Search results for Stack Influence

Naboo is the enterprise context layer for AI agents. It connects to your R&D stack — GitHub, GitLab, Jira, Linear, Confluence, Notion, Slack, Datadog, Splunk — and continuously builds a living understanding of code dependencies, ownership, decision trails, and architectural patterns. At query time, Naboo calculates intent based on the task, system state, user permissions, and history, then feeds execution-ready context to any LLM or agentic framework. Unlike RAG, which retrieves document chunks by similarity, Naboo understands the graph of relationships across your enterprise systems. Results: ~10x improvement in accuracy and token efficiency vs. RAG baselines. Deploys fully on-prem or in your VPC. Zero data leaves your environment. Enforces existing RBAC at the retrieval layer. Used by Global-E (NASDAQ: GLBE) and other enterprise R&D organizations.

Jolly Consulting is a partner marketing consultancy for SaaS and enterprise technology companies. We move beyond "one-size-fits-all" affiliate programs to build customized, scalable partnership ecosystems that drive measurable B2B growth. In the complex world of B2B sales, generic affiliate tactics fail. We provide high-touch, strategic consulting tailored to your specific vertical, combined with proprietary AI automation to execute that strategy at scale. The Jolly Consulting Difference: A Tailored Growth Engine We don't just launch programs; we engineer revenue channels. We analyze your product’s unique sales cycle to design a custom partner acquisition strategy. Whether you need specific industry integrators, MSPs, or thought leaders, we build the solution that fits your market. Our Custom Solutions: Strategic Partner Headhunting: We reject the "wait and see" approach. We utilize custom AI agents to identify and recruit the exact partners your brand needs—from niche Key Opinion Leaders (KOLs) to strategic B2B consultants—at a scale impossible for internal teams. Bespoke Commission Modeling: We design incentive structures that align with your specific business goals. We move beyond simple clicks to reward partners on metrics that matter to you: Pipeline Influence, ACV, and LTV. Attribution & Tech Stack Optimization: We clean up your data to ensure accuracy. We remove low-value "cannibalizing" partners and ensure your tracking infrastructure correctly values the partners driving incremental revenue. Who We Serve We specialize in high-growth B2B SaaS, FinTech, and Enterprise Service providers who require a sophisticated, hands-on approach to partnership strategy rather than a passive, low-touch managed service.

Lycia AI builds AI teammates for a whole company. Lycia AI Office connects to email, Slack, WhatsApp, CRM, ERP and documents, takes tasks from a shared board and delivers finished work 24/7 within the permissions each company sets, with role-based access. Lycia AI Venues is the customer-facing side for shopping malls, airports, hotels, restaurants and events: it answers visitors and guests in 140+ languages on WhatsApp, web chat, voice and kiosks, turns questions into bookings and sales, and with the Lycia Box sensor shows how crowded each area is right now on a digital twin of the venue. Integrations include email, Google Ads, Analytics and Search Console, Meta, WhatsApp Business, Telegram, Stripe, Shopify, WooCommerce, Amazon, Etsy and GitHub, plus custom MCP connections. Customer data stays in the customer's own AWS region, with GDPR and KVKK compliant processing and Amazon Bedrock as the default inference layer. Built by Lycia Teknoloji in Antalya, Türkiye, founded in 2024.

Latent-Sense Technologies Inc. is a core AI research and development company specializing in customizable AI reasoning and Compliance-as-Reasoning solutions. Their mission is to transform advanced AI research in inference, interpretability, and reasoning into practical technologies deployable as standalone agent ecosystems or integrated within existing technology infrastructures. Key Features and Functionality: - Customizable AI Reasoning: Offers tailored AI reasoning solutions adaptable to various industry needs. - Compliance-as-Reasoning Solutions: Provides AI-driven compliance solutions that ensure adherence to regulatory standards through advanced reasoning capabilities. - Integration Capabilities: Designed for seamless deployment as independent systems or within existing technology stacks. Primary Value and User Solutions: Latent-Sense Technologies addresses the growing demand for sophisticated AI reasoning tools that can be customized to specific industry requirements. By offering Compliance-as-Reasoning solutions, they assist organizations in navigating complex regulatory landscapes efficiently. Their technologies enable businesses to implement advanced AI systems that enhance decision-making processes, ensure compliance, and integrate seamlessly with existing infrastructures, thereby driving operational efficiency and innovation.

