Product · Control plane
nexopay
nexopay is where this way of thinking started: if an agent is going to move money, the interesting engineering is not the payment. It is everything that decides whether the payment should happen at all.
The problem it addresses
- Agents act faster than any human review process, so approval has to be part of the system.
- A payment that cannot be explained afterwards is a problem long before an auditor asks.
- Every safeguard added late tends to be a safeguard that can be bypassed.
The principles it is built on
- Guardrails in the path of the action, not in a report read afterwards.
- Fail-safe by default: when something is uncertain, nothing moves.
- Auditable by design, so the record is a byproduct of the work rather than a separate effort.
- Limits that live outside the agent, because a limit an agent can talk its way past is not a limit.
Where it sits in the family
nexopay is the control plane; bridle is the piece of it we opened, because a guardrail benefits from being inspectable; Bridle Personal puts the same idea in the hands of a person rather than an agent.
We put AI in almost any business.
- 01
Discovery
We map your processes and data to find where the lost time lives.
- 02
Advisory
We identify what can be automated and what AI actually improves. Judgment, not hype.
- 03
Proposal
We tell you what to do and how, with clear scope, ROI and risks.
- 04
Adoption
We build the agents and integrate them into what you already use.
- 05
Ongoing support
We measure, tune and stay with you as you use it.
Questions we get asked
Is it available today?
Not as a product you can sign up for. It is where the approach comes from, and parts of it are open source as bridle. If it is relevant to what you are building, talk to us.
Why does it matter to me if I am not building payment agents?
Because the same principles apply to any agent that acts: limits outside the agent, fail-safe defaults, and a record you can read later.
Can I see the code?
The part we open-sourced is bridle. The rest is not public today, and we would rather say that than imply otherwise.
Agents that act on the real world?
That is the conversation we find most interesting. Tell us what your agent is allowed to do and we will tell you what we would put around it.