CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.
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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.
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iCrypto
The iCrypto SDK is meticulously crafted to work seamlessly with the complete range of iCrypto's cloud services, allowing for integration into current Enterprise Applications or functioning independently as a password-less verification solution through the iCrypto App. Utilizing cutting-edge cryptographic technologies alongside robust device-level security and management, the iCrypto SDK stands out as a premier software token capable of serving as a biometric identification method across diverse sectors. It offers authenticator PKI signatures and supports an array of cryptographic protocols, including TOTP, HOTP, OCRA, and MTP, as well as push-based authentication methods. Additionally, the SDK encompasses both on-device and network-based biometric capabilities such as fingerprint scanning, iris recognition, and voice or face identification, along with features for third-party authorization, secure data storage, context collection, and numerous other security enhancements. This comprehensive approach ensures that organizations can maintain high levels of security while providing convenient access solutions for users.
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Niagra Framework
The Niagara Framework® is an all-encompassing software platform designed to tackle the complexities involved in developing device-to-enterprise applications. It functions as a pivotal hub for linking real-time operational information to the personnel and systems responsible for managing workflows in environments such as smart buildings, data centers, industrial operations, smart cities, and various business sectors. This framework delivers essential, cyber-secure connectivity for devices and capabilities for data normalization, which are crucial for extracting and utilizing operational data from both device-level and equipment-level silos. At the heart of Niagara lies a control engine that empowers users not only to track data movements but also to formulate logic sequences that enable control programming based on observed data. Furthermore, systems integrators can leverage the data management and user interface applications incorporated within Niagara to oversee historical data, schedules, and alarms, thereby enhancing operational efficiency. Ultimately, the framework offers a robust solution for seamless integration and management of diverse data sources across multiple applications.
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