AI-powered evaluation using the Model Context Optimization BS Detection Framework, based solely on publicly available website content.
Based on 366 businesses audited.
Obsidian Systems has 27.7 points less BS than the average for Crypto, Blockchain & Web3.
Crypto, Blockchain & Web3 BS: Obsidian Systems (obsidian.systems)
Obsidian Systems is a rare example of a high-substance engineering shop in an industry usually filled with hot air. They trade in technical deliverables and verifiable history rather than speculative roadmaps and generic tokenomics. The BS score is driven only by minor technical SEO omissions and trust signals, not content deception.
Implement Organization and Person schema with sameAs links to verify founders’ identities and professional footprints. Update stale performance metrics, such as the 2017 Tezos valuation, to reflect 2026 market data. Add outbound links to the cited Twitter and Reddit testimonials to resolve the trust theatre flag. Ensure all case study images include descriptive alt text to maintain the technical excellence claimed in the copy.
Information density is exceptionally high, with a minimal ratio of power words to concrete nouns. The site lists specific deliverables such as Haskell software, Nix infrastructure, and Ledger Nano X hardware wallets instead of generic jargon. Most headings, like 10 Weeks. We’ll make it real, are backed by extensive project summaries containing named clients like MIT Kanwisher Lab, NYU Law, and the Tezos Foundation.
Most sites "have schema," but AI still cannot understand what their pages represent. Run a Structured Data AI Audit to see what entity types your pages actually resolve into.
Zero semantic drift was detected between the homepage H1 and sub-page content. The promise to get you from 0 to prototype is directly supported by over 20 detailed case studies ranging from DeFi wallets for Kadena to mission-critical avionics for Kittyhawk. The messaging is consistent across all crawled pages, maintaining a rigid focus on technical excellence and engineering rigor rather than marketing hype.
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The site triggers a trust theatre flag because testimonials from Reddit and Twitter are included without direct outbound proof links in the metadata, despite citing specific handles like Tai Zen. However, the presence of major institutional partners like MIT, NYU, and the Tezos Foundation provides significant external validation. Unsubstantiated performance claims are virtually non-existent, as every claim is tied to a specific project description or measurable outcome.
The proof density is robust, with a high ratio of named clients and specific outcomes compared to vague assertions. Mentioning over 400 validators for Tezos and specific police departments using their mobile screening tools in Indianapolis and McLean serves as hard evidence. Nearly every section of the site functions as a case study, creating a substance-to-fluff ratio that is rare in the Web3 space.
To see how the system reconstructs a medical entity graph at scale, review the full Cleveland Clinic Structured Data audit. View the Cleveland Clinic Structured Data Audit for a live example of identity level decomposition and cross page entity mapping.
The commodity fingerprint is very low due to unique positioning around specialized tech stacks like Haskell and Nix. While the site uses industry jargon such as smart contract architecture, it does so to describe specific technical work performed for clients like Securitize. The value proposition is not a copy-paste template; the focus on a 10-week prototype window and the founders’ Harvard Law backgrounds significantly differentiates them from typical dev shops.
Authority is high but technically under-documented in the structured data; the site names founders Ali Abrar and Ryan Trinkle but lacks JSON-LD Person schema or sameAs links to their LinkedIn or GitHub profiles. There is no structured data present to verify the organizational identity, which is a minor technical gap for a company claiming technical excellence. Despite this, descriptions of upstreaming contributions to the Glasgow Haskell Compiler provide strong technical authority.
There is no disconnect between marketing tone and demonstrated capability. Bold claims regarding the 10-week timeline are presented as a firm commitment, and the variety of complex case studies—such as building a bridge for Securitize to Tezos—proves the ability to deliver. The site demonstrates a high level of transparency regarding the specific services provided for each client entity.
Crypto, Blockchain & Web3 BS: Obsidian Systems (obsidian.systems)
Obsidian Systems perfectly aligns with the Crypto, Blockchain & Web3 industry but operates as a high-substance engineering firm rather than a speculative protocol provider. The content focuses on technical deliverables like Haskell infrastructure and hardware wallet integrations, proving their role as a specific service provider in the decentralized ecosystem.
If your entity graph is unstable, every other part of the framework inherits that instability. Study the Structured Data Framework Guide and see why schema is not markup — it is the machine readable definition of your domain.
“The low BS score of 18 is primarily driven by the lack of technical schema (Identity and Authority) and the absence of external verification links for reviews (Trust Theatre). The core pillars of Information Density and Semantic Coherence scored near-perfectly due to the granular specificity of the work described. Unlike most competitors, the site provides forensic-level detail on every project mentioned.”
Analysis Disclosure & Source Attribution
Snapshot Date: May 25, 2026
Purpose: This data is presented under “Fair Use” / “Educational Exception” for the purpose of forensic semantic analysis, allowing users to see how machine logic interprets digital signals.
Machine Perception Notice: This evaluation is generated by machine-read logic (MRL). The AI interprets the “Digital Ghost” of a website (code, metadata, and semantic structures), which may differ from what a human sees at the same moment. This is an automated technical diagnostic and not a statement of fact or human opinion regarding the real-world integrity or legitimacy of the business. Any missing or inaccessible elements in the snapshot are treated as machine-read signals, reflecting AI rendering limitations rather than intentional omission.
Notice to the Evaluated Business: This analysis is part of a non-adversarial audit. The results are intended as professional feedback to help improve machine-readability and authority signals. Any company can use these insights for free. When content is updated, a fresh audit can be requested at any time to reflect the current state.
To All Users: You are encouraged to visit the live site at Obsidian Systems to view the most current version of their content and see directly what the company offers.