Koala AI Review [2026]: What Happened?

Koala built a signal-based selling platform that earned a 5.0 rating on G2 and loyal adoption among PLG SaaS companies. It combined first-party website behavior, product usage data, and third-party signals into a single view that told sales reps which accounts to work and why. For a narrow but committed audience of developer-tool companies, it worked.

Then, on July 18, 2025, Cursor acquired the Koala team. The product shut down on September 30, 2025. Five months after raising a $15M Series A from CRV and HubSpot Ventures, the platform ceased to exist.

If you're reading this, you're likely in one of two situations: you were a Koala user looking for what comes next, or you're researching the PLG sales intelligence space and wondering what happened. This review covers both.

Based on our analysis, Koala was a strong choice if:

• You ran a product-led growth motion and needed to identify high-intent free-tier users

• Your sales team was small (2-20 reps) and needed a prioritized lead queue

• You wanted fast implementation (single pixel install, minutes to first data)

• You valued first-party behavioral signals over third-party intent data

• You sold developer tools, APIs, or infrastructure software

Koala was not the right fit if:

• You needed verified contact data, direct-dial phone numbers, or business emails at scale

• Your sales motion extended beyond PLG into outbound prospecting

• You required full-cycle outreach execution, not just signal detection

• You operated in industries outside B2B SaaS

• You needed a platform backed by long-term operational stability

For teams that need the signal intelligence Koala provided plus verified contact data, outreach execution, and an intelligence layer that scales beyond PLG, ZoomInfo is the natural next step.

As a full-stack GTM platform, ZoomInfo combines B2B data (500M contacts, 100M companies, 135M+ verified phone numbers, and 200M+ verified business emails) with the GTM Context Graph, an intelligence layer that fuses your CRM records, conversation transcripts, and behavioral signals with ZoomInfo's third-party data. That context powers AI-driven execution through GTM Workspace for sellers, GTM Studio for marketers and RevOps, and APIs and MCP for custom tools or AI agents.

We've included a detailed look at ZoomInfo at the end of this review. If you want to explore it now, you can start with a free trial here.

What Was Koala?

Koala was a signal-based selling platform founded in 2022 under the legal entity Konfetti, Inc., headquartered in South San Francisco. The platform used AI to help B2B sales reps prioritize high-intent accounts, qualify leads, and maintain engagement from first contact through close.

Source: Koala

The company was built for Product-Led Sales: figuring out which free-tier or trial users are genuinely interested in buying and should be handed to a rep. Koala's founding insight was that product usage data is the strongest buying signal in PLG companies, and that sales teams had no practical way to act on it without custom-built analytics infrastructure.

Koala's customer base included Vercel, Retool, Hightouch, Sanity, Dolby, Deepgram, Segment, OneSignal, and Mintlify, a cluster of developer-facing SaaS companies. At its peak, the platform processed 1 billion intent signals per year and claimed $400M in pipeline accelerated across its customer base.

The company achieved SOC 2 Type II certification within six months of writing its first line of code, was GDPR and CCPA compliant, and maintained a public trust center via Vanta.

Koala Pros & Cons

Koala Review: How It Worked & Key Features

Koala Data (Prospect 360): A B2B CDP that unified every prospect signal into one record.

Koala's identity platform, branded "Prospect 360," assembled a unified prospect profile by combining three layers of identity resolution. For anonymous visitors, it partnered with Clearbit Reveal to resolve the company behind an IP address (up to 10,000 Reveal calls per month). When a visitor submitted a form, logged in, or loaded a page as a known user, Koala's JavaScript SDK captured the email and merged it with the anonymous session, including retroactive attribution of pre-identification browsing history. A third layer detected email click-throughs from outbound campaigns via URL parameters, working natively with supported SEPs (Outreach, HubSpot, Apollo.io, Salesloft, and Amplemarket).

