Services
AI, fluent in crypto.
Offerings
Six ways we put AI to work for you.
Risk analysis
AI-assisted risk reviews for treasuries, LP positions and protocols: concentration, liquidity depth, impermanent loss, validator and counterparty exposure, stress-tested against real on-chain history.
- Position & treasury risk reports
- Scenario and stress tests
- Automated risk alerts
AI integration
We wire AI into the tools your team already uses: RPC nodes, indexers, block explorers, spreadsheets and internal APIs. Built with tool use and MCP servers, so answers come from your data, not guesswork.
- Custom MCP servers & tools
- Internal research assistants
- Slack / dashboard integrations
On-chain data science
From raw blocks to decisions. Data pipelines, statistical modelling, anomaly detection and forecasting, with AI speeding up exploration while our analysts verify every number.
- Data pipelines & warehouses
- Models, forecasts & anomaly detection
- Dashboards like ours
Governance intelligence
Proposal summaries, impact analysis and validator scorecards, generated with AI and reviewed by people who have voted on hundreds of proposals as an active validator.
- Proposal briefs & impact analysis
- Validator scoring
- Voting-policy support
Workflow automation
Hand the repetitive work to agents: daily treasury reports, reconciliation, research digests and monitoring that flags only what needs a human.
- Scheduled reports & digests
- Agentic monitoring
- Human-in-the-loop review flows
Team enablement
Workshops that get analysts, traders and engineers productive with AI: prompting for analysis, evaluating outputs, and safe patterns for working with financial data.
- Hands-on workshops
- Prompt & evaluation playbooks
- Ongoing office hours
Who we help
DAOs & treasuries
Monitor treasury risk, summarize proposals for voters, and produce transparent reports for your community.
Funds & trading desks
Faster research on new pools and tokens, stress tests on positions, and alerts when on-chain conditions change.
Protocols & chains
Understand liquidity, incentives and user behaviour, and give your community self-serve analytics.
Validators & infra teams
Governance tracking, delegation analytics and operational reporting, built by people who run validators.
Engagements
Start small, scale what works.
Workshop
1–2 days
A hands-on session for your team: how to use AI for analysis and research, with exercises on your own data.
- Tailored to your workflows
- Prompt & evaluation playbook
- Follow-up Q&A
Prototype sprint
Most popular2–4 weeks
We pick one high-value workflow, such as a risk report, research assistant or monitor, and ship a working version on your data.
- Working prototype
- Measured against your baseline
- Roadmap to production
Ongoing partnership
Monthly
An embedded data and AI team that keeps building, maintaining and improving your AI-powered workflows.
- Dedicated analysts
- New workflows each cycle
- Monitoring & evaluations
How we work
A clear path from idea to production.
- 01
Discover
We map your workflows, data sources and risk questions, and find where AI will save the most time or catch the most risk.
- 02
Prototype
Within a couple of weeks you get a working prototype on your real data, so you can judge the value before committing further.
- 03
Integrate
We harden it: connect your systems, add evaluations and guardrails, and fit it into how your team already works.
- 04
Hand off
Documentation, training and optional ongoing support, so your team owns the result.
Principles
Built for the stakes of financial data.
Read-only by default
We never need your private keys. Integrations read chain data and your systems; anything that acts needs human sign-off.
Humans check the numbers
AI speeds up the analysis, and our analysts verify the extraction, method and results before anything reaches you.
Your data stays yours
We follow your data-handling requirements and design workflows so that sensitive information goes only where it should.
Measured, not hyped
Every workflow ships with evaluations, so you can see how accurate it is and where it still needs a person.
Have a question your data should be able to answer?
Tell us about it. We’ll come back with a plan for answering it with AI, and what it would take.