Lorikeet, the AI company building universal concierges for businesses, has launched its Team of Agents platform — an industry first that enables multiple AI agents to collaborate in real time to resolve customer issues across voice, chat, email, and SMS.

Unlike traditional single-threaded chatbots that simply direct users to help articles, Lorikeet’s system orchestrates end-to-end problem solving. For instance, it can call logistics providers to track missing orders, text doctors for prescription follow-ups, or email hotels to arrange accommodations, all while keeping the customer informed through their preferred channel.

Why Lorikeet Stands Out

CEO Steve Hind explains, “Customers want someone to actually solve their problems. Our Team of Agents coordinates multiple agents across channels to deliver complete resolutions, not just responses.”

Key differentiators include:

• Multi-modal support: Deploy AI across voice, chat, email, and SMS, critical for real-world interactions.

• Fully configurable workflows: Adapt Lorikeet to your business logic, from structured processes to fully autonomous agentic solutions.

• Coordinated agent teams: Specialized agents engage third parties simultaneously, ensuring fast, accurate resolution.

Customer Success Stories

• Flex: Lorikeet helps renters manage monthly payments and avoid late fees, outperforming Decagon in accuracy and speed.

• Arbor: AI agents manage complex retail energy customer requests across 13 states, with high satisfaction and brand loyalty reported.

The result: higher customer satisfaction, stronger brand loyalty, and scaled agent productivity, allowing support teams to achieve more without adding headcount.

Industry Recognition

Lorikeet was also top-ranked in Andreessen Horowitz’s AI Spending Report, analyzing over 200,000 startups, highlighting its growing adoption as a solution for real, end-to-end customer experience automation.

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5WPR, one of the largest independently owned PR firms in the U.S., has launched a new integrated tech marketing offering aimed at supporting both fast-growth startups and enterprise technology brands. The service combines public relations, digital marketing, and reputation management to help companies build authority, drive demand, and accelerate growth.

The end-to-end approach covers strategic communications, narrative-driven PR campaigns, content creation, SEO, PPC, social media, influencer partnerships, and online reputation management. Specialized guidance is also offered for complex financial communications, including M&As and IPOs.

Driving Visibility in the Age of AI and Search

“Our integrated tech marketing offering is tailored to meet the unique challenges tech companies face today,” said Matthew Caiola, CEO of 5WPR. “By combining PR expertise with cutting-edge digital marketing and reputation management, we empower clients to stand out and build lasting connections with their audiences.”

The service leverages 5WPR’s proprietary GEO optimization tools and advanced digital strategies to enhance visibility across search engines, AI-driven platforms, and social channels. Campaigns are designed for measurable results, helping brands generate qualified leads, increase engagement, and reinforce thought leadership.

Supporting Growth Across All Stages

This launch reflects 5WPR’s commitment to providing results-driven solutions for tech companies at every stage — from early-stage startups seeking traction to established enterprises reinforcing industry leadership.

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In a digital world ruled by visuals, Cloudinary wants to make sure brands aren’t drowning in their own content. The image and video management platform today rolled out new AI-powered upgrades to its Cloudinary Assets digital asset management (DAM) system — headlined by People Search, an AI-driven feature that identifies individuals across massive content libraries, and enhanced analytics dashboards that help teams monitor usage and performance at a glance.

The goal? To make organizing, governing, and optimizing digital media as intuitive as creating it.

AI That Knows Who’s Who

With People Search, Cloudinary can automatically detect and tag people in photos, creating “named groupings” — say, for brand ambassadors, employees, or campaign talent. Every time a new image featuring that person is uploaded, it’s automatically added to the right collection. The result: no more manual sorting or endless file digging.

That’s particularly useful for brands managing sprawling visual libraries across global teams, where content often spans thousands of assets and dozens of contributors.

Smarter Insights, Faster Decisions

Cloudinary also introduced a new analytics suite that gives marketing and creative teams a clear view of how their visual content is performing — and how the DAM itself is being used. These dashboards surface metrics around content usage, team activity, and asset performance, enabling better governance and strategic planning.

“Delivering engaging visual experiences at scale is no longer optional — it’s expected,” said Rob Daynes, Managing Director of Cloudinary Assets. “These enhancements help teams move faster, stay compliant, and get more ROI from their creative work.”

