BigPanda provides an AI-powered platform for IT Operations that helps ITOps, NOC, and SRE teams manage alerts and automate workflows. Its Open Integration Hub connects monitoring, change management, topology, CMDB, service maps, and traces to give end-to-end visibility and operational awareness. AI and ML identify which alerts matter, reducing alert noise by over 95% and surfacing indicators before incidents. It automates workflows for DevOps, SRE, and Platform Engineering to streamline incident response, improve reliability, and reduce downtime and costs, differentiating itself through centralized data integration and proactive automation.
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Industries
Company Size
201-500
Company Stage
Series E
Total Funding
$311M
Headquarters
Redwood City, CA
Founded
2012
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BigPanda has been recognized as a Niche Player in the 2026 Gartner(R) Magic Quadrant(TM) for AI Applications in IT Service Management report. On August 17, Gartner placed BigPanda in the Niche Players quadrant of the 2026 Gartner Magic Quadrant for AI Applications in IT Service Management (ITSM). It's its first time on this MQ, after an honorable mention last year. I'm glad BigPanda, Inc. is there, and I want to explain why a company that doesn't sell an ITSM platform reads that as a strong result. BigPanda, Inc. didn't enter this market. It came to BigPanda, Inc.. BigPanda isn't an ITSM platform, and BigPanda, Inc. is not trying to become one. BigPanda, Inc. don't hold your tickets, your CMDB, your change calendar, or your service catalog. Other companies in the Magic Quadrant do. BigPanda customers typically run one of those platforms today and will likely continue to run it in five years. BigPanda, Inc. is an agentic IT operations platform, and BigPanda, Inc. apply AI to the incident lifecycle end-to-end. BigPanda scores which changes are likely to cause incidents, detects and correlates what your monitoring tools, service desk, or external observability tools are signaling, triages and routes what's real to the right teams, investigates root cause, and automates the workflows that resolve it. All of it reasons over one shared model of your estate: the IT Knowledge Graph. Event correlation is where BigPanda, Inc. started, not the edge of what BigPanda, Inc. do. So how does an agentic ITOps platform end up on the ITSM Magic Quadrant? Gartner evaluated nine vendors against eleven criteria of varying weights to determine completeness of vision and ability to execute. My view is that BigPanda, Inc. is there because of what BigPanda, Inc. hand the ITSM platform. BigPanda turns raw event data into operational signals, and an ITSM platform that receives them makes better recommendations and responds to incidents more accurately. That's its IT Knowledge Graph doing its job. Why BigPanda, Inc. feel Niche Players is the honest placement. As Gartner states in its research, "Niche Players in this market demonstrate strengths in specific areas of AI in ITSM and often offer solid capabilities for particular use cases. However, they generally have not invested sufficiently to satisfy all requirements for Completeness of Vision and Ability to Execute. Established providers in this quadrant may position AI applications for ITSM as add-on offerings or exploratory extensions of established markets, such as conversational AI platforms or ITSM platforms. The Niche Players in this Magic Quadrant are expanding their go-to-market efforts and have not yet developed the vision required to break out of the quadrant." In my view, that gap reflects which use cases a service desk evaluation weighs, not how much BigPanda, Inc. invest in AI. Focusing on a segment of the market rather than the whole of it might be thought of as addressing a market niche. But BigPanda, Inc. think the segment line isn't where most readers will assume it is. BigPanda, Inc. don't build a slice of the desired capabilities and skip the rest. BigPanda, Inc. build virtual agents, AI search, and content generation. The difference is who BigPanda, Inc. build them for. Many evaluations look at AI in service management through the service desk lens: employee requests, ticket handling, and deflection. BigPanda, Inc. build for operational IT across the enterprise. A service desk agent resolves one person's request. An operational IT agent determines that 40 requests, 6 monitoring alerts, and last night's change are the same event and what that event is doing to revenue. Same capability names, different job. ITSM platforms own the service desk side, and they've earned it. If you're choosing a system of record, go look at them. One thing I think you should consider before you use any analyst evaluation to pick a vendor: assess whether the product works in practice, or focus on customer outcomes, adoption, total cost of ownership, and time to value. Any evaluation may map who's building what, but it doesn't tell you what works. The walled garden problem. What follows is my own reasoning, from running a global ServiceNow platform team at Stellantis and from what its customers tell me now. ITSM platforms manage work once it becomes work. They were never designed to ingest millions of monitoring events and decide which 200 of them are the same outage. Agentic features don't fix that. An agent handed 50 duplicate tickets for one database failure will triage 50 tickets. Volume is what people notice first. The harder constraint is what the platform can see. An ITSM platform is a walled garden, mostly by design. It knows tickets, CIs as the CMDB recorded them, changes as they were submitted, and SLA clocks. It doesn't know what your observability stack saw 90 seconds ago, which services depend on the host that just failed, or