Business Software for OpenAI

Cloudgov.ai serves as an intelligent AI-driven FinOps platform designed for ongoing management of costs and policy adherence across various environments, including cloud, multicloud, data systems, containers, and artificial intelligence. By integrating major platforms such as AWS, Azure, Google Cloud, Oracle Cloud, Snowflake, Databricks, Kubernetes, OpenAI, Anthropic, and Gemini into a unified control panel, it enables teams to monitor expenses, allocation, policies, and associated risks in real time. Its Continuous Multicloud Observability feature links accounts, reviews past expenditures, categorizes costs based on region, account, and service, and projects future spending based on historical data. With AI-generated insights, the platform uncovers areas of waste and potential optimization, and its anomaly detection functionality alerts users to unexpected spikes in spending along with their financial implications. Furthermore, it provides ready-to-use Infrastructure as Code snippets for remediation, which allows engineering teams to implement suggested adjustments seamlessly, and integrates with Jira to convert insights and anomalies into actionable tasks for team members, thereby streamlining the workflow for cost management. Overall, Cloudgov.ai empowers organizations to maintain financial control while enhancing efficiency across their cloud operations.

Waterfall serves as a credit infrastructure tailored for platforms that leverage large language models, enabling the transformation of AI applications into profitable business ventures without the need for teams to develop a proprietary billing system. It offers each user, agent, or team a credit wallet secured by stablecoins, meticulously tracking every model interaction based on provider, model, token count, and associated costs. Users can either route their requests through the Waterfall Gateway or utilize TypeScript and Python SDKs for integration, ensuring that usage is accurately attributed to the appropriate wallet in real time. Each API request is settled instantly against the wallet, leading to a decrease in credits while allowing for immediate revenue recognition for every request, eliminating the delays associated with traditional invoicing and manual accounting processes. With support for over 300 models from various providers, including OpenAI, Anthropic, DeepSeek, and xAI, Waterfall enables products to seamlessly deploy multiple AI services while managing a unified accounting framework. This innovative approach simplifies financial management for AI-driven applications, making it easier for businesses to scale their operations efficiently.

FinOps LLM serves as an advanced platform for AI cost management and observability, specifically designed for engineering teams utilizing production GenAI. It enables transparency in token expenditures across a variety of providers such as OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, and Groq, while also aligning internal usage data with invoices from these providers. Users can filter token-level expenses based on provider, model, feature, team, customer, environment, and other custom metrics, ensuring that each dollar spent has a designated owner. Additionally, the platform includes attribution and chargeback functionalities that correlate usage with product interfaces and customer demographics, facilitating showback processes and allowing for data exports to systems like NetSuite, QuickBooks, CSV, or through APIs. Furthermore, real-time anomaly detection features track spending, latency, and quality, comparing them against dynamic feature baselines, and issue alerts via Slack, PagerDuty, email, or webhooks whenever notable changes occur. To further enhance cost control, optional budget enforcement and auto-throttling measures can prevent excessive spending due to runaway agents, excessive retries, or unexpected model shifts. This comprehensive approach ensures that engineering teams can manage their AI resources effectively while maintaining financial oversight.

Celeris-1 stands out as a swift and versatile language model platform, complemented by a diffusion model that achieves cutting-edge intelligence at unprecedented speeds. Unlike conventional autoregressive models that generate tokens sequentially, Celeris employs a diffusion-based inference architecture that allows for simultaneous generation, resulting in response times that can be measured in mere milliseconds. On the MMLU-Pro benchmark, Celeris-1 boasts an impressive accuracy of 75.9% while achieving a median response time of 158 milliseconds and producing an astonishing 1,664 output tokens per second, positioning it closely to leading models but operating over ten times faster. This powerful model is accessible through an API that is compatible with OpenAI, enabling developers to seamlessly integrate it into existing SDKs and applications with minimal modifications. Additionally, it supports streaming capabilities for real-time applications, allowing for response times as low as 24 milliseconds without any buffering or delays, making it an ideal choice for interactive use cases. Overall, Celeris-1 represents a significant advancement in the efficiency and performance of language models.

Mongrel serves as a comprehensive desktop database systems workbench that integrates over 30 database engines, terminals, file transfers, container management, Kubernetes functionalities, and an API client into a single native application compatible with Windows, macOS, and Linux platforms. You can execute queries on various databases such as PostgreSQL, MySQL, MongoDB, SQL Server, Oracle, Redis, ClickHouse, Snowflake, BigQuery, and others using native SQL or respective engine dialects. The application allows for inline data editing, navigation through foreign keys, running EXPLAIN plans, designing schemas using a visual ER canvas, synchronizing data across different databases, and scheduling encrypted backups with ease. It replaces a multitude of tools by offering built-in SSH, Mosh, Telnet, Serial terminals, as well as SFTP and SCP file transfers, management for Docker and Podman, Kubernetes functionalities, and support for HTTP, GraphQL, WebSocket, and gRPC clients. An optional AI assistant is available, compatible with OpenAI, Anthropic, and Gemini providers, and it securely stores keys in your operating system's keychain while ensuring that all writes are subject to approval. Mongrel is designed to prioritize user privacy, ensuring that your queries, data, and logs remain exclusively on your local machine. All subscription plans provide access to every feature, and you can initiate a 7-day trial without needing to enter any payment information. Additionally, the user-friendly interface and rich functionality make it an essential tool for database management.

Adios.dev is a cloud-based platform designed for developers who are creating contemporary applications and AI-driven software solutions. Developers have the flexibility to initiate their projects using an existing Git repository, a local project, or a template, all while taking advantage of AI in a source-integrated workspace to preview modifications and deploy their applications seamlessly within the same project. The platform is compatible with Next.js and supports a range of full-stack applications, including APIs, workers, WebSockets, workflows, and AI agents. Applications can be deployed effortlessly from either the command-line interface (CLI) or workspace, utilizing an adios.yaml file that organizes build commands, runtimes, health checks, resources, and deployment settings in relation to the source code. Adios.dev efficiently integrates source code management, previews, deployment processes, managed services, logging, health tracking, and release history, allowing developers to transition from development to production smoothly without the need to juggle multiple platforms. Their pricing plans begin at just $10 per month, making it an accessible option for developers looking to enhance their workflow and deployment strategies.

DeskFerry serves as an intuitive platform designed for assembling an AI team simply by articulating your needs in everyday language. It generates AI agents that can seamlessly integrate with the tools your team is already familiar with, facilitating automated tasks across over 1,500 applications without the necessity of coding. These agents possess the capability to read, write, and interact with various services, including Gmail, Slack, Notion, Salesforce, HubSpot, Jira, and Stripe, among others, while users have the option to select from a variety of AI models provided by OpenAI, Anthropic, Google, xAI, and more. Teams can customize agent skills to align with their brand voice, create branded materials, and organize outputs in appropriate tools and formats. Additionally, the platform features scheduling and trigger functions that support automations running on an hourly, daily, or weekly basis, or in response to events within connected applications. To enhance security and oversight, human-in-the-loop mechanisms can be implemented, requiring approval prior to the execution of significant actions, such as sending emails or updating records. Users can enrich the platform's knowledge base by incorporating documents, databases, and URLs, while a memory feature enables automations to remember previous interactions and preferences over time, ensuring a more personalized user experience. This combination of functionality and ease of use makes DeskFerry a valuable asset for teams looking to leverage AI in their workflows.

Solar Pro 4 is an advanced AI model designed to effectively complete real-world tasks such as document analysis, tool execution, and deliverable production, ceasing operations when there is insufficient evidence. This model is specifically tailored for extensive and intricate workloads that span multiple documents, run commands in a terminal, and coordinate numerous tool interactions over several steps. With a remarkable 512K context window and the capacity for up to 128K output tokens, it enables the seamless incorporation of contracts, reports, and data files into a single workflow without the need for division. It can process both input and output in English, Korean, and Japanese, while users have the flexibility to adjust reasoning levels for either in-depth analysis or swift, real-time responses. Designed for precision, Solar Pro 4 maintains accuracy across lengthy documents, multi-turn tool applications, and terminal operations, ensuring that values and conclusions remain consistent throughout sequential deliverables, including Excel spreadsheets, comprehensive reports, and presentation slides. Moreover, its architecture supports collaborative projects by allowing teams to work simultaneously on various aspects of a task, enhancing overall productivity and efficiency.

Bloxks is a comprehensive AI-driven platform that allows users to develop real mobile applications and launch them on platforms like the App Store or Google Play without needing to write any code. By simply describing their vision, users can guide the AI as it constructs the app's architecture, providing suggestions and maintaining user control throughout the creation process. The platform supports the development of fully functional Android applications with adaptive layouts that enhance performance, alongside high-quality iOS applications that ensure seamless operation on both iPhones and iPads. Users can leverage Bloxks to design various types of mobile applications, such as games, dating services, tracking apps, AI-based coaching tools, productivity applications, marketplaces, and many other digital experiences. Additionally, Bloxks simplifies the integration of essential services like payments, databases, AI functionalities, analytics, and notifications by allowing users to incorporate existing API keys, with the platform managing the backend connections. It also supports a variety of useful tools, including Stripe, GitHub, Gemini, Expo, ElevenLabs, Figma, Groq, Claude, OpenAI, Supabase, and RevenueCat, making it a versatile solution for app developers. This rich ecosystem enables users to bring their imaginative ideas to life while ensuring that they have all the resources they need at their fingertips.

