Partners
The organizations that made Clawable possible — and why their work matters for the future of autonomous agents.
Partners
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’s knowing how to lead digital employees alongside human ones.
The company has deep roots in leadership development. Long before agentic AI existed, LiteIT was training managers in group dynamics and self-leadership. That background now shapes a very specific product offer: helping organizations implement autonomous agents not as IT projects, but as a leadership transformation.
Their platform is ClawStack — the same infrastructure described in chapter 17 of this handbook. On top of ClawStack, LiteIT builds what they call a digital company: AI agents with goals, memory, and the ability to learn, working autonomously across processes from first customer contact through quote, delivery, and follow-up. The organisation’s “digital employees” are OpenClaw instances, each with a soul, an identity, and a mandate. Paperclip sits on top as the orchestrating layer — the CEO that delegates.
What LiteIT offers:
- Autonomous agents — implement digital employees powered by OpenClaw technology, working toward their own goals, remembering context, and self-improving over time
- Consulting — specialists in product development, process management, and digital transformation, from strategy through implementation
- Human + AI leadership — guidance on role division and accountability between human leaders and digital agents, so technology and leadership reinforce each other rather than conflict
- Process efficiency — identifying where the potential is greatest, then removing unnecessary work through automation
This is exactly the “Agent Manager” role HBR described in February 2026 — but LiteIT is not writing about it, they are doing it, in client organizations, today.
Autoversio
autoversio.ai · autoversio.com
Autoversio builds what is the next logical step after reading 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 14) 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 14 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.
Thank you to our partners LiteIT and Autoversio for making this possible.