Pricing Details
Vendor | Description | Guidewire | Gradient AI |
|---|---|---|---|
Freemium | Offers free tiers | ||
Per License | Charges per user, org, or access point | ||
Consumption-Based | Pay per taken, API call, inference, etc. | ||
Outcome-Based | Pay only when certain results or performance goals are achieved |
Some Quick facts about each vendor
Guidewire | Gradient AI |
|---|---|
Guidewire is a leading provider of cloud-based software for property and casualty (P&C) insurers, powering core operations like policy, billing, and claims management. | Gradient AI specializes in providing advanced machine learning and generative AI solutions tailored for insurance (workers' comp, health, group benefits, and property/casualty) risk assessment and automation. |
Guidewire is actively integrating large language models (LLMs) and generative AI into its core products — enabling automation in claims triage, underwriting, fraud detection, document analysis, and developer workflows via partnerships with vendors like OpenAI and Earnix. | Gradient AI offers true consumption-based billing — organizations pay based on API calls, tokens processed, or knowledge base storage/usage. The pricing is aligned with AI/ML inference and data processing volume, not number of users. |
All AI and LLM-powered features are bundled within enterprise (org-level) platform contracts. There is no per-user, metered, or outcome-based pricing — AI is accessible to all insured users within the licensed entity. | Gradient's AI models are accessed via cloud APIs, with open support for commercial and open-source LLMs, making it easy for carriers and partners to embed AI directly into their digital or legacy insurance workflows. |
Even well-secured apps can leak data
If your app pulls in third-party content — like URLs, comments, or files — LLM features can be tricked into leaking private data through indirect prompt injection. Most teams don’t even realize it’s happening.
According to a 2025 Gartner survey,
73%
of enterprises have suffered an AI-related security breach in the last year
$4.8M
average cost per incident — with indirect prompt injection and data leakage via LLMs now among the top attack vectors for financial services and healthcare organizations
In recent incidents, platforms like ChatGPT and Microsoft 365 Copilot were exploited by attackers using hidden prompts and indirect content injection, leading to unintended data exposure
