What Is Serval? AI ITSM Features, Pricing and Alternatives (2026)

Serval is an AI-native IT service management platform whose Catalyst agent builds automations from plain-English prompts and whose help desk agent resolves employee requests with them; it raised a $75 million Series B led by Sequoia in December 2025 at a $1 billion valuation, and it publishes no pricing. It sells to IT, HR, finance and legal teams at companies like Notion, Ramp, GitHub and Perplexity, not to customer support teams.

We build AI agents for customer service ourselves, so we checked Serval's customer quotes against its case-study pages. When we first wrote this, two of its SeatGeek numbers looked inconsistent; the current case study explains how they fit together, which we cover below.

What is Serval?

Serval calls itself "enterprise service management for the AI era," automating employee requests, onboarding and offboarding, just-in-time access, and repetitive work across IT, HR, security, legal, finance and go-to-market operations. CEO Jake Stauch leads the company. The funding moved fast: a $47 million Series A in October 2025 led by Redpoint Ventures (with First Round, General Catalyst and Box Group), then a $75 million Series B announced on December 11, 2025, pre-empted and led by Sequoia at a $1 billion valuation. Serval says it raised $127 million in total between August and December 2025.

In the Series B post, Serval said revenue grew 500% in the 90 days after the Series A and headcount more than tripled, and that it had shipped its own ticketing, access management and asset management so customers could replace their ITSM system of record rather than automate on top of it. Those are company-reported figures. Its homepage customer list includes Notion, Ramp, GitHub, Vercel, GitLab, Brex, Perplexity, SeatGeek, Navan, Live Nation, Dolby, Clay and Mercor, about 25 logos in all, which is a strong roster for a company this young.

Stauch's stated strategy captures the product's philosophy: "We want to make it easier to automate something forever than do it manually once." That's the bet Serval makes against ServiceNow and other legacy ITSM tools: a human resolves a request once, and an automation should handle every future instance of it.

How does Serval's AI work?

Serval runs a two-agent architecture. Catalyst is the admin-facing agent that "builds code-based workflows from natural language prompts": an IT admin describes a process in plain English and Catalyst generates, tests and publishes it as fixed code, not a loose set of instructions an LLM re-interprets every time. Workflows can be refined in plain English or edited at the code level. The help desk agent is what employees talk to: it "reasons over employee requests and resolves them using the tools that admins have published" through Catalyst.

The split separates two jobs many competing platforms blur together: building the automation and running it. An admin using Catalyst doesn't have to be a developer, and the published workflow runs the same way every time, a different reliability guarantee from an agent re-reasoning from scratch on each similar ticket. Serval also runs Proactive agents, "background agents that discover problems before your users do," which scan for issues (the marketing copy uses a device fleet setup example) and propose fixes before anyone files a ticket.

What are Serval's key features?

• Catalyst agent: builds deterministic, code-based workflows from natural-language admin prompts.
• Help desk agent: resolves employee requests directly using the tools and workflows Catalyst has published.
• Proactive agents: background agents that surface and propose fixes for problems before an employee reports them.
• ITSM system of record: ticketing, access management, asset management and workflow orchestration, so a team can move off a legacy ITSM tool entirely.
• Cross-functional coverage: IT (password resets, access), HR (onboarding, benefits), security (privileged access), legal (contract review), finance (policy questions, license management) and GTM operations.
• Omnichannel support: Slack, Teams, email and web portal, per third-party review coverage of the product.

How much does Serval cost?

Serval doesn't publish pricing. Its pricing page shows no tiers, seat counts or usage rates; it routes visitors to a demo and offers to "pilot the platform with a dedicated deployed engineering team." A third-party review site describes this as a "demo-gated pricing model" with custom contracts, which matches what we found on Serval's own site.

The incentive is worth naming. A custom-quote model backed by named enterprise logos (Notion, Ramp, GitHub) and a $1 billion valuation lets Serval price each deal against that company's willingness to pay, with no public number for a competitor to undercut. The forward-deployed engineering pilot fits the same pattern: it costs Serval engineering time up front and gets repaid by a larger contract. It's a reasonable strategy at the enterprise stage, but a buyer gets no anchor point before the sales conversation starts. For contrast, Atomicwork publishes a Professional plan from $25,000 a year plus $1 to $3 per outcome.

What are Serval's pros and cons?

Pros:

• Customer quotes are specific and attributed: SeatGeek's Elisa Folden reports going "from 0 to 40% automation within our first three weeks," and Perplexity's Head of IT, Vernon Man, reports completing "over 50% of our incoming requests automatically."
• The Catalyst/help-desk-agent split separates workflow-building from workflow-execution instead of asking one agent to do both.
• A strong customer roster for a company whose Series A closed in October 2025: Notion, Ramp, GitHub, Vercel and GitLab are named on Serval's own site.
• GitLab CIO Manu Narayan is quoted choosing to "move IT fully onto Serval rather than run it on top of our legacy ITSM," a stronger commitment than a typical pilot testimonial.

Cons:

• No published pricing, not even a starting figure, which costs evaluation time for a team shortlisting several vendors.
• SeatGeek's numbers need reading in context. The homepage quote cites 40% automation within three weeks and a projected 70%, while the case study headline says 50% from 7,000 manual tickets within 60 days. The case study now explains both: 40% at three weeks, then past 50%. Neither figure is a benchmark for your own rollout.
• No independent third-party rating we could verify: G2 and TrustRadius both blocked automated access, and the one third-party review we found came from a competing ITSM vendor's site, which we excluded given an apparent factual error in it.
• Enterprise-only positioning: the customer list and $122 million in disclosed rounds point to a product built for well-resourced IT teams at funded tech companies. A small business support desk is a mismatch.

Who is Serval best for?

Serval fits a mid-market-to-enterprise IT or operations team, likely at a funded tech company already comfortable evaluating AI-native tools, that wants one platform automating requests across IT, HR, security, legal and finance instead of stitching together department-specific tools. Its customer roster (Notion, Ramp, GitHub, Perplexity) signals the kind of company it's built and priced for. A small team without dedicated IT headcount to run Catalyst's workflow builder is a weaker fit; the deterministic-workflow model assumes someone owns building and maintaining those workflows over time.

How does Serval compare with Atomicwork, Moveworks and Macha?

Atomicwork is the closest direct comparison: both are AI-native ITSM platforms positioned against legacy ServiceNow-style deployments, both raised venture rounds recently, and both separate building automations from running them. Moveworks, now owned by ServiceNow (its homepage banner reads "ServiceNow officially acquires Moveworks"), is a second comparison point, though it's an older, more established platform. Macha is a different category: an AI agent layer for customer-facing support tickets, not an internal enterprise service management platform.

Macha fits a support team whose bottleneck is customer-facing tickets, not internal IT or HR requests. It runs inside Zendesk, Freshdesk, Gorgias, Front, HubSpot or Intercom, and its agents read the ticket, look up order or account data through connectors, and draft or send the reply. Macha's AI agent layer and its published pricing are worth comparing directly if that's the real problem, since neither Serval nor Atomicwork addresses external customer support. Macha is done for you without a vendor-led pilot: the Macha team analyzes your past tickets, builds the knowledge base and the agent, and runs it in safe mode until the drafts are right, included on the trial and every plan. It costs about $0.40 a ticket, which covers setup and a dedicated success manager who handles your changes.

How did we research Serval?

We used Serval's homepage, product pages, pricing page and per-customer case studies (first fetched 2026-09-18, re-checked 2026-09-24), Serval's own Series B announcement, TechCrunch's reporting on its Series A, and one third-party review site for pricing-model confirmation. The SeatGeek discrepancy we flagged in the first version is now explained on Serval's own case study page. A Forbes article about the company returned a 403 and couldn't be used; a review published by a competing ITSM vendor's site contained a claim we couldn't verify, so we left it out.

FAQ

What is Serval used for? Serval automates enterprise IT, HR, security, legal, finance and operations requests using two AI agents: Catalyst, which builds automations from natural language, and a help desk agent, which resolves employee requests using those automations.

How much does Serval cost? Serval doesn't publish pricing. It uses a demo-gated, custom-quote model with no public tiers or starting number, and offers a pilot run by a dedicated deployed engineering team.

Who funds Serval and how much has it raised? Serval raised a $47 million Series A in October 2025 led by Redpoint Ventures, then a $75 million Series B in December 2025 led by Sequoia at a $1 billion valuation. Serval says it raised $127 million between August and December 2025. CEO Jake Stauch leads the company.

Which companies use Serval? Named customers on Serval's own site include Notion, Ramp, GitHub, Vercel, GitLab, Brex, Perplexity, SeatGeek and Mercor, about 25 logos in all.

What are the best Serval alternatives? Atomicwork is the closest direct comparison, also AI-native and positioned against legacy ServiceNow-style ITSM, and it publishes prices. Moveworks (now owned by ServiceNow) is a second, more established alternative. If the real need is customer-facing support rather than internal IT, an AI agent layer like Macha fits that job better than any ITSM platform.

Is there a free trial for Serval? No public self-serve trial. Serval sells through demos, custom quotes and engineer-led pilots.

Does Serval replace ServiceNow? It can. Serval now ships its own ticketing, access and asset management, and GitLab's CIO is quoted describing a full move off legacy ITSM onto Serval. Whether that fits depends on how deeply a company has invested in ServiceNow's ecosystem.

How fast does Serval deploy? Results vary by customer. SeatGeek reported 40% automation within three weeks and passed 50% within 60 days, starting from a backlog of 7,000 manual tickets; both figures come from Serval's own case study.

Whichever enterprise service management platform you're comparing, ask for a customer reference close to your own size, since a strong logo list doesn't guarantee your deployment moves at the same speed. And if the tickets piling up are customer-facing rather than internal IT, see how Macha's agents work on your existing help desk.

Sources:

• https://www.serval.com
• https://www.serval.com/pricing
• https://www.serval.com/product/catalyst
• https://www.serval.com/product/proactive-agents
• https://www.serval.com/customers/seatgeek
• https://www.serval.com/serval-news/serval%E2%80%99s-next-chapter-raising-75m-to-build-the-new-era-of-enterprise-automation-and-service-management
• https://techcrunch.com/2025/10/21/serval-raises-47-million-to-bring-ai-agent-to-it-service-management/
• https://www.siit.io/tools/trending/serval-ai-review
• https://www.atomicwork.com/pricing
• https://www.moveworks.com