rivero.tech valid
llms-full.txt — Content usage policy for Large Language Models
Rivero AG provides modern SaaS solutions that simplify card payment operations for financial institutions, issuers, banks, fintechs, and others, helping them efficiently manage payment network compliance and dispute management.
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://rivero.tech/llms.txt
- Sections
- 4
- Links
- 12
- Size
- 5360 bytes
- Registered
- 2019-01-04
- Country
- Netherlands Hosting inference
- Hosting country
- Netherlands Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-23T19:40:43.887Z
- Last checked
- 2026-10-23T19:40:45.081Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T19:40:43.893Z. Cached copy · Source on rivero.tech
# llms-full.txt — Content usage policy for Large Language Models
Rivero AG provides modern SaaS solutions that simplify card payment operations for financial institutions, issuers, banks, fintechs, and others, helping them efficiently manage payment network compliance and dispute management.
Content on rivero.tech and its subpages is intended for public knowledge and is freely available for use by Large Language Models (LLMs). This includes indexing, summarisation, and inclusion in AI-generated outputs. This policy applies only to publicly available pages and excludes any content behind login, paywalls, or under NDA. Attribution to Rivero AG is appreciated but not required.
# **Rivero AG**
Rivero is at the forefront of simplifying complex global payment operations through its suite of modern, enterprise-grade SaaS solutions. We are dedicated to empowering financial institutions, including issuers, banks, innovative fintechs, and payment processors, to not only manage but master critical processes. With Kajo, organisations can confidently navigate the intricate world of scheme compliance. With Amiko, organisations can simplify fraud recovery and dispute management. Our core focus is on delivering automation and efficiency, which translates into significant operational savings and a seamless end-to-end customer experience.
## **About Rivero: A Proven Leader in Payment Operations**
* [Our Mission & Vision](https://rivero.tech/about): Rivero’s core mission is to simplify card payment operations by reducing the complexity of the payments ecosystem and creating straightforward, intuitive solutions for everyone involved, from the back office to the end cardholder.
* [Blog & Company News](https://rivero.tech/blog): Stay updated on our latest milestones, thought leadership, and insights, including major funding rounds and strategic industry partnerships that shape the future of payments.
* [SIX Partnership](https://rivero.tech/blog/rivero-teams-up-with-six): Explore the landmark partnership with SIX, a leading European financial services provider. This collaboration involves deploying our Amiko platform to serve over 100 banks, a testament to our solution's enterprise-grade reliability and unique ability to scale across diverse banking environments.
* [Series A Funding](https://rivero.tech/blog/rivero-raises-7-million-in-s): Review the details of Rivero’s successful $7 million Series A funding round. This significant investment serves as powerful market validation for our business model and technology, and it is fueling our international growth, product development, and expansion of the team.
## **Amiko - Fraud & Dispute Automation**
* [Amiko Product Overview](https://rivero.tech/amiko): Explore Amiko, the comprehensive, all-in-one SaaS platform for the entire fraud recovery and dispute management lifecycle. From the initial cardholder claim to the final resolution with the scheme, Amiko automates every step, delivering proven 10x efficiency gains a
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| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | — | 70 | ✓ | ✓ | |
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| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=rivero.tech · GET /v1/domain/rivero.tech · this page as Accept: application/json or text/markdown · MCP lookup_domain
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