TechnoMile is taking a decisive step toward redefining how government contractors manage growth, compliance, and the full federal lifecycle. At Elevate25, the company’s annual customer conference, TechnoMile introduced its fully re-architected TechnoMile Platform and a new wave of agentic, AI-driven product innovations designed to streamline everything from opportunity discovery to contract execution.

The announcements landed at a pivotal moment for the sector. Federal contractors face rising competition, shrinking margins, and increasingly complex compliance requirements. TechnoMile’s strategy is clear: put AI at the center of federal go-to-market and contract operations.

A Unified, AI-Native Platform for the Entire GovCon Lifecycle

The newly launched TechnoMile Platform serves as a secure, unified foundation connecting Growth, Portfolio Management, Contracts, Security, and Supply Chain teams in one environment. Unlike legacy tools retrofitted for federal workflows, the platform has been rebuilt from the ground up with AI embedded at every layer.

It integrates seamlessly with clients’ CRM and ERP systems—merging enterprise data with TechnoMile’s purpose-built federal contracting capabilities. Through domain-trained AI agents, the platform offers real-time insights, automated workflows, intelligent recommendations, and continuous adaptation based on organizational behavior.

A major differentiator is security: the platform meets FedRAMP Moderate Equivalency, enabling contractors to meet stringent federal cybersecurity standards without adding operational burden.

“We’re redefining how government contractors operate by embedding AI into the very fabric of their business,” said CEO Ashish Khot. He emphasized that the platform’s agentic automation helps clients work smarter, move faster, and unlock new levels of growth.

New Agentic Innovations for Growth and Contracts

TechnoMile also unveiled several AI-powered tools—some available now, others on the near-term roadmap—aimed at transforming federal business development, capture, and contract management.

GovSearchAI
A market and opportunity intelligence engine using agentic AI to surface high-value leads, perform rapid pipeline research, and deliver personalized opportunity insights. Growth teams can spend more time pursuing deals that matter.

Capture Copilot
A domain-trained AI agent that assists with research, past performance analysis, document drafting, and CRM updates across the capture lifecycle. The result is faster execution, reduced manual work, and more strategic focus.

Transform Copilot for Pre-Award
Designed to accelerate proposal development, this agent extracts business intelligence from solicitations, automates compliance workflows, and provides AI summaries and conversational document queries to help teams refine pricing and risk assessments.

Mila — TechnoMile’s New Digital Assistant
Mila brings conversational intelligence directly to Growth and Contracts teams, offering instant access to opportunity data, contract insights, executive briefs, and proposal artifacts. It behaves like a virtual BD, Capture, or Contracts Manager, speeding up decision-making across the lifecycle.

AI Agents for Contracts
These agents automate deliverable creation, approvals, document ingestion, and executive summaries. They enhance visibility, reduce errors, and strengthen performance across contract management.

Authoring & Negotiating Commercial Agreements
An extension of TechnoMile’s existing contracting capabilities, this tool uses Mila to guide clause selection, evaluate language, automate drafting, and enforce compliance with internal standards—streamlining commercial agreement workflows end to end.

Building an AI-Driven Future for Federal Business

The common thread running through TechnoMile’s announcements is a shift toward continuous, intelligent automation. By pairing FedRAMP-aligned security with domain-specific AI agents, the company aims to make federal contracting faster, more predictable, and significantly more efficient.

As government contractors navigate a landscape increasingly defined by data, regulation, and competition, TechnoMile is positioning its platform as the operating backbone for the next era of federal growth and contract execution.

Get in touch with our MarTech Experts.

ArcadianAI is stepping into the center of the security world with a blunt message: the traditional monitoring model is breaking. Security operations across the U.S. and Canada pour millions into control rooms, staff, and infrastructure, yet human operators still miss incidents and burn out. Most camera feeds show nothing for hours, while the workload keeps rising. ArcadianAI says it has the answer—AI employees that work like trained guards but at machine scale.

Ranger: An AI Guard Built for Real-World Security Demands

The company’s flagship platform, Ranger, connects directly to existing CCTV and NVR systems, acting as a fully autonomous digital security guard. Ranger does more than detect motion. It thinks like a human operator, reads context, and understands which events matter.

It recognizes weapons, break-ins, theft, fights, fires, accidents, vandalism, loitering, and suspicious vehicles. Each incident is analyzed, scored, and sent to operators with location context and recommended actions. Instead of endless noise, monitoring teams receive filtered, high-value decisions.

Ben Kavousi, Vice President of Operations at Virtual Security Concierge, put it plainly: “One AI guard can monitor more than ten thousand cameras for less than one human operator watching sixteen.”

Scaling Security Without Scaling Labor

Human monitoring hits the same wall every time: more cameras require more people. That equation doesn’t scale. Ranger flips the model. It never loses focus, gets tired, or misses a detail. It watches thousands of feeds across multiple sites in real time. No hiring waves, no training cycles, no new control rooms. Just cameras and AI.

This shift is especially relevant as monitoring centers face tighter margins and rising contract demands. Ranger functions as a workforce multiplier—an AI teammate filling the gap between growing workloads and limited personnel.

Cutting Costs While Improving Coverage

Labor remains the largest cost driver in video monitoring. It’s also where most missed incidents originate. Ranger automates up to 95 percent of manual monitoring work, reducing false alarms and expanding coverage. It delivers continuous situational awareness across every camera feed, something no human team can match.

This moves monitoring companies from labor-heavy operations to lean, intelligent systems capable of scaling without burnout or quality loss. Ranger isn’t positioned as a software tool. It’s marketed as a true AI teammate.

Built for the Modern Monitoring Center

ArcadianAI designed Ranger as an open, flexible platform compatible with the tools monitoring centers already use.

Key integrations and capabilities include:

• Support for RTSP, ONVIF, SIP, H264, and H265

• Compatibility with 3,000+ camera models, including Hanwha, Axis, Hikvision, Avigilon, and Pelco

• Integrations with Immix, Sureview, DW Spectrum, and Brivo

• Cloud or hybrid edge deployment with no proprietary hardware

• REST API, Webhooks, and MQTT for VMS and PSIM workflows

• Built-in encryption, audit logs, and GDPR, CCPA, and SOC 2 compliance

• Modular AI policies for residential, commercial, industrial, and education sites

This makes Ranger a drop-in AI layer for existing infrastructure rather than a full-system replacement—one of the fastest paths to modernization for centers that can’t afford downtime.

AI as a Teammate, Not a Replacement

ArcadianAI frames its technology as collaborative, not disruptive. Founder Marie Roohi captured that sentiment: “AI is not the end of security guards. It is their strongest teammate.”

For an industry grappling with labor shortages, rising costs, and expanding camera networks, Ranger marks a clear shift toward an AI-first model—one that addresses the realities of today’s monitoring landscape without discarding human expertise.

ArcadianAI believes the future of security isn’t fewer guards. It’s smarter systems, stronger teams, and AI support that scales where people can’t.

Get in touch with our MarTech Experts.

Landbase, the agentic AI startup reshaping how businesses identify, target, and engage customers, has been named to Gartner’s 2025 Cool Vendors in AI for Marketing list. The recognition highlights emerging companies delivering breakthrough applications of AI, especially those redefining how marketing and GTM teams operate.

The announcement marks a major milestone for Landbase, which has rapidly positioned itself as a new category leader in AI-driven audience intelligence and go-to-market execution.

A New Model: Turning Natural Language Into GTM Precision

Landbase built the first agentic AI platform for go-to-market, enabling teams to define ideal customers or markets using plain language. Instead of stitching together datasets, tools, and spreadsheets, users simply describe their intent. Landbase then instantly generates precise, high-fit audiences.

After creating these audiences, the platform’s AI agents enrich, validate, and activate them across channels—email, phone, and social—so campaigns begin with relevance instead of guesswork. The approach compresses what used to take days into minutes, giving marketing and sales teams a shared intelligence layer that keeps GTM motions aligned.

Leading B2B enterprises and fast-growing startups rely on Landbase to uncover new markets, surface hidden demand, and connect siloed workflows around a single view of audience fit.

“Agentic AI Is the Next Wave of Business Growth”

Landbase CEO and co-founder Daniel Saks called Gartner’s recognition a validation of the company’s core thesis: agentic AI and domain-specific models will define the future of business growth.

Enterprises may be swimming in data, Saks noted, but converting fragmented information into actionable insights still slows GTM teams. Landbase addresses that by pairing its proprietary GTM Omni models with agentic data and search workflows. The result is instant, high-accuracy predictions of who companies should target next.

“It’s about turning complex and fragmented data into simple, actionable intelligence that drives real outcomes,” Saks said.

A Platform Built for Speed, Accuracy, and Alignment

Landbase’s traction comes at a time when precision targeting has become essential. Budgets are under pressure. Conversion cycles are longer. GTM teams need more signal and less noise.

The GTM Omni model that powers the platform continuously learns from millions of real-world interactions. This improves prediction accuracy and audience quality over time, helping companies focus effort where conversion likelihood is highest.

Recent platform enhancements include:

• More powerful natural-language querying for audience exploration

• Audience validation tools to refine high-fit segments

• Collaborative AI agents that simulate GTM roles and streamline execution across targeting, qualification, and outreach

These capabilities reduce wasted spend and give teams a clearer path to measurable pipeline impact. As companies look beyond static databases and manual research, Landbase offers an adaptable system built for speed and intelligence—not spreadsheets and guesswork.

Landbase Emerges as a New Standard for AI-Driven GTM

The Gartner Cool Vendor nod reflects a broader shift in the market. Go-to-market teams now compete on accuracy, agility, and integrated intelligence. Landbase is positioning itself as the platform that brings all three together through agentic AI.

With its natural-language interface, predictive models, and cross-channel activation engine, the company is creating a new blueprint for modern audience strategy—one where GTM teams move faster, collaborate seamlessly, and engage only the buyers that matter.

As organizations push for smarter growth with fewer resources, Landbase is quickly becoming a foundational tool for AI-powered audience definition and execution.

Get in touch with our MarTech Experts.

In a move that signals where enterprise marketing is headed next, Palantir Technologies and Stagwell have joined forces to launch a new AI-driven marketing platform. The partnership brings together Palantir’s Foundry, Code and Theory’s orchestration software, and The Marketing Cloud’s proprietary data stack to power a unified system designed for large teams that need precision, speed, and massive data agility.

The platform doesn’t just crunch numbers. It automates complex marketing workflows, optimizes audiences, and gives enterprises the ability to deploy AI “agents” that act on their data. For organizations handling millions of customer records, this kind of automation is no longer a nice-to-have. It is survival.

A Central AI Hub for Marketers Doing Business at Scale

The combined system is already in early use through Assembly, Stagwell’s media arm, as part of an MVP rollout for select U.S. clients. Stagwell plans to expand availability across its network in the coming months.

Enterprises that adopt the platform gain access to a central marketing hub capable of handling tasks like audience alignment, campaign management, and data appending. Instead of wrangling siloed systems, teams can run orchestration from a single environment that feeds intelligence back into their marketing workflows.

For companies buried under massive datasets, the platform promises clear visibility. It can sift through tens of millions of records to segment audiences, analyze behaviors, and surface insights before a campaign launches. The goal is simple: increase ROI by ensuring brands understand their customers long before any creative hits the market.

The platform will be offered as a standalone product, but Stagwell hints at broader applications beyond marketing—including supply chain analysis and network regionalization.

Leaders Call It a Turning Point

Alex Karp, CEO and co-founder of Palantir, positioned the partnership as a shift toward a more adaptive marketing future. “Our software supercharges the speed of metrics collection and revolutionizes data integration capabilities,” he said. According to Karp, that speed unlocks real value not just for Stagwell but for any enterprise needing cleaner, faster decision-making.

Stagwell CEO Mark Penn called the offering “the holy grail of marketing,” pointing to its blend of advanced targeting, AI automation, and measurable outcomes. Penn expects the initiative to evolve into a major revenue engine within The Marketing Cloud, projecting eventual returns in the hundreds of millions.

Early clients are taking notice. Jonathan Schottenstein, president of American Signature Inc., said the company is already piloting the platform. “We are very excited for the potential of what the model can unlock in better understanding our customers and helping to increase our effectiveness,” he noted.

Why This Matters in Today’s Marketing Landscape

Marketers have spent years chasing the promise of AI-driven efficiency. Most solutions either lacked data depth or couldn’t execute with enterprise-level security. Stagwell and Palantir appear to be solving both problems at once.

The inclusion of differential privacy technology adds another key layer, especially as marketers balance data personalization with growing regulatory pressure. Protecting customer information without sacrificing precision is becoming non-negotiable.

