Waniwani
Also known as: WaniWani
Distribution and compliance infrastructure for selling financial services through AI, with a free open source SDK to build agents that quote inside ChatGPT, Claude, and WhatsApp, plus paid compliance and analytics modules.
Waniwani is building distribution and compliance infrastructure for selling financial services through AI, so that insurers, lenders, and other quote based vendors can be discovered and can quote directly inside AI assistants rather than through traditional brokers. Founded in early 2026 in San Francisco, with offices in New York and Paris, by Robin Diligent, Maxime Antoine, Luiza Gusmao, and Raphael Vullierme, who previously spent nearly a decade running an insurer, it raised eight million dollars in seed funding in June 2026 led by Seedcamp, bringing total funding to about eight point seven million dollars. The company drew attention when its technology powered the first insurance quoting app inside ChatGPT, an event widely linked to a sharp one day drop in insurance broker stocks in February 2026.
The model is deliberately reminiscent of Stripe and Twilio: Waniwani offers a free open source SDK that lets a quote based vendor build its own sales agent and surface products inside AI platforms like ChatGPT, Claude, and Copilot as well as channels like WhatsApp, then charges for a paid infrastructure layer on top. Those paid modules handle the harder parts of selling regulated products through AI, keeping quotes and messaging within regulatory and brand compliance, simulating a vendor's market and measuring commercial performance across the full funnel, and optimizing revenue, pricing, and messaging, along with trust, security, and anti scraping protection. Its agents understand a buyer's intent through natural conversation and return accurate, personalized quotes from authorized carriers in real time.
Traction has been unusually fast for a company less than a year old, with clients across Europe, Latin America, the Middle East, Korea, and Australia, a Deloitte partnership, and apps built on it by Aviva and the parent of MoneySuperMarket. As a seed stage company its deeper agent tooling, memory, and formal security posture are still early, and there is real platform risk if the large AI providers build native monetization for financial services themselves. For an insurer or lender that wants to control how its products get quoted and sold as buyers move to AI assistants, Waniwani is a well positioned early bet; a vendor outside regulated, quote based services will find it narrowly aimed.
Vendor details
Canonical URL
https://www.waniwani.ai
Category
Agent infrastructure
Subcategory
AI distribution infrastructure for financial services
Funding status
Independent, headquartered in San Francisco with offices in New York and Paris, founded in early 2026 by Robin Diligent, Maxime Antoine, Luiza Gusmao, and Raphael Vullierme, and incubated by venture studio Hexa. Raised eight million dollars in seed funding in June 2026 led by Seedcamp, with Redstone, Plug and Play, Zone II Ventures, and Kima Ventures participating, bringing total funding to about eight point seven million dollars. Gained early prominence powering the first insurance quoting app inside ChatGPT, has partnered with Deloitte, and reports clients across Europe, Latin America, the Middle East, Korea, and Australia, on track for several million dollars of revenue in its first year.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Provides a free open source SDK that lets quote based vendors build sales agents and surface products inside AI platforms such as ChatGPT, Claude, and Copilot, plus channels like WhatsApp, returning real time quotes from authorized carriers. A paid infrastructure layer adds compliance monitoring, funnel and market simulation, performance analytics, revenue optimization, and trust, security, and anti scraping protection.
In practice
Your customers are asking ChatGPT and Claude for insurance and mortgage quotes, and you have no way to show up there. Waniwani lets you build a sales agent that surfaces your products and quotes directly inside those AI assistants.
Selling a regulated product through AI risks off script or non compliant answers. Waniwani's paid modules keep quotes and messaging within regulatory and brand compliance while you distribute through AI.
You can deploy an AI sales agent, but then need to drive traffic, optimize the funnel, and measure revenue. Waniwani provides funnel simulation, performance analytics, and revenue optimization on top of the agent.
Sources & related URLs
Research sources
Research notes
Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Seed June 2026; confidence medium given early stage. Sometimes styled WaniWani.