which of last night's deployments touched the code path in question. That data lives in 10 other tools. An agent reasoning within those walls can automate ticket handling. It can't determine the incident's impact radius because everything that determines it lies outside the walls. You get automation that's both confident and wrong, which costs more than no automation at all. That's the failure mode I'd watch for as agentic features roll out across the ITSM platforms in 2027. Its IT Knowledge Graph solves that. It spans monitoring signal, topology, change records, and ticket history across the whole estate rather than one platform's slice of it, so an agent reasoning over it knows what broke, what depends on what broke, what changed just before, and who owns the result. Cambia Health Solutions calls the outcome "a better understanding of what is impacted throughout the organization and how to fix it quickly." They identify critical alerts within 30 seconds, meet 95% of NOC SLAs, and run 83% alert compression. Its customers don't replace their ITSM platform with BigPanda, Inc.. They put BigPanda, Inc. in front of it, and the platform they already pay for gets better at the agentic work they bought it for. Other things to note. Agentic ITSM. In my view, much of what agentic ITSM calls for today, such as context engineering, reasoning loops, and multi-agent orchestration, is scaffolding you need when there's no unified context layer. BigPanda, Inc. built the context layer instead. Three of its capabilities have recently become generally available: Investigation Swarm, where agents choose which specialists to invoke and in what order; Custom Agents with agent-to-agent interoperability; and Adaptive Memory. Automated remediation with a human in the loop and change risk scoring for CI/CD pipelines are targeted for December. Pricing. An ITSM platform plus BigPanda may cost more than the platform alone, but what the combination returns in value depends on your alert volumes, escalation rate, and ticket counts, which is the better conversation to have. Language coverage. Its UI, documentation, and support are currently English-only, though its AI supports multiple languages. If you run a service desk in six languages, ask BigPanda, Inc. directly. What to do with this. Use analyst evaluations to surface vendors for consideration and often to identify contenders outside the most well-known (or those with the largest marketing budgets). Ask your ITSM vendor a direct question: when your agentic triage runs, what can it see outside this platform? If the answer is a list of integrations you'd have to build and a correlation engine you'd have to maintain, you've found the gap BigPanda, Inc. fill. BigPanda, Inc. think BigPanda, Inc. is a Niche Player because BigPanda, Inc. is built for operational IT. If you are focusing on the service desk, remember: same capabilities, different lens. I'll take that trade. Rob Pickering is Field CTO at BigPanda. Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. GARTNER and MAGIC QUADRANT are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.
Mozaic announces partnership with BigPanda. 06 August 2026 Consultancy.uk As it looks to help clients obtain AI-powered operational intelligence for their service management, Mozaic has announced a new partnership with BigPanda. The alliance will help organisations address legacy technology issues which hold back the adoption of AI tools. Matt Gray, engagement director at Mozaic, said, "AI-driven operations do not start with an agent. They start with trusted operational context. BigPanda gives us the intelligence layer between monitoring and service management, identifying what matters, bringing related signals together, and giving platforms such as Halo and ServiceNow the context needed to trigger the right response. This is a critical component of our ESI Reference Architecture. Combined with our operating model, service integration and platform expertise, it will help clients move away from fragmented and reactive support towards service operations that are integrated, service-aware and increasingly automated." An agentic ITOps platform is an IT operations system that uses autonomous AI agents to plan, and take direct action across the IT environment. Unlike traditional AIOps, which only detect anomalies and alert human operators, agentic platforms automate end-to-end incident resolution. BigPanda is an agentic ITOps platform, trusted by some of the world's largest enterprises. It will now become a key technology component within Mozaic's Enterprise Service Integration, or ESI, Reference Architecture. Mozaic will support customers across the full lifecycle, from initial assessment and architecture through implementation, integration, operating model change, adoption, and continuous optimisation. BigPanda will also form part of Mozaic's wider Service Awareness and ESI propositions, helping clients create a clearer connection between their technology estate, business services, and operational priorities - with Mozaic's ESI model helping organisations connect enterprise demand, workflows, technology platforms, suppliers, and governance into a joined-up service operation. Chris Loveridge, EMEA regional vice president at BigPanda, added, "Mozaic combines deep enterprise transformation experience with a strong position across both the Halo and ServiceNow ecosystems. That combination is increasingly important as organisations look to connect operational intelligence with the workflows, platforms, and operating models needed to act on it. Together, BigPanda and Mozaic will help customers reduce alert noise, accelerate the journey from detection to resolution, and create the operational foundations required for AI-driven and agentic service management."
