ChainLabs builds HyperGEO, which makes generative AI cite your company accurately, and SBOMLens, which reads your software down to its cryptography. Both grew out of the principle we learned from blockchain: a claim should be verifiable.
Whether an AI is describing your company or a scanner is reading your code, the question is the same: can the claim be checked?
Make generative AI recommend you — accurately
HyperGEO optimizes your web structure and knowledge index so ChatGPT, Gemini, Perplexity and Claude cite your products with the right facts.
SBOM + CBOM + PQC from a single scan
SBOMLens identifies open-source components, matches them against NVD, OSV and GHSA, and inventories every cryptographic algorithm with a post-quantum grade.
HyperGEOSearch gives a list of links. Generative AI gives the answer itself — and when that answer is wrong, there is no one to correct it. HyperGEO makes sure ChatGPT, Gemini, Perplexity and Claude cite your company with accurate facts.
ChatGPT
Gemini
Perplexity
ClaudeAsk an AI and your company is missing from the shortlist.
Prices, specs and retired licences differ engine by engine.
Text and structured data conflict, so bots misread the facts.
| SEO | GEO | |
|---|---|---|
| Goal | Clicks on a results list (CTR) | Cited in the answer itself (SOV) |
| Reading | User visits several sites | AI summarizes many sources into one |
| Signals | Keywords, backlinks, CTR | RAG index, schema markup, factual accuracy |
Measured for 4 weeks after the fixes
Quick Diagnosis free (one-off) · monthly plans from ₩1,100,000
SBOMLensSBOMLens identifies open-source components from manifests and lockfiles, checks their vulnerabilities and licences, and from the same scan produces a cryptographic bill of materials — every algorithm graded for post-quantum readiness.
npm, PyPI, Maven, NuGet, Go, Cargo, Composer, RubyGems, CocoaPods, SwiftPM. CycloneDX 1.6 / 1.5 and SPDX 2.3.
From source in 7 language families, TLS configs and PEM certificates and keys, with certificate expiry tracking.
NIST-based grade per asset and a named successor — ML-KEM for key establishment, ML-DSA for signatures.
Matched against NVD, OSV and GHSA. Builds fail when no advisory source answers; VEX statements carry their evidence.
SBOMLens produces the inventories these rules start from; it does not certify compliance.
Free plan available · Standard $199 per organization / month — not per developer
Verifiable records were our first principle, and we still build with it — for clients who need chains, contracts and AI systems done properly.
Smart contracts, DApps and token economy design on Ethereum, Solana and other chains.
Contract security audits, code vulnerability analysis and security architecture design.
Custom ML, LLM chatbots and RAG systems that put your own data to work.
Cloud infrastructure and CI/CD pipelines on AWS, GCP and Azure for reliable operations.
ChainLabs (Chainlabs Co. Ltd.) is an AI, security and blockchain company based in South Korea. We started with distributed ledgers, and the idea behind them — that a record should be verifiable — now runs through everything we make.
Today that idea has two products: HyperGEO, for how generative AI describes a company, and SBOMLens, for what a piece of software actually contains.
We publish our methods and our limits — HyperGEO its full case methodology, SBOMLens a list of what it does not do yet.
Structured data, open standards and plain-text references, so machines read the same facts people do.
CycloneDX, SPDX, Schema.org and NIST guidance — outputs you can take anywhere.
Built in Korea, with products and support in both languages.
Open standards our products speak, and the stack we build them with
The people behind HyperGEO, SBOMLens and our engineering work
10+ years in AI and blockchain; leads strategy for HyperGEO and SBOMLens
Development, infrastructure and backend
Generative AI research across NLP and computer vision
Technical SEO/GEO, RAG index analysis and Schema.org structured data
Tell us which product or project you have in mind. We'll get back to you with a concrete next step.
Room 402, Jayeon-gwan, 121 Daehak-ro, Nonsan, South Korea
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