Humatron serves as a comprehensive AI workforce platform, transforming AI agents into secure and trusted digital workers that seamlessly integrate with various teams, tools, and business processes. Organizations have the ability to construct, recruit, tailor, train, oversee, and regulate these AI workers from a unified control dashboard, treating them more like digital personnel rather than mere assistants. Each AI worker can leverage advanced core agents, such as Claude, OpenAI, Manus, OpenClaw, Hermes, Cursor, or bespoke agent systems, which grants businesses the flexibility to interchange or update underlying models without altering the workforce layer. These AI workers are capable of operating independently, initiating and completing tasks, collaborating with team members, acquiring new skills, and communicating through established platforms like email, Slack, Teams, Zoom, and phone. The platform allows for the creation of builds that define reusable tools, rules, behaviors, and agent integrations, while each individual worker operates as a distinct instance tailored to meet the specific needs of a company, team, and role. This level of customization ensures that businesses can optimize their AI workforce to align perfectly with their operational goals.

TrustedRouter serves as a privacy-centric AI gateway, enabling developers to interact with over 600 AI models from more than 90 providers via a single API that is compatible with OpenAI. It ensures privacy by routing requests through a verified gateway that refrains from logging any prompt or output data, maintaining a clear separation between the production prompt pathway and the management dashboard, ensuring that even the engineers cannot access the requests made. Developers can seamlessly continue using the OpenAI SDK by simply adjusting one base URL, while they have the flexibility to select either direct model identifiers or routing aliases, which facilitate healthy provider transitions, utilize zero-retention options, ensure secure compute processing, focus on EU-centric routing, and enable multi-model synthesis. Features like provider failover, regional routing, and ongoing model health monitoring are integrated to prevent any single upstream failure from resulting in a service disruption. Operating across major cloud platforms like GCP, AWS, and Azure, TrustedRouter also makes available metrics on latency, availability, source code, deployment infrastructure, SDKs, and trust verification for thorough examination, thus promoting transparency and reliability in its services. This commitment to openness and security builds trust with developers who prioritize privacy in their applications.

When engineering standards live in wikis, tickets, and CI templates, they are difficult to apply consistently across a growing software organization. Earthly Lunar gives platform engineering teams a central way to enforce those standards across different repositories, pipelines, and developer workflows. It gathers evidence from source code and CI/CD execution, normalizes it into a service-level view, and runs deterministic guardrails against that data. A guardrail might require test coverage, an approved dependency, an SBOM, or a deployment check. Teams can introduce policies in a visibility-only mode, surface findings on pull requests, and move to blocking checks when ready. Developers get actionable feedback on proposed changes while platform leaders see adoption across the organization. Lunar includes a library of 200+ guardrails and supports custom policies for company-specific requirements, including lessons from incidents. Continuous results provide a record of what was checked and when, reducing the work of gathering compliance evidence.

Astra for Law serves as an innovative AI platform for legal firms and technology providers, enabling the development of specialized products and workflows that leverage their legal expertise. It integrates the capabilities of GPT-6 Astra with specific settings, tools, and contextual elements designed specifically for the legal profession, including a comprehensive legal search index along with guidance for legal analysis and writing tasks. This platform is capable of searching through U.S. case law, statutes, regulations, court rules, and administrative decisions, drawing from an extensive database of over 230 million URLs that are continuously updated. Its primary function is to identify pertinent authorities and passages, evaluate their relevance and binding nature, and apply this research effectively to various client-related facts, arguments, deal terms, and strategic legal considerations. Additionally, it offers custom instructions that help differentiate between court holdings and ancillary observations, tackle authorities that may undermine an argument, clarify contractual risks, and pinpoint areas of uncertainty. Legal firms can tailor their workflows to align with their own precedents, methodologies, proprietary information, approved sources, and review protocols, ensuring a personalized approach to legal work that enhances efficiency and effectiveness. This level of customization empowers firms to maintain their unique practices while benefiting from advanced AI capabilities.