Mozaic announces partnership with BigPanda to bring ai-powered operational intelligence to Enterprise Service Management. * Published August 3, 2026 London, UK, 3 August 2026 - Mozaic, the award-winning operating model and service transformation consultancy, has announced a strategic partnership with BigPanda, the Agentic ITOps platform trusted by some of the world's largest enterprises. BigPanda will become a key technology component within Mozaic's Enterprise Service Integration, or ESI, Reference Architecture. The partnership will also strengthen the operational intelligence capabilities Mozaic offers to enterprise customers using Halo and ServiceNow. Mozaic's ESI model helps organisations connect enterprise demand, workflows, technology platforms, suppliers, and governance into a joined-up service operation. BigPanda provides a critical operational intelligence layer within this model, bringing together signals from fragmented monitoring tools, reducing alert noise, and creating the trusted context needed to prioritise incidents, initiate workflows, and automate operational responses. Many organisations have invested heavily in monitoring, observability, and service management platforms, but the connections among them remain fragmented. Monitoring tools generate large volumes of technical events, while service teams often receive duplicate, poorly prioritised, or insufficiently contextualised incidents. This creates unnecessary manual effort, slows diagnosis, and limits the effectiveness of automation and AI. By combining Agentic ITOps capabilities from BigPanda with Mozaic's expertise in service operating models, Service Awareness, Enterprise Service Management, and platform delivery, the partnership will help organisations bridge this gap. Customers will be able to identify the events that matter, understand their potential business impact, and route reliable operational intelligence into the right service management workflows. Matt Gray, Engagement Director at Mozaic, said: "AI-driven operations do not start with an agent. They start with trusted operational context. BigPanda gives Mozaic Services Limited the intelligence layer between monitoring and service management, identifying what matters, bringing related signals together, and giving platforms such as Halo and ServiceNow the context needed to trigger the right response. "This is a critical component of our ESI Reference Architecture. Combined with our operating model, service integration and platform expertise, it will help clients move away from fragmented and reactive support towards service operations that are integrated, service-aware and increasingly automated." Chris Loveridge, EMEA Regional Vice President at BigPanda, added: "Mozaic combines deep enterprise transformation experience with a strong position across both the Halo and ServiceNow ecosystems. That combination is increasingly important as organisations look to connect operational intelligence with the workflows, platforms, and operating models needed to act on it." "Together, BigPanda and Mozaic will help customers reduce alert noise, accelerate the journey from detection to resolution, and create the operational foundations required for AI-driven and agentic service management." The partnership is particularly relevant to organisations adopting Halo at enterprise scale. The event correlation and operational intelligence capabilities BigPanda offers can be integrated with Halo's service management and workflow platform, helping organisations manage complex technology estates while retaining the flexibility, usability, and value offered by Halo. Mozaic will support customers across the full lifecycle, from initial assessment and architecture through implementation, integration, operating model change, adoption, and continuous optimisation. BigPanda will also form part of Mozaic's wider Service Awareness and ESI propositions, helping clients create a clearer connection between their technology estate, business services, and operational priorities. The partnership strengthens Mozaic's growing technology ecosystem and reflects its continued investment in the capabilities required for the next generation of enterprise service operations. It will enable clients to combine effective operating models, modern service management platforms, and AI-powered operational intelligence to deliver faster, more resilient, and more reliable services. About Mozaic Mozaic is an award-winning operating model and service transformation consultancy. Mozaic Services Limited help organisations assess complex challenges, design practical operating models, implement modern service capabilities and build the internal skills needed to sustain change. Its expertise spans enterprise operating models, service integration, Enterprise Service Management, AI adoption, supplier ecosystems and technology platform delivery. With a collaborative approach that combines deep expertise with practical innovation, Mozaic has helped more than 100 leading organisations deliver measurable outcomes and become Future Ready. About BigPanda BigPanda builds the context layer for Agentic ITOps. The IT Knowledge Graph unifies fragmented operational data into a shared foundation, so connected agents can reason, coordinate, and act with bounded autonomy - built on open architecture, not a single vendor's walled-off data. BigPanda empowers the teams that keep the digital world running. Visit bigpanda.io. Press Contacts George Tresnan, Head of Marketing at Mozaic Jenne Barbour, Head of Corporate Marketing at BigPanda