The Bigger Picture: AI in DAM

Cloudinary isn’t the only player betting on AI to tame content sprawl. Rivals like Adobe, Bynder, and Aprimo have also infused AI into their DAM platforms to improve asset tagging, search, and compliance. But Cloudinary’s differentiator lies in its AI Vision, a built-in system leveraging large language models (LLMs) and specialized computer vision algorithms that can interpret prompts like “Does this image contain a person?” or “Is the model facing left?”

This lets users automate classification and tagging without custom AI training — a major efficiency boost for organizations juggling tens of thousands of images and videos.

Guardrails for the AI Age

As AI-generated and user-submitted visuals proliferate, Cloudinary’s content credentialing capabilities — compliant with C2PA standards — aim to ensure authenticity and trust in digital assets. AI-driven moderation adds another layer of brand safety by automatically flagging or filtering inappropriate or off-brand content.

What’s Next

Attendees at DAM New York 2025 can catch Cloudinary at booth #14 or during the session “Exploring Video in DAM” on October 14, featuring experts from Blackstone, MLSE, and ICP.

For current users, the new AI features and analytics tools are live today. And for anyone curious about the ROI of automation, Cloudinary even offers an AI Value Calculator to estimate savings.

Cloudinary’s latest move reinforces its push to keep enterprises’ visual content organized, intelligent, and future-proof — one pixel, one prompt at a time.

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In a market crowded with AI vendors promising smarter customer engagement, BlastPoint is taking a more conscientious route—one that balances predictive power with ethical responsibility.

The Pittsburgh-based AI customer intelligence platform announced it has raised $10.6 million in growth funding, led by MissionOG with participation from Curql Fund, Michigan Capital Network, and other existing backers. The infusion aims to accelerate the company’s work in AI-driven predictive analytics for enterprises navigating digital transformation pressures.

Betting on Responsible AI in a $13B Market

The timing couldn’t be better. The global market for AI-powered customer engagement tools—estimated at $13 billion—is surging as organizations scramble to serve customers “efficiently, equitably, and at scale.” BlastPoint’s sweet spot lies in the financial services and utilities sectors, where the combined opportunity exceeds $2 billion. These are industries facing heightened scrutiny over fairness, accessibility, and sustainability.

While many AI startups focus on raw automation or generative creativity, BlastPoint’s model zeroes in on auditable, permission-based data prediction—explicitly avoiding the “hallucination” issues plaguing large language models. Its AI predictions are designed to be transparent, equitable, and grounded in real-world, consented data.

From Prediction to Impact

Beyond the tech, BlastPoint’s mission has a tangible human angle. The platform helps connect struggling households to assistance programs, including income-capped billing and balance forgiveness—addressing social equity alongside profitability.

The company’s results speak to both scale and sustainability: 2X year-over-year growth, 100% customer retention, and technology that already touches one in four U.S. households.

“MissionOG’s investment supports our next phase of growth without compromising our values,” said Alison Alvarez, CEO and Co-Founder of BlastPoint. “We’re building the next generation of predictive analytics to help organizations deliver equitable insights that truly improve lives.”

A Rising Leader in Responsible AI

For MissionOG, this investment is a bet on a future where ethics and efficiency are not mutually exclusive. “BlastPoint is addressing critical challenges in utilities and financial services—sectors under enormous pressure to engage customers responsibly,” said George Krautzel, Managing Partner at MissionOG. “Their responsible approach to AI positions them as a market leader.”

As AI’s role in customer engagement deepens, BlastPoint’s emphasis on auditable, ethical intelligence offers a refreshing counterpoint to the “move fast and break things” ethos that once defined tech innovation. With this latest funding round, the company looks poised to prove that responsible AI can scale—and sell.

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AI is fast becoming a digital coworker—but it’s also a security nightmare waiting to happen. As developers rush to give AI agents access to real accounts and workflows, credentials are increasingly being baked into models or code, creating the same data leaks and security gaps the industry has spent years trying to close.

1Password wants to fix that. The identity security company today launched Secure Agentic Autofill, a new feature designed to keep AI agents from ever seeing or storing login credentials. The feature is available in early access through an integration with Browserbase, a cloud browser automation platform.

The promise? AI agents that can act autonomously—without compromising security.

AI That Knows What to Do, Not What You Know

With Secure Agentic Autofill, AI agents can log in to websites and services during automated workflows, but credentials never leave 1Password’s encrypted vault. Secrets are fetched just-in-time, injected securely at runtime, and wiped immediately after use—never visible to the AI, Browserbase logs, or repositories.

That’s a big deal. Current AI development practices often rely on hard-coded API keys and stored secrets, making every deployment a potential data breach.

“AI is changing the way people work, but the fundamentals of security don’t change,” said David Faugno, CEO of 1Password. “By partnering with Browserbase, we’re enabling teams to innovate with agentic AI while keeping credentials and data protected by default.”

The integration also introduces human-in-the-loop authorization: users can approve AI access requests in real time through 1Password’s mobile or desktop apps, adding oversight to autonomy.

Solving the “Authentication Gap” in Agentic AI

For all the excitement around Agentic AI—AI agents that can act independently across the web—the challenge of secure authentication remains largely unsolved. How do you let an AI log in on your behalf without actually giving it your keys?

1Password’s zero-knowledge model answers that question. Credentials stay encrypted and isolated, even from the systems that use them. The company calls this “AI identity security by design.”

Paul Klein, CEO of Browserbase, put it more bluntly: “As we move toward an AI-native internet, agents need a trust layer for credential access. Our partnership with 1Password creates exactly that.”

The Bigger Picture

This launch arrives as enterprises cautiously explore AI-driven automation—balancing innovation with compliance, data privacy, and brand trust. By fusing 1Password’s security framework with Browserbase’s automation tools, the companies are offering what could become a template for secure, scalable AI operations in regulated industries.

Secure Agentic Autofill is available in early access starting October 8, 2025, for 1Password customers using Browserbase.

If Agentic AI is the next frontier of digital work, 1Password just made sure it doesn’t leave the vault open.

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The race to make advertising intelligence more accessible just got a major boost. Guideline, a leading provider of media intelligence and planning software, has launched the Guideline AI Agent—a conversational interface designed to make ad spend and pricing insights as easy to retrieve as asking a question.

This new capability is embedded directly within Guideline’s customer-facing platform, enabling users to type natural language queries and instantly receive precise responses—whether as text, charts, tables, or comparative visuals. The goal: turn the company’s rich transaction data into actionable intelligence anyone in the organization can use.

“Customers can now move from a plain English question to decision in seconds,” said Vincent Mifsud, CEO of Guideline. “We’re accelerating time to value and enabling teams to apply differentiated intelligence faster than ever.”

From Manual Data Mining to Conversational Analytics

Media teams have long relied on Guideline’s intelligence tools for strategic decision-making based on verified ad spend and pricing data. The AI Agent pushes that capability further by automating the analysis process—no SQL, spreadsheets, or specialized analysts required.

Users can instantly generate customized charts or tables, apply filters, compare data across dimensions, and even export results in PNG, CSV, or XLSX formats for presentations or reports. The tool’s dynamic dashboards evolve as users continue to ask questions, effectively building a live, interactive data story.

It’s a smart move in an industry increasingly leaning on conversational AI to democratize analytics. Tools like ChatGPT and Microsoft Copilot are bringing natural-language querying to the enterprise, but Guideline’s advantage lies in its verified, transaction-based data foundation—a trusted benchmark for ad spend transparency.

The Road Ahead: From Descriptive to Predictive

This launch marks a key step in Guideline’s broader AI roadmap. By year’s end, the company plans to introduce a Model Context Protocol (MCP) layer, combining qualitative and quantitative data for more contextual insights. Future versions of the AI Agent will extend beyond descriptive and diagnostic reporting to deliver predictive and prescriptive intelligence, helping teams anticipate market shifts and optimize campaign performance in real time.

Guideline’s vision is clear: a platform where media professionals can design analytic environments through simple dialogue, supported by a robust data backbone and evolving AI capabilities.

In a landscape where data access often feels like decoding hieroglyphics, Guideline’s conversational AI could make media analytics as intuitive as having a chat.

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The cannabis industry’s data and compliance game just got a serious upgrade. Genuine Marketing Group Inc. (OTC: GMGZ) has announced a strategic partnership with IgniteIt, the newly launched cannabis industry events platform formerly known as Benzinga Cannabis.

The collaboration aligns IgniteIt’s powerful event and investor network with GMGZ’s patent-pending ZPTAG® technology, a compliance and consumer engagement app designed to verify cannabis products and capture first-party data. Together, the companies aim to elevate visibility, revenue, and long-term growth across the cannabis ecosystem—from investors to consumers.

Merging Event Reach with Compliance Tech

IgniteIt, founded by industry veterans Jason Raznick, Patrick Lane, Elliot Lane, and Javier Hasse, has built a reputation for high-impact investor networking events, regulatory insights, and B2B dealmaking across cannabis verticals. The group’s rebrand signals a renewed focus on connecting stakeholders in a rapidly evolving market.

For GMGZ, the partnership comes at an opportune moment. Following its entry into the cannabis sector and the debut of ZPTAG®, the company is looking to fuse real-time data transparency with trusted industry networks. Through the collaboration, IgniteIt events will feature ZPTAG® integrations, GMGZ thought leadership sessions, and VIP networking activations, while IgniteIt gains premium placement within the ZPTAG® app ecosystem.

“The IgniteIt partnership has been a long time coming,” said Chuck Chastain, CEO of Genuine Marketing Group Inc. “Our teams share a passion for the industry and a commitment to transparency and innovation.”

Building the Cannabis Industry’s “Trust Layer”

Patrick Lane, CEO of IgniteIt, echoed the sentiment: “We’ve spent years cultivating relationships, trust, and impact in the cannabis space. Partnering with GMGZ allows us to create a safer, more transparent industry for everyone.”

Both companies share a mission to establish a “gold standard” for compliance, insight, and product verification—a timely ambition as regulators and consumers demand stronger assurances about product safety and supply chain integrity.

The partnership’s fusion of ZPTAG®’s data-driven compliance tools with IgniteIt’s audience reach positions the duo to shape the next phase of cannabis market intelligence and consumer trust.

Expect more initiatives and product updates from the alliance as both companies move to define what a transparent, connected cannabis economy should look like.

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For enterprises eager to adopt AI, the road to deployment is often rocky—filled with unpredictable outputs, poor integration, and inconsistent reasoning. Seekr, the trusted AI company known for ethical and transparent systems, is stepping in to smooth the ride.

The company today unveiled three major updates to its SeekrFlow platform: Structured Outputs, Custom Tools, and GRPO Fine-Tuning. Together, they’re designed to make AI deployments more predictable, adaptable, and tightly integrated with enterprise systems.

Making AI Predictable, Practical, and Plug-and-Play

At its core, the latest SeekrFlow release aims to bridge the gap between what generative AI can do and what enterprises actually need.

Structured Outputs allow SeekrFlow Agents to return responses in precise, user-defined formats that comply with schema validation. That means companies can plug AI-generated data directly into APIs, dashboards, or databases—no manual cleanup required.

Custom Tools give enterprises the freedom to build Python functions that SeekrFlow Agents can call dynamically. This lets AI connect seamlessly with proprietary systems, unlocking everything from internal automations to domain-specific logic.

Finally, GRPO Fine-Tuning—a reinforcement learning technique—helps language models handle task-specific challenges such as math, coding, and structured reasoning. The result: smarter, faster, and more consistent problem-solving tailored to enterprise use cases.

“These capabilities make it possible for customers to deploy AI that’s directly connected to their business systems,” said Ben Faircloth, Senior Director of AI Solutions at Seekr. “AI must do more than generate text—it has to reason, act, and operate securely inside critical workflows.”

From AI Experiments to Enterprise Infrastructure

While many platforms focus on generic text generation, SeekrFlow’s latest upgrades aim squarely at enterprise-grade adoption—where reliability, compliance, and integration matter as much as creativity.

By combining structure, extensibility, and reasoning, SeekrFlow offers a model for real-world AI utility. Enterprises can now deploy agents that not only talk but also understand, act, and integrate, driving measurable business outcomes.

Seekr’s mission—AI that aligns with both operational and ethical standards—continues to set it apart in an increasingly crowded enterprise AI market. With these latest updates, it’s staking a claim as one of the few players building AI not just for intelligence, but for impact.

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