At a time when marketing budgets face stricter scrutiny, a platform that scores higher ROI before a campaign launches could give brands a much-needed advantage. If Palantir and Stagwell deliver on their claims, this partnership may set a new bar for what enterprise marketing platforms must do next.

Get in touch with our MarTech Experts.

Lemon Seed Marketing has joined the ranks of Inc.’s 2025 Power Partner Award winners, a recognition reserved for B2B companies that founders trust most. The honor highlights firms that consistently help entrepreneurs navigate everything from early-stage chaos to long-term growth. For a home-service-focused agency built on practical experience and data-driven branding, the award marks a notable moment of industry validation.

Inc.’s Power Partner list isn’t a popularity contest. Finalists earn their spot through direct client feedback, scoring high for support across core business functions such as hiring, compliance, infrastructure, and fundraising. With startups relying heavily on reliable partners, these B2B firms often determine whether a company scales confidently or stalls under pressure.

A Win Rooted in Home-Service Expertise

For Lemon Seed Marketing, the award underscores a mission shaped by real-world experience. “Being named to Inc.'s Power Partner list tells us we're doing the right things the right way,” said co-owner and lead strategist Crystal Williams. Her background in a family-owned home service company has long informed the agency’s approach, helping Lemon Seed develop a deep understanding of the skilled trades.

The agency works closely with contractors and service providers to strengthen brand presence, build customer trust, and develop measurable growth strategies. According to Williams, the recognition reflects the “dedication and creativity” of the team behind those results.

Lemon Seed was selected in the Creative & Branding category, a fitting alignment for an agency known for developing cohesive brand identities tailored to regional markets and customer expectations.

Client-Driven Recognition Carries Weight

Creative Director and Partner Emily Fleniken noted that the award’s significance comes from who cast the votes. “We understand our clients' challenges, celebrate their wins, and grow alongside them,” she said. For agencies operating in the competitive home service sector, long-term partnerships often matter more than short-term campaigns. That sustained trust helped propel Lemon Seed onto Inc.'s list.

Over the years, the agency has guided hundreds of home service companies through branding overhauls, marketing strategy shifts, and customer experience improvements. Their work blends hands-on consulting with data-informed decisions, something many home service companies historically lacked access to.

A Broader Recognition of True B2B Partnerships

Inc. emphasized that its Power Partner honorees are more than vendors—they act as embedded partners in their clients’ success. Editorial Director Bonny Ghosh noted that the companies on this year’s list “aren’t simply B2B providers — they are true partners in helping businesses grow and succeed.” The recognition also highlights the growing importance of specialized agencies that understand the pain points of niche industries.

For Lemon Seed, the award signals growing influence within the home service marketing ecosystem and reinforces the agency’s standing as a trusted advisor. As businesses in the trades continue modernizing operations and expanding digitally, demand for experienced branding and marketing support is rising—making this recognition both timely and strategic.

Get in touch with our MarTech Experts.

MarketFully is making a bold move to redefine multilingual content marketing. The company announced a sweeping brand consolidation that brings Key Content and MotionPoint under one umbrella while introducing MarketFully.AI, its new AI-powered multilingual content platform. The shift positions MarketFully as the master brand, signaling a commitment to deliver unified, scalable, and deeply localized content solutions for global enterprises.

This consolidation is more than a name change. It sets the foundation for an integrated ecosystem combining AI-driven translation, transcreation, content creation, and human refinement—all aimed at helping brands stay competitive in a world where AI discoverability is reshaping global search and content strategy.

A Single Brand, Three Integrated Engines

Under the new structure, MarketFully stands atop its InContent marketing ecosystem, with Key Content and MotionPoint operating as InContent Marketing Agencies by MarketFully. The company’s former tech brand, GetGloby, has been fully absorbed into MarketFully.AI. That integration consolidates MarketFully’s technology stack into a single platform built to streamline content adaptation across languages and cultures.

The MarketFully solution now brings together:

• Key Content for managed multilingual content marketing

• MotionPoint for translation and transcreation

• MarketFully.AI (MF.AI) as the proprietary multilingual content technology powering the entire system

The result is an end-to-end multilingual content engine built for global brands that need precision, consistency, and measurable marketing outcomes across markets.

AI Discoverability Is Forcing a New Playbook

CEO Evan Kramer underscored the urgency behind the rebrand. As AI engines increasingly shape content discovery, brands must optimize for both search and AI-driven ranking systems across languages. Traditional translation pipelines aren’t enough. Marketers need adaptive content that performs well across markets while remaining faithful to cultural nuance.