Miitra Analytics is a comprehensive platform designed to empower community managers by centralizing data from various channels, automating engagement processes, and unlocking new revenue opportunities. By integrating with tools like Slack, Luma, Circle, and HubSpot, Miitra provides a unified view of community activities, enabling managers to track member engagement, identify trends, and implement targeted strategies without the need for multiple tools. Key Features and Functionality: - Data Centralization: Aggregate community data from events, social platforms, and communication channels into a single dashboard for streamlined monitoring. - Automated Workflows: Simplify member onboarding, engagement, and retention through customizable automation, allowing teams to scale efforts efficiently. - AI-Powered Member Enrichment: Enhance member profiles with AI-driven insights, including activity history, employment details, and social influence metrics. - Advanced Segmentation: Create dynamic member groups based on behavior and preferences to deliver personalized experiences. - AI Content Creation: Utilize AI tools to generate tailored, professional messages and content, saving time and maintaining consistent communication. - Monetization Tools: Manage sponsorships, paid memberships, and monetized events with analytics to optimize revenue streams. - Comprehensive Analytics: Access robust analytics to track key metrics, evaluate engagement, and uncover trends for informed decision-making. Primary Value and Solutions Provided: Miitra Analytics addresses the challenges of community management by offering a centralized platform that simplifies data aggregation, automates routine tasks, and provides actionable insights. This enables community managers to focus on fostering meaningful connections, enhancing member engagement, and driving growth without the burden of manual processes. By leveraging AI and automation, Miitra helps communities scale effectively, maintain high engagement levels, and explore new monetization avenues, ultimately transforming community management into a strategic asset for organizations.

ISO-Gruppe is a versatile IT partner offering both standard and customized software solutions across various industries. With over 40 years of experience, they specialize in software development, IT consulting, and infrastructure services, ensuring precise and reliable support throughout all project phases. Their expertise spans sectors such as aviation, data quality, travel, public services, automation, and medical technology. As an Atlassian Gold Solution Partner, ISO-Gruppe provides comprehensive services for Atlassian products, including consulting, implementation, migration, and support, helping organizations optimize their processes and enhance efficiency. , [iso-gruppe.com] Key Features and Functionality: - Software Solutions: Development of both standard and customized software tailored to diverse industry needs. - IT Consulting: Comprehensive consulting services from analysis to implementation, covering various technology stacks. - Infrastructure & Services: Customized hosting, application support, and reliable service desk solutions. - IT Recruitment: Provision of skilled IT professionals to meet specific project requirements. - Atlassian Services: Expertise in implementing, configuring, and maintaining Atlassian tools like Jira, Confluence, and Jira Service Management. Primary Value and Solutions Provided: ISO-Gruppe delivers innovative IT solutions that drive business success by enhancing operational efficiency and streamlining processes. Their cross-industry expertise allows them to understand and address unique challenges, offering tailored solutions that foster growth and competitiveness. By leveraging their deep knowledge of Atlassian products, they assist organizations in optimizing team collaboration, project management, and service delivery, ensuring seamless integration and maximum value from their IT investments. , [iso-gruppe.com]

emberos is an agentic operating system for AI brand orchestration that enables enterprises to monitor, influence, and prove how their brands are represented inside large language model environments such as ChatGPT, Gemini, Claude, Perplexity, and Grok. As AI increasingly replaces traditional search as the primary entry point for information discovery, the platform restores brand control through a five-agent architecture. Scout monitors 50+ AI models for brand mentions, visibility shifts, misinformation, and competitor overlap in real time. Pilot simulates "Fix Packs" that predict the ROI of visibility improvements with 70%+ accuracy, tied to financial KPIs like pipeline lift. Flow automates closed-loop workflows, applies changes inside existing tools such as HubSpot, Slack, and Jira, and verifies measurable lift. Merchant optimizes how individual products and SKUs surface in AI shopping and recommendation environments. Echo ensures truth, provenance, compliance, and audit integrity across all AI channels, with support for GDPR and CCPA requirements. The platform introduces two standardized metrics for AI visibility: Share-of-Prompt (SoP), which quantifies how often a brand surfaces in AI-generated answers with pipeline impact estimates, and the Tiered AI Visibility Index (TAVI), a three-tier scoring framework measuring direct, competitive, and contextual visibility. A proprietary Brand Knowledge Graph containing 1,000+ brand insights powers prediction accuracy with a compounding network effect. Additional capabilities include C-suite dashboards for non-technical risk and performance reporting, crisis response automation with pre-set safeguards for PR and legal teams, and multi-language support for international AI governance. emberos serves enterprises in marketing, retail, e-commerce, entertainment, media, financial services, advertising, B2B technology, consumer brands, and PR and communications. Enterprises using the platform have doubled their AI query presence and achieved 3–6x stronger conversion compared to comparable search traffic. Pricing is custom across Essentials, Growth, Enterprise, and Agency tiers, available via web and API.

The AISE TensorFlow 1.8 Python 2.7 CUDA 9.1 Production is a pre-configured and fully integrated software stack designed for machine learning and deep learning applications. It combines TensorFlow 1.8, Python 2.7, and CUDA 9.1 to provide a stable and tested execution environment optimized for NVIDIA GPUs. This setup is ideal for training, inference, and running API services, and can be seamlessly integrated into continuous integration and deployment workflows. Key Features and Functionality: - Pre-configured Environment: The stack includes TensorFlow 1.8, Python 2.7, and CUDA 9.1, eliminating the need for manual installation and configuration. - GPU Optimization: Designed to leverage NVIDIA GPUs, it ensures high-performance execution of machine learning tasks. - Production-Ready: Provides a stable and tested environment suitable for both short and long-running tasks, including training, inference, and API services. - Integration Capabilities: Easily integrates into continuous integration and deployment workflows, facilitating streamlined development and deployment processes. Primary Value and Problem Solved: This product addresses the complexities associated with setting up a machine learning environment by offering a ready-to-use, optimized stack. Users can focus on developing and deploying machine learning models without the overhead of configuring and maintaining the underlying infrastructure. The integration with NVIDIA GPUs ensures efficient processing, making it suitable for high-performance tasks in production settings.

Confluence Global is a consulting firm specializing in integrating Salesforce with Atlassian products, such as Confluence and Jira. They offer tailored solutions to enhance collaboration, streamline workflows, and improve data accessibility across platforms. Key Features and Functionality: - Salesforce and Confluence Integration: Seamlessly embed Salesforce records, reports, and dashboards into Confluence, providing teams with real-time customer data without switching platforms. - Salesforce and Jira Integration: Connect Salesforce Service Cloud with Jira to improve coordination between support and development teams, ensuring efficient issue resolution and enhanced customer satisfaction. - Salesforce and Slack Integration: Facilitate collaboration by integrating Salesforce with Slack, allowing teams to access and share Salesforce information directly within Slack channels. Primary Value and Solutions Provided: Confluence Global addresses the challenge of siloed information by integrating Salesforce with key collaboration tools. This integration enhances team productivity, ensures data consistency, and provides a unified view of customer information. By bridging the gap between sales, support, and development teams, Confluence Global enables organizations to deliver superior customer experiences and make informed business decisions.

InfraBase.ai is a comprehensive directory designed to assist developers, businesses, and AI enthusiasts in discovering and comparing a wide range of AI infrastructure tools and services. By curating an extensive list of products across various categories, InfraBase.ai simplifies the process of identifying the most suitable solutions for AI projects, enabling users to build world-class AI applications efficiently. Key Features and Functionality: - Vector Databases: Explore platforms like Zilliz, Epsilla, and Myscale, which offer scalable and efficient vector database solutions essential for applications requiring rapid and accurate vector similarity searches. - Prompt Engineering: Utilize tools such as Klu and Dendrite to collaborate on prompts, optimize large language model (LLM)-powered applications, and enhance AI agent development. - Observability & Analytics: Access solutions like Braintrust and Humanloop that provide insights into cost, performance, and feedback, enabling confident development of AI features. - Inference APIs: Leverage platforms such as Monster API and Cohere to deploy and fine-tune LLMs at scale through accessible APIs. - Frameworks & Stacks: Discover open-source projects like LlamaIndex, Haystack, and LangChain, designed to streamline the development and deployment of LLM-powered applications. - Fine-Tuning: Utilize services like Modal, Replicate, and together.ai to run, fine-tune, and deploy generative AI models efficiently. - Audio: Explore generative AI audio models that create realistic text-to-speech voices and music, enhancing user experiences with audio interactions. - Agents: Find tools and frameworks to build and orchestrate AI agents capable of performing tasks independently or alongside other AIs and humans. Primary Value and Problem Solved: InfraBase.ai addresses the challenge of navigating the rapidly evolving AI infrastructure landscape by providing a centralized, curated directory of tools and services. This resource empowers users to make informed decisions when selecting AI infrastructure components, ultimately accelerating the development and deployment of AI applications. By offering detailed information and comparisons across various categories, InfraBase.ai simplifies the process of identifying the most suitable solutions for specific AI project needs.

dstack is an open-source control plane designed to streamline GPU provisioning and orchestration for machine learning (ML) teams. It offers a unified interface to manage development, training, and inference workloads across various environments, including cloud platforms, Kubernetes clusters, and on-premises infrastructure. By integrating seamlessly with diverse hardware and open-source tools, dstack enhances operational efficiency, reduces costs by 3–7 times, and mitigates vendor lock-in. Key Features and Functionality: - Unified GPU Orchestration: Provides a single control plane to manage GPUs across cloud services, Kubernetes, and on-premises setups, facilitating consistent and efficient operations. - Native Cloud Integration: Automates the provisioning and management of virtual machine clusters through direct integrations with leading GPU cloud providers, optimizing resource utilization and minimizing administrative overhead. - On-Premises Compatibility: Supports integration with existing on-premises clusters via Kubernetes backends or SSH fleets, enabling quick and straightforward connections to dstack's orchestration capabilities. - Development Environments: Facilitates the connection of desktop integrated development environments (IDEs) to powerful cloud or on-premises GPUs, enhancing the development and debugging process for ML engineers. - Task Management: Simplifies the transition from single-instance experiments to multi-node distributed training by allowing the definition of complex jobs through straightforward configurations, with dstack handling scheduling and orchestration. - Scalable Service Deployment: Enables the deployment of models as secure, auto-scaling endpoints compatible with OpenAI, utilizing custom code, Docker images, and serving frameworks. Primary Value and Problem Solved: dstack addresses the complexities associated with managing AI infrastructure by providing a unified, open platform for GPU orchestration. It streamlines the entire ML lifecycle—from development and training to inference—across diverse environments and hardware configurations. By reducing operational costs and preventing vendor lock-in, dstack empowers ML teams to focus on innovation and research without the burden of infrastructure management.

Numerata is a full stack platform for training and running your own private AI models: GPU compute, training, and inference, engineered end to end to run on infrastructure you control.

The MXNet 1 Python 3.6 CPU Production environment is a pre-configured software stack that integrates Apache MXNet, an open-source deep learning framework, with Python 3.6. This setup offers a stable and tested execution environment optimized for CPU-based tasks, facilitating efficient training, inference, and deployment of deep learning models. It is designed to seamlessly integrate into continuous integration and deployment workflows, making it suitable for both short and long-running high-performance tasks. Key Features and Functionality: - Pre-configured Environment: Combines Apache MXNet with Python 3.6, providing a ready-to-use platform for deep learning applications. - CPU Optimization: Tailored for CPU-based computations, ensuring efficient performance without the need for GPU resources. - Integration Capabilities: Easily integrates into existing continuous integration and deployment pipelines, streamlining the development and deployment process. - Versatility: Suitable for a range of tasks, from training and inference to serving as an API service, accommodating various deep learning workflows. Primary Value and User Solutions: This environment addresses the need for a reliable and efficient platform for developing and deploying deep learning models without the complexities of manual setup. By offering a pre-configured stack optimized for CPU usage, it enables users to focus on model development and deployment, reducing setup time and potential configuration errors. Its integration-friendly design ensures that it can be seamlessly incorporated into existing workflows, enhancing productivity and facilitating the rapid deployment of machine learning solutions.

IBM Sovereign Core delivers a cohesive, ready-to-run sovereignty software stack, combining an AI control plane, continuous compliance evidence and governed agentic workflows across hybrid environments. It provides customer-operated control planes for direct authority over operations and configuration, with in-boundary identity, access and key management. Built on an open architecture, IBM Sovereign Core provides portability across environments and enables organizations to deploy and operate AI models, inference services, agents and application workloads within their sovereign environment.

PyTorch CPU MKL Production is a pre-configured and fully integrated software stack that combines PyTorch, an open-source machine learning library, with the Python programming language. Designed for high-performance tasks, this stack is optimized for CPU usage, making it suitable for both short and long-running machine learning workloads. It offers a stable and production-ready environment, ensuring long-term support and regular updates. Key Features and Functionality: - High-Performance Execution Environment: Optimized for training and inference tasks on CPU, providing efficient performance for machine learning applications. - Integrated and Tested Software Packages: Includes carefully integrated and tested software components with new features and bug fixes, ensuring reliability and up-to-date functionality. - Stability and Long-Term Support: Offers a stable environment with long-term support and regular updates, making it suitable for production use. Primary Value and User Solutions: PyTorch CPU MKL Production simplifies the deployment of machine learning models by providing a ready-to-use, optimized environment. Users can focus on developing and training models without the overhead of configuring and maintaining the underlying infrastructure. This solution addresses the need for a reliable, high-performance CPU-based platform for machine learning tasks, ensuring stability and efficiency in production settings.

Confidential AI is infrastructure for running AI privately. Teams that need to run models on sensitive data, prompts, or proprietary weights face a gap: data is protected at rest and in transit, but exposed while the model runs. Confidential AI closes that gap with hardware-encrypted execution. Inference runs inside confidential VMs on Intel TDX and AMD SEV-SNP, with NVIDIA GPUs in confidential mode. Before the first token is sent, the client verifies the model, the code, and the hardware through attestation, and can check the live production cluster in the browser with no signup. The inference API is OpenAI-compatible. DeepSeek V4.1 Flash is live at $0.30 per 1M input tokens, $0.03 cached, $1.20 output. Confidential VMs are available as cloud GPU VMs (B300 $7.50, B200 $6.50, H100 $3.25 per GPU-hour), and the same stack is licensed to run on your own infrastructure, including confidential Kubernetes for model serving, private model weights, and private training and fine-tuning. Agents run on this infrastructure as a workload: teams bring their own agent and run it where the operator cannot read memory in use.

Privasapien is a global pioneer in full stack “Data in Use” protection with Privacy and Security products across different stages of enterprise data, AI and agentic ecosystems. PrivaSapien’s platform offers one stop solution across Privacy and Responsible AI requirements, including provable Consent, Data Subject Rights work flow management, Privacy Threat Modeling, Augmented DPIA, Privacy Enhancing Technologies like Expert Anonymization, Pseudonymization, Synthetic Data, Differential Privacy, Homomorphic Encryption, ZKP, Pseudonymous Inference, AI Red Teaming, AI Impact Assessment, Gen AI, RAG, Agentic Security & Privacy and AI Governance.

RAG Engine is an AI infrastructure platform designed to transform enterprise data into intelligent, searchable applications. It offers a comprehensive suite of tools for production-grade retrieval-augmented generation (RAG), integrating hybrid search capabilities, neural reranking, and knowledge graph entity extraction into a single managed solution. With support for over 50 data sources, including Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, RAG Engine enables seamless deployment of AI chatbots across platforms like websites, Slack, and Microsoft Teams. Trusted by enterprises, it ensures compliance with SOC 2 and GDPR standards and supports over 100 languages. Key Features and Functionality: - Hybrid Search: Combines BM25 and dense vector search methodologies to deliver precise and relevant search results. - Neural Reranking: Utilizes cross-encoders to enhance the relevance of search outcomes by reordering results based on contextual understanding. - Knowledge Graph Entity Extraction: Identifies and structures entities within data to build comprehensive knowledge graphs, facilitating advanced data relationships and insights. - Extensive Data Source Integration: Supports integration with over 50 data sources, including popular platforms like Google Drive, Notion, Slack, Confluence, Salesforce, and various databases, ensuring a unified data ecosystem. - Multi-Platform Deployment: Enables rapid deployment of AI chatbots on websites, Slack, and Microsoft Teams, enhancing user engagement and support capabilities. - Enterprise-Grade Compliance: Adheres to SOC 2 and GDPR standards, providing robust security and privacy measures for enterprise applications. - Multilingual Support: Offers support for over 100 languages, catering to a diverse global user base. Primary Value and User Solutions: RAG Engine addresses the challenge of transforming vast and diverse enterprise data into actionable intelligence. By integrating advanced search and retrieval technologies with seamless data source connectivity, it empowers organizations to build intelligent applications that enhance decision-making, improve customer interactions, and streamline operations. Its compliance with industry standards ensures data security and privacy, making it a reliable choice for enterprises aiming to leverage AI without compromising on regulatory requirements.

