine structured backend logic on the fly safely, organizations can collapse their integration backlogs and achieve production readiness without the overhead of manual console design.”

Unlike many MCP offerings that focus on giving AI agents access to existing tools, app actions, or enterprise resources, Flowgear Builder MCP gives technical teams a way to create and test new Flowgear workflows from outside the Console, using the same workflow-building tool surface used by Flowgear’s built-in tooling.

Automation That Scales

Modern mid-market and enterprise organizations depend on a dense web of enterprise software platforms to drive daily business execution. When these systems remain disconnected, they generate deep operational drag, manual information dependencies, and siloed visibility across business units.

Flowgear bridges these gaps by providing out-of-the-box infrastructure connectivity that harmonizes data flows across distinct functional departments.

With the debut of Builder MCP, Flowgear establishes an AI-guided framework for constructing and scaling foundational workflows, keeping modern companies moving.

For example, in e-commerce or supply chain environments, Flowgear Builder MCP enables teams to build workflows that seamlessly connect online orders, stock levels, warehouse activity, ERP records, courier systems, and customer notifications. As the business scales, it empowers technical teams to rapidly adapt these workflows to accommodate new sales channels, fulfillment processes, or logistics providers.

Flowgear’s platform gives developers the freedom to build in their preferred environments while maintaining enterprise-grade governance. Builder MCP extends that principle to AI-assisted workflows.

“Builder MCP gives enterprises the confidence to deploy AI-assisted automation because the underlying workflows are governed by a resilient, enterprise-grade environment,” said JJ Milner, co-founder of Flowgear and founder and Managing Director of Global Micro Solutions. “AI development is only as good as the systems that surround it, and with Builder MCP, we are providing the structural foundation required to scale AI automation safely, reliably, and without the risk of sprawl.”

To explore the new build experience or learn how to register the Builder MCP endpoint with your AI agent, visit https://www.flowgear.net/.

About Flowgear

Flowgear is a globally recognized Integration Platform as a Service (iPaaS) trusted by businesses of all sizes to streamline data and app-to-app interactions, without the complexity of traditional tools. Founded in 2010 by Daniel Chilcott and JJ Milner, the company offers a no- to low-code platform that lets teams build and deploy integrations quickly, using hundreds of prebuilt connectors and a visual designer that simplifies even the most advanced workflows. With industry-leading reviews that rank it among the top iPaaS solutions globally, Flowgear gives businesses the speed, agility, and control to integrate anything, automate everything, and grow on a single platform. For more information, please visit https://www.flowgear.net/.

Media Contact
Kathy Berardi, Flowgear, 1 6786444122, kathy@berardipr.com, https://www.flowgear.net/

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SOPHiA GENETICS Announces Pricing of $50 Million Public Offering of Ordinary Shares

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BOSTON and ROLLE, Switzerland, June 16, 2026 /PRNewswire/ — SOPHiA GENETICS (Nasdaq: SOPH), a global leader in Ai-driven precision medicine, announced today the pricing of its previously announced underwritten public offering of 10,526,000 ordinary shares at a public offering price of $4.75 per ordinary share. The gross proceeds from the offering, before deducting the underwriting discounts and commissions and estimated offering expenses payable by the Company are expected to be approximately $50 million. All of the ordinary shares to be sold in the proposed offering will be sold by the Company. In addition, the Company has granted the underwriters a 30-day option to purchase up to 1,578,900 additional ordinary shares at the public offering price, less the underwriting discounts and commissions. The offering is expected to close on June 18, 2026, subject to customary closing conditions.

TD Cowen is acting as the lead book-running manager for the offering. Guggenheim Securities is acting as book-running manager, and BTIG and Craig-Hallum are acting as lead managers for the offering.

A registration statement on Form F-3 (File No. 333-289266) relating to the ordinary shares and other securities of the Company has been filed with the U.S. Securities and Exchange Commission (the “SEC”) and was declared effective on August 15, 2025. The offering may be made only by means of a prospectus supplement and accompanying prospectus. A preliminary prospectus supplement and accompanying prospectus relating to this offering has been filed with the SEC and a final prospectus supplement and accompanying prospectus relating to the offering will be filed with the SEC. Electronic copies of the final prospectus supplement and accompanying prospectus will be available on the SEC’s website located at www.sec.gov. Copies of the final prospectus supplement and accompanying prospectus relating to this offering, when available, may be obtained for free by contacting TD Securities (USA) LLC, c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717 or by email at TDManualrequest@broadridge.com.

