Moveo.AI
Also known as: Môveo.AI
Enterprise conversational AI platform for building proactive, goal driven customer experience agents, used by banks and insurers across chat, voice, and messaging, with on premises deployment and private models.
Moveo.AI is an enterprise conversational AI platform for building proactive, goal driven customer experience agents. Headquartered in New York with offices in Athens, where it was founded in 2020, and Sao Paulo, the company has raised more than twelve million dollars and serves over two million monthly active users in more than twenty languages. It works with enterprises such as Allianz, Alpha Bank, National Bank of Greece, Edenred, and Kaizen Gaming, and it focuses on high stakes industries like banking, insurance, and debt collection where conversations are tied directly to revenue and risk.
What sets Moveo apart is its proactive, goal driven design. Rather than only answering questions, its agents start conversations, manage objections, and push toward outcomes like completing a payment, activating a card, or retaining a customer, drawing on real time data from a company's own systems. Using its Auto Builder, a business user can describe an agent in plain text and have it turned into a ready conversational flow with no code. The vendor says memory travels with the customer rather than the ticket and that agents self improve by learning from past interactions.
The platform reaches customers on the channels they actually use, including chat, voice through telephony, email, WhatsApp, Facebook Messenger, and Viber, and it runs proactive outbound campaigns down to a segment of one. It connects to customer relationship management systems, Zendesk, Intercom, and internal data sources, and it offers advanced analytics dashboards for monitoring agent performance and customer interactions.
At its core sit proprietary large language models, fine tuned for business conversations and hosted privately, which the company positions as outperforming general third party models for its customer experience use cases, and customers can also connect models from OpenAI, Azure OpenAI, Anthropic, Gemini and DeepSeek with their own keys.
Security suits its regulated buyers. Moveo is SOC 2 Type II certified and GDPR compliant, built in Europe with data handling designed around European rules, and it offers EU data residency along with private and on premises deployment inside a customer's own infrastructure. Live agents pick up complex cases through assignment modes, and compliance officers can review and adjust conversation flows. Simulations let a team test an agent against scripted scenarios before it goes live. Its main gap is general computer use, which is not offered.
Vendor details
Canonical URL
https://moveo.ai
Category
Agent builder
Subcategory
Proactive conversational agent platform for collections, retention and service in regulated financial sectors
Funding status
Independent, founded 2020 in Athens, headquartered in New York with offices in Athens and Sao Paulo. More than $12M raised. The vendor cites over two million monthly active users, more than twenty languages, and over a hundred enterprise customers including Allianz, Alpha Bank, National Bank of Greece, Edenred and Kaizen Gaming, concentrated in banking, insurance, debt collection, utilities, telecommunications and gaming. Google Cloud partnership. Sold sales-led with session-based subscription pricing; a published entry tier covers 10,000 meaningful conversations.
Company status
independent
Use cases & customers
Primary use cases
Deployment options
Integrations
Native integrations cover Zendesk, Intercom and WhatsApp, with CRM systems and internal data sources supplying real-time customer context. Dialogs connect to external services via webhooks and execute task automation including sending emails and updating databases, so integrations are write paths rather than lookups, and AI Agents can also call external MCP servers as tools. Channels span chat, voice through telephony, email, SMS, WhatsApp, Facebook Messenger and Viber across more than twenty languages, with proactive outbound campaigns personalized to a segment of one. Knowledge grounding runs through Collections, which ingests a website re-crawled every 24 hours, a help center, and CSV, PDF and HTML documents, queried by retrieval augmented generation alongside configurable guidelines. Models are Moveo's own proprietary LLMs, fine-tuned for business conversations and hosted privately, or models from OpenAI, Azure OpenAI, Anthropic, Gemini and DeepSeek that the customer connects with its own key and sets per channel. Deployment covers managed cloud, private and on-premises inside the customer's infrastructure, with EU data residency.
In practice
A bank wants to lift debt collection recovery. A Moveo agent proactively reaches out on WhatsApp, references the customer's payment history, gauges sentiment, and offers a personalized repayment plan within one automated, compliant conversation, improving payment likelihood.
An insurer is buried in repetitive partner questions. It deploys a Moveo agent that resolves most conversations with no human intervention across chat and voice, freeing human agents to focus on the complex cases that need judgment.