We build smart apps for Atlassian Jira, Confluence & Bitbucket — to accelerate teams worldwide. WE ARE HIRING! At Midori, our mission is to make the world's best teams efficient with the Atlassian stack. We help them discover space, find a cure for cancer, build self-driving cars, and re-invent the travel industry. We succeed in these primarily because we have a team of truly exceptional people. We're right now busy with launching our new set of apps hosted in the Amazon cloud infrastructure. To ship those faster, we're looking for full-stack Java developers to join our team. Are you curious? Love building stuff? Check: http://www.midori-global.com/company/jobs/

TectoAI is an AI governance platform designed to help enterprises discover, evaluate, and monitor third-party AI tools. By providing a single platform for oversight, TectoAI enables organizations to gain visibility into their AI usage, reduce operational and compliance risks, and ensure that all AI tools meet internal and external regulatory standards. The platform streamlines the process of adopting AI by offering structured insights and smarter evaluation tools, making it easier for companies to identify which parts of their workflow are ready for AI integration. TectoAI matches organizations with AI tools that best fit their operational, risk, and compliance requirements, and provides detailed profiles—like 'resumes'—for each tool, including capabilities, certifications, risks, and policies. Once an AI tool is in use, TectoAI continuously monitors its real-world behavior, flagging issues such as model drift, hallucinations, cascading failures, and compliance risks as they arise. The platform also keeps users informed about AI-related failures, lawsuits, and regulatory actions, ensuring that organizations can learn from the broader ecosystem and stay ahead of emerging risks. TectoAI’s solution is especially valuable in a rapidly evolving regulatory landscape, offering timely alerts and practical guidance to keep AI stacks aligned with the latest rules and best practices. Built by engineers with deep experience in AI safety and compliance, TectoAI aims to bring the same level of structure and oversight to AI 'employees' as HR does for human workers, enabling enterprises to trust, verify, and scale AI with confidence. Key Features and Functionality: - AI Control Room: A centralized dashboard for all deployed AI tools and models, monitoring agent updates, new feature releases, and major incidents both internally and externally. - Discovery: Analyzes SSO and access logs to identify authorized and unauthorized AI usage, revealing hidden tools, unmanaged AI activity, and unusual access patterns. - AI Tool Library: A comprehensive catalog of AI vendors with full diligence reports, including security, privacy, and risk assessments, tailored for regulated industries. - Tecto Detector: Detects, redacts, and replaces Personally Identifiable Information (PII) and Sensitive Personal Information (SPI) using pattern recognition and contextual inference, operating fully on-premise to ensure data privacy. - Data Privacy and Local Control: Maintains absolute data sovereignty with on-device PII redaction, ensuring sensitive information never reaches a third-party model. - Enterprise-Grade Governance Features: Includes essential institutional controls such as SAML SSO, audit-ready logs, and unified WORM-compliant storage. Primary Value and Problem Solved: TectoAI addresses the growing challenge companies face in managing the complexity and unpredictability of AI tools in regulated environments. By providing structured insights, real-time monitoring, and policy alignment, TectoAI helps organizations confidently scale AI adoption while minimizing operational and compliance risks. The platform ensures that AI tools are used responsibly, data privacy is maintained, and compliance with evolving regulations is achieved, ultimately transforming unmanaged risks into competitive advantages.