This press release shall not constitute an offer to sell or a solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction. Any offers, solicitations or offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act of 1933, as amended. There is no intention or permission to publicly offer, solicit, sell or advertise, directly or indirectly, any securities of SOPHiA GENETICS SA, such as the ordinary shares, in or into Switzerland within the meaning of the Swiss Financial Services Act (“FinSA”) and these securities will not be listed or admitted to trading on the SIX Swiss Exchange or on any other regulated trading venue (exchange or multilateral trading facility) in Switzerland. Neither this press release nor any other offering or marketing material relating to these securities, such as the ordinary shares, constitutes or will constitute a prospectus pursuant to the FinSA, and neither this press release nor any other offering or marketing material relating to these securities, such as the ordinary shares, may be publicly distributed or otherwise made publicly available in Switzerland.

About SOPHiA GENETICS

SOPHiA GENETICS (Nasdaq: SOPH) is a cloud-native healthcare technology company on a mission to expand access to data-driven medicine by using Ai to deliver world-class care to patients with cancer and rare disorders across the globe. It is the creator of SOPHiA DDM™, a platform that analyzes complex genomic and multimodal data and generates real-time, actionable insights for a broad global network of hospital, laboratory, and biopharma institutions.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995, including statements regarding our expectations regarding the expected closing of this offering. In some cases, you can identify forward-looking statements by terminology such as “may”, “will”, “should”, “would”, “expect”, “intend”, “plan”, “anticipate”, “believe”, “estimate”, “predict”, “potential”, “seem”, “seek”, “future”, “continue”, or “appear” or the negative of these terms or similar expressions, although not all forward-looking statements contain these identifying words. Forward-looking statements are based on our management’s beliefs and assumptions and on information currently available to our management. Such statements are subject to risks and uncertainties, and actual results may differ materially from those expressed or implied in the forward-looking statements due to various factors, including those described in our filings with the SEC. No assurance can be given that such future results will be achieved. Such forward-looking statements contained in this press release speak only as of the date hereof. We expressly disclaim any obligation or undertaking to update these forward-looking statements contained in this press release to reflect any change in our expectations or any change in events, conditions, or circumstances on which such statements are based, unless required to do so by applicable law. No representations or warranties (express or implied) are made about the accuracy of any such forward-looking statements.

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Cohesity Maestro: Data Protection, Recovery, and Security Intelligence — Inside Existing Enterprise AI Workflows

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Cohesity will deliver the industry’s first headless data security architecture by extending protection, real-time telemetry, autonomous agents, and AI search directly into the AI-driven workflows enterprises have already built

SINGAPORE, June 17, 2026 /PRNewswire/ — Cohesity, the leader in AI-powered data security, today announced Cohesity Maestro, making the full Cohesity Data Cloud — cyber resilience operations, real-time telemetry, autonomous agents, and Cohesity Gaia, its AI-powered enterprise search and knowledge engine — natively accessible through Model Context Protocol (MCP). With Cohesity Maestro, we’re pioneering a headless architecture for cyber resilience — a capability no vendor in the industry has yet brought to market: one in which key Cohesity actions, telemetry signals, and data assets can be driven through agents, with no Cohesity interface required. Just as companies like Salesforce pioneered headless enterprise software, making their entire CRM platform commandable by external AI agents through open standards, Cohesity brings that same architectural shift to data security.

Built on the open MCP standard, Cohesity Maestro integrates natively with the AI platforms enterprises have already standardized on, including Anthropic Claude, OpenAI ChatGPT, and Google Gemini, without custom integrations or proprietary connectors. While some competitors have created a walled garden of agentic experience, Cohesity Maestro is open by design, giving enterprises broad choice over their AI stack and the flexibility to use the agentic tools best suited to their needs.

“Our customers have already chosen,” said Sanjay Poonen, CEO, Cohesity. “Claude, Gemini, and GPT already run operations on these platforms, which grow in capability every day. Cohesity Maestro gives those platforms direct access to our data protection capabilities. No new console. No workflow changes. Just the power of Cohesity, wherever their AI already lives. This is what headless data protection looks like, and Cohesity is the first in our industry to deliver it.”

Cohesity has long believed that technology should adapt to how people work, not the other way around. Cohesity’s platform already has the ability to act as an Agent to drive autonomous actions and orchestration, all within the user experience of the platform. For example, Cohesity Copilot, launched in 2024, introduced natural-language administration for data protection before the industry followed suit. Cohesity RecoveryAgent, launched in 2025, delivered intelligent cyber recovery when others were still selling manual runbooks.

That conviction now points somewhere new. Enterprises aren’t evaluating AI platforms anymore. They’ve chosen them. Their teams continue to build workflows around Claude, Gemini, and ChatGPT that grow more capable every week. The question they’re asking vendors isn’t “can you give us AI?” It’s simpler: can your product reach us where we already are?

