
NMI Payments transforms payments from a backend function into a strategic growth driver. Designed for software companies. SaaS platforms, ISVs and ISO partners, it enables you to embed, brand, and monetize payments directly within your software—without becoming a PayFac or taking on compliance complexity.
As a full-stack processor, acquirer, and technology partner, NMI manages underwriting, risk, and regulatory oversight behind the scenes. The result: faster go-to-market, stronger brand control, and new recurring revenue streams. With modular design and white-label flexibility, NMI adapts to your business model, whether you’re processing payments online, in-store, in-app, or unattended.
Key Benefits
Launch white-labeled payments in weeks, not months
Control pricing, share in transaction revenue, and own the customer relationship
Built-in compliance, risk, and fraud prevention tools
Flexible integration via no-code, low-code, or full API access
Developer-First Experience
NMI’s developer environment bridges business and technical needs. Developers gain instant sandbox access, prebuilt SDKs, and intuitive APIs to test, integrate, and deploy quickly. Guided onboarding, dynamic sandbox simulations, and drop-in components make payments easier to build and maintain. Business teams can explore revenue opportunities through self-service tools and instant earnings insights.
With NMI Payments, you can embed and scale payments without losing control—powering faster launches, stronger retention, and lasting growth
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Vehicle Acquisition Network (VAN) is a purpose-built vehicle sourcing platform that enables car dealerships to acquire high-margin, fast-turning used vehicles directly from private sellers—bypassing auctions, reducing acquisition costs, and accelerating inventory turn.
Today’s automotive market is more competitive than ever. Wholesale prices are climbing, auction fees are rising, and reconditioning delays eat into profitability. VAN solves this by giving dealers the tools and talent they need to target, engage, and acquire for-sale-by-owner (FSBO) vehicles in their local market with speed and efficiency.
With VAN, dealers can:
Access thousands of local private-party listings in real time
Use AI-powered filters to find the most profitable cars
Automate personalized outreach and follow-up with sellers
Track communications, tasks, and acquisition progress in one unified CRM
Eliminate auction fees, transport delays, and wholesale surprises
For stores that lack time or staff to do this work in-house, VAN also offers a Managed Buyer program—a turnkey service where VAN’s expert acquisition team works on your behalf to find, contact, and negotiate with private sellers. It’s like hiring a full-time buyer without the overhead.
Whether you're a single rooftop looking for more control or a large group scaling a private-party acquisition strategy, VAN adapts to your dealership's workflow and goals. Dealers using VAN regularly see faster turn times, higher front-end grosses, and more predictable inventory pipelines.
Trusted by over 250 rooftops across the U.S. and Canada, VAN is how modern dealers compete with Carvana, CarMax, and other direct-to-consumer disruptors—by sourcing smarter, not just spending more.
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VISTA
VISTA serves as a comprehensive seismic processing and quality control tool, adept at managing data from a variety of sources, such as land, offshore, and vertical seismic profiles. This software application operates on desktop platforms and supports the entire seismic data processing workflow, ranging from initial acquisition quality assessments to the concluding stages of interpretation for both 2D and 3D datasets, while being compatible with all major industry data formats. The user-friendly interface facilitates seamless navigation through various processes, enabling users to evaluate their datasets with ease through its interconnected displays. Additionally, VISTA supports the integration of personalized algorithms via C++ or MATLAB SDK interfaces, which significantly enhances its capabilities. The software features advanced processing techniques, including amplitude versus offset (AVO) analysis, angle of incidence (AVA) evaluations, multicomponent data processing, as well as the examination of both 2D and 3D vertical seismic profiles. On top of that, it is equipped with an advanced field package that delivers thorough geometry quality control and poststack migration functionalities, providing a holistic solution for seismic data management that spans from preliminary quality checks to prestack migration and time-depth imaging analysis. With VISTA, users can optimize and expedite their seismic analysis workflows, ultimately improving their efficiency and productivity in data interpretation. This makes VISTA an essential tool in the seismic data processing landscape.
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RadExPro
Evaluating various quality control aspects across multiple windows and their combinations is essential for proficient data analysis. This process incorporates synchronized interactive maps that display attributes related to common source, common receiver, and CMP, alongside a CMP fold map and a location map; the current active template is highlighted, showcasing the SP, RP, and CMP of the trace being examined. With real-time quality control, data quality can be monitored as it is captured, facilitating swift decision-making and the resolution of any emerging issues. A robust selection of industry-standard algorithms is offered for comprehensive data processing, encompassing procedures like vibroseis correlation, trace editing, band-pass and FK filtering, Radon transforms, FX and FXY deconvolutions, TFD noise reduction, amplitude corrections, deconvolutions, interactive velocity assessments, statics adjustments, NMO corrections, regularization, stacking, and both pre-stack and post-stack time migrations. By leveraging these sophisticated tools, the processing workflow benefits from enhanced data integrity and accuracy, ensuring that the seismic analysis is both reliable and effective. Ultimately, this systematic approach to quality control not only improves outcomes but also fosters a deeper understanding of the seismic data being analyzed.
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