Cutsio serves as an AI-driven media asset management solution tailored for teams that deal with a significant amount of video content. It allows users to easily ingest media from various sources such as uploads, request links, Google Drive, Dropbox, Photos, and Vimeo. The platform features automated transcription and tagging of objects, people, actions, scenes, and text, enabling users to conduct meaningful searches across every frame. Additionally, it employs audio AI to generate summaries and engage in chat functions that help highlight key selections. Users can organize these selections into Collections, share review links with collaborators, and export projects in FCPXML or EDL formats for use in Final Cut Pro and Resolve. Moreover, it facilitates the publication of approved projects to a portfolio for enhanced visibility and licensing opportunities. The pricing plans include Pro at $59 for 30 hours, Studio at $249 for 150 hours, and an unlimited option for Enterprise users, ensuring flexibility for teams of all sizes.

Junior JR3 is a platform centered around artificial intelligence, designed specifically for the creation, evaluation, and research of legal documents within Microsoft Word and Google Docs. Featuring a document library, it offers tailored workflows, playbooks, skills, sequences, and regulations suited to various legal document categories, empowering firms to incorporate their unique standards, previous work, and specific drafting styles. The architecture of JR3 integrates AI repositories, prompt libraries, agents, writing styles, and training datasets above the core models, enabling teams to seamlessly utilize OpenAI, Anthropic, Google Gemini, or custom models while easily transitioning between them without the need to reconstruct workflows. For those engaged in patent and trademark matters, JR3 provides direct access to real-time data from the USPTO, WIPO, EPO, and both federal and state case law. Additionally, the platform's functionalities encompass support for Office Action responses, drafting tailored to examiners, patent searches, claim charting, appeal briefs, opinion letters, legal memoranda, assignments, NDAs, and several other essential legal documents, ensuring that legal professionals can efficiently manage their tasks. This comprehensive approach not only enhances productivity but also allows for greater accuracy in legal documentation.

telemetry.dev serves as an observability platform that is fully integrated with OpenTelemetry, specifically designed for AI agents and applications involving large language models. It enables developers to monitor various elements such as model calls, tool steps, retrievals, logs, and metrics, while also allowing them to analyze issues relating to failures, latency, token consumption, and projected expenses. Additionally, users can draw comparisons across different models, providers, and environments to gain deeper insights into performance. The platform features native support for TypeScript and Python SDKs, along with integrations for various providers and frameworks, as well as standard OTLP/HTTP ingestion methods. To enhance data privacy and security, it incorporates environment-specific capture controls, SDK masking, and server-side redaction, ensuring that teams can effectively manage the sensitive content associated with prompts, responses, and telemetry data. This comprehensive functionality enables organizations to optimize their AI applications and ensure robust observability across their operations.

BusyLamp is a specialized legal spend management and eBilling solution designed to address the complexities of European legal operations. It enables organizations to manage outside counsel billing with automation, compliance, and detailed financial insights. The platform includes features like automated invoice conversion, which transforms billing data into standardized formats while reducing manual entry and errors. BusyLamp provides real-time dashboards and reporting tools that offer visibility into legal spend, helping teams make informed resourcing decisions. It is built to handle cross-border invoicing, multi-currency transactions, and VAT compliance requirements. The system enhances efficiency by reducing administrative workload and simplifying invoice review processes. BusyLamp also ensures data security with enterprise-grade encryption and compliance certifications. Integration capabilities allow it to connect seamlessly with existing enterprise systems. It offers multilingual support and tailored features for European legal environments. Overall, BusyLamp helps organizations improve cost control, compliance, and operational efficiency in legal spend management.

Multichannel communication platform Clienk allows companies to communicate effectively with their customers. Clienk provides solutions for online conversion, mail and telephony, as well as web chat, proactive chat, social media, and web self-service. It improves customer satisfaction, sales, and trust in your business by allowing you to use one web application. Managers strive to achieve more, even if they are forced to do it with fewer employees. The modern consumer does not accept a lower level of service. How can you solve this problem? Clienk solutions will allow your team to work more efficiently. Our all-in-one app allows you to quickly serve multiple customer contact channels, including chat, Facebook, Wechat and WhatsApp. Sales is all about leveraging momentum. Chat is a great way to reach potential customers when they need you.

Build, test and optimize Generative AI apps that unlock the value in your data. Our industry-leading ML expertise, our state-of-the art test and evaluation platform and advanced retrieval augmented-generation (RAG) pipelines will help you optimize LLM performance to meet your domain-specific needs. We provide an end-toend solution that manages the entire ML Lifecycle. We combine cutting-edge technology with operational excellence to help teams develop high-quality datasets, because better data leads better AI.

Provide customized demonstrations that foster exploration, enhance relationships, and boost business success. Demostack stands out as the sole solution for demo environments, empowering revenue teams with full control, personalization, and valuable insights into product demonstrations. This allows product teams to concentrate on developing exceptional products rather than handling demo setups. Revenue teams—including sales, marketing, customer success, and partnerships—are equipped to convey compelling product narratives that engage audiences, facilitate discussions, and drive revenue expansion. Relying on a standard demo is insufficient for undecided prospects, and waiting weeks for a tailored presentation is not an option. With Demostack, what typically takes weeks is condensed into mere minutes. Effortlessly edit charts to create impactful, data-driven narratives. Customize text, alter colors, reposition and remove components, and swap out images—all without any coding requirement. Ultimately, curate product narratives that resonate deeply and secure more deals effectively. By streamlining the demo process, teams can significantly enhance their chances of closing sales.

Promote authentic student work while tackling even the most advanced forms of misconduct effectively. Equip instructors with efficient tools that simplify the grading process, allowing them to dedicate more time to teaching. Foster the development of students' creative thinking abilities through constructive, high-quality feedback that integrates smoothly into teachers' current workflows. Address the integrity of student submissions and keep pace with new trends in academic dishonesty through this all-encompassing solution. Utilize a contemporary assessment platform that enables the delivery and evaluation of various types of assessments from any location. This powerful plagiarism detection tool is designed to seamlessly integrate into existing academic practices. Recognized as the benchmark for plagiarism checking among scholars and publishers, this tool ensures the highest standards are met. Collaborating with educators around the globe, Turnitin shares innovative and effective instructional strategies. In addition, explore an array of resources, including our blog, teaching tools, comprehensive guides, and white papers, to further enhance educational practices. This holistic approach not only safeguards academic integrity but also enriches the learning experience for students and teachers alike.

Galileo is an AI observability and eval engineering platform designed to help teams evaluate, monitor, guardrail, and improve AI agents and applications. The platform connects the offline testing process with production governance, turning evals into guardrails that can control agent actions, tool access, escalation paths, and safety behavior. Galileo helps teams capture ground truth from synthetic data, development data, live production data, and subject matter expert annotations. Its evaluation capabilities include RAG evals, agent evals, safety evals, security evals, and custom evals that can be tuned to specific environments. Galileo’s Luna models distill optimized LLM-as-judge evaluators into compact models that run at lower cost and latency for production-scale monitoring. The insights engine analyzes traces, prompts, functions, context, datasets, models, and agent behavior to identify failure modes and recommend fixes. Teams can use Galileo to detect hallucinations, tool-selection failures, drift, bias, unsafe outputs, and other reliability issues before they harm production experiences. Deployment options include SaaS, virtual private cloud, and on-premises environments. By combining observability, eval engineering, production guardrails, ground-truth datasets, Luna models, insights, and enterprise deployment options, Galileo helps organizations build more reliable AI systems.

GLTR is designed to utilize the same models that generate counterfeit text as a means for detection. It incorporates the GPT-2 117M language model from OpenAI, which stands out as one of the most substantial models accessible to the public. By taking any given textual input, GLTR evaluates the predictions made by GPT-2 at each position in the text. The output showcases a ranking of all words recognized by the model, allowing us to determine how the actual following word ranks in comparison. Utilizing this positional data, a color-coded mask is applied to the text, reflecting the ranking position of each word. Words that rank among the most probable are shaded in green (for the top 10), yellow (for the top 100), red (for the top 1,000), while the remaining words appear in purple. Consequently, this method provides a clear visual representation of how probable each word is according to the model's predictions, ultimately enhancing our ability to identify potentially fake text. Additionally, this visual tool can help users quickly gauge the authenticity of a given passage.

Whisper is a powerful speech-to-text model created by OpenAI to deliver accurate and reliable audio transcription. It is trained on a large dataset of 680,000 hours of multilingual audio, making it highly robust across different languages and environments. The model performs multiple tasks, including transcription, translation, and language detection within a single system. Whisper uses a Transformer-based encoder-decoder architecture to process audio converted into log-Mel spectrograms. It can generate phrase-level timestamps and handle noisy or complex audio inputs effectively. Unlike many specialized models, Whisper is designed for strong zero-shot performance across diverse datasets. It supports multilingual transcription and can translate speech from various languages into English. The model is open-sourced, allowing developers and researchers to build and customize applications بسهولة. Its flexibility makes it suitable for use cases like voice assistants, transcription services, and accessibility tools. Overall, Whisper provides a scalable and versatile foundation for speech processing applications.

Discover whether the websites you visit include content created by AI. Detect GPT examines the text of the webpage you are currently accessing, evaluating it to determine if any portions have been produced utilizing the GPT language model. This tool can help users understand the origin of the content they consume online.