For enterprises creating their own AI-driven workflows and assembling models, tools, and dashboards tailored to how their teams work, Cohesity Maestro fits inside whatever that looks like, while being governed by the same role-based access controls, authentication, and audit framework that apply to direct platform access. Cohesity doesn’t prescribe the AI experience; it participates in the one customers are already building on their own security terms.

IT and security operations teams can now ask what changed across their environment in the last 24 hours and surface a prioritized view of business-critical risks and recovery gaps. From there, they can trigger restores, hunt threats, and orchestrate recovery directly from the AI tools they already use, without switching to a separate console.

With Cohesity Maestro, customers will have native access to Cohesity platform capabilities, including:[1]

Cyber resilience orchestration — data protection actions, including protection, restores, status, reporting, query status, recovery groups, blueprints, threat hunting, and moreTelemetry and threat signals — real-time security telemetry and operational signals, surfaced into any AI workflow, enabling a custom intelligence layer integrated with existing operationsCohesity Gaia — semantically enriched search over all protected data, powered by NVIDIA enterprise AI and a deep metadata catalog, delivering enterprise data insights for developing better agents (available to Cohesity Gaia customers)Cohesity AI agents — including Cohesity Copilot for conversational reporting, anomaly detection, and operational actions, and Cohesity RecoveryAgent for recovery group and blueprint orchestration, with more agents to follow
 

As enterprise AI agents become more capable, Cohesity Maestro lays the foundation for a new model of autonomous business resilience: one in which an agent detects an issue, decides the appropriate response, and acts without waiting for human instruction.

Availability

Cohesity Copilot and RecoveryAgent are available today, along with Cohesity Gaia support for MCP. The Cohesity Maestro MCP interface and additional agents are expected to be available later this year. Contact Cohesity for early access information.

[1] Capability availability depends on existing Cohesity product subscriptions. Cohesity Gaia capabilities are available to Cohesity Gaia customers.

About Cohesity

Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI-powered data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including more than 70% of the Fortune Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE. 

Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more.   

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MoClaw’s Cloud Computer Now Runs Thousands of AI Agent Tasks a Day, Unattended

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Each user gets an AI agent on its own cloud computer — with browser control, persistent memory, reusable skills, scheduled automation, file storage, and transparent BYOK model access — no laptop required.

SAN FRANCISCO, June 16, 2026 /PRNewswire/ — MoClaw, the personal AI cloud computer, today announced that its platform is executing thousands of scheduled agent tasks per day without human intervention.

Unlike conventional AI assistants that respond only when prompted, MoClaw gives each user a persistent cloud computer. Agents drive browsers, manage files, run code, remember prior context, reuse skills, and execute recurring tasks — all without the user being present. With transparent bring-your-own-key model access, customers connect their own AI provider keys and pay those providers directly, with no markup from MoClaw on model usage.

Agents need infrastructure. Running them reliably means renting a server, configuring dependencies, and writing recovery logic — or leaving a laptop open around the clock. MoClaw removes that overhead. Each agent, its tools, and its runtime live in a managed, sandboxed environment that stays on whether the user is online or not.

Users assign work through the web, Telegram, or Slack. From there, agents navigate websites, extract data, fill forms, generate documents, and return results to the user’s preferred channel. Because each agent carries persistent memory and a library of more than 50 reusable skills — from browser control and web research to document handling and code execution — it builds on prior work instead of starting from scratch each session. Scheduled tasks run at set intervals; on-demand tasks fire immediately.

“Most agent products show you a demo where one task works once,” said Richard, Founder of MoClaw. “We wanted something different — a computer in the cloud that remembers what it did yesterday, reuses the skills it has already learned, checks your supplier portals every morning, compiles a competitor brief overnight, and sends a summary to Slack before you start work. The agents just run, the way a server runs.”

Early users rely on MoClaw for work that would otherwise require a dedicated machine or daily manual effort. Common tasks include monitoring competitor pricing pages on a fixed schedule, scraping public filings and summarizing changes, pulling cross-platform data into a morning report, and keeping browser-based workflows running that break the moment a laptop goes to sleep.

MoClaw is available now at moclaw.ai. Plans start at $20 per month and include persistent cloud storage, a visual desktop, browser control, reusable skills, and 24/7 scheduling — with no markup from MoClaw on AI compute. Customers can also connect their own model keys from OpenAI, Anthropic, Google, or other supported providers and pay those providers directly at standard rates.

About MoClaw

MoClaw is a personal AI cloud computer. Each user gets a persistent workspace where agents remember context, reuse skills, drive browsers, run scheduled tasks, and complete work autonomously — with transparent BYOK model access and no markup on AI compute. Available from Web, Telegram, and Slack. Learn more at moclaw.ai.

Press Contact:
Richard
2542492894
https://moclaw.ai/

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SOURCE MoClaw

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