Partners
The organizations that made Clawable possible — and why their work matters for the future of autonomous agents.
Clawable is an open project. It exists because of people and organizations who believe that knowledge about autonomous agents should be accessible to everyone building the future.
The Partners Behind Clawable
The handbook you just read covers one of the most rapidly moving frontiers in modern software development. It is written, revised, and updated continuously — against a source codebase, against verified news, against production deployments in the real world.
That work is made possible by two partners who don’t just fund the project, but who actually live in the problem we describe: how autonomous agents and private AI are changing how businesses are built and operated.
LiteIT
liteit.se
“Liteit tar ledarskapet till nästa nivå — den digitala medarbetaren är här.”
LiteIT is a Swedish consulting and transformation firm with an unusual thesis: the next frontier of leadership is not managing people better — it is knowing how to lead digital employees alongside human ones.
The firm has deep roots in leadership development; long before agentic AI existed, it trained managers in group dynamics and self-leadership. That background shapes how it approaches agents — not as an IT project but as a leadership transformation, built on open-source software that runs on the organization’s own data.
Two of the tools it works with appear in this handbook. FlowWink is the process layer, where agents in different roles can run and simulate a business’s flows autonomously. AgentHotel (chapter 33) is how a fleet of those agents gets set up and operated. Both are open source, and neither requires LiteIT to use.
Autoversio
autoversio.ai · autoversio.com
Autoversio focuses on the next logical step after this handbook: private AI, entirely within your organization, without data leaving your walls.
Uppsala-based. Founded with a clear thesis: cloud-based AI is fundamentally wrong for sensitive data.
Autoversio implements private AI ecosystems — locally, on-premise, isolated from the outside world — for organizations where data control is not a wish but a requirement. Financial services, legal, healthcare, public sector, manufacturing with trade secrets. Any industry where “your data goes to OpenAI” is not an answer.
Why this is directly relevant to what we describe in Clawable:
The entire handbook is built on one premise: the agent understands the business and learns from it. That requires the model to see your data — your leads, your content, your customer conversations, your strategy. If that data cannot leave your organization, you need a private inference environment.
Autoversio solves exactly that problem. Their architecture:
- Creates a private AI ecosystem within the organization’s infrastructure
- Validates every new AI component in a “digital twin” before activation — the principle of reversibility (chapter 20) in practice
- Lets the system learn and create new agents locally, to optimize specific processes
- Gives full ownership of data, models, and decision trails
The direct connection to agentic governance:
In chapter 20 we describe McKinsey’s four-layer accountability model and why transparency is the most important principle in agent governance. “The human should be able to understand the agent’s soul by reading three files.”
That principle cannot be fulfilled if your agent’s reasoning happens on an external server you don’t control. Autoversio’s premise — that AI must be local to be trustworthy — is complementary to the entire framework Clawable describes.
For organizations in regulated environments, or for anyone who has seen what happens when sensitive prompts and business data end up in telemetry logs at a cloud provider you never chose to trust: Autoversio.
Become a Partner
Clawable is updated continuously with verified content about OpenClaw, Flowwink, agentic governance, and the ecosystem growing faster than anyone predicted.
If your organization works with, builds on, or has deep expertise in autonomous agents — and wants to be visible in the context read by those building the future — reach out.
Clawable is an open project with a simple mission: give everyone building autonomous systems access to the knowledge that otherwise only exists with those who have already made the mistakes.
For full source references used across this handbook, see Appendix E: Sources & References.
Thank you to our partners LiteIT and Autoversio for making this possible.