Epiminds vs Kana (2026)

Lucy takes action across every platform, adjusting budgets, optimizing ads and launching updates. She connects directly to client ad accounts on Google, Meta and TikTok to read live metrics and execute changes. Integrations span advertising channels, CRMs, ecommerce, analytics, data warehouses and trend platforms for one view of performance, and Lucy is reachable in Slack and by email. Spend changes happen in the live ad account itself, not as suggestions handed back.

Sourceepiminds.comread 2026-09-01

Agents in Kana analyze data, adjust ad bids, optimize audiences and protect brand visibility autonomously. The platform plans multi step workflows and executes them across the customer's tech stack. A proprietary Just In Time Data Integration supplies the reach, connecting to existing marketing and media systems without infrastructure changes. Agents call out to ad platforms, analytics tools, CDPs and third party data providers and reason over the responses. They adjust live bids themselves instead of handing back a recommendation.

Sourcekana.ai/faq and kana.airead 2026-09-01

The product is built as a multi agent system. Lucy, an AI marketing manager, coordinates more than twenty specialized agents across reporting, optimization, budget pacing, bidding, creative analysis, audits, competitive insight and strategic planning. Each agent knows what the others are doing, and the chain runs from fetching data through analysis and recommendation to execution. Epiminds calls it a living system rather than a dashboard, and work runs continuously in the background instead of as one off generations.

Sourceepiminds.comread 2026-09-01

Highly aligned, loosely coupled AI agents each take a distinct job, from refining a brief to identifying audiences, planning channel mix, and running autonomous tracking and optimization. Kana orchestrates them intelligently, and they work simultaneously.

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Work comes to Lucy and her agents by three routes. In the background, Lucy runs assigned tasks and workflows on autopilot and manages them continuously, monitoring accounts across every channel without being asked. Signals in the data start work too, since agents proactively flag risks such as budget pacing problems before they hurt performance. And in conversation, an agency chats with Lucy in Slack or emails her with questions and tasks, so she works where the team works.

Sourceepiminds.comread 2026-09-01

The agents track campaigns continuously and adjust bids, audiences and budgets as performance data arrives, without a person starting the work. The platform identifies patterns, risks and behavioral signals in real time.

Sourcekana.ai/faqread 2026-10-01

Agencies upload playbooks, training docs and client context. Lucy adapts to the agency's methods and preferences and, over time, mirrors how the team thinks and operates. That material persists for each agency and is read when agents analyze and act, alongside the live campaign data pulled from connected accounts. Epiminds says the agents are trained on this material, though what it describes is upload and adaptation, not fine tuning.

Sourceepiminds.comread 2026-09-01

Campaign performance, customer insight and business context are structured into a layer the agents reason over. The layer grounds them in the customer's first party data and CDP. It also combines external market signals with proprietary data in one workspace, and synthetic data generation fills gaps in third party coverage. The customer's data stays where it is, because the Just In Time Data Integration reaches it in place instead of requiring a migration. The layer persists and is queried as campaigns run, not assembled per prompt.

Sourcekana.ai/solutions and kana.ai/faqread 2026-09-01

The agents run continuously against the same accounts, so campaign history and pacing state carry from one run to the next. Epiminds names no memory feature and gives none a scope or lifetime. The playbooks, training docs and client context each agency uploads persist as grounding material. Epiminds also says Lucy learns each agency's methods and improves with every campaign, but describes no store an agent writes to and reads back.

Sourceepiminds.comread 2026-09-01

The operating layer is built to learn, so a marketer's judgment and decisions compound instead of being rebuilt from scratch each time. Agents adapt as a campaign evolves, and state carries between runs. Kana names no memory feature and gives no scope or lifetime. The campaign, customer and business context that persists lives in the knowledge layer.

Sourcekana.ai and kana.ai/blogread 2026-09-01

The agency sets the boundary by choosing what to assign, not by gating what runs. Lucy runs assigned tasks and workflows on autopilot and manages them continuously in the background. Those tasks include adjusting budgets, optimizing ads and launching updates in live ad accounts. Epiminds names no approval step before a spend change, no review queue, no autonomy setting and no permission scope for each action.

Sourceepiminds.comread 2026-09-01

Augmented intelligence is the design principle. Marketers review, approve, edit, coach and reroute agent work in the flow. Agents move fast without touching budgets or going live unapproved, so spend changes and live launches stop for a person. Role based controls set what agents may do for brand safety and policy compliance. Agents act autonomously while the marketing team supervises.

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No security posture is published. The site has no security, trust or compliance page, and Epiminds names no attestation, certification, single sign on, role based access control, audit logging, encryption statement or subprocessor list. In its privacy policy, Epiminds makes a no training commitment, states GDPR compliance and refers to appropriate organizational and technical measures. Epiminds is in closed beta, available to selected agencies.

