What we do
We build blockchain systems, AI agents, and web and mobile applications, then do the search and AI-search work that gets them found. The engineers who scope the work are the ones who ship it, and the same firm answers for what happens after launch.
We design and build on-chain systems: smart contracts, decentralized applications, tokenization, wallets, and integrations with the chains and services you already use. We start with the question most vendors skip (whether a blockchain is the right tool at all) and only build when it earns its place.
When it does, security is the first requirement we design for. Clear architecture, real test coverage, and audit-readiness come from the first commit. You get systems that hold up to scrutiny, and a team that can explain every decision behind them.
Typical engagements
- Smart contract development: design, implementation, and testing, to the standards your chain and auditors expect
- DApp (decentralized application) development: full-stack, from wallet connection to contract
- Tokenization of assets, access, or value, with the compliance questions asked up front
- Wallet integration and account abstraction
- Chain integrations: connecting on-chain systems to the apps and data you already run
- Architecture and audit-readiness review, before you commit to a build or an auditor
- Protocol and mechanism design, when the incentives are the product
We build agents that complete tasks end to end, LLM-powered features inside your product, and integrations that connect models to your data and tools. Every engagement is scoped around a measurable outcome: tickets resolved, documents processed, hours saved.
The safety work starts on day one, because that is where agent projects live or die. And when a plain function would do the job better than a model, we will say so. We work with the most capable current models and design so you can swap them as the field moves.
Typical engagements
- AI agent development: task-completing agents wired into your systems
- LLM features inside an existing product: search, drafting, extraction, classification
- Retrieval and knowledge systems over your own data
- Evaluation, guardrails, and monitoring for AI in production
- Model and architecture selection, including when buying beats building
- Integration with the tools and data you already run
Web platforms, native and cross-platform mobile apps, APIs, and the infrastructure that keeps them running. Senior engineers own each project end to end, so the person who scopes your app is the one who ships it.
We build for the second year as much as launch day: documented, tested, and structured so your team, or ours, can extend it later without archaeology. Product from zero or a rescue on something that stalled — either way, we scope it first and ship working software every week.
Typical engagements
- Web platforms and dashboards, from MVP to production scale
- iOS and Android apps: native or cross-platform, chosen for your case, not our habit
- API design and backend engineering
- Infrastructure, CI/CD, and observability
- Rescue and hardening of stalled or fragile codebases
- Technical due diligence and architecture review
We make what we build discoverable. Traditional SEO gets you ranked in Google: technical foundations, structured data, fast and crawlable pages, and content that answers real questions.
GEO (generative engine optimization) is the newer half. It means getting your business cited by AI assistants like ChatGPT, Claude, Perplexity, and Google's AI Overviews when people ask them a question instead of typing a search. The two share a foundation of clean semantics, structured data, and clear factual content a machine can parse, and we build for both. This very site is built the way we would build yours: fast, semantic, accessible, and legible to crawlers and models alike.
Typical engagements
- Technical SEO: crawlability, performance, Core Web Vitals, and indexation
- Structured data and schema: Organization, Product, FAQ, Article, and more
- GEO: content and markup that gets you cited by AI assistants as well as ranked
- llms.txt and AI-readable content structure
- Content architecture for search engines and answer engines
- Analytics and Search Console setup: measurement you can verify yourself
Not sure which of these you need?
Most people aren't when they call. Thirty minutes is usually enough to point you at the right first step, even if it isn't with us.