A customer activates a new card but never uses it. Moveo proactively messages them with relevant rewards and benefits to prompt a first purchase, turning a support channel into a revenue and engagement driver.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
12.0 / 14 capabilities · 86%
| Integrations & Tool Calling | Full |
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AI Agents call tools in the form of webhooks and external MCP servers, which the customer adds and tests, and Dialogs connect to external services via webhooks and run task automation such as sending emails and updating databases. The plans page adds custom webhooks connecting to the customer's own APIs, maintained by Moveo, alongside native Zendesk, Intercom and messaging channels. Through these custom tools the agents take authenticated action in outside systems. Sourcedocs.moveo.ai Moveo MCP server page, moveo.ai our-plans pageread 2026-09-29 |
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| Workflow Orchestration | Full |
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The vendor's documentation states Dialogs provide multi-step workflows guiding users through complex processes, conditional logic creating branching paths based on user input, API integrations connecting to external services via webhooks, and task automation executing specific actions including sending emails and updating databases. Dialogs are documented as complementing the knowledge and guidelines approach when deterministic structured workflows are required. Agents are documented as proactive and goal-driven, initiating conversations, managing objections and driving toward outcomes such as completing a payment, activating a card or retaining a customer, with handoff to live agents for complex cases. Sourcedocs.moveo.ai AI Agents overview and Dialogs documentation, moveo.ai product pagesread 2026-08-31 |
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| Knowledge Grounding & RAG | Full |
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The vendor's documentation states AI Agents operate using a knowledge-based system combining a knowledge base of curated information from various sources with customizable guidelines, answering user queries using retrieval augmented generation. The Collections knowledge layer accepts data sources including a website re-crawled every 24 hours, a help center, and CSV, PDF or HTML documents, so the corpus tracks its sources on a schedule rather than being loaded once. Past chat logs can be uploaded as training and grounding material. Agents additionally draw real-time customer data from CRM and internal systems for personalization. Sourcedocs.moveo.ai AI Agents overview and knowledge documentation, moveo.ai product pagesread 2026-08-31 |
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| Human Oversight & Guardrails | Partial |
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Autonomous payment-recovery campaigns run under a required compliance profile that enforces quiet hours, frequency caps and stop-contact requests, and changes to an AI Agent or knowledge base go to a draft that customers do not see until published. The plans page lists smart escalation and live agent transfer, and simulation criteria test that an agent hands over when a customer asks for a human. Those are constraints, a design-time publish step and agent-initiated escalation. No approval step or pending-action queue in the run path before an agent acts is described. Sourcedocs.moveo.ai Campaigns overview, Moveo MCP server and Simulations pages, moveo.ai our-plans pageread 2026-09-29 |
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| Security, Identity & Governance | Full |
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SOC 2 Type II covering security, availability and confidentiality, ISO 27001, and HIPAA compliance with a BAA available are all stated in the documentation, which points to a Trust Center carrying certifications and reports, security practices, data protection measures and penetration test summaries. The same page links Single Sign-On configuration and role-based access control through Permissions, and the MCP server documentation states only Admins and Owners can create API keys and that browser sign-in cannot change account settings, members, billing or keys. Sourcedocs.moveo.ai Security and Compliance and Moveo MCP server pagesread 2026-09-29 |
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| Observability & Auditability | Full |
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Logs replay production conversations in the administrator view, showing for each turn the predicted intents with their confidence scores and the conversation context including variables and user information, with an AI Agent log view intended for debugging individual agents and filters by channel, coverage, containment, tags and ratings. That is a per-turn record of the agent's own decisions rather than a transcript alone. The Moveo MCP server can read session transcripts, and the API reference index lists session and log-content endpoints. The logs page does not say whether webhook or tool calls appear in the production log. Sourcedocs.moveo.ai Logs and Moveo MCP server pagesread 2026-09-29 |
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| Memory & State Persistence | Partial |
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Conversation context is held as variables and user information through a session, visible per turn in the logs, and simulation criteria can assert on the final session context. The vendor's marketing states memory travels with the customer rather than the ticket and that agents learn from every interaction. No agent-written store that persists across sessions with a defined scope, lifetime or purge path and customer review or deletion is documented. Sourcedocs.moveo.ai Logs and Simulations pagesread 2026-09-29 |
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| Deployment & Data Residency | Full |