Sourceepiminds.com and its privacy policyread 2026-09-01

The company claims SOC 2 compliance and displays SOC 2 Type II and HIPAA badges. A privacy consultant holds CIPP/E and CIPM credentials, which are personal, not company certifications. Kana names no SSO, roles or permissions the customer operates.

Sourcekana.ai/faqread 2026-10-01

The agency gets marketing reporting, not a record of what the agents did. Agents pull live performance metrics, surface insights and flag risks in the campaigns. Epiminds names no run history, activity log, action trail or failure record for the agency, and it names no feature behind its promise of no black box. VoltOps, the console of the VoltAgent framework Epiminds builds on, traces agents for Epiminds' own engineers and is not offered to customers.

Sourceepiminds.com and voltagent.dev case studyread 2026-09-01

Tracking and reporting cover campaign performance, and a marketer reviews agent outputs before approving them. Kana names no run log, action trail, decision trace or record of what an agent did and why.

Sourcekana.ai/solutions and kana.ai/faqread 2026-09-01

The service runs in the cloud only, with nothing the customer selects. No region choice, data center disclosure, VPC, private tenancy, self hosted or on premises option is published. Epiminds states GDPR compliance for EU and UK users and uses Stripe as its payment processor, but neither sets where data lives. No hosting location for agency or client data is published.

Sourceepiminds.comread 2026-09-01

Services are hosted in Kana's own environment on Google Cloud Platform. A just in time integration approach reads the customer's data where it sits. There is no region choice, private tenancy or self hosted option.

Sourcekana.ai/faqread 2026-10-01

An agency receives a named set of prebuilt agents, ready made. Lucy fronts more than twenty specialized agents covering reporting, optimization, budget pacing, bidding, creative analysis, audits, competitive insight and strategic planning. An agency onboards a client in under thirty seconds and has the team working immediately, without assembling it. The agency's own playbooks and templates shape how those agents behave, but the agents themselves arrive prebuilt.

Sourceepiminds.comread 2026-09-01

Solution areas cover data generation, campaign strategy validation and optimization, an insight layer combining external and proprietary data, answer engine presence, and churn prevention. The platform composes reusable, configurable, domain specific agents quickly. Applications are custom built to the client's goals and architecture and developed together with Kana's team. The solutions shown are examples of what has been delivered for customers, not a catalog to switch on.

Sourcekana.ai/solutions and kana.ai/partnersread 2026-09-01

The product is built on commercial large language models from OpenAI, Anthropic and Google, with proprietary layers that specialize them for marketing. Epiminds selects and combines the three providers itself. It names no way for an agency to pick a model, bring its own key or route work to a chosen provider. The company also plans an in house model specialized for marketing, which has not shipped.

Sourceepiminds.com and Forbes coverageread 2026-09-01

The platform has a model agnostic architecture with logical model roles such as planning, evaluation and summarization. The underlying providers are Anthropic, OpenAI and Google, accessed over their official APIs, and under contract they persist no customer data. New models are assessed as they are released. Kana routes work across the three providers by role and makes that choice itself. It names no way for a customer or admin to select a model, bring a key or pin a provider.

Sourcekana.ai/faqread 2026-09-01

Nothing an outside developer can call is published. Epiminds builds on VoltAgent, which lets its own engineers prototype and deploy new agents quickly but gives an agency no surface to build against. The site has no developer, documentation, API or status entry, and there is no docs subdomain. The integrations that exist point the other way, with Epiminds reaching into ad platforms and the marketing stack.

Sourceepiminds.com and voltagent.dev case studyread 2026-09-01

There is no public API, developer documentation or status page, and no docs subdomain. Instead, Kana's team builds bespoke agentic applications jointly with the client.

Sourcekana.ai/partners and the kana.ai site mapread 2026-09-01

Lucy improves over time by Epiminds' account, mirroring how the agency's team thinks and operates. Epiminds does not say what feeds that loop, what it tunes or how a change is measured. VoltOps traces live in Epiminds' own engineering console, not with the agency.

Sourceepiminds.comread 2026-10-01

Optimization agents run experiments on the media and shift budget as performance data arrives. Synthetic data generation fills gaps in third party data, so a marketer can test scenarios before committing. Nothing compares one agent configuration against another, no holdout runs on agent behavior, and the agent gets no scored verdict.

Kana mentions shadow mode rollouts only as expected. Evaluation is also one of Kana's internal model roles, not a tool the customer uses. Kana names no failure log, run inspection or error surface. Coaching lets a marketer correct an agent but returns no readable verdict.

Sourcekana.ai/solutions and kana.ai/faqread 2026-09-01

The agents act through direct integrations with ad platforms and the marketing stack, and Epiminds names no browser or computer use.

Sourceepiminds.com and coverage pages retrievedread 2026-07-08

As an orchestration layer over marketing systems, Kana does not drive a browser or GUI and has no computer use capability.

Sourcekana.airead 2026-10-01