CMS Distribution signs BigPanda to expand Agentic IT Operations. Posted on July 30, 2026 by: Huw Jones London, United Kingdom - 30th July 2026 - CMS Distribution, a leading value-added technology distributor, today announced a new distribution partnership with BigPanda, which builds the context layer for Agentic ITOps. As enterprise IT operations grow more fragmented and complex, BigPanda helps organisations move from manual, reactive operations towards autonomous operations grounded in a shared operational context. The partnership enables CMS Distribution's UK&I channel partners to bring the BigPanda Agentic ITOps platform to enterprises looking to automate manual and reactive workflows across IT operations, including NOC, SRE, and incident management. BigPanda provides a connected team of IT agents that prevents incidents before customers are impacted and autonomously resolves them when they are. As enterprises manage increasingly complex hybrid environments across observability, cloud, and service management platforms, operations teams remain trapped in manual, reactive workflows. The BigPanda IT Knowledge Graph unifies fragmented enterprise knowledge, from documented organizational context to informal, tribal knowledge, giving AI agents the understanding needed to reason and act autonomously. The result: enterprise IT operations shift from reacting to incidents and outages to preventing disruption and moving from manual coordination to agentic execution. Through CMS Distribution's established partner ecosystem and specialist experience in the observability market, BigPanda will gain additional reach across UK&I resellers, managed service providers, and enterprise-focused solution partners. The agreement supports growing demand for agentic IT operations solutions that help customers improve uptime, streamline incident management, and make better use of existing observability investments. "Enterprise IT is still stitched together across monitoring, observability, and service management teams. That fragmentation is the real constraint," said Chris Loveridge, EMEA Regional Vice President at BigPanda. "CMS gives us the reach to help more organisations adopt Agentic ITOps by giving AI the operational context to reason, coordinate, and act where teams still have to do that work manually." "CMS Distribution has built a strong position as a leading distributor for observability solutions in the UK, and BigPanda is a natural addition to our portfolio," said Ed Bateman at CMS Distribution. "By combining BigPanda's agentic ITOps capabilities with our specialist channel expertise, we can help partners address a critical customer challenge: reducing operational noise and enabling IT teams to act faster, with better context and greater confidence." CMS Distribution will support BigPanda with channel development, partner recruitment, enablement, demand generation, and access to a broad network of resellers and solution providers across the UK&I. The partnership strengthens CMS Distribution's ability to offer a comprehensive observability and operations portfolio spanning monitoring, automation, service reliability, and AI-driven incident management. The agreement reflects a shared commitment to helping UK&Iorganisations modernise operations, improve resilience, and reduce the cost and complexity of managing critical digital services. BigPanda is available to CMS Distribution partners in the UK and Ireland with immediate effect. If you would like to learn more or have any questions, please reach out to Stuart Riches, by emailing him at [email protected] or phoning him on +44 1423 44 7859. View Vendor Page ABOUT CMS CMS Distribution helps technology brands grow and succeed by connecting innovative products with the right customers. Since 1988, CMS Distribution has represented over 200 world-class manufacturers, bringing emerging technologies to market and scaling established brands through value-added services that deliver real results. ABOUT BIGPANDA BigPanda builds the context layer for Agentic ITOps. The IT Knowledge Graph unifies fragmented operational data into a shared foundation, so connected agents can reason, coordinate, and act with bounded autonomy - built on open architecture, not a single vendor's walled-off data. BigPanda empowers the teams that keep the digital world running. Visit bigpanda.io. FOR MORE INFORMATION CMS Distribution Stuart Riches - Senior Vendor Manager Email address: [email protected] Main Tel: +44 1423 44 7859 Website: www.cmsdistribution.com Ed Batemen - Sales Manager Email address: ed.bateman @cmsdistribution.com Main Tel: +44 208 962 2551 Website: www.cmsdistribution.com BigPanda Jenne Barbour - Head of Corporate Marketing [email protected] Quick links. Phone numbers.
Agentic ITOps is here. Here's what early movers are doing. BigPanda Inc. recently brought together IT operations leaders from across financial services, healthcare, airlines, media, and other industries for BigPanda 26, its annual customer event. The theme that emerged above all others during the event's conversations is that its industry is no longer debating whether AI belongs in ITOps. The debate now is about how quickly it can be implemented, how to measure it, and who's accountable when it acts. Here are some key learnings from BigPanda 26. Your CMDB doesn't need to be perfect to get started. For years, the assumption was that automation required perfect data. Clean the Configuration Management Database (CMDB), normalize every data source, and get the foundation right before you do anything else. That multi-year data preparation project became the reason automation stalled, and the $250 billion problem of human-driven IT operations never got solved. The leaders BigPanda Inc. met with at BigPanda 26 recognized this ceiling immediately, with one financial services executive squarely stating that his organization no longer cares only about CMDB quality. Instead, his priority is building an IT Knowledge Graph, which harnesses knowledge and context across the business and augments the data stored in their CMBD. The collective mindset of those already using AI agents is that the best path is to start using the technology immediately. Don't wait. Its customers across financial services, insurance, and hospitality shared similar experiences. Value showed up faster than expected, and the data improved as a byproduct of using the platform, not as a prerequisite. That's the shift agentic AI makes possible. Instead of treating data quality as the gatekeeper, it treats it as an output. AI can observe patterns, infer relationships, and fill in gaps through daily operations. Every incident it touches strengthens the knowledge layer. The CMDB becomes one input among many, but no longer the thing everything else depends on. The enterprises moving fastest aren't the ones with the cleanest data. They're the ones who stopped waiting for it. Tribal knowledge remains hidden across the enterprise. What makes agentic AI fundamentally different isn't just speed or scale. It's access to context that automation never had before. The knowledge required to resolve most incidents already exists inside the enterprise, locked away in incident records, change logs, post-mortems, and architecture diagrams. However, most of it lives in people's heads. The engineer who remembers a failure pattern from 18 months ago, the system dependency that never made it into the CMDB, the escalation preferences everyone knows but nobody documented. Rules-based automation couldn't touch any of it, but agentic AI can. Leaders across industries are concerned that critical operational knowledge is locked inside engineers who are retiring, disengaged, or too busy to document what they know. One leader BigPanda Inc. spoke to made the stakes concrete: when the AI can't resolve an incident, it signals that the underlying knowledge is outdated. That's not a failure state, it's a diagnostic. Agentic AI turns this liability into an asset. AI observes how engineers respond to incidents, inferring undocumented relationships, and surfacing recommended updates for human review. This allows AI agents to build a knowledge layer through daily operations and get smarter because of real-world messiness, not despite it. The desire to automate is strong, but trust isn't there yet. With a rich knowledge layer in place, the conversation shifts from capturing institutional knowledge to acting on it. That's where L1 automation becomes a reality, but the leaders furthest along the automation adoption curve are clear that trust is built incrementally, not assumed. The most commonly agreed-upon approach at BigPanda 26 is to start with the agent as an observer and recommender before it becomes an actor. One airline's team wants to surface three various resolution options to the on-call engineer before anyone gets on a bridge call. The human still makes the decisions, only faster, with better context, and without pulling a room full of people into a 2 am war call. As one manufacturing leader described it, "I have my hand on the wheel, but I'm testing the trust and loosening my grip." The lessons here are to start with repeat incidents where outcomes are predictable, keep novel P1s in human hands, and let the agent's scope expand as its track record builds. Starting narrow lays the foundation for building institutional confidence that later unlocks broader autonomy. The framing that resonated most is treating the BigPanda L1 Agent as the junior engineer. It handles high-volume, repeatable work and escalates cleanly when it reaches the edge of its knowledge. That's not a limitation. That's exactly what you'd want from someone in their first week, and exactly how trust gets built. Agentic ITOps is driving the shift from reactive to proactive operations. These capabilities in total unlock the long-sought-after goal of proactive issue detection. Enterprise IT leaders have been seeking this elusive goal for many years, but now, it's a reality. AI can continuously scan the environment and surface anomalies before they become incidents. Leaders described getting to this state as an urgent priority. The teams that are furthest along share a common trait: they've stopped thinking about AI as a feature inside an existing workflow. Instead, they're building workflows around the AI. The L1 Agent isn't a tool that fits into the old NOC model; it's the foundation of a new one. That shift won't happen overnight. But if BigPanda 26 made one thing clear, it's that the leaders who will define enterprise ITOps in five years are already making the bets today. Are you ready to make your bet? Request a demo or reach out to its team to see where you stand. If you'd like to learn more about BigPanda's agentic IT operations strategy and hear the BigPanda 26 product keynote from its new Chief Product Officer, join its upcoming webinar on May 12.
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Industries
Company Size
201-500
Company Stage
Series E
Total Funding
$311M
Headquarters
Redwood City, CA
Founded
2012
Find jobs on Simplify and start your career today
We update BigPanda's jobs every few hours, so check again soon!Browse all jobs