How much does Mastery AI cost?

No public pricing. Enterprise insurance sales with on premises, private cloud, hybrid, or air gapped deployment. The company launched in 2026.

Can Mastery AI be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Mastery AI publishes public evidence of self hosted or private VPC deployment, along with data residency options for controlling where agent data is processed and stored. Evidence basis: Deployment can be on premises, in a private cloud on AWS, Azure or GCP, hybrid, or air gapped. Policyholder and broker data never leaves the customer's environment. Mastery AI, masteryai.io, 2026-09-06. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Mastery AI require human approval before an agent acts?

Full under the Agentic Index verification standard. Mastery AI publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: The prebuilt workflows have manual stop gates at negotiation, peer review, renewal and feedback. At each of those stages a person approves before the agents proceed. The gates are built into the platform itself. Mastery AI, masteryai.io, 20. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can you bring your own model or route between providers with Mastery AI?

Full under the Agentic Index verification standard. Mastery AI publishes public evidence of bring your own model and bring your own key (BYOK), and of routing tasks between models or providers rather than being locked to one. Evidence basis: A multi model orchestrator supports bring your own model (BYOM). The named default core is Llama 4 Maverick 17B, which deploys in the customer's own environment. No per request model selector is named. Mastery AI, masteryai.io, 2026-09-06. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

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Mastery AI

Q: Who is Mastery AI for?

Insurance carriers, MGAs and reinsurers, Insurance brokers, Regulated financial services and healthcare

Q: What are the best alternatives to Mastery AI?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Mastery AI among enterprise operations agents are Sindri, Hebbia, Porters, Eudia. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Mastery AI LTD, MasteryAI

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Enterprise operations agentindependentVerified 2026-09-06

Entry priceContact for pricingFull pricing detail

Agentic AI platform for insurance carriers, MGAs, and brokers that runs autonomous agents across submission intake, underwriting, peer review, renewal, and claims, with regulated first, on premises deployment.

Mastery AI is an agentic AI platform for insurance carriers, MGAs, reinsurers and brokers from Mastery AI LTD of London. It runs autonomous agents across the insurance lifecycle, from broker submission intake in Outlook with PDF and DOCX extraction, through underwriting orchestration in sequential and parallel agent stages, peer review, negotiation drafts, automated renewal and claims triage with adjuster ready summaries, and scores risk exposure to perils such as wildfire and flood by zip code. Manual stop gates at negotiation, peer review, renewal and feedback keep a person in control at each of those points, and workflows run with audit trails.

The platform pairs secure data connectors with retrieval and fine tuning over the customer's own data, a multi model orchestrator with bring your own model and a Llama based default, and prompt injection defense, data loss prevention and model isolation. It is deployable on premises, in a private cloud on AWS, Azure or GCP, hybrid or air gapped, so policyholder and broker data never leaves the customer's environment, and the same architecture is offered to financial services, healthcare and government. The company describes itself as SOC 2 aligned, HIPAA ready and EU AI Act ready. Pricing is by contact.

Vendor details

Canonical URL

https://www.masteryai.io

Funding status

Seed

Company status

independent

Use cases & customers

Primary use cases

Broker submission intake and underwriting orchestrationPeer review and negotiationRenewal automationClaims triage

Target customers

Insurance carriersMGAs and reinsurersInsurance brokersRegulated financial services and healthcare

Deployment options

On premisesPrivate cloud (AWS, Azure, GCP)HybridAir-gapped

Integrations

Outlook native broker submission intake with PDF and DOCX extraction, secure data connectors, and deployment across private cloud providers (AWS, Azure, GCP). A multi model orchestrator supports bring your own model.

In practice

Your underwriters spend hours pulling broker submissions out of email. Mastery AI takes each submission as it arrives in Outlook, extracts the PDF and DOCX files and starts underwriting in sequential and parallel agent stages.

Your carrier wants agents on negotiations and renewals but needs a person to sign off. Mastery AI drafts broker negotiations and automated renewals and stops at manual gates at negotiation, peer review and renewal until a person approves.

Your policyholder and broker data cannot leave your environment. Mastery AI deploys on premises, in a private cloud on AWS, Azure or GCP, hybrid or air gapped, and runs its Llama 4 Maverick 17B default or a model you bring.

Sources & related URLs

Research sources

https://www.masteryai.io/ https://www.masteryai.io/solutions/agentic-ai https://www.masteryai.io/compliance

Agentic Index coverage score

7.0 / 14 capabilities · 50%

Integrations & Tool Calling	Partial
Broker submissions arrive through a native Outlook intake that extracts PDF and DOCX files. Outlook is the one integration Mastery AI names. The platform also has secure data connectors, but they are not named. Mastery AI publishes no connector catalog and names no action into outside systems and no custom tool framework. SourceMastery AI, masteryai.ioread 2026-09-06
Workflow Orchestration	Full
Underwriting orchestration runs agents in sequential and parallel stages across the insurance lifecycle, from submission intake through peer review, negotiation, renewal and claims triage. The agents carry multi step work from one stage to the next. Mastery AI names no builder that customers use to design their own workflows. SourceMastery AI, masteryai.ioread 2026-09-06
Knowledge Grounding & RAG	Partial
Secure data connectors with RAG and fine tuning over the customer's data ground the agents in retrieval. Mastery AI does not say whether a maintained index or knowledge base sits behind them, or how long its contents persist. SourceMastery AI, masteryai.ioread 2026-09-06
Human Oversight & Guardrails	Full
The prebuilt workflows have manual stop gates at negotiation, peer review, renewal and feedback. At each of those stages a person approves before the agents proceed. The gates are built into the platform itself. SourceMastery AI, masteryai.ioread 2026-09-06
Security, Identity & Governance	Not documented
The company calls itself SOC 2 aligned and HIPAA ready and claims no SOC 2 report or other attestation. Its named defenses, prompt injection defense, DLP and model isolation, protect the platform itself. No access controls for the customer's users are named. Sourcemasteryai.ioread 2026-09-06
Observability & Auditability	Partial
Every workflow runs with full audit trails, Mastery AI says, and the claims workflow produces adjuster ready summaries. Mastery AI names no audit log view, run trace or per step provenance. SourceMastery AI, masteryai.ioread 2026-09-06
Memory & State Persistence	Not documented
Mastery AI describes no memory for its agents and no session state. SourceMastery AI, masteryai.ioread 2026-09-06
Deployment & Data Residency	Full
Deployment can be on premises, in a private cloud on AWS, Azure or GCP, hybrid, or air gapped. Policyholder and broker data never leaves the customer's environment. SourceMastery AI, masteryai.ioread 2026-09-06
Prebuilt Agents / Templates / Packs	Full
Carriers can adopt prebuilt insurance workflows as they are. These cover Outlook submission intake with extraction, underwriting orchestration, broker negotiation drafts with automated renewal, risk exposure scoring by zip code, and claims triage with adjuster ready summaries. Prebuilt agents for regulated industries come with them. There is no published catalog page. SourceMastery AI, masteryai.ioread 2026-09-06
Triggers & Channel Coverage	Partial
Work starts when a broker submission arrives in Outlook, and renewals run automatically. Mastery AI names no trigger configuration, webhook or schedule settings. SourceMastery AI, masteryai.ioread 2026-09-06
Model Flexibility & Routing	Full
A multi model orchestrator supports bring your own model (BYOM). The named default core is Llama 4 Maverick 17B, which deploys in the customer's own environment. No per request model selector is named. SourceMastery AI, masteryai.ioread 2026-09-06
APIs / SDKs / MCP Extensibility	Not documented
No API, SDK or MCP server is named, and no developer subdomain is published. Sourcemasteryai.ioread 2026-09-06
Testing, Debugging & Optimization	Not documented
In the peer review stage, a person checks each output before the work moves on. Mastery AI names no test harness, test cases, evaluation dashboard or release gate for the workflows. SourceMastery AI, masteryai.ioread 2026-09-06
Browser / Computer-use	Not documented
Agents take work from Outlook submissions and document extraction and return drafts, scores and summaries inside the platform. Mastery AI names no browser, desktop or computer control. SourceMastery AI, masteryai.ioread 2026-09-06

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

Contact for pricing

Cost watchouts

Implementation, connector configuration, and on premises or air gapped deployment drive total cost; compliance posture is stated as aligned or ready, not certified.

Variable cost rationale

Pricing is undisclosed; cost likely scales with lines of business, submission and claim volume, and deployment mode, though bring your own model and local execution can offset inference cost. No public metering detail exists.

Sales call required

Yes, required for paid access

Free / trial

No public free tier or self serve trial.

Lowest paid plan

None public.

Key ambiguities

No public pricing; the company is very new (2026) with a single page marketing site. Compliance is stated as aligned or ready rather than certified.

Agentic Index verified 2026-09-06

Official pricing page

Related vendors

Alternatives to Mastery AI

The closest documented capability profiles to Mastery AI among enterprise operations agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.

Sindri7.5 / 14Adds documented Security, Identity & Governance
Hebbia5.5 / 14Adds documented Security, Identity & Governance
Porters5.5 / 14Adds documented Security, Identity & Governance
Eudia7.0 / 14Adds documented Security, Identity & Governance and Memory & State Persistence
FurtherAI8.0 / 14Adds documented Security, Identity & GovernanceMastery AI vs FurtherAI →
Kenmei7.0 / 14Adds documented Security, Identity & Governance

Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded

Compare Mastery AI with other vendors →Compare all enterprise operations agents →See where Mastery AI ranks →

Data confidence: low

Head to head

Mastery AI vs FurtherAI