The company’s new structure aims to meet that demand head-on. The unified MarketFully solution supports multilingual strategy, post-editing for AI-generated content, and fully managed localization services, with optional partially managed models for customers that prefer more hands-on control.

Inside MarketFully.AI: Adaptive Content AI Meets InContent AI

MF.AI is now the technological backbone of MarketFully. It includes two key components:

• Adaptive Content AI, which uses AI to adapt content at all levels—from translation to full creative generation

• InContent AI, which adds content intelligence, adaptive workflows, and performance-driven distribution

Together, these engines help brands create localized content that isn’t just translated but strategically optimized for regional audiences and AI-powered search systems.

Kai Malinowski, VP of Product Management, highlighted the balance MarketFully aims to strike. The platform blends automation with “culture-powered intelligence,” maintaining human experts in the loop to ensure accuracy, voice, and cultural resonance. That hybrid model is critical for brands that need scale without sacrificing authenticity.

Defining a New Category in Multicultural Marketing

With this consolidation, MarketFully is positioning itself as the global leader in InContent marketing. Kramer says the company is effectively defining a new category: multicultural marketing delivered at global scale. The approach extends beyond translation and into a complete evolution of inbound marketing for multilingual and multicultural audiences.

For brands operating across regions, languages, and cultural contexts, the integrated MarketFully ecosystem offers a single point of control. With AI at the core and human insight built in, the company aims to help enterprises build stronger global footprints while maintaining local relevance.

Get in touch with our MarTech Experts.

AI may be transforming every corner of enterprise tech, but at 8x8, it’s becoming the core of customer experience. The company is reporting a sharp rise in AI adoption across its Platform for CX, driven by organizations accelerating their use of intelligent automation, omnichannel messaging, and performance tools. From real-time summarization to self-service and API-driven engagement, customers are leaning on 8x8 to reduce manual work, improve service accuracy, and deliver faster, more personalized interactions.

According to the company’s latest fiscal results, customer contracts for the 8x8 Intelligent Customer Assistant grew 59% year-over-year in Q2 FY26. Voice AI usage surged even more dramatically—up 592% year-over-year, now representing more than 81% of all AI interactions across the platform.

AI Has Shifted From Buzzword to Baseline

“AI is no longer a concept, it’s a customer expectation,” said Hunter Middleton, Chief Product Officer at 8x8. With AI embedded across every layer of the platform—from voice and messaging APIs to the contact center—the company is positioning itself as a one-stop solution for enterprises modernizing their service operations.

The data backs that up. Intelligent Customer Assistant interactions across digital, voice, and auto attendants jumped 167% year-over-year and nearly 40% quarter-over-quarter. Auto attendant AI interactions alone climbed more than 181% quarter-over-quarter. These numbers point to growing comfort with automation—not as a cost-cutting tool, but as a performance multiplier.

Messaging and Voice APIs Become CX Workhorses

Organizations are steadily increasing their use of 8x8 communication APIs to reach customers via SMS, voice, and third-party messaging apps. Interactions across messaging, voice, and video channels rose 24% year-over-year.

• SMS traffic increased nearly 20% year-over-year.

• Interactions on channels like WhatsApp, RCS, Viber, Zalo, and LINE were up 181% year-over-year and 41% quarter-over-quarter.

• Voice API interactions grew 5X year-over-year and almost 63% quarter-over-quarter.

These gains suggest enterprises are moving beyond simple automation and embracing AI-enhanced, multi-channel communication as a strategic advantage.

Cross-Industry Customer Wins Strengthen the Story

8x8’s Q2 customer momentum spans healthcare, non-profits, financial services, and supply chain sustainability—industries where reliability, compliance, and scale matter.

Highlights include:

• A major European healthcare provider deploying the 8x8 Platform for CX with Intelligent Customer Assistant.

• A U.S. healthcare network modernizing communications across operations.

• A UK non-profit adopting 8x8 Work for enhanced team collaboration.

• A U.S. regional financial services firm choosing 8x8 Conversational AI and 8x8 Voice for Microsoft Teams.

• A global supply chain sustainability leader selecting 8x8 Work and Voice for Teams.

• An international professional services company adopting 8x8 CX tools for zero-downtime deployment and improved reporting.

The diversity of wins shows the platform’s flexibility—and reinforces the expectation that AI-driven CX tools will soon become standard across industries.

New AI Features Signal Where 8x8 Is Headed

Innovation in Q2 centered on embedding AI into workflows that traditionally required heavy human input:

• Native transcription in 8x8 Work now feeds insights directly into Conversation IQ.

• Workforce Management brings forecasting, scheduling, and real-time adherence automation to the Contact Center.

• Live summarizations create real-time call summaries, reducing wrap-up time and improving CRM data quality.

• Active Calls Reporting delivers faster access to live call analytics for real-time decision-making.

These capabilities reinforce 8x8’s vision for AI-powered performance: faster, smarter operations with AI augmenting agents rather than replacing them.

A Unified Platform Built for Global Contact Centers

The 8x8 Platform for CX brings together unified communications, contact center operations, and communication APIs under one AI-driven system. By combining automation, performance intelligence, and omnichannel reach, the platform helps organizations streamline internal operations while elevating customer interactions.

AI adoption is not slowing down—if anything, it’s becoming the foundation of modern CX. With this quarter’s results, 8x8 is making a clear case for why its platform is becoming a go-to choice for enterprises that want measurable improvements, not just incremental upgrades.

Get in touch with our MarTech Experts.

Daydream, the open-source community hub for real-time AI video and world models, just took a major step toward unifying one of the most fragmented corners of AI. The company announced two significant releases: Daydream Scope, a development environment built for real-time AI workflows, and full SDXL support inside the Daydream API and Playground. Together, they push Daydream closer to becoming the open backbone of real-time video generation—a space that has quickly become essential to creative technologists, virtual production teams, and developers racing toward fully interactive AI systems.

Scope Sets the Foundation for Real-Time AI Workflows

Daydream Scope is a local, open-source toolkit designed for anyone building or experimenting with real-time video and world-model pipelines. It gives developers modular interfaces to plug in models for inference, control, and remixing—offering the flexibility needed to explore emerging real-time techniques.

Eric Tang, co-founder of Livepeer, the parent company behind Daydream, framed Scope as a foundational shift. “It gives creative technologists and builders an extensible workspace to experiment with real-time AI pipelines,” he said. Whether users are testing generative video models, constructing virtual production systems, or conducting academic research, Scope is designed as a shared sandbox where innovation can spread quickly.

Scope is still in community alpha, but it’s already delivering support for models such as LongLive, StreamDiffusionV2, and Krea Realtime 14B. New models are being added at a steady pace, underscoring the momentum behind open-source real-time video tooling.

SDXL Unlocks High-Fidelity, Low-Latency Video Generation

Daydream’s SDXL release brings a substantial upgrade in quality and control. Built on StreamDiffusion’s open architecture, SDXL merges multiple research threads into a production-ready stack. The result is high-fidelity, low-latency video generation that creators can tune and manipulate in real time.

Key capabilities include:

• IPAdapter Style Control
  Standard mode enables dynamic artistic style transfer, while FaceID mode maintains character consistency across frames.

• Multi-ControlNet Precision
  Support for HED, Depth, Pose, Tile, and Canny ControlNets delivers spatial and temporal accuracy that gives creators unmatched control.

• TensorRT Acceleration
  NVIDIA-optimized inference boosts playback to 15–25 FPS, even with complex model combinations.

For users who prefer SD1.5, Daydream hasn’t left them behind. The company paired SD1.5 with accelerated IPAdapters to offer high-framerate style transfer and improved creative consistency.

Developers Are Already Plugging In

The open ecosystem approach is paying off early. Developers like DotSimulate—the creator behind StreamDiffusionTD, a popular TouchDesigner tool—are already folding Daydream’s SDXL support into new applications. Others are experimenting with the Daydream API or self-hosting the open-source StreamDiffusion fork to build customized SDXL-based systems.

These early integrations reinforce Daydream’s vision: a real-time AI video stack that connects models, creators, and infrastructure in one coherent ecosystem.

As real-time video generation accelerates and world models inch closer to mainstream adoption, Daydream is establishing itself as one of the rare open platforms offering both speed and transparency. With Scope and SDXL now live, the company is setting the stage for the next wave of real-time AI creativity.

Get in touch with our MarTech Experts.