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Private Deployment on the Enterprise plan, as the plans page lists it, installs Moveo.AI on any cloud such as Google Cloud or in on-premises environments, with a customized data processing agreement and data isolation. The documentation names three hosting regions for accounts, Europe, the United States and Brazil, each with its own service endpoint. Sourcemoveo.ai our-plans page, docs.moveo.ai Moveo MCP server pageread 2026-09-29 |
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| Prebuilt Agents, Templates & Packs | Full |
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Pre-built templates appear on the plans page as customizable templates for industry-specific use cases, and the AI Agents overview states agents come in types each trained for a specific use case, some with predefined guidelines the customer completes. The campaigns documentation ships two campaign types, Outreach and Payment recovery, the latter with selectable goals such as promise to pay and compliance profiles, each doing its own job independently of the other. How many templates and agent types there are rests on the vendor's description. Sourcemoveo.ai our-plans page, docs.moveo.ai Campaigns overviewread 2026-09-29 |
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| Triggers & Channel Coverage | Full |
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Campaigns can send immediately or be scheduled for a future launch with date, time and timezone, outreach campaigns retry with a fallback when delivery fails and follow up when a contact stays silent, and with autonomous actions enabled the AI Agent chooses channel, message and timing per contact toward a set goal. The scheduled launch and the follow ups fire without a user prompt. Replies across channels route to the AI Agent, and the plans page lists web, SMS, email, WhatsApp, Viber, Facebook, Google Chat, Intercom and Zendesk channels with a custom channel API. Sourcedocs.moveo.ai Campaigns overview, moveo.ai our-plans pageread 2026-09-29 |
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| Model Flexibility & Routing | Full |
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Customers can connect large language models from external providers, among them OpenAI, Azure OpenAI, Anthropic, Gemini and DeepSeek, by adding a provider under Deploy, Developer Tools, LLMs with their own API key and choosing the model from a dropdown. Connected models are listed with provider, model, creator and last use, and the model strategy guide configures which models power an AI Agent on each channel. The vendor's plans page still markets proprietary large language models, which remain one option among the connected providers. Sourcedocs.moveo.ai Language Models page, moveo.ai our-plans pageread 2026-09-29 |
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| APIs, SDKs & MCP Extensibility | Full |
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A first party MCP server offers regional endpoints for Europe, the United States and Brazil, browser sign-in or an API key of type Manage sent as documented headers, and about 100 tools covering the platform's own objects: creating, cloning, training, publishing, comparing and rolling back AI Agents, changing guidelines and workflows, managing knowledge bases, environments and routing rules, and running simulations. The documentation site also carries a REST and analytics API reference, with endpoints for brains, dialogs, collections, campaigns and API keys listed in the vendor's docs index. Both routes let an outside caller drive the platform. Sourcedocs.moveo.ai Moveo MCP server page and API reference indexread 2026-09-29 |
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| Testing, Debugging & Optimization | Full |
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Simulations work as regression tests for an AI Agent: the customer writes a scenario and success criteria, a simulated customer plays the scenario through the agent's real production pipeline over chat, email or voice, and an evaluator grades the finished conversation pass or fail with written reasoning. Criteria can assert on tool calls, webhooks fired, handover, fallback responses and final context variables. Runs can be launched singly, in bulk or on a weekday, weekly or monthly schedule, and the Runs tab reports success rate, failures and duration per run. Simulations require a paid plan. Sourcedocs.moveo.ai Simulations pageread 2026-09-29 |
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| Browser & Computer Use | Not documented |
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Agents answer using retrieval over a knowledge base, and Dialogs handle deterministic requirements through API integrations connecting to external services via webhooks and task automation executing actions such as sending emails and updating databases, all of which are programmatic interfaces. Channels are conversational surfaces including chat, voice, email, SMS, WhatsApp, Messenger and Viber. No browser control, navigation, form filling, screen interaction, desktop automation or interface-level operation of third-party software is documented, and the vendor makes no such claim. Sourcedocs.moveo.ai AI Agents and Dialogs documentation, moveo.ai home and product pagesread 2026-08-31 |
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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
Recent platform changes
Moveo.AI introduced a feature allowing users to automatically create AI agents based on past conversation data. The release also includes a new simulation capability to test AI agents prior to deployment.
Bears on: Observability / auditability
View sourcePricing
Contact for pricing
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Alternatives to Moveo.AI
The closest documented capability profiles to Moveo.AI among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- SnapLogic12.0 / 14Matches Moveo.AI across all 14 documented capabilities
- OutSystems12.5 / 14Fuller documented coverage on Human Oversight & Guardrails
- Retool11.5 / 14A lighter documented profile than Moveo.AI
- AgentX12.0 / 14Fuller documented coverage on Human Oversight & Guardrails
- Airia12.0 / 14Fuller documented coverage on Human Oversight & Guardrails
- Airtable11.0 / 14A lighter documented profile than Moveo.AI
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded