EEmpromptu.ai provides enterprise AI reliability software for regulated industries like healthcare and finance, focusing on production AI that meets HIPAA requirements and can run inside a private VPC. Its platform supports rapid, multi-project deployments in constrained environments and emphasizes fine-tuned, agentic reliability for complex workflows, with demos and documentation to help teams evaluate fit before rollout. It differentiates itself by targeting measured accuracy and governance in regulated settings, offering enterprise-grade controls and secure deployment rather than consumer-facing AI experiments. Its goal is to enable safe, scalable, and compliant production AI for regulated industries, helping teams deploy trustworthy AI that supports enterprise decision-making.
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Total Funding
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Founded
2024
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Empromptu AI and Eunoia Group have partnered to build an AI and data modelling platform for resilient infrastructure, with a focus on data center projects. The platform will help operators, government agencies, planners, and developers with project planning, capital strategy, environmental impact analysis, and community benefit assessment. It combines 3D mapping with AI-driven reasoning to speed up site evaluation. Land use steps such as permitting, zoning, and environmental review remain fragmented and manual. Custom AI models will keep proprietary data within client infrastructure to meet data sovereignty requirements. The platform will also support financial modelling and fundraising workflows. The partnership will start with projects in the Northeast, where Eunoia has an existing track record. Empromptu recently released Grid Guard, which helps AI data centers manage power volatility. Early deployments cut it by an average of 80%.
AI's physical footprint: Empromptu and Eunoia tackle grid bottlenecks. SAN FRANCISCO, CA - November 03, 2026 - The greatest irony of the artificial intelligence revolution is that a technology built to operate in the ethereal "cloud" is entirely tethered to the physical constraints of the earth. As generative AI models scale, their appetite for compute has triggered a corresponding, insatiable hunger for electricity, land, and water. Today, the primary bottleneck to AI advancement is no longer algorithmic; it is concrete, copper, and community zoning boards. Recognizing this shift, Empromptu AI and Eunoia Group announced a strategic partnership today to launch an integrated AI and 3D data modeling platform. The joint venture is designed to untangle the notoriously fragmented land-use and permitting processes that currently choke the buildout of resilient infrastructure, with a laser focus on AI data centers. By combining Empromptu's proprietary custom AI model training with Eunoia Group's expertise in capital formation and frontier infrastructure, the partnership aims to use AI to solve the very physical bottlenecks its own expansion has created. The AI self-fulfillment loop. The sheer scale of the infrastructure challenge is staggering. Industry projections suggest global AI data centers could require up to 327 gigawatts of power by 2030 if current growth trajectories hold. This unprecedented demand has exposed the fragility of aging electrical grids and the sluggishness of traditional infrastructure planning. To bridge this gap, developers are increasingly turning to "physical AI" and digital twin technologies. The Empromptu-Eunoia platform represents a significant step in this direction, offering a suite of tools that includes immersive 3D mapping visualization, complex financial modeling, and agentic data processing to clean and normalize disparate data sources. For institutional allocators and developers, the ability to run complex financial modeling and fundraising workflows tailored specifically to individual infrastructure projects is a game-changer. Raising capital for a multibillion-dollar AI campus requires precise risk mitigation, and digital twins allow investors to stress-test the economics of a facility against various grid constraints and supply chain shocks before committing funds. Empromptu AI brings a critical piece of the puzzle to the table with its recently released Grid Guard solution. Designed to mitigate the rapid, unpredictable fluctuations in electrical demand caused by AI training and inference workloads, Grid Guard reportedly delivers an average 80 percent reduction in power volatility. It achieves this by predicting short-term load swings and orchestrating workloads - such as staggering batch starts or breaking large inputs into smaller processing steps - to reduce strain on batteries and generators. While independent empirical data verifying the 80 percent figure across diverse deployments remains scarce, the industry consensus is clear: software-based, GPU-level load management is no longer optional. As one energy sector analyst noted, "We cannot simply build enough peaker plants to smooth out the erratic power draw of hyperscale AI. The software must become intelligent enough to manage its own consumption." Navigating the permitting labyrinth. Beyond power, the physical footprint of data centers faces severe sociopolitical friction. Site selection, environmental reviews, and municipal permitting are notoriously manual, adversarial processes. Planners often spend years evaluating candidate sites against a labyrinth of local constraints. "Data center growth is only sustainable if the projects behind it are built responsibly," said Shanea Leven, co-founder and CEO at Empromptu AI. "There's a gap in the market for trustworthy, sovereign AI solutions, and by partnering with someone with a deep understanding of the market like Eunoia Group, we look forward to bringing advanced AI capabilities and data sovereignty to government and private sector infrastructure stakeholders in one platform." The partnership is initiating its rollout in the US Northeast, a region characterized by dense populations, aging grids, and highly stringent environmental regulations. It is a strategic proving ground. Eunoia Group has already established a track record in this region, building tools for next-generation airports, EV fleets, and renewables. If the platform's AI-driven reasoning can successfully navigate the Northeast's complex regulatory landscape, translating fragmented zoning codes into actionable development pathways, it can likely be scaled to any market globally. Beyond nimbyism: software-driven siting. Historically, infrastructure development has often been a zero-sum game between corporate developers and local communities, leading to entrenched "Not In My Backyard" (NIMBY) resistance. The Empromptu-Eunoia platform attempts to reframe this dynamic by integrating AI-powered tools that assess and optimize energy affordability and community benefit frameworks. "By expanding our strategic lens beyond the data center itself to champion an integrated landscape approach, one that overlays critical energy systems, advanced manufacturing, and ecological stewardship with proactive community partnership, we are elevating the digital infrastructure boom into a generational opportunity to cultivate resilient resource ecosystems designed for long-term regional vitality," said Chante Harris, founder of Eunoia Group. The promise here is that predictive modeling can build trust. By using 3D mapping to provide interactive visualizations of a project's environmental context, developers can transparently demonstrate impact to municipal policymakers and environmental advocates before a single shovel hits the dirt. However, critics in the urban planning sphere caution that while software can streamline the analysis of environmental impacts, it cannot replace the necessity of genuine community consent. The true test will be whether these tools foster equitable negotiations or merely accelerate corporate land acquisition by outmaneuvering under-resourced local governments. The imperative of data sovereignty and grid stability. As digital infrastructure becomes increasingly intertwined with national security and critical energy grids, data sovereignty has moved from a buzzword to a strict regulatory requirement. Government agencies and utilities demand that sensitive infrastructure data remain secure and localized. The new platform addresses this by enabling custom AI models to keep proprietary data strictly within client infrastructure. This localized approach is critical for compliance with frameworks like the North American Electric Reliability Corporation Critical Infrastructure Protection (NERC CIP) standards, which govern the security of the bulk electric system, as well as maintaining SOC 2 and HIPAA compliance. "Data sovereignty is critical for our government and industry partners alike, especially for sensitive project data," Harris noted. "Together, we are building a solution that prioritizes keeping proprietary data secure across all digital infrastructure asset classes." This focus on secure, cooperative infrastructure development aligns with a broader industry awakening. Just yesterday, OpenAI launched its "Grid Protectors Program," a national initiative aimed at partnering with utility providers to manage the energy demands of AI compute campuses while protecting consumer electricity costs. The market is realizing that adversarial relationships with grid operators are a dead end. The era of building data centers in a vacuum, isolated from the realities of the physical world, is definitively over. The Empromptu and Eunoia partnership underscores a critical maturation in the technology sector: the realization that to build the future of intelligence, BriefGlance must first master the highly regulated, deeply physical systems that power it. The signal in the noise is clear. The next great AI breakthrough will not just be a smarter language model; it will be the intelligent orchestration of the steel, land, and power required to sustain it. Topics & related. Partnership Joint Venture Digital Twins Generative AI Data Centers Grid Modernization AI & Machine Learning Are you a relevant expert who could contribute your opinion or insights to this article? BriefGlance'd love to hear from you. BriefGlance will give you full credit for your contribution. UAID: 53777
Empromptu AI and Eunoia Group announce strategic partnership to deliver AI platform for resilient infrastructure. New partnership to empower infrastructure developers and data center operators with cutting-edge 3D mapping land use technology and AI-driven reasoning. November 03, 2026 09:00 ET | Source: Empromptu SAN FRANCISCO and NEW YORK, Nov. 03, 2026 (GLOBE NEWSWIRE) - Empromptu AI, the AI research and platform company that builds production-grade AI applications enterprises can trust, scale, and own, today announced a strategic partnership with Eunoia Group, a practice and platform that makes frontier infrastructure buildable, to develop an integrated AI and data modeling platform designed to support the buildout of resilient infrastructure and campuses with a primary focus on data center projects. The platform will equip system operators, government agencies, planners, capital allocators and developers with the ability to optimize project planning, capital strategy, environmental impact analysis and community benefit assessment through cutting-edge 3D mapping technology and AI-driven reasoning. Some of the biggest hurdles larger-scale developments face today are related to land use processes that are fragmented and manual, including but not limited to permitting, site selection, zoning and environmental review. Combining Empromptu's proprietary AI platform for custom model training and data sovereignty capabilities with Eunoia Group's expertise in sustainable and frontier technology innovation and deployment allows planners to evaluate candidate sites against constraints much faster than traditional cycles. "Data center growth is only sustainable if the projects behind it are built responsibly," said Shanea Leven, co-founder and CEO at Empromptu AI. "There's a gap in the market for trustworthy, sovereign AI solutions, and by partnering with someone with a deep understanding of the market like Eunoia Group, we look forward to bringing advanced AI capabilities and data sovereignty to government and private sector infrastructure stakeholders in one platform." The partnership will kick off with Northeast-based projects and partners where Eunoia has already built a track record of building the tools and processes to advance frontier infrastructure. "By expanding our strategic lens beyond the data center itself to champion an integrated landscape approach, one that overlays critical energy systems, advanced manufacturing, and ecological stewardship with proactive community partnership, we are elevating the digital infrastructure boom into a generational opportunity to cultivate resilient resource ecosystems designed for long-term regional vitality," said Chante Harris, founder of Eunoia Group. "Combining Empromptu's platform capabilities and Eunoia Group's systems design, we are taking the first step to build solutions that deliver measurable impact for the most significant aspects of project planning and development for customers across the value chain. Data sovereignty is critical for our government and industry partners alike, especially for sensitive project data. Together, we are building a solution that prioritizes keeping proprietary data secure across all digital infrastructure asset classes." The new integrated platform will provide users with several key capabilities: * 3D mapping technology will be integrated to provide an immersive, interactive visualization of projects and their environmental context. * Custom AI models will keep proprietary data within client infrastructure, enabling compliance with government and institutional requirements for data sovereignty and security. * AI-powered tools will help assess and optimize energy affordability and community benefit frameworks, improving understanding of a project's impact on the communities it serves. * Support for complex financial modeling and fundraising workflows tailored specifically to individual infrastructure projects. * Agentic data processing will advance data cleaning, normalization, and analysis across multiple data sources. Empromptu recently released Grid Guard, a new solution that enables AI data centers to measure AI power volatility, predict short-term load swings, and identify where software control can reduce battery or generator strain and total power cost. Early deployments of Grid Guard have demonstrated an average 80 percent reduction in power volatility without meaningful impact on AI workload performance. To learn more about the pilot, visit https://empromptu.ai/industry/data-centers. About Empromptu AI Empromptu AI is the all-in-one AI platform for physical AI and regulated industries. Headquartered in San Francisco, Empromptu is an enterprise AI platform company that takes organizations from idea to production AI, without rebuilding their stack. The platform integrates everything required to build, run, and continuously improve AI applications in real enterprise environments: an agentic builder and deployment system, automated data preparation, persistent memory and context management, governance and compliance controls, and continuous performance optimization that keeps applications accurate over time. With Empromptu, enterprises can create, train, and own custom AI models built on their proprietary data, reducing reliance on external model providers and significantly lowering inference costs. Empromptu is SOC 2 and HIPAA compliant and deploys to any infrastructure, including AWS, GCP, Azure, and on-premises environments. For more information, visit empromptu.ai. About Eunoia Group Eunoia is a platform for the firms that shape how the physical world gets built. With experience working at the front end of projects, Eunoia was launched to build tools and processes for organizations, allocators, owners, companies, and developers to better understand physical risk, make clearer choices earlier, and design more resilient infrastructure. The firm was founded after years in project and capital formation across next-generation airports, EV fleets, hydrogen, fiber, and renewables, as well as scaling emerging technologies across waste, energy, buildings, carbon, mobility, and water. Work since its launch has included underwriting and diligence systems for institutional allocators, lifecycle tools for next-generation infrastructure operators and investors, and deployment programs across sectors.
Empromptu and Skyrelis partner to help healthcare and other regulated SaaS companies deploy trusted agentic AI. Partnership will give B2B SaaS companies a way to meet strict security and governance requirements without slowing down engineering. September 15, 2026 09:00 ET | Source: Empromptu SAN FRANCISCO and SAN MATEO, Calif., Sept. 15, 2026 (GLOBE NEWSWIRE) - Empromptu AI, the AI research and platform company that builds production-grade AI applications enterprises can trust, scale, and own, and Skyrelis, an enterprise agentic security platform, today announced a strategic partnership to help B2B SaaS companies build and deploy trusted agentic AI for regulated industries. Empromptu enables engineering teams to rapidly build production-ready AI applications and integrate them into existing SaaS platforms. Skyrelis provides the independent runtime security layer that enables enterprise customers to monitor AI agents, enforce organization-specific policies, and govern agent behavior in production. Through this partnership, the companies will first collaborate with healthcare technology providers, digital health innovators, and implementation partners to help organizations deploy AI-enabled healthcare applications with the governance, cybersecurity, and runtime controls required for regulated environments. This includes opportunities aligned with the CMS Rural Health Transformation Program (RHTP), a five-year, $50 billion federal initiative to modernize rural healthcare through AI, telehealth, remote monitoring, cybersecurity, interoperability, and digital health technologies. The goal is to help healthcare software vendors move faster on AI without sacrificing the security and operational confidence healthcare organizations need to deploy it at scale. "Enterprise AI shouldn't force companies to choose between innovation and security, " said Shanea Leven, CEO and Co-founder of Empromptu. "Empromptu helps engineering teams rapidly build production-ready AI applications, while Skyrelis gives security teams the independent runtime controls they need to confidently deploy those applications in highly regulated environments. Together, we're helping SaaS companies deliver enterprise-ready AI without compromising innovation or security." "Every enterprise customer operates under different security and policy requirements, and meeting those requirements should not depend on application rewrites or instruction-based controls," said Jaz Lin, Founder and CEO of Skyrelis. "Skyrelis gives security teams centralized runtime control to apply and enforce policy as agents operate, without requiring changes to the application itself. Together with Empromptu, we can help SaaS companies meet enterprise requirements while letting real customer needs shape where our technologies work together." The next generation of software companies will be defined by whether they can deploy AI that enterprises trust. Doing that will require a new architecture where engineering can innovate rapidly, security can independently govern AI behavior, and enterprise customers can confidently adopt AI in production. Through this partnership, Skyrelis and Empromptu are committed to helping software companies build that future together. About Empromptu AI Empromptu AI is the all in one AI platform for physical AI and regulated industries. Headquartered in San Francisco, Empromptu is an enterprise AI platform company that takes organizations from idea to production AI, without rebuilding their stack. The platform integrates everything required to build, run, and continuously improve AI applications in real enterprise environments: an agentic builder and deployment system, automated data preparation, persistent memory and context management, governance and compliance controls, and continuous performance optimization that keeps applications accurate over time. With Empromptu, enterprises can create, train, and own custom AI models built on their proprietary data, reducing reliance on external model providers and significantly lowering inference costs. Empromptu is SOC 2 and HIPAA compliant and deploys to any infrastructure, including AWS, GCP, Azure, and on-premises environments. For more information, visit empromptu.ai. About Skyrelis Skyrelis is an Agentic Security company providing a centralized, cloud- and framework-agnostic runtime control plane for AI agents. Skyrelis gives organizations one place to see how agents are operating, assess risk, define and enforce runtime policies, monitor and optimize token consumption, and maintain a complete runtime audit trail of agent activity and decisions. Its independent architecture enables policies to be applied by customer, workflow, tenant, or region, with actions allowed, blocked, or escalated in real time without requiring application rewrites. By centralizing runtime visibility, policy control, consumption optimization, and auditability across clouds, models, frameworks, and tools, Skyrelis helps enterprises and SaaS providers operate AI agents safely and efficiently as their AI environments evolve.
Empromptu launches AI software to reduce GPU power spikes. Dubbed Grid Guard August 04, 2026 US-based AI software company Empromptu AI has launched a new platform designed to reduce rapid fluctuations in power demand caused by GPU workloads in AI data centers. Dubbed Grid Guard, the software aims to predict and smooth spikes in electricity demand by coordinating when GPU clusters execute compute-intensive tasks. The company claims that rather than permitting thousands of GPUs to begin processing simultaneously, the platform staggers workloads by between 50 and 200 milliseconds to reduce sudden changes in load. According to Empromptu, the launch was in response to the growing attention on power quality within AI data centers, where increasingly dense GPU deployments can create highly variable electrical demand. Empromptu said early deployments of Grid Guard have reduced power volatility by an average of 80 percent without significantly affecting AI workload performance. The company did not disclose where the software has been deployed or provide independent validation of the results. According to Empromptu, the platform combines four functions. These include forecasting short-term changes in GPU power demand, scheduling workloads to reduce synchronized load spikes, sending demand signals to power infrastructure such as batteries and generators, and analyzing the cost of different workload patterns. The company argues that managing power demand in software could reduce the need for additional electrical infrastructure deployed to absorb short-duration load spikes. "AI data centers are being built at a pace the power grid was never designed to support," said Shanea Leven, CEO and co-founder of Empromptu. "Grid Guard is how we make that buildout sustainable, by making the software smarter about when and how workloads fire." Grid Guard is the first data center-focused product launched by Empromptu. The company, based out of San Francisco, said the software is available immediately. More in AI & analytics.
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Industries
Company Size
11-50
Company Stage
Seed
Total Funding
$2M
Headquarters
San Francisco, CA
Founded
2024
Find jobs on Simplify and start your career today
We update Empromptu's jobs every few hours, so check again soon!Browse all jobs