Find and compare the best On-Premises Artificial Intelligence software in 2026
Sort:
Use the comparison tool below to compare the top On-Premises Artificial Intelligence software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
-
1
Nunar
Hakuna Matata Solutions
Nunar serves as an AI-driven execution platform designed to streamline the pre-ERP phase of logistics operations, encompassing tasks like RFQ ingestion, customs declarations, vendor reconciliation, purchase orders, and shipment tracking. It effectively manages unstructured data from various sources such as emails, PDFs, and scanned documents by organizing and validating the information according to established business rules, subsequently integrating it into current ERP, TMS, and financial systems. Specifically tailored for freight forwarders and logistics companies, Nunar enhances operational efficiency and accuracy. By automating these crucial processes, it allows organizations to focus more on strategic decision-making rather than getting bogged down by manual data handling. -
2
SecureSafety
SecureSafety
SecureSafety is an innovative AI-driven computer-vision platform that transforms standard CCTV cameras into a real-time safety monitoring solution tailored for high-risk industrial environments. By analyzing live video feeds, our AI technology identifies potential hazards instantly, sending immediate alerts to dashboards, smartphones, and wearable devices. Our detection capabilities encompass a variety of critical areas, including compliance with personal protective equipment (PPE) such as helmets and high-visibility vests; detection of unauthorized access in restricted zones; identification of fire and smoke; monitoring for falls and individuals on the ground; counting people to assess overcrowding; evaluating vehicle speed, proximity, and collision risks; as well as recognizing unsafe actions like running or using mobile phones. The system features a centralized dashboard that delivers location-specific alerts with varying response levels, interactive digital floor plans, and comprehensive reporting that meets audit requirements for regulatory compliance. Designed specifically for industries such as offshore oil and gas, aviation, maritime ports, manufacturing, construction, and logistics, it includes specialized functionalities like monitoring moonpools and drill floors. Furthermore, it seamlessly integrates with your existing infrastructure and offers a complimentary pilot program to demonstrate its effectiveness before full deployment. This ensures that organizations can experience the transformative benefits of enhanced safety monitoring without any initial investment. -
3
DeepKeep
DeepKeep
DeepKeep is an advanced security platform designed to assist organizations in the secure development, deployment, and utilization of AI applications, agents, models, and tools for employees. It effectively tackles challenges that conventional security measures are ill-equipped to handle, such as prompt injection, the risk of sensitive data leaks, hallucinations, unsafe outputs, agent misuse, malicious models, and shadow AI practices. The platform ensures the security of the entire AI lifecycle by incorporating features like automated and Vibe AI Red Teaming, a real-time AI Firewall with guardrails, AI Usage Control, an AI Agent Scanner, and comprehensive Model Scanning. These tools empower security teams to detect vulnerabilities ahead of deployment, analyze agent attack surfaces, scrutinize models, oversee employee AI usage, and safeguard AI interactions in live environments. DeepKeep's versatility is evident as it is model-agnostic, multimodal, and equipped with multilingual capabilities. Furthermore, it accommodates various deployment options such as SaaS, private cloud, on-premises, and air-gapped environments, enabling enterprises to secure their AI while adhering to privacy, sovereignty, and regulatory standards. With its robust framework, DeepKeep not only enhances security but also fosters trust in AI technologies across diverse sectors. -
4
MxChat
MxChat
Free version available. Paid:MxChat is a plugin for WordPress that integrates an AI chatbot specifically designed to utilize the content from your own website. You can select from options including OpenAI, Claude, Gemini, Grok, or DeepSeek. There is a free version available on WordPress.org, or you can purchase a one-time lifetime license starting at $69.97 with no recurring fees involved. This provides a cost-effective solution for enhancing user interaction on your site. -
5
DataAgents
DataAgents
DataAgents is an innovative platform designed to seamlessly integrate various business data through the use of artificial intelligence, offering a combination of data integration, transformation, analytics, and autonomous AI agents. This advanced solution collects data from a range of sources including CRM, ERP, accounting, marketing, e-commerce, and analytics systems, converting it into uniform business models for enhanced usability. With the support of AI agents, the platform provides functionality to address natural-language inquiries, track key performance indicators, identify anomalies, conduct automated investigations, and offer actionable recommendations. Furthermore, DataAgents is versatile in its deployment options, available as SaaS, in a private cloud or virtual private cloud (VPC), or installed on-premises to meet the diverse infrastructure and data sovereignty needs of its customers. This flexibility ensures that businesses can optimize their data management regardless of their operational preferences. -
6
Momentus
MultiTV Tech Solution Pvt. Ltd
Momentus has delivered real-time coverage of crucial moments in premier global sports, where every second counts and there's no room for re-editing. No matter what events you have on your calendar, we have successfully managed operations at that remarkable scale. Our expertise ensures that we capture the essence of every pivotal instant without missing a beat. -
7
CambridgeNexus
CambridgeNexus, Inc.
CambridgeNexus (CNEX), located in Boston, is an operator of AI Factory that provides exclusive leasing of bare-metal NVIDIA GB300 NVL72 racks, managing an inventory of over 350 racks housed in Tier III facilities across six US states and Taiwan, with installations typically completed within a timeframe of 75 to 90 days post-contract. Unlike traditional GPU marketplaces or virtualized cloud services, CNEX offers customers full racks that are bare metal, single tenant, and devoid of shared hardware or instances, underpinned by seven operational layers that encompass power, cooling, networking, compute, orchestration, compliance, and customer workload planning. Customers benefit from leasing complete systems, including NVIDIA GB300 NVL72 and NVIDIA Vera Rubin setups, with flexible lease agreements spanning from six months to over five years. The company guarantees a rapid turnaround from contract to installation, achieving a 99.95% uptime SLA, and adheres to stringent security and compliance standards, including SOC 2 Type I, GDPR, and HIPAA certifications, with ISO 27001 and FedRAMP statuses currently in progress. This unique approach not only ensures high reliability but also addresses the specific needs of businesses looking for dedicated AI computing resources. -
8
VeriTrooper
VeriTrooper
VeriTrooper meticulously assesses evidence throughout various AI workflows, while SitRep conducts thorough audits of source materials to identify contradictions, outdated versions, duplicates, and any gaps present. Scout rigorously tests AI-generated answers against verified sources, ensuring that the question, response, verdict, and evidence are all documented accurately. Watchtower plays a crucial role in overseeing production responses by either capturing data or conducting scheduled tests to maintain quality. This software operates directly on the customer's infrastructure, generating findings that can be reviewed and creating portable evidence packages for ease of access. It is important to note that individuals are responsible for interpreting these findings and determining necessary corrections, as the software itself does not provide certification of compliance. The Evaluation Suite, compatible with Windows, macOS, and Linux, is readily accessible to all who request it, delivered through a manual installation process. Currently, the builds available are pre-release versions. The evaluation period spans 14 days from the initiation of the first genuine audit, allowing for five shared runs with a maximum of 200 evaluated items per run, granting users valuable insights into the software's capabilities and performance. -
9
Bright Cluster Manager
NVIDIA
Bright Cluster Manager offers a variety of machine learning frameworks including Torch, Tensorflow and Tensorflow to simplify your deep-learning projects. Bright offers a selection the most popular Machine Learning libraries that can be used to access datasets. These include MLPython and NVIDIA CUDA Deep Neural Network Library (cuDNN), Deep Learning GPU Trainer System (DIGITS), CaffeOnSpark (a Spark package that allows deep learning), and MLPython. Bright makes it easy to find, configure, and deploy all the necessary components to run these deep learning libraries and frameworks. There are over 400MB of Python modules to support machine learning packages. We also include the NVIDIA hardware drivers and CUDA (parallel computer platform API) drivers, CUB(CUDA building blocks), NCCL (library standard collective communication routines). -
10
BytePlus Recommend
BytePlus
Fully managed service that provides product recommendations tailored to the needs of your customers. BytePlus recommend draws on our machine learning expertise to provide dynamic and targeted recommendations. Our industry-leading team has a track history of delivering recommendations on some of the most popular platforms in the world. To engage users better and make personalized suggestions based upon customer behavior, you can use the data from your users. BytePlus recommend is easy to use, leveraging your existing infrastructure and automating the machine-learning workflow. BytePlus recommend leverages our research on machine learning to deliver personalized recommendations that are tailored to your audience's preferences. Our algorithm team is highly skilled and can develop customized strategies to meet changing business goals and needs. Pricing is determined based on A/B testing results. Based on your business needs, optimization goals are set. -
11
Digital Twin Studio
CreateASoft
Data Driven Digital Twin toolset that allows you to Visualize, Monitor, Optimize and Optimize your operation in Real Time using machine learning and artificial intelligence. Control your SKU, Resource, Automation, Equipment, and Other Costs. Digital Twin Shadow Technology - Real-Time Visibility & Traceability Digital Twin Studio®, Open Architecture allows it to interact with a variety of RTLS/data systems - RFID BarCode, GPS PLC, WMS EMR ERP, MRP, and RTLS systems. Digital Twin with AI/Machine Learning - Predictive Analytics, Dynamic Scheduling Predictive analytics in real-time deliver insights via notifications when issues occur before they happen with state-of-the art Digital Twin Technology Digital Twin Replay – View past events and set up active alerts. Digital Twin Studio allows you to replay and animate past events in VR, 3D, and 2D. Digital Twin Live Real-Time Data - Dynamic Dashboards. A drag and drop dashboard builder that allows for unlimited layout possibilities. -
12
edna
edna
edna, a leader in digital communication solutions, is revolutionizing how organizations communicate with consumers. We have been helping companies for over 15 years to use advanced communication technology to facilitate streamlined, programmatic communications via emerging digital channels. -
13
Llama
Meta
Llama (Large Language Model Meta AI) stands as a cutting-edge foundational large language model aimed at helping researchers push the boundaries of their work within this area of artificial intelligence. By providing smaller yet highly effective models like Llama, the research community can benefit even if they lack extensive infrastructure, thus promoting greater accessibility in this dynamic and rapidly evolving domain. Creating smaller foundational models such as Llama is advantageous in the landscape of large language models, as it demands significantly reduced computational power and resources, facilitating the testing of innovative methods, confirming existing research, and investigating new applications. These foundational models leverage extensive unlabeled datasets, making them exceptionally suitable for fine-tuning across a range of tasks. We are offering Llama in multiple sizes (7B, 13B, 33B, and 65B parameters), accompanied by a detailed Llama model card that outlines our development process while adhering to our commitment to Responsible AI principles. By making these resources available, we aim to empower a broader segment of the research community to engage with and contribute to advancements in AI. -
14
OPT
Meta
Large language models, often requiring extensive computational resources for training over long periods, have demonstrated impressive proficiency in zero- and few-shot learning tasks. Due to the high investment needed for their development, replicating these models poses a significant challenge for many researchers. Furthermore, access to the few models available via API is limited, as users cannot obtain the complete model weights, complicating academic exploration. In response to this, we introduce Open Pre-trained Transformers (OPT), a collection of decoder-only pre-trained transformers ranging from 125 million to 175 billion parameters, which we intend to share comprehensively and responsibly with interested scholars. Our findings indicate that OPT-175B exhibits performance on par with GPT-3, yet it is developed with only one-seventh of the carbon emissions required for GPT-3's training. Additionally, we will provide a detailed logbook that outlines the infrastructure hurdles we encountered throughout the project, as well as code to facilitate experimentation with all released models, ensuring that researchers have the tools they need to explore this technology further. -
15
T5
Google
We introduce T5, a model that transforms all natural language processing tasks into a consistent text-to-text format, ensuring that both inputs and outputs are text strings, unlike BERT-style models which are limited to providing either a class label or a segment of the input text. This innovative text-to-text approach enables us to utilize the same model architecture, loss function, and hyperparameter settings across various NLP tasks such as machine translation, document summarization, question answering, and classification, including sentiment analysis. Furthermore, T5's versatility extends to regression tasks, where it can be trained to output the textual form of a number rather than the number itself, showcasing its adaptability. This unified framework greatly simplifies the handling of diverse NLP challenges, promoting efficiency and consistency in model training and application. -
16
PanGu-α
Huawei
PanGu-α has been created using the MindSpore framework and utilizes a powerful setup of 2048 Ascend 910 AI processors for its training. The training process employs an advanced parallelism strategy that leverages MindSpore Auto-parallel, which integrates five different parallelism dimensions—data parallelism, operation-level model parallelism, pipeline model parallelism, optimizer model parallelism, and rematerialization—to effectively distribute tasks across the 2048 processors. To improve the model's generalization, we gathered 1.1TB of high-quality Chinese language data from diverse fields for pretraining. We conduct extensive tests on PanGu-α's generation capabilities across multiple situations, such as text summarization, question answering, and dialogue generation. Additionally, we examine how varying model scales influence few-shot performance across a wide array of Chinese NLP tasks. The results from our experiments highlight the exceptional performance of PanGu-α, demonstrating its strengths in handling numerous tasks even in few-shot or zero-shot contexts, thus showcasing its versatility and robustness. This comprehensive evaluation reinforces the potential applications of PanGu-α in real-world scenarios. -
17
Megatron-Turing
NVIDIA
The Megatron-Turing Natural Language Generation model (MT-NLG) stands out as the largest and most advanced monolithic transformer model for the English language, boasting an impressive 530 billion parameters. This 105-layer transformer architecture significantly enhances the capabilities of previous leading models, particularly in zero-shot, one-shot, and few-shot scenarios. It exhibits exceptional precision across a wide range of natural language processing tasks, including completion prediction, reading comprehension, commonsense reasoning, natural language inference, and word sense disambiguation. To foster further research on this groundbreaking English language model and to allow users to explore and utilize its potential in various language applications, NVIDIA has introduced an Early Access program for its managed API service dedicated to the MT-NLG model. This initiative aims to facilitate experimentation and innovation in the field of natural language processing. -
18
Galactica
Meta
The overwhelming amount of information available poses a significant challenge to advancements in science. With the rapid expansion of scientific literature and data, pinpointing valuable insights within this vast sea of information has become increasingly difficult. Nowadays, people rely on search engines to access scientific knowledge, yet these tools alone cannot effectively categorize and organize this complex information. Galactica is an advanced language model designed to capture, synthesize, and analyze scientific knowledge. It is trained on a diverse array of scientific materials, including research papers, reference texts, knowledge databases, and other relevant resources. In various scientific tasks, Galactica demonstrates superior performance compared to existing models. For instance, on technical knowledge assessments involving LaTeX equations, Galactica achieves a score of 68.2%, significantly higher than the 49.0% of the latest GPT-3 model. Furthermore, Galactica excels in reasoning tasks, outperforming Chinchilla in mathematical MMLU with scores of 41.3% to 35.7%, and surpassing PaLM 540B in MATH with a notable 20.4% compared to 8.8%. This indicates that Galactica not only enhances accessibility to scientific information but also improves our ability to reason through complex scientific queries. -
19
PanGu-Σ
Huawei
Recent breakthroughs in natural language processing, comprehension, and generation have been greatly influenced by the development of large language models. This research presents a system that employs Ascend 910 AI processors and the MindSpore framework to train a language model exceeding one trillion parameters, specifically 1.085 trillion, referred to as PanGu-{\Sigma}. This model enhances the groundwork established by PanGu-{\alpha} by converting the conventional dense Transformer model into a sparse format through a method known as Random Routed Experts (RRE). Utilizing a substantial dataset of 329 billion tokens, the model was effectively trained using a strategy called Expert Computation and Storage Separation (ECSS), which resulted in a remarkable 6.3-fold improvement in training throughput through the use of heterogeneous computing. Through various experiments, it was found that PanGu-{\Sigma} achieves a new benchmark in zero-shot learning across multiple downstream tasks in Chinese NLP, showcasing its potential in advancing the field. This advancement signifies a major leap forward in the capabilities of language models, illustrating the impact of innovative training techniques and architectural modifications. -
20
CODENO
Zynk Software
CODENO is an innovative offering from ZYNK designed to revolutionize the digital transformation of your business. Experience swift enhancements in your operations within just a few weeks by leveraging artificial intelligence and data insights, which unify all your data sources effortlessly. This platform empowers you to boost productivity, refine workflows, and enhance decision-making capabilities for better outcomes. By adopting CODENO, your enterprise can unlock new levels of effectiveness and agility in a competitive landscape. -
21
Profet AI
Profet AI
Profet AI’s No-Code AutoML Platform, which is end-to-end and can be used by manufacturers as their Virtual Data Scientist, provides a complete solution for data analysis. It allows IT/domain experts to quickly build high-quality predictive models and deploy Industrial AI apps to solve their daily production and digitalization challenges. Profet AI AutoML Platform has been widely adopted by leading companies in the world across industries. These include leading EMS, Semi OSAT, PCB design houses, IC design houses, display panel and material solution providers. We use the successful cases of industry leading companies to benefit our customers and implement AI within a week. -
22
AmigoChat
AmigoChat
AmigoChat represents a groundbreaking advancement in AI technology, functioning as a conversational platform that delivers rapid and effective responses. This innovative chatbot not only grants users a higher degree of flexibility but also showcases a variety of conversational skills and a distinctive sense of humor, distinguishing it from other AI companions, such as ChatGPT. The engaging nature of AmigoChat fosters a more enjoyable interaction, making it a preferred choice for those seeking a lively conversational partner. -
23
Carmen Axis Video Application
Adaptive Recognition
The Carmen® Axis Video Application significantly upgrades Axis cameras by integrating sophisticated Automatic Number Plate Recognition (ANPR) and Make and Model Recognition (MMR) features. Users can choose from various deployment methods, including cloud processing through Carmen® Cloud for enhanced scalability and worldwide accessibility, or opt for on-camera processing that guarantees secure and dependable functionality without the need for extra equipment. This application delivers outstanding precision in recognizing license plates across the globe, enabling real-time data collection on vehicles for purposes such as traffic management, security measures, and access control systems. With its ability to seamlessly integrate and offer adaptable licensing arrangements, it serves as a highly effective solution tailored to meet a range of operational requirements. Additionally, the application’s user-friendly interface facilitates ease of use for operators in diverse environments. -
24
AutoAlign Sidecar
AutoAlign
AutoAlign’s Sidecar solutions represent a groundbreaking advancement as the pioneering AI supervisors that engage dynamically with LLMs, enhancing their reliability, compliance, security, and overall effectiveness. As a result, it is now possible to transform every LLM into a more secure, intelligent, and powerful tool. Sidecar stands out as the sole solution with proven capabilities to enhance performance, reliability, security, and safety. By offering the most comprehensive generative AI security, Sidecar enables businesses to utilize safe and effective AI solutions throughout their operations. Consequently, enterprises can now confidently implement generative AI technologies that guarantee positive outcomes, elevate user safety, and maintain strict compliance with industry standards. This innovative approach not only streamlines processes but also fosters a culture of trust and accountability in AI deployment. -
25
QVeris
QVeris AI
QVeris serves as an infrastructure for AI agents tailored for developers, focusing on MCP and skills-oriented agents. It offers a cohesive API that allows users to discover, access, and utilize over 10,000 real-world tools, APIs, and data resources, empowering LLMs and AI agents to analyze, fetch information, and perform real-world tasks efficiently and at scale. This innovative approach significantly enhances the capabilities and versatility of AI applications in various domains.
