How much does Weav.ai cost?

The enterprise decisioning platform is sold through sales with no public rate card. The standalone Agentic Productivity Tools are consumption priced in tokens (one token per unit of work, sold in blocks of 25 or 50) with free starter credits, and token dollar prices are not published. Private cloud and on-premises deployment imply enterprise contracts for the platform.

Does Weav.ai have SOC 2, SSO and role based access control?

Full under the Agentic Index verification standard. Weav.ai publishes public evidence of enterprise security and identity controls, covering a compliance posture such as SOC 2 or ISO 27001, single sign on (SSO or SAML), and role based access control (RBAC). Evidence basis: Single sign on works with Okta, Azure AD, Auth0 and other SAML compliant authentication systems, so identity runs through the customer's own provider, and Weav.ai is SOC 2 Type 2 compliant. There is no trust center, no named RBAC or audit l. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Can Weav.ai be self hosted or run in a private VPC?

Full under the Agentic Index verification standard. Weav.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: The platform deploys in the customer's private cloud with full control over security, data, monitoring and logging, and supports all private cloud deployments including on-premises. It runs on Google Cloud, Azure, AWS, on-prem and SaaS. Dep. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Does Weav.ai require human approval before an agent acts?

Full under the Agentic Index verification standard. Weav.ai publishes public evidence of human approval steps and guardrails, so an agent action can be held for review before it executes. Evidence basis: Humans in the loop have full control to review and approve critical decisions. Ingestion evaluation AI agents evaluate the extraction and send conflicts and low confidence data to human review, and audit mechanisms and human in the loop che. Graded from public evidence only against the Agentic Index 14 point capability taxonomy. No vendor pays for placement.

Back to vendors

Weav.ai

Q: Who is Weav.ai for?

Commercial and specialty P&C carriers, MGAs and MGUs, Program administrators, Reinsurers

Q: What are the best alternatives to Weav.ai?

Based on documented capability coverage across the Agentic Index 14 point taxonomy, the closest alternatives to Weav.ai among enterprise operations agents are Auditoria, Ema, FurtherAI, Leah AI. Each is graded on the same public evidence, and no vendor pays for placement.

Also known as: Weav.AI, Weav.ai, Inc.

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Enterprise operations agentindependentVerified 2026-09-07

Entry priceAgentic Productivity Tools at $1 per token, in packs of 25 ($25) or 50 ($50), with 100 free tokens at signup. The platform is contact sales.Full pricing detail

AI native agentic decisioning platform for P&C insurance that unifies knowledge, decisions, and actions across underwriting, premium audit, and claims with human oversight.

Weav.ai is an AI native agentic decisioning platform purpose built for property and casualty insurance, serving insurers, MGAs, MGUs, program administrators and reinsurers across underwriting, premium audit and claims. The platform unifies a carrier's data, guidelines and best practices into pre configured, line of business specific knowledge graphs and AI scorecards, then runs an Agentic Decision Engine across ingestion, clearance, triage, risk, exposure and loss history analysis to produce next best action recommendations, with humans in the loop holding full control to review and approve critical decisions and low confidence extractions routed to review by dedicated ingestion evaluation agents.

It is API first, embedding recommendations inside existing systems or its own workbenches, ships pre built integrations with Guidewire, Verisk, Nearmap, OSHA, HPD, Google and Nexus, lets customer IT teams build new connectors within a day through its Rapid Insurance Connector framework, and runs MCP clients into systems like Salesforce and ServiceNow alongside an MCP server other agentic systems can call.

It is model agnostic, routing across OpenAI, Anthropic, Meta, Deepseek and Mistral models to balance quality, responsiveness and cost, deploys in the customer's private cloud or fully on premises as well as SaaS, is SOC 2 Type 2 compliant with SAML single sign on through Okta, Azure AD and Auth0, and is a Guidewire Insurtech Vanguards member.

