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Warrant Launches First AI-Powered Marketing Compliance Agent for Financial Services, Real Estate, and Insurance

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Backed by Brickyard, Capitalize VC, and Vast Ventures, Warrant announces $720K in pre-seed funding to simplify marketing compliance in an era of regulatory chaos.

NEW YORK, April 9, 2025 /PRNewswire-PRWeb/ —  Warrant, the AI-powered marketing compliance platform purpose-built for regulated industries, today announced the launch of the first AI compliance agent designed specifically to review and approve marketing materials for financial services, real estate, and insurance companies. Alongside the product debut, Warrant has raised $720,000 in pre-seed funding from Brickyard, Capitalize VC, Triangle Tweener Fund, Vast Ventures, and a network of strategic angels, including executives from Brex, Slope, and current regulators.

“The most creative marketing doesn’t happen in spite of the rules—it happens when you know how to play by them,” said Austin Carroll, CEO and Founder of Warrant.

Warrant’s AI agent gives marketing and sales teams instant, tailored feedback on customer-facing content—whether it’s a website, social post, sales deck, email campaign, video, or influencer partnership. What sets Warrant apart is its ability to learn from a company’s previously approved content, providing suggestions that align with a team’s unique brand voice and risk tolerance. Over time, Warrant gets smarter, becoming a trusted extension of legal and compliance teams, proactively guiding marketers and sales reps through complex regulations.

Teams can review materials against a growing library of thousands of federal, state, and platform-specific policies—or create their own—and ensure every asset is aligned with their company’s guidelines. Warrant also streamlines approval workflows, allowing teams to collaborate seamlessly with legal, compliance, and partner stakeholders, and track reviews through to final approval.

“The most creative marketing doesn’t happen in spite of the rules—it happens when you know how to play by them,” said Austin Carroll, CEO and Founder of Warrant. “At Warrant, we demystify regulations, so businesses can move faster, hire the best people for the job, and unlock the full potential of their teams. In a world where every employee is a brand ambassador—whether they’re posting on LinkedIn or speaking at a conference—compliance isn’t just compliance’s job anymore. It’s everyone’s responsibility. And Warrant makes that possible.”

Marketing Compliance Has Never Been More Chaotic

Warrant launches at a time of sweeping changes—and chaos—in regulatory environments. As federal deregulation accelerates—whether it’s the rise of meme coins or uncertainty around CFPB enforcement— individual states are stepping in with new rules and enforcement actions, creating a confusing patchwork of policies that vary state by state. Nowhere is this more painful than for marketing and sales teams in financial services, real estate, and insurance, where partner banks and regulators are cracking down on customer-facing content. Companies are seeing approvals take longer, partner bank requirements grow stricter, and compliance risks increase.

Warrant’s AI agent was purpose-built to cut through that chaos. Early adopters—including Holdings, Future Money, and Relli—are using Warrant to reduce marketing review times from an industry average of six hours to just 15 minutes. Teams leverage Warrant to speed up partner bank reviews, streamline legal and compliance approvals, and keep marketing and sales campaigns moving—without sacrificing safety or regulatory rigor.

AI That Learns. Compliance That Scales.

Unlike traditional tools that rely on static, outdated regulations, Warrant’s AI analyzes a constantly updated stream of enforcement actions, regulatory press releases, and sanctions—giving teams a complete picture of what regulators are focused on today. It learns what approved content looks like within each organization and makes intelligent suggestions tailored to their brand voice and risk tolerance. This ensures faster approvals, fewer bottlenecks, and a proactive compliance process that scales as companies grow—keeping teams protected and ahead of emerging risks.

With this new funding, Warrant will expand its development of webhooks and integrations across the entire marketing, sales, and customer experience (CX) tech stack. Warrant’s proactive approach allows companies to embed compliance checks directly into the tools their teams already use, reducing risk from overlooked content and extending compliance across the entire organization.

Built by Experts in Marketing, Compliance, and AI

Warrant’s founding team brings deep expertise in marketing, financial services, and AI. CEO and Founder Austin Carroll previously led financial product marketing at Mercury and Brex, and served as a Product Manager at Capital One, where she experienced firsthand how compliance bottlenecks slow down marketing teams. CTO Daniel Chopson was formerly Chief Technical Officer and Co-Founder at Cove.Tool, where he pioneered the use of AI to interpret federal, state, and local regulations, and also held key engineering roles at Sage. Warrant’s team is supported by advisors from Dave, American Express, Melio, Brex, and current regulators.

“Marketing compliance has become a major bottleneck for companies in regulated industries,” said Matt Patterson, Partner at Brickyard. “Warrant is solving a massive pain point by enabling marketing and sales teams to move faster without increasing risk. Their AI-driven approach not only streamlines approvals but also ensures that compliance becomes a seamless part of the creative process. We’re thrilled to back Austin, Daniel, and the Warrant team as they build the future of marketing compliance.”

