Korl
Korl is a multi agent platform for customer facing teams. It turns scattered product and customer data into personalized, on brand QBR, roadmap and renewal presentations delivered before each milestone.
Korl is an agentic AI platform that helps customer success and account teams at B2B software companies turn scattered product and customer data into personalized, customer ready presentations and messages. Data agents gather, enrich, and structure information from sources like Jira, Google Docs, Figma, and Salesforce using a proprietary auto mapper, building a holistic view of a company's products and each customer, and a presentation agent drafts on brand decks, talk tracks, and emails for roadmap reviews, quarterly business reviews, and renewals.
Korl grounds content in real product capabilities and roadmap, fills gaps, and ties features to each customer's goals and usage, then proactively delivers ready to review materials to the inbox ahead of key milestones on a configurable schedule. It orchestrates an ensemble of models across OpenAI, Google Gemini, and Anthropic, choosing the best model per task by speed, accuracy, and cost, and replicates brand guidelines from an uploaded deck. Founded by former Google and Salesforce product leaders and venture backed, Korl reports early net revenue retention gains for mid market software teams.
Vendor details
Canonical URL
https://www.korl.co
Category
GTM / revenue agent
Funding status
Seed (Underscore VC, Stage 2 Capital)
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Korl connects to Jira, Google Docs, Figma, Salesforce, Slack and email, with a proprietary auto mapper that links diverse enterprise data schemas. It delivers through slides, email and Slack.
In practice
Your account team has a QBR coming up. Korl delivers a deck to the inbox ahead of the meeting, with usage metrics, roadmap updates and value opportunities drawn from Jira, Salesforce and the customer's usage history.
Your team wants every customer deck on brand. Korl recreates the brand, styles, layouts and images from an uploaded presentation as a reusable template and fills it with each customer's data.
Your account manager is heading into a renewal. Korl generates the materials ahead of the milestone on timing driven by CRM data, and the account manager reviews, refines and sends them.
Sources & related URLs
Agentic Index coverage score
6.5 / 14 capabilities · 46%
| Integrations & Tool Calling | Partial |
|---|---|
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A customer points Korl at Jira, Google Docs, Figma and Salesforce, and a proprietary auto mapper links the schemas. Delivery runs through slides, email and Slack. The agents gather, enrich and structure the data, then produce a deck or a draft message that arrives in the user's own inbox for review. Korl does not say that it writes back to Salesforce, updates a Jira record or sends anything to a customer on its own. Sourcekorl.co and korl.co/resources/faqread 2026-09-01 |
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| Workflow Orchestration | Full |
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Work runs through multi agent pipelines, with data agents that gather, enrich and structure data and a presentation agent that drafts and delivers materials. Sourcekorl.coread 2026-10-01 |
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| Knowledge Grounding & RAG | Full |
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Data agents gather, enrich and structure information from Jira, Google Docs, Figma and Salesforce. A proprietary auto mapper links schemas across those sources into a joined view of the company's product capabilities and roadmap, alongside each customer's usage history, business priorities and lifecycle stage. Building this structure is the core of the product. Once connected to Jira, the agent studies existing and planned capabilities to work out how to map and import new ones, and it fills gaps in the picture instead of leaving them blank. The structure persists, refreshes from its sources and is queried whenever a deck or message is generated, instead of being assembled for each prompt. Sourcekorl.co, korl.co/resources/faq and VentureBeat coverageread 2026-09-01 |
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| Human Oversight & Guardrails | Partial |
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Decks ready for a QBR and drafted messages go to the user's inbox ahead of a milestone. An account manager reviews, refines and sends them, so nothing reaches a customer without a person. Korl names no approval queue, autonomy setting or permission scope that the customer configures over what the data agents may read or the presentation agent may assert. It names no gate on the ingestion and mapping, which run continuously. Sourcekorl.co and korl.co/resources/faqread 2026-09-01 |
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| Security, Identity & Governance | Partial |
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SOC 2 compliance is claimed, and a subprocessor list is published beside the terms and privacy policy. Korl names no SSO, roles or permissions the customer operates. The SOC 2 report is not published, and Korl does not say how access is controlled. Sourcekorl.coread 2026-10-01 |
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| Observability & Auditability | Not documented |
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Customer usage analytics are rendered into decks. Korl names no agent action log, audit logging or other record of what the agents did. Sourcekorl.coread 2026-10-01 |
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| Memory & State Persistence | Not documented |
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The linked context Korl keeps is the mapped view of product capabilities, roadmap and customer attributes built from Jira, Google Docs, Figma and Salesforce, kept current from its sources. Korl names no memory feature with a scope or lifetime. It does not say whether state carries between generations, such as what was said to a customer last quarter shaping the next deck. Sourcekorl.co and korl.co/resources/faqread 2026-09-01 |
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| Deployment & Data Residency | Not documented |
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The product is SaaS only, so there is no self hosted option, and no data residency choice is published. Sourcekorl.coread 2026-10-01 |
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| Prebuilt Agents / Templates / Packs | Full |
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Prebuilt presentation types cover the recurring customer moments of quarterly business reviews, roadmap discussions and renewals. Customizable QBR templates cover executive summary, usage metrics, roadmap updates and value opportunities. A customer can also upload a recent presentation, and Korl recreates the brand, styles, layouts and images as a reusable template, then populates it with their data. Usage data is extracted and visualized automatically, with graphs rendered and annotated. Teams switch these on instead of building them. Sourcekorl.co/use-cases/quarterly-business-reviews and korl.coread 2026-09-01 |
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| Triggers & Channel Coverage | Full |
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Materials are generated and delivered on their own ahead of milestones such as QBRs and renewals, with configurable timing driven by CRM data. Sourcekorl.coread 2026-10-01 |
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| Model Flexibility & Routing | Partial |
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Requests are routed across providers. Korl orchestrates an ensemble across OpenAI, Google Gemini and Anthropic and selects the best model per task on speed, accuracy and cost. The choice belongs to Korl, and it names no way for a customer or admin to select a model, bring a key or pin a provider for any step. SourceVentureBeat coverage quoting Korl's founders and korl.co; venturebeat.com/ai/how-openai-gemini-and-anthropic-help-korl-prepare-customer-materials-in-minutesread 2026-09-01 |
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| APIs / SDKs / MCP Extensibility | Not documented |
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Outside tools connect to Korl as data sources, but Korl names no public API, SDK or MCP server of its own. Sourcekorl.coread 2026-10-01 |
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| Testing, Debugging & Optimization | Partial |
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Quality checks run on the agent's own output, and customers do not drive them. Field match scoring rates how well source data maps into a generated asset, and brand accuracy validation checks the asset against the recreated template. Korl names no evaluation harness, scored test set, release gate the customer configures, sandbox for trying a change before customers see it, or controlled comparison. Sourcekorl.co and korl.co/resources/faqread 2026-09-01 |
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| Browser / Computer-use | Not documented |
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Korl does not say whether its agents use a browser or a computer. Sourcekorl.coread 2026-10-01 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
No public pricing; contact Korl
A free tier plus paid plans that scale with usage and team size; paid rates not public.
Cost watchouts
Paid pricing is not published, so budgeting beyond the free tier requires a sales conversation.
Variable cost rationale
A free tier exists, and paid cost scales with usage, connected data sources, and team size; paid rates are not public.
Sales call required
Mixed (some tiers require a call)
Free / trial
No free plan shown on the site
Lowest paid plan
Not publicly listed.
Key ambiguities
No free option is shown on the site and no paid tier is published.
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Alternatives to Korl
The closest documented capability profiles to Korl among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- BambooBox5.5 / 14A lighter documented profile than Korl
- Epiminds7.0 / 14Adds documented Memory & State Persistence
- Inventive AI7.0 / 14Adds documented Observability & Auditability
- Connected-Stories5.5 / 14Adds documented Observability & Auditability
- Kana7.5 / 14Adds documented Memory & State Persistence
- LexAxiom5.5 / 14Adds documented Observability & Auditability
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded