Maven AGI pricing

About

Maven AGI is an enterprise AI agent platform for customer support, founded by former HubSpot executive Jonathan Corbin and headquartered at 399 Boylston St, Boston. It markets what it calls “Business AGI” — autonomous AI agents that resolve customer queries across chat and voice, taking real actions such as refunds, account updates, and verification rather than just answering FAQs.

The company has raised 78M in total funding, anchored by a 50M Series B announced June 18, 2025 and led by Dell Technologies Capital, with participation from Cisco Investments, SE Ventures, Lux Capital, M13, and E14 Fund. Its pitch leans heavily on outcome metrics: Maven advertises up to 93% of customer queries answered autonomously and resolution roughly 10x faster than traditional methods.

For the most current information, visit Maven AGI.

Pricing summary : How Maven AGI’s pricing model works

Maven AGI is sales-led with no public list price. There is no self-serve signup, no free tier, and no published per-seat or per-month rate — the only call to action on the site is “Book a demo.” Pricing is quoted per customer through sales.

While Maven does not disclose exact figures, the commercial model is consumption- and outcome-oriented rather than seat-based. Maven’s entire marketing narrative is built on autonomous resolution — the share of queries its agents close without a human — which is the value metric enterprise AI-support vendors increasingly anchor pricing to. That puts Maven in the same outcome/usage camp as peers like Sierra, Decagon, and Intercom Fin, where the buyer pays for resolved conversations and volume across channels rather than for licensed agent seats.

What makes this different: Maven sells “Business AGI” as an autonomous actor (refunds, updates, verification), so the price story is framed around work the AI completes end-to-end, not assistance to human agents. The model is delivered as an annual enterprise platform commitment, scoped to conversation/resolution volume and the channels (chat, voice) you turn on.

Pricing by product

Maven AGI sells a single platform — the AI Agent Platform (AI Agents, AI Agent Designer, AI Voice Agent) — under a custom enterprise contract. There are no published tiers.

Sales motions across products: 100% sales-led. The site exposes only a “Book a demo” path; there is no self-serve purchase or trial. See choosing the right usage metric and usage-based pricing strategy for relevant frameworks.

Hidden costs : What Maven AGI users actually pay

Because Maven does not publish rates, the real cost depends on what you negotiate. The variables that move an outcome/usage-scoped support contract are conversation volume, the channels enabled (voice typically carries higher unit cost than chat), and integration/onboarding scope.

Want to estimate your own Maven AGI bill? Use the Maven AGI pricing calculator to model your costs based on usage patterns.

Pricing evolution : Maven AGI pricing history and changes

Cadence

Tracked range: 2024–present. Maven has never published list pricing, so there is no rate history to track via Wayback.

Notable changes

• 2024 H2 — Maven AGI brings its autonomous customer-support agent platform to market; pricing sales-led.
• 2025-06-18 — 50M Series B led by Dell Technologies Capital (78M total raised); commercial model stays outcome/usage-oriented and sales-led.

What’s unique : Maven AGI’s distinctive pricing mechanics

1. Priced around autonomous resolution, not seats. Maven leads with “up to 93% of queries answered autonomously” — the value metric its enterprise contracts are scoped against, putting it firmly in the outcome/usage camp rather than per-seat SaaS.

2. Action-taking agents change the value story. Because Maven’s agents execute refunds, updates, and verification end-to-end, the buyer is paying for completed work, which supports a usage/outcome model over assistance-style seat licensing.

3. Full opacity by design. No tiers, no list price, no trial — a pure “book a demo” motion that keeps pricing negotiable and tied to each enterprise’s volume and channel mix.

Strengths & weaknesses

Billing UX : Maven AGI billing controls and transparency

• Billing controls — Enterprise contract terms negotiated through sales; no self-serve billing portal is exposed publicly.
• Usage visibility — Maven surfaces Data & Insights/analytics in-product to track resolution and deflection performance, which doubles as the usage signal behind consumption-based billing.
• Payment options — Invoiced enterprise billing; no public self-serve card checkout.

Strategic wins : Why Maven AGI’s pricing decisions worked

1. Anchoring to autonomous resolution

By making “93% autonomous” the headline, Maven sells the outcome buyers actually want — deflected tickets — and lets price follow value rather than headcount. See outcome-based pricing trends.

2. Selling work, not software

Action-taking agents reframe the purchase from “a tool my agents use” to “work the AI completes,” which supports premium usage/outcome economics. Related: how AI companies structure pricing.

3. Sales-led control in a fast-moving category

Keeping pricing private lets Maven tailor each deal to volume and channels in a category where unit economics are still being discovered. See choosing the right usage metric.

Areas to improve : Gaps in Maven AGI’s pricing approach

1. No anchor for self-serve buyers

The complete absence of any published rate or trial raises the evaluation bar versus peers that publish a per-resolution figure. See bill shock and cost unpredictability.

2. Forecasting risk

Usage/outcome contracts without published unit rates make it hard for finance teams to model spend before signing.

3. Transparency vs. competitors

As peers like Intercom Fin publish a clear per-resolution price, Maven’s opacity may become a competitive liability for mid-market buyers comparing options.

Key takeaways

1. Sales-only. Maven AGI publishes no list price; every deal is quoted through a demo.
2. Outcome-oriented. The model is scoped to autonomous resolutions and conversation volume, not seats.
3. Action agents justify usage pricing. Agents that complete refunds/updates support paying for work done.
4. Voice + chat. Channel mix is a real cost lever in any quote.
5. Category signal. Maven reinforces the support-AI shift from per-seat to per-resolution/outcome economics.

UBP implications

1. Outcome metrics sell. Leading with autonomous-resolution percentage shows how to anchor UBP to a value the buyer already tracks.
2. Opacity is a tradeoff. Sales-only pricing preserves flexibility but cedes the transparency advantage to competitors that publish a unit rate.
3. Channel-aware metering. Pricing voice and chat differently is a useful pattern for multi-channel usage-based models.

Sources

• Maven AGI official website (accessed 2026-06-11)
• Maven AGI pricing/demo page (accessed 2026-06-11)
• Series B funding coverage — 50M led by Dell Technologies Capital, June 18 2025 (accessed 2026-06-11)

Bottom line

Maven AGI is a well-funded enterprise customer-support AI agent platform with a 100% sales-led, outcome/usage-oriented commercial model. It publishes no list price; cost is quoted against autonomous-resolution and conversation volume across chat and voice. Browse the pricing blueprint for more fully-researched company profiles.

Want to compare Maven AGI against other customer-service AI companies? Browse the pricing blueprint.