How much does Kana cost?

No public rate card retrieved this session; Kana positions itself as a build with partner lining up pilots with enterprise brands, consistent with custom enterprise pricing.

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Kana

Q: Who is Kana for?

Enterprise marketing teams, Media companies, CMOs and RevOps leaders

Also known as: Kana, Kana Intelligence, Kana.ai

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GTM / revenue agentindependentVerified 2026-07-08

AI native agentic marketing platform of loosely coupled, tailorable agents that plan, run, and optimize campaigns with human approval gates throughout.

Kana is an AI native agentic marketing platform that deploys purpose built, loosely coupled AI agents for marketers and media companies. Rather than one monolithic tool, Kana orchestrates highly aligned but loosely coupled agents that can be tailored on the fly and assigned to distinct jobs across the customer journey: a marketer can upload a media brief and one agent refines the goals and KPIs, another evaluates first party signals in the CDP, a planning agent proposes channel mix and budgets, and an optimization agent runs experiments and shifts spend as performance data arrives, with autonomous tracking, optimization, and reporting throughout. It leans on proprietary Just In Time Data Integration to connect to existing systems without infrastructure changes and on synthetic data generation to fill gaps in third party data. A core design principle is augmented intelligence: marketers review, approve, edit, coach, and reroute agent work in the flow, with role based controls for brand safety, so agents move fast without touching budgets or going live unapproved.

Vendor details

Canonical URL

https://www.kana.ai

Funding status

Seed round of 15 million dollars (February 2026) led by Mayfield, with managing partner Navin Chaddha joining the board, after a nine month incubation inside the super{set} startup studio. San Francisco based, co founded by Tom Chavez (CEO) and Vivek Vaidya (CTO), serial entrepreneurs with over 25 years in marketing technology whose prior companies Rapt (acquired by Microsoft) and Krux (acquired by Salesforce for 700 million dollars) helped shape modern ad and data platforms.

Company status

independent

Use cases & customers

Primary use cases

Agentic marketing campaign planning and optimizationAudience targeting and data analysisMedia planning and reporting automationAnswer engine optimization and churn prevention

Target customers

Enterprise marketing teamsMedia companiesCMOs and RevOps leaders

Deployment options

SaaS

Integrations

Proprietary Just In Time Data Integration connects to existing marketing and media systems without disruptive infrastructure changes, and agents call out to ad platforms, analytics, CDPs, and data providers, then reason over the responses.

Sources & related URLs

Research sources

https://www.kana.ai/ https://techcrunch.com/2026/02/18/kana-emerges-from-stealth-with-15m-to-build-flexible-ai-agents-for-marketers/ https://www.businesswire.com/news/home/20260217482797/en/

Capability coverage

8.5 / 14 capabilities · 61%

Integrations & Tool CallingKana's proprietary Just In Time Data Integration connects to existing marketing and media systems without disruptive infrastructure changes, and its agents call out to ad platforms, analytics, CDPs, and data providers per the launch coverage and kana.ai.	Full
Workflow OrchestrationKana intelligently orchestrates highly aligned, loosely coupled AI agents assigned to distinct jobs, from refining a brief to identifying audiences, planning channel mix, and running autonomous tracking and optimization, working simultaneously per TechCrunch and kana.ai.	Full
Knowledge Grounding & RAGKana structures campaign performance data, customer insights, and business context dynamically and grounds agents in first party data and the CDP, augmenting gaps with synthetic data generation per the launch coverage.	Full
Human Oversight & GuardrailsKana's augmented intelligence design keeps marketers in the loop to review, approve, edit, coach, and reroute agent work in the flow before anything goes live, with role based controls for brand safety and policy compliance per the launch coverage.	Full
Security, Identity & GovernanceKana applies role based controls for brand safety and compliance with internal policies and fits customer governance models and data contracts, but no named infosec certification was retrieved and analysts note safety guardrails are still a proving ground.	Partial
Observability & AuditabilityKana provides campaign tracking, reporting, and reviewable outputs, but deep agent observability such as transparent logs and test harnesses is noted by analysts as a proving ground rather than fully established this session.	Partial
Memory & State PersistenceKana structures and retains campaign and customer context and adapts agents as campaigns evolve, though an explicit persistent memory architecture was not detailed this session.	Partial
Deployment & Data ResidencyKana is cloud SaaS that integrates non disruptively into the customer's existing stack; a self hosted or data residency option was not documented this session.	Partial
Prebuilt Agents / Templates / PacksKana ships purpose built marketing applications and rapidly composes reusable, configurable domain specific agents for data analysis, targeting, planning, optimization, answer engine optimization, and churn per kana.ai and the launch coverage.	Full
Triggers & Channel CoverageKana runs autonomous cross channel campaign tracking and shifts budgets as performance data arrives, detecting behavioral signals early, an event driven optimization loop rather than documented multichannel communication intake per kana.ai.	Partial
Model Flexibility & RoutingKana runs agentic AI internally, but a customer selectable model or model routing was not documented this session.	Unable to verify
APIs / SDKs / MCP ExtensibilityKana's agents are highly configurable and composable and can be tailored on the fly under a build with model, but a public developer API, SDK, or MCP endpoint was not confirmed this session.	Partial
Testing, Debugging & OptimizationKana's optimization agents set experiments and it uses synthetic data to test scenarios and coaching feedback to refine agents, with shadow mode rollouts expected, an experimentation and optimization loop rather than a formal agent evaluation framework.	Partial
Browser / Computer-useNo browser driving or computer use capability; Kana operates as an orchestration layer over marketing systems rather than a browser or GUI.	Unable to verify

Recent platform changes

No recent material changes tracked yet.

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Pricing

Custom (contact sales)

Contact onlyMedium variable cost

Cost watchouts

Pricing was not disclosed; a build with, highly tailored delivery model can carry implementation and support cost beyond a base platform fee.

Variable cost rationale

A tailored build with model plus agent usage across campaigns suggests implementation plus usage cost; the exact unit was not retrieved this session.

Sales call required

Yes — required for paid access

Key ambiguities

No public entry price; whether billing is per seat, per agent, or a platform fee was not retrieved this session.

Verified 2026-07-08

Official pricing page

Data confidence: high