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Acceldata provides a data observability platform that helps data teams improve data reliability, reduce costs, and manage large data infrastructures. It uses machine learning-driven automation to monitor data health and operational performance, delivering actionable insights. Key features include Spend Intelligence (cuts data platform costs), Data Reliability (speeds up quality checks), and Operational Intelligence to prevent critical severity-1 issues. The platform is offered on a subscription model for business customers and aims to maximize the value of data investments by ensuring data is reliable, affordable, and ready for decision-making, especially for teams managing complex data stacks and transitions to open-source technologies.
Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$105.6M
Headquarters
San Jose, California
Founded
2018
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Acceldata, a provider of data management and AI platforms, is expanding its operations in Europe to meet growing demand for its xLake platform. The company's technology enables enterprises to use data across multiple storage systems for AI projects without consolidating everything into one location, whilst maintaining data sovereignty and governance requirements. The firm has made several senior appointments to support its European expansion, including Ali Afsar as Senior Vice President of Data Strategy and Colin Fernandes as Director of EMEA Market Development. Acceldata already serves major global enterprises, including seven of the top twelve banks and four of the top ten life sciences companies. The company processes over one trillion data events daily for its customers. Research commissioned by Acceldata found that 80% of enterprises run hybrid data infrastructures, whilst 75% operate four or more data platforms in production.
Acceldata expands operations in Europe to support rising demand for its cross-lake approach to Data & AI. CAMPBELL, CALIFORNIA / LONDON, UK - July 23, 2026 - Acceldata, the market leader in agentic data management and provider of xLake Autonomous Data & AI platform, announced its expansion in Europe in response to enterprise customer demand to implement AI data projects at scale, while still meeting sovereignty requirements and data control priorities. Acceldata's xLake data platform supports enterprises that are carrying out data and AI transformation projects. With huge volumes of data spread across different data warehouses, lakehouses, cloud, and data lakes, companies cannot undertake multi-year migration projects in order to activate all their enterprise data for agentic AI. These companies need this data to work with their AI without consolidating all these stores into one place. Acceldata's xLake (cross-lake) platform enables enterprises to leverage all their data as one seamless substrate, while respecting governance, data residency and data sovereignty requirements. Acceldata supports hybrid and cloud deployments, helping enterprises run AI as part of their infrastructure strategy. The platform's open source foundation and support for sovereign deployment also ensures that enterprise teams stay in control of their future approach, rather than being locked into one vendor or cloud provider. The company already supports customers processing more than one trillion data events daily, covering large enterprises in multiple industries: * Seven of the top twelve banks * Four of the top ten life science companies * Three of the top five telecoms operators * Three of the top five global consumer packaged goods companies Acceldata has significantly expanded its customer base in Europe and the company's footprint across EMEA, ahead of accelerating growth throughout the region during the rest of the year. To support this, Acceldata has recruited accomplished executives from leading companies. Ali Afsar joins Acceldata as Senior Vice President, Data Strategy. Ali has more than 25 years' experience leading data management and analytics programmes for HSBC, and he will bring his expertise in delivering strategic data implementations projects to global 2000 customers. Acceldata also appointed Colin Fernandes as Director of EMEA Market Development & Global Sales Enablement to lead the company's EMEA go to market and business operations. Prior to Acceldata, Colin held similar roles at Sumo Logic and VMware. Justyn Goodenough serves as Vice President, EMEA, and continues to expand the team with several new hires into the field team. Acceldata will showcase the latest developments in the xLake Autonomous Data and AI platform and its work with customers and partners at their flagship event at Autonomous London on 17th September, 2026. This event [https://go.acceldata.io/autonomous-26-london] will bring together customers that have already started at scale deployments of enterprise AI along with industry experts, analysts, and partners. "Enterprises realize that embarking on a multi-year data migration effort when the world is changing every six months is a recipe for getting left behind. They want AI to work with their data - now - and do that with governance controls, at the right cost, while maintaining architectural flexibility" said Rohit Choudhary, Founder and CEO, Acceldata. "Alongside these challenges, enterprise IT teams also have to consider sovereignty, how this might affect their companies in future and how to prevent potential risk. Acceldata's xLake Data & AI Platform solves these problems, letting enterprises deliver AI and work with data where it is. For European enterprises, delivering on AI promises while supporting data sovereignty, jurisdiction-aware architectures, insights into the costs and value delivered around AI execution is rapidly becoming a board-level imperative." A May 2026 research by GLG on behalf of Acceldata covering C-level executives at Fortune 1000 and Global 2000 companies with revenue greater than $5 billion surfaced several important insights. 80 percent of enterprises run hybrid data infrastructures across data warehouse and data lakehouse environments. Three-quarters (75 percent) operate four or more data platforms in production, while 43 percent of enterprises have at least some Hadoop workloads still in place, and 47% reported cross-lake governance as one of the biggest challenges to AI. "For enterprise AI leaders, the focus right now is on proving that business cases can be met. This comes down to two areas: getting the technical infrastructure correct so that enterprises can use their data effectively with AI projects, and delivering more accurate information on the costs to run agentic AI projects," said Ali Afsar, SVP Data Strategy, Acceldata. "Acceldata's xLake architecture helps teams with data observability, building data products, and AI projects for their companies, while supporting hybrid deployments and sovereignty requirements." Acceldata's approach to data with xLake is based on bringing runtime compute, governance, and data quality to where the data resides. This prevents needless movement of data across cloud and hybrid environments, while getting better levels of support and performance than provided by lakehouse architectures. By supporting federated data across multiple locations, including on-premise data centres and hybrid deployments through to multi-cloud environments, Acceldata customers can run their AI next to their data and use the AI model that is the most efficient and cost-effective for a task. As part of its xLake platform, Acceldata supports customers around the following areas: * xLake Control Plane - Applications and products that operate across data lakes * Data and AI Observability - tracks data pipelines and data lifecycle across data and AI projects * Agentic Data Management - Builds and manages intelligent agents to automate and optimise data operations. * Agentic Data Engineering - Orchestrates and runs data pipelines with intelligent agents and automated workflows. * Data Warehousing, Streaming and ML / AI Applications * xLake Runtime * Runs Data & AI workloads and Agents where the data resides. * Enterprise Context and Management for AI and Agents * Governance and Secure Access * Support for multiple deployment options - Hybrid, On-Premise, Virtual Private Cloud About Acceldata. Acceldata is the company pioneering Agentic Data Management and xLake Autonomous Data and AI platform, helping enterprises build trusted data foundations for analytics, AI, and business operations. With deep capabilities in data observability, data quality, and intelligent data operations, Acceldata enables organizations to proactively manage data across complex hybrid and cloud environments.
Acceldata launches hybrid-native platform for enterprise AI. Acceldata launched the platform to help enterprises run AI and analytics across distributed data environments. MAY 21, 2026, 12:05 AM Key Takeaways What actually matters. Acceldata has launched a platform to support AI workloads across diverse data environments, addressing challenges in governance and infrastructure. The platform targets enterprises using cloud, on-premises, hybrid, and sovereign infrastructures amidst growing operational complexity. Acceldata has launched an autonomous data and AI platform to help enterprises run AI workloads across distributed data environments, as companies face growing challenges in governance, infrastructure readiness, and fragmented systems. The platform is now available globally and targets enterprises operating across cloud, on-premises, hybrid, and sovereign infrastructure. The launch comes as enterprises expand AI adoption but struggle to scale systems built on fragmented data architectures. Acceldata said the platform introduces a new compute model that allows analytics and AI agents to operate on enterprise data wherever it resides. Built on the company's xLake architecture, the platform routes workloads across infrastructure, enforces governance, and manages data quality in hybrid-native environments.
Acceldata partners with ServiceNow to bring high quality data to enterprise AI Agents. May 6, 2026 Press play to listen to this content CAMPBELL, Calif., May 6, 2026 - Acceldata has announced a partnership with ServiceNow as part of its Workflow Data Fabric ecosystem. The partnership helps enterprises strengthen trust in the data powering workflows and AI while bringing richer incident context into ServiceNow to help accelerate resolution. As enterprises connect data from modern data platforms and on-premise systems into broader workflows and AI built on the ServiceNow platform, a single data issue can ripple through enterprise workflows and cause significant downstream business impact. This makes it harder to isolate the underlying problem and resolve it quickly, increasing the risk of disruption to business-critical workflows. It also highlights the importance of clear visibility into data health across these environments. Acceldata already connects to and observes many of the modern data platforms that feed the broader Workflow Data Fabric ecosystem, monitoring the health, quality, and reliability of data across those environments. Through its integration with the ServiceNow Data Catalog (formerly data.world), Acceldata now synchronizes data quality and reliability scores directly to cataloged data assets. This enables business and technical teams to clearly understand the health and trustworthiness of their data within the context of business metadata and governance workflows. Users can see the policies and rules that identify and flag issues and seamlessly drill down into detailed diagnostics through deep links to the Acceldata platform. Beyond visibility, AI Agents on the ServiceNow platform can automatically consume data assets that have been tagged and approved for use - ensuring they always operate on data that meets the right quality thresholds. This bi-directional integration ensures shared visibility into data quality signals where teams already work, while giving AI the trusted inputs it needs to act with confidence. In addition, Acceldata identifies underlying data reliability issues and passes the most relevant incident context to ServiceNow to accelerate triage and remediation. The integration also helps reduce unnecessary ticket volume, provides visibility into downstream business impact, and accelerates resolution. "Enterprises are moving quickly to connect data, workflows, and AI, but trusted action depends on trusted data," said Rohit Choudhary, Founder and CEO of Acceldata. "By partnering with ServiceNow as part of its Workflow Data Fabric ecosystem, we can help customers bring greater visibility into the health and trustworthiness of their data, understand downstream business impact, and accelerate resolution with richer operational context." "Workflow Data Fabric is designed to help organizations connect data across systems, add business context, and power more intelligent workflows - but that only works when you can trust the data moving through it," said Pramod Mahadevan, VP of Data & Analytics Product Ecosystem at ServiceNow. "Working with Acceldata brings proactive data observability and richer incident context directly into ServiceNow Data Catalog, so issues are spotted sooner, downstream business impact is understood, and problems are resolved faster - not just by people, but by AI agents acting autonomously. Enterprises need that operational confidence to run AI and agentic workflows at scale." As enterprises connect more data, workflows, and AI across platforms, trust in operational data becomes increasingly important. Acceldata and ServiceNow are helping address that need by bringing proactive data observability and contextual remediation into the Workflow Data Fabric ecosystem. Over time, the companies expect to deepen their collaboration, to support richer workflow integration and help customers bring trusted data more directly into the flow of work. Acceldata and ServiceNow will also showcase the partnership in a joint demonstration at Knowledge 2026. About Acceldata Acceldata is the company pioneering Agentic Data Management, helping enterprises build trusted data foundations for analytics, AI, and business operations. With deep capabilities in data observability, data quality, and intelligent data operations, Acceldata enables organizations to proactively manage data across complex hybrid and cloud environments.
Acceldata has partnered with ServiceNow to integrate with its Data Catalog, enabling enterprises to strengthen trust in data powering AI agents and workflows. The integration synchronises data quality and reliability scores directly to catalogued assets, giving business and technical teams visibility into data health within governance workflows. The partnership addresses a critical challenge: single data issues can ripple through enterprise workflows built on the ServiceNow platform, causing significant business disruption. Acceldata monitors data health across modern platforms and on-premise systems, helping teams identify problems quickly. AI agents on the ServiceNow platform can automatically consume approved, quality-checked data assets, ensuring they operate on trusted inputs. The integration also passes relevant incident context to ServiceNow to accelerate issue resolution and reduce unnecessary ticket volume.
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Industries
Data & Analytics
Enterprise Software
AI & Machine Learning
Company Size
201-500
Company Stage
Series C
Total Funding
$105.6M
Headquarters
San Jose, California
Founded
2018
Find jobs on Simplify and start your career today