About Warrant

Warrant is the AI-powered marketing compliance platform for financial services, insurance, and real estate. The team of marketers, AI engineers, and compliance experts transforms complex regulations into intelligent AI systems that adapt to evolving laws, enforcement actions, and industry standards. The system continuously learns from each organization’s past approvals to provide smarter suggestions that reflect a company’s unique brand voice and risk tolerance. Marketing and compliance teams use Warrant to accelerate reviews, reduce regulatory risk, and ensure every customer-facing asset is compliant—enabling proactive, organization-wide compliance at scale.

For more information, visit www.hellowarrant.com

Media Contact

Austin Carroll, Warrant, 1 (347) 815-4715, press@hellowarrant.com, www.hellowarrant.com

View original content to download multimedia:https://www.prweb.com/releases/warrant-launches-first-ai-powered-marketing-compliance-agent-for-financial-services-real-estate-and-insurance-302423030.html

SOURCE Warrant

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JAMS Launches AI for Enterprise Job Scheduling: JAX and JAMS MCP, on the Model You Choose

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A new AI agent and an open-standard connector let IT teams query, diagnose, and manage automation in plain language, on the model they choose, with operational data staying inside their own network

LONDON, July 24, 2026 /PRNewswire/ — JAMS Software, an orchestration solution for scheduled and event-driven automation, today announced the general availability of two AI capabilities for enterprise job scheduling: JAX, an AI agent built into the JAMS Web Client, and JAMS MCP, a connector built on the open Model Context Protocol standard that brings JAMS into external AI coding tools. Both capabilities ship at no additional cost as part of JAMS Web.

Automation environments grow faster than the teams that run them. Jobs multiply across SQL Server, Azure Data Factory, Airflow, SAP, JDE, and Banner, and when one fails, finding the root cause often means searching several consoles at once, frequently outside business hours. At the same time, IT leaders carry pressure to adopt AI while staying accountable for where operational data goes. JAX and JAMS MCP close both gaps together.

Full details on how JAX and JAMS MCP work, including the control model behind every action, are available at jamsscheduler.com/product/ai.

JAX is an AI agent that runs inside the JAMS Web Client. It finds jobs, troubleshoots failures, and answers how-to questions in plain language, with each response grounded in the JAMS user guide and checked against a built-in glossary. JAX acts only when a user asks it to. Reads flow freely, and every write action pauses for the user’s explicit approval before it runs. JAX does not learn between sessions, and conversations are not retained on the server.

JAMS MCP is a connector, built on the open Model Context Protocol standard, that brings JAMS into the AI tools engineering teams already use, including Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex. Users query jobs, investigate failures, and manage runs in plain language without leaving their tool.

Both capabilities run inside the customer’s own network and act as the signed-in user, with that user’s exact JAMS permissions. There is no elevated AI account: whatever a user cannot do in the JAMS interface, JAX and JAMS MCP cannot do on that user’s behalf. Every JAX and MCP operation is recorded in its own dedicated log, and changes made through the JAMS API land in the JAMS audit trail like any other change. Customers choose their own AI model, whether a commercial provider such as OpenAI or Anthropic or a model running entirely on their own hardware, and JAMS never trains on customer data. In the current release, neither feature edits or deletes a job, folder, schedule, or agent definition. For teams that must keep operational data within a defined boundary, JAX runs on a local model entirely inside the customer’s own network, so nothing leaves at all.

“Adopting AI usually means giving something up, most often visibility into where your data goes,” said Pete Hegland, Chief Executive Officer of JAMS Software. “We built JAX and JAMS MCP so that trade does not have to happen. Every action runs as the signed-in user, every change waits for approval, and the model itself can run entirely inside your own network.”

“IT teams across the United Kingdom and EMEA tell us the same thing: they want the benefit of AI without losing sight of where their data goes,” said Greg McLaughlin, Account Executive for EMEA at JAMS Software. “JAX and JAMS MCP let them keep operational data inside their own network and still get answers in plain language. That combination is what makes this practical for the teams I work with.”

JAX and JAMS MCP are available now to all JAMS Web customers across the United Kingdom and EMEA, with no separate licence, SKU, or additional cost. AI-assisted creation of new jobs and workflows from a plain-language description is on the roadmap for a future release, gated by the same approvals and permissions as every other action.

Learn how JAX and JAMS MCP work at https://jamsscheduler.com/product/ai.

Fast facts

JAX is an AI agent built into the JAMS Web Client for job scheduling and workflow automation.JAMS MCP is a connector built on the open Model Context Protocol standard, for Cursor, VS Code with Copilot, Claude Code, Claude Desktop, and Codex.Both act as the signed-in user, with that user’s exact JAMS permissions, and there is no elevated AI account.Customers choose the AI model, including a local model that runs entirely inside their own network.JAMS never trains on customer data.Both are available now at no additional cost as part of JAMS Web.

About JAMS Software

Founded in 1987, JAMS Software is an orchestration solution that helps IT teams centralize, automate, and manage scheduled and event-driven jobs across complex, hybrid environments. Over 850 customers rely on JAMS to run their automated workloads. JAMS Software, LLC is headquartered at 108 Patriot Drive, Suite A, Middletown, DE 19709.

