Compare Mu vs. requests

Vehicle Acquisition Network (VAN) is private-party vehicle acquisition software for franchise and independent auto dealerships. It helps dealers buy used cars directly from consumers in their local market, alongside trade-ins and instead of paying up at auction. VAN pulls for-sale-by-owner listings from 25+ online marketplaces into one dashboard, filters out dealer and scam listings and Do-Not-Call numbers, and adds VIN decoding and market valuation to each vehicle. Buyers call, text, and email sellers from inside VAN, and every conversation stays attached to the car it is about. On VAN Accelerate™, outreach and follow-up run automatically, KBB ICO leads get a text back within minutes, and AccuTrade leads get an automatic response. For dealers without a buyer on staff, VAN Managed Buyer™ supplies a full-time buyer who is hired, trained, and managed by VAN. The dealership still makes the final buy decision and signs the check. Every plan includes an Acquisition Coach™, and VAN works with vAuto, VINCUE, CARFAX, AutoCheck, and most dealer CRMs. VAN was founded in 2013 and serves dealers in the United States, Puerto Rico, and Canada. Plans start at $1,695 per month. To see VAN on your market, call 855-952-4949.

BigQuery is a serverless, multicloud data warehouse that makes working with all types of data effortless, allowing you to focus on extracting valuable business insights quickly. As a central component of Google’s data cloud, it streamlines data integration, enables cost-effective and secure scaling of analytics, and offers built-in business intelligence for sharing detailed data insights. With a simple SQL interface, it also supports training and deploying machine learning models, helping to foster data-driven decision-making across your organization. Its robust performance ensures that businesses can handle increasing data volumes with minimal effort, scaling to meet the needs of growing enterprises. Gemini within BigQuery brings AI-powered tools that enhance collaboration and productivity, such as code recommendations, visual data preparation, and intelligent suggestions aimed at improving efficiency and lowering costs. The platform offers an all-in-one environment with SQL, a notebook, and a natural language-based canvas interface, catering to data professionals of all skill levels. This cohesive workspace simplifies the entire analytics journey, enabling teams to work faster and more efficiently.

3Q is an API-first video infrastructure for developers and engineering teams who want direct control over their media backend. A REST video API and native player SDKs give you programmatic access to hosting, ingestion, encoding, live streaming, video-on-demand, and delivery, so you can build video portals, streaming apps, or OTT backends on a single European platform. The stack is transparent by design. 3Q supports adaptive bitrate streaming over HLS and DASH with mixed HEVC and AVC codecs and automatic Live-to-VoD. Delivery runs over a proprietary global CDN, encryption, and HTTP/2 over TLS 1.3. The Cookie- and Consent-free HTML5 Video Player is barrier-free in accordance with WCAG 2.1/BITV 2.0 and needs no consent layer. Video AI exposes speech-to-text transcription, automatic subtitles, translation, and chapter markers through the same API, and integration fits your existing pipeline and video workflows. What sets 3Q apart is ownership. 3Q runs on its own independent European video infrastructure, so your data stays in the EU and under German jurisdiction. 3Q is GDPR-compliant and all processes are ISO/IEC 27001 certified, with modular pay-as-you-go pricing and 24/7 support from real video experts.

Most enterprises can report what AI cost them. Far fewer can say which team owns it, whether it was approved, or what it returned. FinOpsly closes that gap. The platform governs AI spend on the same cost model that carries the cloud, data platform and SaaS an AI workload consumes, so a business unit sees the full cost of an AI initiative instead of four disconnected bills. Capabilities include: Cost estimation before deployment. Model an architecture and get a priced workload across model APIs, GPU capacity, warehouse consumption and storage, with the assumptions on screen. Weigh model choices against consumption you have actually measured. Attribution that holds up in a chargeback cycle. Spend resolves to owners, teams, applications, business units and customers through hierarchies nine or more levels deep. Tagging is standardized across providers, keys and resources are labeled in bulk from plain-language rules, and whatever remains unattributed is published as a number, not absorbed. Guardrails that act. Set budgets by project, team or API key. Catch anomalies with root cause and route them to whoever owns the resource. Surface waste that provider tooling misses, using FinOpsly's own detection models. Plan commitments across AWS, Azure and Google Cloud. Park idle compute on approved schedules, reversibly. Financial results you can defend. Automated chargeback in a single cycle. Savings measured as what reached run-rate against a no-action baseline. Unit economics down to cost per call, per active user and per customer served. For technology and finance leaders accountable for what AI spend returns.

Most AI video tools hand you a black box: closed weights, a subscription, and no way to see what is happening under the hood. LTX takes the opposite approach. Built by Lightricks, LTX is an open foundation model that generates and simulates across video, audio, and the physical world, and it puts the weights, the code, and the control in your hands. At the center of the model is LTX-2.5, a 22B-parameter dual-stream diffusion transformer that produces native 4K video at up to 50 frames per second, with audio and video generated together in a single pass rather than stitched together afterward. Artificial Analysis, an independent benchmarking group, currently ranks LTX among the top three AI video models in the world. You choose how you want to use it. Download the open weights and run LTX-2.5 on your own hardware. License the model for on-premise deployment backed by enterprise support. Or build directly on LTX Studio, the production suite that turns the model into a full creative workflow. Companies like ElevenLabs, Asteria Film Co., Magnopus, and NVIDIA already rely on LTX for their own work. LTX is not built for one-off social clips. It is infrastructure for teams that generate motion, audio, and physical environments as part of their own products and pipelines.

