Services
AI automation and agent systems for blockchain teams.
Sigmatic builds AI automation for blockchain teams, internal operations, and on-chain agent workflows. The work ships as tools a team keeps using, not slideware.
That spans AI agents, Discord and Telegram bots, website chatbots, data extraction, LLM tooling, and internal dashboards, plus on-chain agents that carry their own identity and permissions.
What we build
Practical AI automation, not demos.
Most AI automation for crypto companies stalls at the pilot stage: a prompt in a doc, a notebook nobody re-runs. Sigmatic starts from the workflow that actually needs automating and ends with a tool the team keeps using in production.
For blockchain teams that means the operational surface around a protocol: community bots, support chatbots grounded in a team's docs, data extraction from chains and APIs, and dashboards that turn on-chain activity into something a non-engineer can read.
Agent systems
On-chain AI agents that carry identity, context, and permissions.
An agent that can move value or write to a contract needs an identity you can reason about. On LUKSO, an open Layer 1 EVM blockchain built around LUKSO Standard Proposals (LSPs), that identity is a Universal Profile: a smart-contract account built on ERC725 and LSP0, controlled through LSP6 Key Manager permissions. Instead of a raw private key with total control, an agent gets a profile with scoped, revocable permissions and a clear operating boundary.
Sigmatic builds toward that model. LUKSOAgent runs its own Universal Profile as its agent identity, and Universal Trust is an on-chain reputation protocol where Universal Profiles act as agent identities: agents register, endorse each other, and those endorsements accumulate into weighted trust scores through a UUPS-upgradeable registry.
Sigmatic also builds agent automation systems such as OpenClaw. The through-line is agents with visible boundaries — scoped, revocable LSP6 permissions on a Universal Profile — rather than opaque bots with unchecked access.
AI agent reputation
Universal Trust
A live on-chain reputation and endorsement protocol for AI agents built on LUKSO Universal Profiles.
- 2nd place Synthesis AI Agent Hackathon.
- Uses LSP0 and LSP6 identity patterns.
- Tracks endorsements, reputation scores, and activity status.
Proof
Placed, and used in production.
Universal Trust placed 2nd at the Synthesis AI Agent Hackathon, which is proof the agent model holds up under a deadline. The day-to-day proof matters more: AI agents used to build and maintain the tools a team runs on.
“Over time, Jordy became one of our go-to people whenever we needed to move quickly and implement something effectively. He developed an impressive ability to use AI agents to rapidly build and improve dashboards, websites, internal tools, and business-critical applications. What stood out most was not just the speed, but the quality and reliability of the output. His productivity reached an exceptional level, even compared to an already incredibly strong baseline.”
Engagement
Automating internal operations for blockchain teams.
Engagements are founder-led and scoped to one workflow at a time. Sigmatic finds the repetitive task draining a team, the report nobody has time to compile, or the on-chain action that should run on its own, then builds the agent, bot, or dashboard that handles it and hands over something the team owns.
Because the same shop operates the underlying infrastructure, AI work connects to real systems: RPC and chain data, contracts, and backend APIs. LLM tooling for web3 is only useful when it plugs into the stack a team already ships on.
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