---
title: "Building the platform behind the agents."
description: "OpenServ needed an AI agent platform and the team to build it. We brought technical leadership, architecture, and engineering, connecting reasoning research with a product customers could use."
url: https://coyotiv.com/work/openserv/
---

1. [Work](https://coyotiv.com/work/)
2. [OpenServ](https://coyotiv.com/work/openserv/)

# Building the platform behind the agents.

OpenServ needed an AI agent platform and the team to build it. We brought technical leadership, architecture, and engineering, connecting reasoning research with a product customers could use.

[Book a call](https://coyotiv.com/work/openserv/#book) [See all work](https://coyotiv.com/work/)

Client

OpenServ

Sector

AI infrastructure

Our role

Fractional CTO, AI architecture, and platform engineering

Today

An agent API and marketplace used by customers

The story

1. [A new company without a platform or an engineering team.](https://coyotiv.com/work/openserv/#a-new-company-without-a-platform-or-an-engineering-team)
2. [A working platform with a team behind it.](https://coyotiv.com/work/openserv/#a-working-platform-with-a-team-behind-it)

## A new company without a platform or an engineering team.

OpenServ started with the need to support agentic AI use cases. Building the company meant establishing both the technology and the people who would develop it.

The product also had to address questions that matter once agents perform real work: how they collaborate, how their execution can be reviewed, and how different models fit into the system.

## A working platform with a team behind it.

OpenServ developed an agent API and marketplace used by customers, supported by an engineering team and a research-based approach to auditable reasoning.

The engagement brought together the platform, the organization building it, and the methods used to examine AI execution.

Research behind the work: BRAID, Bounded Reasoning for Autonomous Inference and Decisions, by Armağan Amcalar and Eyup Cinar. Research conducted at OpenServ Labs; published on arXiv in December 2025.

How it went

## Build the team and the technology together.

1. Leadership  
### Establish engineering leadership  
We provided fractional CTO leadership and helped build the engineering team from scratch. Architecture and implementation were part of the same engagement, keeping technical direction connected to delivery.
2. Platform  
### Develop the agent platform  
The work included an API for distributed agent collaboration, an agent platform, and a marketplace. These capabilities gave customers a way to use and coordinate agents through a shared infrastructure.
3. Research  
### Bring research into the product  
OpenServ’s reasoning work draws on BRAID: Bounded Reasoning for Autonomous Inference and Decisions. The research uses structured instruction graphs to guide reasoning, and its product application creates a traceable record of execution steps.
4. Models  
### Support different models  
The platform works with upstream models from OpenAI, Anthropic, and Google, as well as local models. The engineering work examines which models fit a workflow and the quality and cost tradeoffs involved.

The result

## A working platform with a team behind it.

[Read the BRAID paper](https://arxiv.org/abs/2512.15959)

An agent API and marketplace used by customers.

Live

An engineering team behind the platform, and a research-based approach to auditable reasoning.

Own team

More work

## More work.

[See all work](https://coyotiv.com/work/)

Personalized products and fulfillment

### [A critical application, ready to run the business.](https://coyotiv.com/work/thefreshener/)

Months of continued development added features and integrations, allowing the company to expand its operations to new product types.

TheFreshener

HR technology and hiring

### [A hiring workflow that had outgrown a single agent.](https://coyotiv.com/work/klareda/)

Klareda could take on larger hiring use cases, with the work divided across agents and their steps available for review.

Contact

## Book a call.

Free, 30 minutes, with an engineer. Tell us what you are working on.

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[hello@coyotiv.com](mailto:hello@coyotiv.com)