The platform calculated two scores for every account. An ICP Fit Score analyzed the customer's own closed-won population to derive composite grades (A-D) based on employee size, ARR, industry, geography, and technographics. An Intent Score (0-100) updated multiple times per day, summarized as Low through Very High with a trend direction (Surging, Heating, Neutral, Cooling). The intent score included automatic decay modeling adapted per customer, reflecting that buying intent has a short half-life.

Source: Koala

Koala accumulated prospect-level identity for over 30% of traffic for sales-led customers and over 75% for PLG companies, all built on first-party data with no third-party cookies or probabilistic fingerprinting.

Intent Signals: 30+ signal sources aggregated into an account-level view with AI scoring.

Koala's Intent Signals feature captured buyer behavior across the full purchase journey. A lightweight JavaScript snippet auto-captured all page views and active session time. For PLG companies, the account view showed onboarding milestones, weekly active users, API call volume, member count, and billing data alongside website activity, enriched from product analytics or data warehouse integrations.

Source: Koala

Beyond first-party data, Koala connected to 30+ external sources including data warehouses (Snowflake, BigQuery), CRMs (HubSpot, Salesforce), CDPs (Segment, RudderStack), product analytics (PostHog), review platforms (G2), documentation platforms (Mintlify, ReadMe, GitBook), and community platforms (Slack, Discord, LinkedIn, GitHub).

The scoring engine, Intent 2.0, trained on each customer's historical conversion data rather than applying generic rules. Content Reports analyzed which page views and events correlated with conversion, then suggested new intent signals automatically, creating a self-tuning system that improved as data accumulated.

Source: Koala

Automations & Plays: Trigger-based workflows that fired the instant a high-intent signal was detected.

Koala's Plays feature turned winning sales behaviors into repeatable workflows built around a WHO/WHEN/WHAT framework. WHO defined the target audience using ICP fit, firmographics, CRM ownership, or territory. WHEN specified an intent trigger (a pricing page visit, a product milestone, or any custom event). WHAT provided the engagement thesis, backed by AI-researched context.

When a prospect matched a Play's criteria, Koala ran AI Qualification and Research Agents automatically. These agents researched publicly available information and could auto-qualify or auto-disqualify leads before a rep saw them. Qualified leads landed in the Magic Inbox, organized by Play type rather than chronologically.

For fully automated execution, Auto Outbound enrolled contacts directly into Outreach or Apollo sequences, with safeguards preventing sends to existing customers or accounts in active deals. Koala claimed automated follow-up sequences achieved open rates of 75% and reply rates of 10-15%.

Source: Koala

AI Research & Coach (Agent Swarm): AI agents that compressed 20-30 minutes of manual research into 30 seconds.

The Agent Swarm was a shared library of AI research agents configured at the team level. RevOps defined a base set of agents; individual reps extended it. Each agent answered a single question about a company or person, producing structured outputs (String, Number, Boolean, Picklist, and others). Boolean and Picklist outputs could feed directly into automated disqualification rules.

Agents ran against a choice of AI models: GPT-4o, GPT-4o-mini, Claude 3.5 Sonnet, Claude 3.5 Haiku, Perplexity, Perplexity Reasoning (DeepSeek R1), and Perplexity Pro. Teams picked the model per agent based on complexity and cost.

Coach consumed agent research alongside all other Koala signals. When a rep opened Coach on a lead, they received the play tactic, research data, engagement patterns, and a suggested email approach. From Coach, reps could compose emails, generate LinkedIn messages, or access call scripts, all pre-loaded with behavioral and research context.

Koala's Pricing (Historical)

Koala shut down on September 30, 2025. The pricing below is for historical reference only.

Koala used a hybrid model combining monthly seat fees with a credit allowance consumed by enrichment and outbound actions.

The Free plan was permanent with no credit card required. A 14-day free trial was available on the Growth plan.

Where Koala Fell Short

Even before its shutdown, Koala had clear limitations that reflected its focus on PLG signal detection over full-cycle sales execution.

The platform no longer exists. The most significant limitation. Cursor acqui-hired the Koala team in July 2025, five months after the $15M Series A closed. Cursor acquired the team, not the product. The platform shut down by September 30, 2025. Any evaluation is now academic.

Incomplete as a standalone outreach solution. G2 reviewers consistently noted that Koala identified who to contact and when, but did not provide email sequencing or contact-level phone numbers at scale. Teams still needed separate sales engagement platforms (Outreach, Apollo), adding cost and complexity.

Anonymous visitor resolution had gaps. G2 reviewers flagged that IP-to-company resolution did not always produce high-confidence matches, particularly for smaller companies or those using VPNs. For companies outside PLG SaaS, where product usage signals were unavailable, Koala functioned as a basic website intent tracker comparable to cheaper alternatives.

Narrow ideal customer profile. Koala worked well for Series A through Series C developer-tool companies with PLG motions. Sales-led companies, enterprises with existing RevOps infrastructure (6sense, Demandbase), non-SaaS verticals, and teams needing contact databases found limited value.

Advanced features gated behind higher tiers. SEP integrations (Outreach, Apollo), data warehouse connections, multiple CRM support, and territory-based routing were all restricted to the custom-priced Business plan. The $1,000/month Growth plan capped auto outbound at 100 per month and webhooks at 1,000 per month.

These limitations were the natural result of a small startup optimizing for a specific niche. But they left a wide gap for teams that needed signal intelligence paired with verified data, outreach execution, and operational stability.

Top Koala Alternative: ZoomInfo

ZoomInfo addresses every gap Koala left, starting with the ones that existed before the shutdown and extending to the one that followed it. ZoomInfo operates a B2B data platform spanning 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. That data runs through a multi-source verification pipeline backed by 300+ human researchers and reaching up to 95% accuracy on first-party data.

Where Koala detected signals and left reps to figure out the rest, ZoomInfo combines signal detection with verified contacts, AI-powered execution, and an intelligence layer that captures why deals move. The platform serves 35,000+ companies worldwide, including Adobe, Snowflake, Seismic, and Thomson Reuters.

Buyer Intent and Signal Intelligence: Intent data drawn from 210 million IP-to-Organization pairings and 6 trillion+ keyword-to-device pairings monthly.

Koala's signal layer covered first-party website and product usage data across 30+ sources. ZoomInfo operates at a different scale.

ZoomInfo Intent tracks signals from 210 million IP-to-Organization pairings and 6 trillion+ new keyword-to-device pairings sourced monthly. Guided Intent, exclusive to ZoomInfo, identifies topics historically correlated with deal success rather than requiring manual topic selection. The platform surfaces accounts researching topics that have led to closed deals in your pipeline, not just topics you guessed might matter.

WebSights resolves anonymous website traffic to companies, identifies buying team members, and provides direct contact information. It includes Automatic Traffic Filtering that distinguishes real visitors from bots, a detail Koala's IP resolution layer did not address.

The critical difference: ZoomInfo's intent signals come attached to verified contact data. When an account shows buying intent, you immediately have the direct-dial phone numbers and verified emails for the buying committee. Koala surfaced the signal; ZoomInfo surfaces the signal and the people you need to reach.

Redwood Logistics achieved a 99% reduction in CPC and a 310% increase in CTR with ZoomInfo's data-driven targeting. "It's not just the data itself. It's more about the right data at the right time to help us reach out with the right message across that full buyer journey." (Chelsea Kenyon, Senior Director of Digital Strategy, Redwood Logistics)

The GTM Context Graph: An intelligence layer that captures not just what happened, but why.

Koala's Prospect 360 aggregated signals into a unified timeline. ZoomInfo's GTM Context Graph goes further: it processes 1.5B+ data points daily, fusing ZoomInfo's B2B data with a customer's CRM records, conversation transcripts, email interactions, and behavioral signals into a graph that connects them.

A CRM records that a deal moved stages. Conversation intelligence captures what the VP of Finance said on the last call. Intent data logs a spike in research activity. The GTM Context Graph connects these signals to explain why the deal moved, linking executive sponsorship, ROI-focused questions, and third-party hiring signals into a pattern that predicts what happens next.

This capability exists because ZoomInfo spent twenty years building data unification infrastructure and acquired conversation intelligence tools (Chorus) that capture the context behind every customer interaction. Koala's AI agents researched publicly available information about leads. ZoomInfo's intelligence layer draws on your own deal history, conversations, and signals to identify patterns across thousands of deals.

"That combination of our internal CRM data, external signals, and AI that's given all that context has helped us craft very specific account- and persona-based messages. And people have responded to them right away." (Toby Carrington, CBO, Seismic)

GTM Workspace and GTM Studio: Dedicated execution tools for sellers and operators.

Koala's execution layer consisted of the Magic Inbox (a prioritized lead feed) and Coach (AI-drafted outreach). ZoomInfo provides dedicated front-ends for different roles, all powered by the same intelligence.

GTM Workspace is where sellers work. It consolidates the full book of business across CRM, ZoomInfo data, conversation history, and market intelligence into a single view. AI agents handle account research, outreach generation, CRM updates, and signal monitoring. An Action Feed delivers a live stream of in-market buyers with pre-drafted actions on every signal. GTM Workspace users have reported 23% larger pipelines and nearly 60% more meetings per week.

GTM Studio is the canvas for marketers, RevOps, and GTM engineers. Teams build audiences using natural language, enrich with first- and third-party data, define triggers, and activate multi-channel plays (email, calls, ads, direct mail) without engineering support. Plays run continuously and improve as prospects respond. Expansion plays that used to take 3 weeks now launch in 30 minutes.

"Anything that minimizes our team's need to switch contexts is beneficial. ZoomInfo offers a unified view, eliminating the need to navigate between systems." (Ben Perceval, RevOps Manager, Spekit)

APIs and MCP: The same intelligence available in any tool or AI agent.

Koala offered webhooks (1,000/month on Growth) and integrations with a handful of platforms. ZoomInfo provides full API access to its entire data layer and GTM Context Graph.

The Enterprise API covers four areas: Data API (search and enrich contacts, companies, intent, and technologies), Copilot API (AI intelligence including account summaries, lookalikes, and buying committee recommendations), Marketing API (audience management), and Engagements API (bidirectional engagement data). ZoomInfo's MCP server connects AI models directly to ZoomInfo data through natural language, currently supporting Claude and ChatGPT.

API access is included in all relevant plans. The intelligence powering GTM Workspace and GTM Studio is available in any custom application, internal tool, or third-party platform.

"The plug-and-play aspect of the API means I can integrate it very easily into any process and get information at a moment's notice." (Jerry Wilson, Senior Marketing Intelligence Analyst, BDO Canada)

Comprehensive B2B Data: Verified contacts at a scale Koala never offered.

Koala's data layer focused on behavioral signals. It did not maintain a contact database, did not provide direct-dial phone numbers, and did not offer business email verification at scale. When reps needed to reach someone, they turned to external tools.

ZoomInfo's data spans 500M contacts, 100M companies, 135M+ verified phone numbers, 120M direct-dial phone numbers, and 200M+ verified business email addresses. The data flows through a pipeline that combines automated ML scanning of 28 million site domains daily, third-party partners covering 95 million businesses, a community of 200,000+ ZoomInfo Lite users who share data back, and 300+ human researchers. In a Fortune 500 competitive RFP analyzing 25 million contacts across vendors, an independent consultant concluded that "no other competitor came even close."

This data advantage compounds with signals: when ZoomInfo detects that an account is in-market, it can immediately surface verified contact information for the buying committee, the org chart showing decision-makers, and the technographic profile revealing the account's current stack.