Media Contact
Bobby Schmidt, Vice President of Marketing
press@jamssoftware.com
800.261.4267

 

 

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View original content:https://www.prnewswire.co.uk/news-releases/jams-launches-ai-for-enterprise-job-scheduling-jax-and-jams-mcp-on-the-model-you-choose-302833908.html

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Video: CNPC offers green chemical answer

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BEIJING, July 24, 2026 /PRNewswire/ — A news report from chinadaily.com.cn:

Located on the edge of the Taklamakan Desert in Northwest China’s Xinjiang Uygur autonomous region, the Tarim 1.2 MTA Phase II Ethylene Project and its supporting green and low-carbon demonstration facility of PetroChina Dushanzi Petrochemical Company, a subsidiary of China National Petroleum Corporation, are offering a new example of China’s low-carbon industrial transformation.

Watch the video to discover how CNPC is exploring a cleaner and more circular future for the industry.

View original content to download multimedia:https://www.prnewswire.com/apac/news-releases/video-cnpc-offers-green-chemical-answer-302834036.html

SOURCE chinadaily.com.cn

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Shanghai Electric showcases embodied intelligence robot matrix and AI-native smart factory solutions at WAIC 2026

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Featuring humanoid robots with 41 degrees of freedom, pipe‑inspection robots with ±1mm positioning accuracy, and 51 industrial‑grade AI agents

SHANGHAI, July 24, 2026 /PRNewswire/ — Operations in high-end equipment manufacturing often involve confined spaces, complex objects, and fine manipulation tasks that demand sustained and stable precision. At the recent 2026 World Artificial Intelligence Conference and High-Level Meeting on Global AI Governance (WAIC 2026), Shanghai Electric (SEHK: 02727, SSE: 601727) showcased its comprehensive portfolio of embodied intelligence solutions tailored to a range of industrial scenarios.

Themed “AI for All: Smart Squad, Shining Without Limits,” Shanghai Electric highlighted its capabilities across embodied AI robots, robot core components, and AI-native smart factory solutions, demonstrating end-to-end capabilities spanning complete robot systems, critical parts, industrial software, and smart factory architecture.

“The true value of embodied intelligence lies in understanding real industrial tasks: combining the strength, precision, and stability of machines with human experience and judgment to drive a genuine paradigm of ‘machine-assisted, human-machine collaboration,'” said Wang Chunlei, deputy general manager of the Robotics Business Unit at Shanghai Electric Automation Group.

Shanghai Electric’s robotics portfolio covers five key industrial scenarios: connector insertion, electrical operations, flexible sorting, intelligent assembly, and pipe processing. Highlights include:

“SUYUAN” bipedal humanoid robot: With 41 degrees of freedom for enhanced mobility, it is equipped with a multimodal visual sensing system on the head and torso, along with a dual-battery hot-swap system. It is well-suited for inspection, material handling, and assembly tasks.”TUOYUAN” industrial wheeled humanoid robot: Powered by an embodied intelligence foundation model and force-position hybrid control, it is capable of multi-spec connector insertion, material sorting, and loading/unloading of automotive sheet metal parts.”Mermaid” bionic wheeled humanoid robot: Capable of autonomously identifying buttons, knobs, and air switches, it generates real-time operation paths.Autonomous pipe inner-wall chamfering robot: Designed for confined spaces, it can position and process thousands of hole edges with accuracy within 1 millimeter while transmitting data in real time.

Shanghai Electric also showcased its portfolio of core components ranging from power-output to end effectors. Among them, the planetary roller screw offers more than three times the load capacity of traditional ball screws, while the DexHand dexterous hand is designed to meet diverse gripping and manipulation requirements.

Shanghai Electric launched 51 AI models and agents under its “StarCloud Intelligent Manufacturing” series across three domains: R&D and design, production and manufacturing, and operations and maintenance—covering critical equipment processes such as process optimization and wind power facility maintenance.

These industrial agents are embedded in robotic decision-making systems and the operational logic of AI-native smart factories, transforming industrial expertise into digitized, reusable capabilities. They support production-line scheduling, quality inspection, and predictive maintenance, driving the evolution of manufacturing systems from experience-driven to data-driven operations.

Shanghai Electric also released the “AI-Native Smart Factory Technology White Paper,” proposing an active evolution architecture that enables real‑time, closed‑loop optimization of production data, giving the factory self‑perception, self‑decision, and self‑execution capabilities. Built on First Principles, the AI‑native smart factory vertically integrates process flows, industrial software, agents, and smart equipment to dismantle traditional hierarchies while horizontally bridging data silos. The architecture features three core layers: the AI factory brain as the “control center,” industrial agents and embodied robots as the “execution network,” and the physical twin as the “digital mirror.”

Leveraging its deep industrial expertise and comprehensive solution capabilities, Shanghai Electric will continue to drive the implementation of AI in industrial settings, tackle technical challenges facing embodied intelligence in complex scenarios, accelerate the large‑scale deployment of AI‑native smart factories, and deliver replicable solutions across diverse manufacturing environments.

SOURCE Shanghai Electric

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