An API powered by Google's AI technology allows you to accurately convert speech into text. You can accurately caption your content, provide a better user experience with products using voice commands, and gain insight from customer interactions to improve your service. Google's deep learning neural network algorithms are the most advanced in automatic speech recognition (ASR). Speech-to-Text allows for experimentation, creation, management, and customization of custom resources. You can deploy speech recognition wherever you need it, whether it's in the cloud using the API or on-premises using Speech-to-Text O-Prem. You can customize speech recognition to translate domain-specific terms or rare words. Automated conversion of spoken numbers into addresses, years and currencies. Our user interface makes it easy to experiment with your speech audio.

Dun & Bradstreet’s ChatD&B offers a powerful, AI-driven chat interface that simplifies how organizations research and assess companies. Instead of traditional complex filtering, users interact naturally by asking questions in their own words to receive tailored insights such as company financials, risk scores, and market data. The platform taps into the vast Dun & Bradstreet Data Cloud to deliver real-time, reliable information that supports smarter, faster business decisions. Enhanced features include visibility into the data sources behind results, chat history for audit trails, and quick answers to product-related queries. ChatD&B is designed to optimize workflows across sales, finance, and risk management by providing instant access to trusted company data. It helps teams discover new opportunities, evaluate customers, and make confident decisions all through easy chat conversations. The platform also enables better compliance and verification by allowing users to track and reference past interactions. With ChatD&B, organizations can accelerate growth and reduce operational friction.

Engineering teams shipping with AI have a new bottleneck: validation. Code output has accelerated. Quality hasn't. Checksum closes the gap. Checksum is a continuous quality platform with a suite of AI agents that handle testing end-to-end, at every stage of the development lifecycle. Where most tools wait for a human to trigger them, Checksum runs autonomously in the background, generating tests, executing them, and repairing failures without manual intervention. Seventy percent of test failures are resolved automatically through real-time auto-recovery. The platform covers every layer: end-to-end UI flows via Playwright, API endpoint chains, and targeted CI tests scoped to exactly what changed in a PR. All tests land as real code in your repository and are delivered as standard Playwright, owned by your team. Checksum is fine-tuned on 1.5+ million test runs and integrates natively with Cursor, Claude Code, and 100+ AI coding agents. Type /checksum and your coding agent's output gets tested before it ever reaches review. Generation and healing happen on Checksum's cloud infrastructure which means no LLM tokens consumed, no local resources required. The result: test suites that stay green as the product evolves, fewer regressions reaching production, and release confidence that scales alongside AI output.

EBizCharge is the leading embedded payments application for businesses to accept payments directly inside QuickBooks, Microsoft Dynamics, NetSuite, SAP, Acumatica, and 100+ other business systems. Trusted by 20,000 companies, EBizCharge combines modern billing tools with integrated payment processing to help B2B companies get invoices paid faster, eliminate manual work, and keep payment data automatically synced to their ERP. Companies use EBizCharge to: ◉ Accept credit card, debit card, and ACH payments natively inside ERP, CRM, or eCommerce platforms ◉ Speed up collections with easy billing tools: payment links, online customer portal, recurring billing, saved cards, and more ◉ Improve security and reduce risk with PCI-compliance, encryption, tokenization, fraud protection, and certified by the PCI-Security Council ⎯ HOW IT WORKS IN YOUR ERP, CRM, & E-COMMERCE PLATFORMS EBizCharge integrates natively with your ERP, CRM, or e-commerce platform through certified software connections, so payments work directly inside the system you already use. ⎯ FEATURES • Email payment links • Recurring billing • Secure online customer payment portal • Securely save cards • EMV terminals • Mobile payments • Ability to surcharge • Dedicated in-house support

Kitecyber: Data & Gen AI Security, Built on the Endpoint Your most sensitive data leaves through browsers, Gen AI prompts, SaaS uploads, and clipboards — faster than any network tool can catch it. Kitecyber stops that at the source, with a single lightweight agent that runs directly on the endpoint and acts the instant data is touched, not after it's already gone. Because it lives on the device, Kitecyber has full context — device, OS, process, data, user, and network activity together, in real time. That's the vantage point network- and cloud-only tools simply don't have. Data security that keeps up with your data. Kitecyber classifies sensitive information with LLM-powered, context-aware intelligence across 80+ categories — PII, PHI, PCI, source code, IP — at over 90% accuracy, not brittle keyword matching. It tracks data lineage through screenshots, encoding, and file conversion that defeat traditional scanners, and blocks policy violations inline, before data ever leaves the endpoint. Gen AI security for the age of AI agents. Kitecyber tracks sensitive data pasted or uploaded into tools like ChatGPT, Claude, and Gemini and stops it in real time. It discovers shadow AI reaching your devices and extends visibility to the AI agents now acting on your users' behalf — the blind spot identity- and network-based tools were never built to see. Trusted and proven. Kitecyber secures fast-growing fintech, BFSI, and SMB organizations in highly regulated environments, partnering with GRC leaders like Scrut Automation to unify security and compliance. It's SOC 2 Type II compliant, deploys in about a day, and delivers enterprise-grade protection without enterprise complexity. See what full-context data and Gen AI security looks like. Learn more at kitecyber.com.