Koala or ZoomInfo: Comparison Summary

Final Verdict

Koala earned its reputation as a well-designed PLG sales tool. The 5.0 G2 rating, the adoption among developer-tool companies, and the first-party signal architecture reflected a team that understood a specific problem well. But the acqui-hire by Cursor and subsequent shutdown revealed the fragility of building a business on signal detection alone, without the verified data layer and execution infrastructure needed to sustain an independent platform.

Koala was the right choice if you were a Series A-to-C PLG SaaS company that needed to turn product usage data into a prioritized lead queue for a small BDR team. For that narrow use case, nothing matched its combination of fast setup, clean UX, and PLG-native signal capture.

ZoomInfo is the right choice now for any team that needs signal intelligence backed by broad B2B data, an intelligence layer that captures why deals move and stall, and execution tools that work for sellers, marketers, and RevOps alike. ZoomInfo provides what Koala offered (intent signals, account prioritization, AI-assisted outreach) plus everything Koala did not: verified contacts, direct-dial phone numbers, conversation intelligence, multi-channel orchestration, and full API and MCP access. It is a public company with $1.25 billion in annual revenue and the financial stability to keep investing in all three pillars.

Get started with ZoomInfo here.

Koala AI FAQ

What happened to Koala?

Cursor (Anysphere) acqui-hired Koala on July 18, 2025, five months after Koala raised a $15M Series A from CRV and HubSpot Ventures. Cursor acquired the team, not the product. Koala shut down on September 30, 2025. The Koala team's signal-processing and AI agent expertise is reportedly being applied to enterprise developer workflow intelligence at Cursor.

What did Koala do?

Koala was a signal-based selling platform designed for B2B SaaS companies with product-led growth motions. It combined first-party website behavior, product usage data, and third-party signals into a single account view, then used AI to prioritize leads, qualify accounts, and draft personalized outreach. It served companies like Vercel, Retool, Segment, and Deepgram.

Who were Koala's customers?

Koala's customer base was concentrated among developer-facing and PLG-native SaaS companies. Verified logos included Vercel, Retool, Hightouch, Sanity, Dolby, Deepgram, Segment, OneSignal, and Mintlify. The platform was not widely adopted outside B2B SaaS developer tools.

How much did Koala cost?

Koala's pricing ranged from a free plan (2 seats, 100 credits/month) to a Starter plan at $200/month, a Growth plan at $1,000/month, and a custom-priced Business plan. Features like SEP integrations, data warehouse connections, and territory routing were restricted to the Business tier. These prices are historical, as the product no longer exists.

What alternatives are available now that Koala has shut down?

For teams that need signal intelligence with verified contact data and execution tools, ZoomInfo is the most complete option. ZoomInfo combines buyer intent data, 500M contacts with verified phone numbers and emails, AI-driven execution workspaces, and full API and MCP access. Other tools in the category include Common Room, Pocus, and Warmly for signal-focused approaches, or 6sense and Demandbase for enterprise ABM.

Did Koala provide contact data like phone numbers and emails?

No. Koala focused on behavioral signals and identity resolution rather than maintaining a contact database. It identified which accounts showed intent and which individuals were active, but did not source direct-dial phone numbers or verified business emails at scale. Teams typically supplemented Koala with separate contact data providers or enrichment tools. ZoomInfo includes 135M+ verified phone numbers, 120M direct-dial numbers, and 200M+ verified business emails as part of its core platform.

Was Koala suitable for companies outside B2B SaaS?

Koala's value was tied to the PLG motion common in B2B SaaS. For sales-led companies with no free product tier, the product usage signal layer had no data to work with, reducing Koala to a basic website intent tracker. Companies in non-SaaS verticals, enterprise organizations with existing intent infrastructure, and teams needing full outreach execution found limited fit.