# Alternatives to Maven AGI

> Source: https://theagentsindex.com/maven-agi/alternatives (current datasheets, evidence-ranked)

Candidates share the baseline category or are previously researched peers. Requirements, preserved strengths, explicit trade-offs and research coverage decide the order; paid tier does not.

## Shortlist

### 1. Ada

Enterprise AI customer service agents across voice, chat, email and messaging, with tools that act in your systems.

**Research coverage:** 35/35 criteria

**Where it improves on Maven AGI:**
- [Writes code: partial — Not a developer product: the only code it writes is the sandboxed Python of an Ada 'code tool', which a coding agent drafts from your plain-language description before a person promotes it.](https://www.ada.cx/platform/ada-computer/)
- [Open models: partial — Ada internally hosts open-source LLMs for contextual understanding only; reply generation runs on the commercial providers and the customer selects neither.](https://security.ada.cx/)
- [In your editor: partial — No IDE plug-in for the agent itself; what works in an editor is Ada's MCP server, which Cursor and VS Code can connect to in order to manage and analyse your agent.](https://docs.ada.cx/mcp/introduction/getting-started/other-mcp-clients)

**Trade-offs against Maven AGI:**
- [Model choice: no — Ada picks the models: it curates the portfolio, benchmarks candidates on accuracy, safety, latency and cost, and phases in updated versions itself, with no documented customer model selection.](https://www.ada.cx/platform/trust/)
- [Pooled budget: partial — Consumption is metered per end-user conversation at the agent level rather than against per-user allowances, but no balance, pool or overage mechanics are published.](https://www.ada.cx/platform/)

[View Ada](https://theagentsindex.com/ada)

### 2. Fin

Intercom's customer agent that resolves support conversations across chat, email, voice and social channels.

**Research coverage:** 35/35 criteria

**Where it improves on Maven AGI:**
- [How it meters: yes — Billing is per resolved outcome rather than per seat or per token, with a second, ten-times-higher rate for sales qualifications and no charge for a conversation simply passed to a human.](https://fin.ai/pricing)
- [Free tier: partial — You can start without a sales call, but only on a 14-day cardless trial: there is no standing free plan, though eligible early-stage startups get a year of Fin free under a separate programme.](https://fin.ai/pricing)

**Trade-offs against Maven AGI:**
- [Claude: partial — Anthropic is one of the providers Fin falls back to for resilience, but the answer model is Intercom's own Apex and the buyer is not offered a model picker, so Claude is under the hood rather than selectable.](https://fin.ai/trust-reliability)
- [GPT: partial — OpenAI models are part of the same automatic failover pool as Anthropic and Google, so GPT is used by the platform but is not a model the customer chooses or configures on any tier.](https://fin.ai/trust-reliability)
- [Model choice: no — The vendor chooses the model, not the buyer: answers come from Intercom's purpose-trained Apex suite and third-party providers are swapped in automatically, with no model selection published on any plan.](https://fin.ai/trust-reliability)

[View Fin](https://theagentsindex.com/intercom-fin)

### 3. IrisAgent

AI support agents that resolve chat, email, voice and text inside your existing helpdesk.

**Research coverage:** 33/35 criteria

**Where it improves on Maven AGI:**
- [Open models: partial — Open models are offered for the private, self-hosted deployment where weights run inside the buyer's own environment; the shared SaaS names only in-house or OpenAI-based models.](https://irisagent.com/on-premise-ai/)
- [Self-hosted: partial — Self-hosting is a separately purchased line, IrisAgent Private, installed in your data centre or your own AWS, Azure or GCP account; the standard Free and Standard plans are vendor-hosted SaaS.](https://irisagent.com/pricing/)
- [How it meters: yes — The published Standard plan is a monthly fee that scales with query volume, while the Managed Resolution line charges per resolved conversation with no seat or platform fee.](https://irisagent.com/pricing/)

**Trade-offs against Maven AGI:**
- [Agent permissions: partial — Autonomy is configurable per trigger: the same AI answer can be sent straight to the customer or posted as an internal note an agent approves, and enabling deflection everywhere is restricted to admins.](https://docs.irisagent.com/deploying-irisagent/Tickets)
- [Admin controls: partial — Admins control whether AI answers reach customers at all and scope them with trigger conditions, and role-based access is described for the private deployment; no general policy-engine documentation was found.](https://docs.irisagent.com/deploying-irisagent/Tickets)
- [Audit log: partial — A full audit trail on every interaction is promised for the private deployment; for the hosted plans only trigger activity counts over 1, 7 or 14 days are documented.](https://irisagent.com/on-premise-ai/)

[View IrisAgent](https://theagentsindex.com/irisagent)

### 4. Zendesk AI agents

Customer-service AI agents for messaging, email and voice, billed per automated resolution.

**Research coverage:** 35/35 criteria

**Where it improves on Maven AGI:**
- [How it meters: yes — Two meters at once: per agent seat per month for the plan, plus per automated resolution beyond the plan allowance ($1.50 committed, $2.00 pay-as-you-go).](https://www.zendesk.com/pricing/)
- [Free tier: partial — 14-day self-serve trial with no card; there is no permanent free tier, and startups can apply for a longer free program.](https://www.zendesk.com/service/ai/ai-agents/)
- [Bring your own key: partial — No bring-your-own-LLM-key or own-cloud inference. BYOK exists only as encryption-key control in a paid privacy add-on.](https://www.zendesk.com/trust-center/)

**Trade-offs against Maven AGI:**
- [Claude: partial — Claude is not what powers the agent; it is reachable as an external action in action flows using your own Anthropic key.](https://support.zendesk.com/hc/en-us/articles/10630133525018-Using-Claude-actions-in-action-flows)
- [Model choice: no — Zendesk selects the models: generative LLMs plus its own proprietary intent models. No model picker is documented.](https://www.zendesk.com/service/ai/ai-agents/)
- [MCP server: partial — Zendesk is an MCP client: AI agents can call tools on external MCP servers from Suite Growth / Support Team upward. No vendor-documented MCP server exposing the AI agents to other agents.](https://support.zendesk.com/hc/en-us/articles/11105393853210-Announcing-the-general-availability-of-the-MCP-client)

[View Zendesk AI agents](https://theagentsindex.com/zendesk-ai-agents)

### 5. Aide

Governed AI agent that resolves customer conversations end to end inside Zendesk, Front, Gorgias or Gmail.

**Research coverage:** 30/35 criteria

**Where it improves on Maven AGI:**
- [Self-hosted: partial — Standard deployment is Aide's Azure US East 2 tenancy, but the vendor says it can provision into public or private clouds where residency demands it; that is vendor-provisioned, not customer-run, and no tier or terms are given.](https://aide.app/security)
- [How it meters: yes — One meter only, the conversation: each plan is a prepaid block, extra conversations bill at the plan rate ($0.50 on Starter down to $0.30 on Scale), and seats are never charged.](https://aide.app/pricing)
- [Free tier: partial — You can start without a sales call through the Shopify app, but only as a 14-day trial capped at 250 conversations with a card on file; the vendor states outright there is no standing free plan.](https://aide.app/pricing)

**Trade-offs against Maven AGI:**
- [Runs autonomously: partial — It resolves whole conversations without a human once a Scenario is approved, but only on intents your team deployed and only when confidence clears the threshold; everything else escalates.](https://aide.app/ai-agents)
- [Model choice: no — The vendor picks the models: it states it runs its own, and gives buyers a 90-day deprecation notice rather than a model choice, which is a vendor-controlled model path, not a customer-selected one.](https://aide.app/)
- [API access: partial — The API is for connecting your systems into Aide, not a published API for driving Aide from your stack: custom back-office systems connect via API or MCP, and no developer documentation or endpoint reference is published on the site.](https://aide.app/integrations)

[View Aide](https://theagentsindex.com/aide)

### 6. Sierra

Enterprise platform for customer-service AI agents across voice, chat, email and messaging, priced by outcome.

**Research coverage:** 32/35 criteria

**Where it improves on Maven AGI:**
- [Writes code: partial — Ghostwriter turns a prompt, an SOP or a transcript into a production agent journey with workflows and guardrails; what it authors is agent configuration, not application source code.](https://sierra.ai/product/ghostwriter)
- [Open models: partial — Sierra states it blends open-weight models into its constellation, but the buyer neither picks nor supplies them and no model names are published.](https://sierra.ai/product/trust-and-reliability)
- [In your editor: partial — Agent SDK journeys are written in your own editor and software lifecycle, but Sierra ships no editor extension and the agent itself runs in customer channels.](https://sierra.ai/product/agent-sdk)

**Trade-offs against Maven AGI:**
- [Claude: partial — Anthropic is a named AI-services subprocessor, so Claude is in the mix, but Sierra routes models itself and never exposes a Claude selector.](https://trust.sierra.ai/subprocessors)
- [GPT: partial — OpenAI is listed as an AI-services subprocessor, so GPT models are used under the hood, chosen by Sierra's router rather than by the buyer.](https://trust.sierra.ai/subprocessors)
- [Model choice: no — Model selection belongs to Sierra: it routes each turn to what it judges optimal and swaps providers on outages, with no published customer model choice.](https://sierra.ai/product/trust-and-reliability)

[View Sierra](https://theagentsindex.com/sierra)

## Method

Unknown data is never treated as a benefit or a trade-off. Featured placement is labelled but cannot alter recommendation order.