In August 2026 it launched Agentic Productivity Tools, eleven standalone consumption priced agents for tasks like SOV analysis, loss run analysis, business classification research, payroll analysis, document summarization and generation, vehicle schedules, employee census, first notice of loss and insured document portals, each usable on its own and each an entry point into the platform.

Vendor details

Canonical URL

https://weav.ai

Funding status

Seed

Company status

independent

Use cases & customers

Primary use cases

Underwriting risk assessment and triagePremium audit classification and exposureClaims intelligence and fraud detectionSubmission ingestion and data augmentation

Target customers

Commercial and specialty P&C carriersMGAs and MGUsProgram administratorsReinsurers

Deployment options

Private cloudOn premises

Integrations

Pre-built connectors to Guidewire InsuranceSuite, data sources Verisk, Nearmap, OSHA, HPD, and Google, and audit system Nexus; a Rapid Insurance Connector framework builds new connectors within a day; AI agents use MCP clients to reach Salesforce and ServiceNow and expose an MCP server for other agentic systems.

In practice

An underwriter receives a commercial submission with a long schedule of values and years of loss runs. SoV Analysis and Loss-run Analysis read them, and the Agentic Decision Engine scores the risk against the carrier's own guidelines and recommends the next best action for the underwriter to approve.

A claims team gets first notice of loss by email, portal and phone. The FNOL Processor takes each report, creates the claim in the claims administration system and keeps it updated as new information arrives.

A carrier cannot send policyholder data to a public cloud. It runs Weav.ai in its own private cloud, with single sign on through Okta or Azure AD, while Weav.ai routes the work across commercial and open source models.

Sources & related URLs

Research sources

https://weav.ai/ https://weav.ai/platform https://weav.ai/about-us https://www.crunchbase.com/organization/weav-ai

Agentic Index coverage score

10.0 / 14 capabilities · 71%

Integrations & Tool Calling	Full
Data moves both ways between Weav.ai and external and internal systems, through agentic methods or traditional APIs. A named pre-built catalog covers Guidewire core systems, Verisk, Nearmap, OSHA, HPD and Google data sources, and Nexus audit systems. With the Rapid Insurance Connector framework, Weav.ai or the customer's own IT team can build a new connector within a day. The FNOL Processor writes outbound with authentication, creating the claim directly in the customer's claims administration system. Reach spans core admin, data providers, audit, CRM and ITSM through MCP clients. SourceWeav.ai, weav.ai/platform and /agentic-toolsread 2026-09-07
Workflow Orchestration	Full
The Agentic Decision Engine coordinates ingestion, clearance, triage, risk, exposure and loss history analysis through to underwriting and premium audit recommendations. Ingestion evaluation agents run alongside extraction agents, and the MCP layer orchestrates agentic workflows across multiple models. So an insurance case runs end to end as multi-step, multi-agent execution on Weav.ai's own platform. SourceWeav.ai, weav.ai/platformread 2026-09-07
Knowledge Grounding & RAG	Full
The platform ships a pre-configured library of knowledge graphs representing business entities, their relationships and hierarchy by industry and line of business, configurable by business users, grounding the score cards and next best action recommendations. The graph persists, is maintained as a library and can be queried across cases, so it is a maintained retrieval structure, not context assembled per run. SourceWeav.ai, weav.ai/platformread 2026-09-07
Human Oversight & Guardrails	Full
Humans in the loop have full control to review and approve critical decisions. Ingestion evaluation AI agents evaluate the extraction and send conflicts and low confidence data to human review, and audit mechanisms and human in the loop checkpoints are among the stated business benefits. So Weav.ai ships its own review and approve surface, with a set rule for what reaches it. SourceWeav.ai, weav.ai homepage and /platformread 2026-09-07
Security, Identity & Governance	Full
Single sign on works with Okta, Azure AD, Auth0 and other SAML compliant authentication systems, so identity runs through the customer's own provider, and Weav.ai is SOC 2 Type 2 compliant. There is no trust center, no named RBAC or audit log, no detail on the attestation beyond one sentence, and no compliance page a customer can read without a call. SourceWeav.ai, weav.ai/platformread 2026-09-07
Observability & Auditability	Partial
Built-in audit mechanisms keep a clear trail of underwriting decisions with guideline adherence, the premium audit solution tracks adherence to state regulations, and the document generation tool keeps every generated document for regulatory review. The Business Research Agent shows the supporting evidence behind every recommendation, and the Guideline-to-Scorecard agent traces every line back to its source sentence, which is decision rationale, not just reporting. There is no runtime observability for agents and no trace, replay or per-action log, and in the private cloud deployment monitoring and logging are under the customer's own control. Decision documentation is deep, but there is no runtime audit of what an agent did. SourceWeav.ai, weav.ai homepage, /platform and /agentic-toolsread 2026-09-07
Memory & State Persistence	Not documented
Beyond the knowledge graphs and scorecards, which are the application's decisioning assets and not memory, there is no memory layer with a set scope and lifetime. Deleting those assets deletes the product configuration, not a remembered state, and there is no per-user, per-team or per-workflow memory with a lifetime. There is no chat session state either. SourceWeav.ai, weav.ai/platform and /agentic-toolsread 2026-09-07
Deployment & Data Residency	Full
The platform deploys in the customer's private cloud with full control over security, data, monitoring and logging, and supports all private cloud deployments including on-premises. It runs on Google Cloud, Azure, AWS, on-prem and SaaS. Deployment into the customer's own environment is the lead offer. There is no list of named regions, so the choice is an environment, not a region. SourceWeav.ai, weav.ai/platformread 2026-09-07
Prebuilt Agents / Templates / Packs	Full
A browsable catalog holds eleven named standalone agents. They are SoV Analysis, Loss-run Analysis, Business Research Agent, Payroll Agent, Contextual Document Summarization, Agentic Document Generation, Vehicle Schedule Analysis, Employee Census Agent, FNOL Processor, Insured Portal Builder and Guideline-to-Scorecard Agent, each signed up for individually, each doing its own whole job and priced per unit in shared tokens. Beneath them the platform ships pre-configured libraries of knowledge graphs and scorecards by industry and line of business. The suite opens through a sign up form that grants 100 free tokens, and the FNOL Processor and Insured Portal Builder require a consultation first. SourceWeav.ai, weav.ai/agentic-tools and /platformread 2026-09-07
Triggers & Channel Coverage	Partial
The FNOL Processor takes first notice of loss from wherever it arrives, a submission inbox, portal or phone, creates the claim and keeps updating it as new information comes in. The Insured Portal Builder sends document requests and reminds on outstanding items on a schedule. Email is among the connected surfaces. Both tools that carry this intake from several channels need a consultation at launch, and the core platform starts ingestion inside existing systems with no trigger surface for the customer, no webhook, schedule or queue the customer configures. SourceWeav.ai, weav.ai/agentic-tools and /platformread 2026-09-07
Model Flexibility & Routing	Partial
The platform is model-agnostic and orchestrates agentic workflows across multiple models, balancing quality, responsiveness and costs. It supports commercial models from OpenAI (GPT family) and Anthropic (Claude family) and open source models from Meta (Llama family), Deepseek and Mistral, with Gemini also listed and vendor-assisted fine-tuning for specialty lines. Weav.ai does the routing across these named providers. There is no customer or admin selection surface, and private cloud deployment makes customer choice plausible, but Weav.ai does not describe one. SourceWeav.ai, weav.ai/platformread 2026-09-07
APIs / SDKs / MCP Extensibility	Partial
Outside systems can call in, but the details are not published. The Weav.ai MCP server lets other agentic systems communicate with Weav.ai agents to orchestrate agentic workflows, but no endpoint, auth scheme or reference documentation is published. Every page calls the architecture API-first, yet there is no developer portal, API reference or docs subdomain. The MCP clients to Salesforce and ServiceNow and the Rapid Insurance Connector framework reach out to other systems and are not a way in. SourceWeav.ai, weav.ai/platformread 2026-09-07
Testing, Debugging & Optimization	Partial
Ingestion evaluation AI agents evaluate the extraction and surface conflicts and low confidence data on every case in production, so quality is measured live and always on. Nothing puts a change under test. There is no evaluation harness, scored test cases, release gate or controlled experiment after deployment. The scorecards evaluate the insurance risk, the customer's artifact, not the agent, so they are the product and not an evaluation tool. SourceWeav.ai, weav.ai/platformread 2026-09-07
Browser / Computer-use	Partial
The Business Research Agent researches the business across public web sources at case time, builds a profile of its actual operations and recommends classification codes, with supporting evidence behind every recommendation. That is fetching web sources at run time as part of the work, by an unstated mechanism, and it feeds the live classification decision, not the knowledge graph library. There is no hosted or local browser, desktop session or computer control, and the tool opens through the suite's public sign up form. SourceWeav.ai, weav.ai/agentic-toolsread 2026-09-07

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

2026-08-11·Agent capabilityVerified

Weav.ai launched a new suite of agentic productivity tools designed specifically for property and casualty insurance. The suite introduces specialized AI agents tailored for underwriting, claims processing, portfolio management, and premium audit workflows.

Bears on: Agent capability

View source

View all 1 change for Weav.ai →Tracked since Aug 2026 · Verified from public vendor sources

Pricing

Agentic Productivity Tools at $1 per token, in packs of 25 ($25) or 50 ($50), with 100 free tokens at signup. The platform is contact sales.

The enterprise platform is licensed to insurers, MGAs and administrators on terms that are not published. The standalone tools bill per unit of work in tokens, at $1 per token.

Trial available

What is public

The token unit per tool, the pack sizes and prices (25 tokens for $25 or 50 for $50), the pooling rule across tools and the 100 free starter tokens are published. The platform's pricing and contract terms are not.

Billing mechanics

Tools are priced per unit of work in tokens, one token per SoV analyzed, loss run, business researched, payroll report, summary, document generated, vehicle schedule or census. Tokens cost $1 each and are bought in packs of 25 or 50, pooled across every tool the customer has signed up for, with no subscription and no monthly fee. Three tools require consultation instead. Pricing is consumption based.

Cost watchouts

Platform implementation, connector configuration and on premises deployment add to total cost, and none of it is priced publicly. Three tools that need a consultation (FNOL Processor, Insured Portal Builder, Guideline-to-Scorecard) sit outside the token model.

Variable cost rationale

The tools meter units of work at one token each, so cost rises in step with the number of SoVs, loss runs, reports and documents processed, at $1 per token. Tokens are prepaid in packs of 25 or 50 and pooled across tools, with no subscription or monthly fee, so a quiet month costs nothing and spend stops when the tokens run out. Platform pricing is not published, and neither is what drives it or what limits it.

Sales call required

Yes, required for paid access

Free / trial

100 free tokens on the Agentic Productivity Tools at signup

Lowest paid plan

Token pack of 25 at $25 ($1 per token), no subscription

Key ambiguities

The tools are priced in full, at $1 per token in packs of 25 or 50. Platform pricing is entirely contact led, with no rate card.

Cancellation / refund

The tools carry no subscription and no monthly fee. Tokens are bought in packs as needed.

Agentic Index verified 2026-09-07

Official pricing page

Related vendors

Alternatives to Weav.ai

The closest documented capability profiles to Weav.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.

Auditoria10.5 / 14Fuller documented coverage on Observability & Auditability and Triggers & Channel Coverage
Ema11.0 / 14Adds documented Memory & State Persistence
FurtherAI8.0 / 14A lighter documented profile than Weav.ai
Leah AI11.0 / 14Adds documented Memory & State Persistence
Leena AI12.0 / 14Adds documented Memory & State Persistence
Serval11.0 / 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

Compare Weav.ai with other vendors →Compare all enterprise operations agents →See where Weav.ai ranks →

Data confidence: high

Head to head

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