Capability coverage
9.5 / 14 capabilities · 68%
| Integrations & Tool CallingSurfaces products and returns quotes across AI platforms such as ChatGPT, Claude, and Copilot and channels like WhatsApp, connecting to authorized carriers for real time quoting, Waniwani docs 2026-07-07 | Full |
|---|---|
| Workflow OrchestrationOrchestrates the full distribution funnel from building and deploying an agent to driving traffic, converting, and optimizing across the funnel while staying compliant, Waniwani docs 2026-07-07 | Full |
| Knowledge Grounding & RAGAgents understand buyer intent through natural conversation and return accurate, personalized quotes grounded in real offers from authorized carriers, Waniwani docs 2026-07-07 | Full |
| Human Oversight & GuardrailsProvides regulatory and brand compliance monitoring as a guardrail on agent output, but an explicit human approval or oversight workflow is not the documented focus, Waniwani docs 2026-07-07 | Partial |
| Security, Identity & GovernanceOffers trust, security, and anti scraping protection plus regulatory compliance modules for regulated products, but formal security certifications are not documented at this early stage, Waniwani docs 2026-07-07 | Partial |
| Observability & AuditabilityPaid modules measure commercial performance from top to bottom of the funnel and provide performance analytics across the distribution channel, Waniwani docs 2026-07-07 | Full |
| Memory & State PersistencePersists vendor configuration and funnel state, but a distinct agent memory that learns per user over time is not documented, Waniwani docs 2026-07-07 | Partial |
| Deployment & Data ResidencyA free open source SDK gives vendors deployment control over their agent, while the paid infrastructure is cloud based, but explicit residency options are not documented, Waniwani docs 2026-07-07 | Partial |
| Prebuilt Agents, Templates & PacksThe open source SDK provides tooling and patterns to build sales agents for quote based verticals like insurance and mortgages, but a broad prebuilt agent library is not documented, Waniwani docs 2026-07-07 | Partial |
| Triggers & Channel CoverageMeets buyers across multiple AI assistants and conversational channels in real time, quoting on demand as users ask, rather than through a single channel, Waniwani docs 2026-07-07 | Full |
| Model Flexibility & RoutingDistributes across multiple AI platforms including ChatGPT, Claude, and Copilot, which are model agnostic in effect, but customer controlled model choice or routing is not the documented mechanism, Waniwani docs 2026-07-07 | Partial |
| APIs, SDKs & MCP ExtensibilityIts core offering is a free open source SDK for developers to build and deploy their own sales agents, a developer first, highly extensible model, Waniwani docs 2026-07-07 | Full |
| Testing, Debugging & OptimizationOffers market and funnel simulation and revenue optimization, a form of scenario testing, but a dedicated agent testing, evaluation, or debugging surface is not documented, Waniwani docs 2026-07-07 | Partial |
| Browser & Computer UseDistributes and quotes through AI platform integrations rather than driving a browser or operating a computer interface, Waniwani docs 2026-07-07 | Unable to verify |
Pricing
Free open source SDK to build and deploy agents; paid infrastructure modules priced separately and not publicly listed
free open source SDK plus paid infrastructure modules, likely usage or funnel based
What is public
The open source SDK is free and public, but pricing for the paid infrastructure modules is not disclosed.
Billing mechanics
Free open source SDK for building and deploying agents, plus paid infrastructure modules for compliance, analytics, and optimization, presumably usage or funnel based.
Cost watchouts
The free SDK is only the entry point; the compliance, analytics, and optimization modules that make regulated selling viable are the paid layer and can scale with volume.
Variable cost rationale
The open source SDK is free, but the paid infrastructure that runs regulated, high volume operations would likely price on usage or funnel volume, so cost tends to grow with distribution scale and traffic.
Additional watchouts
As an early company, confirm which paid modules you need, how they are priced, and how compliance coverage maps to your regulators before relying on it for regulated selling.
Sales call required
Mixed (some tiers require a call)
Free / trial
Free open source SDK; paid modules quoted separately
Key ambiguities
Paid module pricing and the exact metering basis are not published at this early stage.
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