Minoa
AI Value Engineer that turns a company's structured value framework and deal context into credible, CFO ready ROI and business cases in minutes, then tracks promised versus realized value through renewal.
Minoa is an AI Value Engineer for B2B revenue teams. It codifies how a product creates value, use cases, outcomes, metrics, and financial impact, into a structured, living value framework, then uses AI to generate credible, CFO ready business cases and ROI models in minutes rather than days. The agent pulls deal context automatically from call transcripts, CRM data, and customer evidence, recommends the right value stories from the company's own use case library, and assembles a business case anchored in defined business logic rather than unguarded model output, with guardrails set by the value engineering team.
Humans review and refine the AI's extracted assumptions, and the framework sharpens over time as institutional knowledge compounds across deals. Beyond the sale, Minoa connects product telemetry to track promised versus realized value, helping teams defend renewals and drive expansion. Revenue teams at companies including Snowflake, Vanta, Pendo, and Personio use it to standardize and scale value selling. Founded in San Francisco by Max Elster and Richard Einhorn, it is venture backed.
Vendor details
Canonical URL
https://www.minoa.io
Category
GTM / revenue agent
Funding status
Venture backed (Seed stage)
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Reads deal context from Salesforce, HubSpot, Gong, Zoom, Chorus, Fathom, Momentum, Attention, Snowflake, BigQuery, Seismic, Slack and product telemetry, plus custom sources through the Value Realization Tracker API; no write back into those systems is documented. A remote MCP server exposes Minoa's business cases and value data to outside agents.
Sources & related URLs
Related / legacy domains
Agentic Index coverage score
8.5 / 14 capabilities · 61%
| Integrations & Tool Calling | Partial |
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Minoa connects to Salesforce, HubSpot, Gong, Snowflake, BigQuery, Seismic, Slack and custom sources through the Value Realization Tracker API, and every one is described as bringing deal context, transcripts, usage and outcomes into Minoa. The agents are not documented writing to, updating or acting in an outside system. Sourceminoa.io/productread 2026-10-01 |
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| Workflow Orchestration | Full |
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Every plan includes the complete agent suite, whose actions are named one by one (research, finding relevant use cases, producing a value hypothesis, generating and editing a business case, drafting a template or executive summary), and the multi step work runs inside a framework the value team configures: approved use cases, metric ranges, guardrails and calculation methods. The agents are named by action rather than described as a documented runtime. Sourceminoa.io/pricingread 2026-10-01 |
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| Knowledge Grounding & RAG | Full |
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Outputs are grounded in a structured value framework, and the agents read call transcripts, CRM data, and customer evidence rather than producing unguarded AI output. Sourceminoa.io/productread 2026-10-01 |
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| Human Oversight & Guardrails | Partial |
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The value team constrains what the AI may assert: it sets the framework the agents work inside (approved use cases, metric ranges, benchmark defaults and guardrails), reviews and refines that framework, and reps receive business cases to use. No step where a person approves an agent action before it commits is documented; the review described is of the framework, and the cases are drafts a rep takes forward. Sourceminoa.io/productread 2026-10-01 |
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| Security, Identity & Governance | Full |
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Minoa states SOC 2 Type II alongside GDPR compliance and points to a security portal carrying live control status, so a buyer can reach the evidence rather than take an assertion. The customer-facing controls are enumerated: SAML single sign-on through Okta, Azure AD or any SAML 2.0 provider, SCIM provisioning, role-based access control, audit logs, and encryption in transit and at rest, with Okta named again on the integrations list. A separate commitment states customer data is never used to train models and never shared across customers. The material sits on the enterprise page and FAQ rather than a standalone trust page. Sourceminoa.io/enterprise security section and minoa.io FAQread 2026-09-01 |
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| Observability & Auditability | Partial |
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Provenance on the artifact, not a trace of the run. Minoa's pitch rests on defensibility, so a business case carries transparent inputs and source attribution and every number traces back to an outcome the company actually delivered, with Historic Scenarios showing value already delivered alongside value still possible. No run history, action log or account of which transcripts were read, which use cases were considered and rejected, or why a given assumption was extracted is documented; the audit logs Minoa documents are access logs, and adoption dashboards and value driver analytics describe the customer's business. Sourceminoa.io/product and minoa.io/resourcesread 2026-09-01 |
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| Memory & State Persistence | Partial |
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Accumulation across deals is stated: every case builds on the last rather than starting from scratch, and realized outcomes feed what comes next, so the agents draw on prior work across runs. No memory layer with a stated scope and lifetime is documented; what accumulates is business cases and outcome records, which are the application's own records. Sourceminoa.io/productread 2026-10-01 |
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| Deployment & Data Residency | Full |
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The customer chooses its region from a named list, EU (Frankfurt) or US (Virginia), with processing pinned to the chosen region and EU hosting offered for GDPR (minoa.io/enterprise security section). Sourceminoa.io/enterpriseread 2026-10-01 |
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| Prebuilt Agents / Templates / Packs | Partial |
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The use case library, outcome metrics and benchmark defaults are extracted from the customer's own closed deals, which the vendor contrasts with a generic template pack. These are assets the customer's data assembles rather than prebuilt packs a buyer adopts, and while the agent suite is included on every plan, no set of named agents is published. Sourceminoa.io/productread 2026-10-01 |
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| Triggers & Channel Coverage | Partial |
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Work reaches the agents chiefly because a person asks: each AI action a rep takes counts against the capacity pool, and a business case is built on request. Post sale, the realization tracker ingests outcomes and monitors KPIs against the promised value through an API or warehouse connector, which is the one route that runs without a click. No event, schedule or webhook that wakes an agent is documented. Sourceminoa.io/pricingread 2026-10-01 |
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| Model Flexibility & Routing | Not documented |
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No user facing model choice or routing is documented. Sourceminoa.io/productread 2026-10-01 |
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| APIs / SDKs / MCP Extensibility | Full |
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The vendor runs its own MCP server at mcp.minoa.io with OAuth 2.0 and PKCE, an enumerated tool list (list, get and export business cases, search value moments, pipeline analytics, call preparation) and a tool that creates the platform's core object, minoa_create_smart_business_case, presented as an interface to the product's value data layer with a published server.json manifest; Enterprise adds bring your own MCP for the customer's own agents under the user's role permissions (minoa.io/mcp and pricing). Sourceminoa.io/mcpread 2026-10-01 |
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| Testing, Debugging & Optimization | Partial |
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Minoa tracks promised versus realized outcomes and which value stories win to improve recommendations over time. No formal agent evaluation framework is documented. Sourceminoa.io/productread 2026-10-01 |
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| Browser / Computer-use | Not documented |
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No agentic browser or computer use is documented. Sourceminoa.io/productread 2026-10-01 |
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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
Pricing
Starter $9,600/yr (1 to 30 seats) · Growth $25,000/yr (10 to 50 seats) · Enterprise from $50,000/yr · flat platform fee plus an annual AI capacity pool
Flat annual platform fee by plan and seat band, plus an annual AI capacity pool sized to the team; sales led
Cost watchouts
Cost is driven by how many new AI outputs a team generates rather than by seats or business cases, so capacity consumption scales with team activity. Generating or editing a business case, producing a value hypothesis, finding use cases, running research or drafting a template each consume one unit. Reads are free, which materially changes the calculus for teams querying heavily over MCP.
Variable cost rationale
A flat annual platform fee by seat band plus a capacity pool consumed per AI action; extra capacity is billed at a flat contract rate, so cost grows with how much the team generates.
Overage / add-ons
Additional capacity at a flat rate locked through the contract term
Sales call required
Yes, required for paid access
Free / trial
No free tier or trial; talk to sales or book a demo.
Lowest paid plan
Starter at $9,600 a year for 1 to 30 seats
Key ambiguities
Included capacity units per plan and the overage rate are not published; Enterprise is quoted from $50,000 a year.
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Alternatives to Minoa
The closest documented capability profiles to Minoa among GTM and revenue agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Gainsight10.5 / 14Fuller documented coverage on Triggers & Channel Coverage
- Amplemarket10.0 / 14Fuller documented coverage on Triggers & Channel Coverage
- AutoRFP.ai11.0 / 14Adds documented Model Flexibility & Routing and Browser & Computer Use
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- Optimizely12.0 / 14Fuller documented coverage on Observability & Auditability and Triggers & Channel Coverage
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded