The Semantic Intelligence Platform Pronounced /koʊˈdʒɛnɪti/ or in simpler terms: koh-JEN-uh-teehttps://bsky.app/profile/coginiti.cohttps://bsky.app/profile/coginiti.co/post/3muhovt6cpd26We're exhibiting at Big Data LDN 2026. 23-24 Sept, Olympia London, Stand E34. Two talks: Matthew Mullins on the semantic layer as the control point for AI agents (Wed), Richard Hall on the context stack (Thu). Free tickets below. #BigDataLDN01 Sep 2026 15:03 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3muhovt6cpd26https://bsky.app/profile/coginiti.co/post/3muhfzckvjn2x"Semantic layers are just another abstraction." Everything in analytics is an abstraction. Tables abstract files. Views abstract queries. SQL abstracts execution. The question is whether it captures the right contract. A semantic layer abstracts business meaning. https://coginiti.co/blog/semantic-layers-agents-fud/01 Sep 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3muhfzckvjn2xhttps://bsky.app/profile/coginiti.co/post/3mtvsqsr7qt27"The LLM can just retrieve the documentation." Docs explains revenue in prose. The model still has to translate prose into query logic, and that translation is where drift enters: right definition, wrong table, wrong grain. https://coginiti.co/blog/semantic-layers-agents-fud/25 Aug 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mtvsqsr7qt27https://bsky.app/profile/coginiti.co/post/3mtjag7h2d62k"Ontologies and knowledge graphs will replace semantic layers." They describe how the business thinks about itself. Powerful, and complementary. But an ontology describes the business. A semantic layer has to answer questions against the data. https://coginiti.co/blog/semantic-layers-agents-fud/20 Aug 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mtjag7h2d62khttps://bsky.app/profile/coginiti.co/post/3mte7iezw262v"Semantic layers are only for business users." A leftover from the self-service BI era. Analysts, data engineers, analytics engineers, data scientists, applications, and agents all consume analytical meaning. Semantic layers are for every consumer, including software. https://coginiti.co/blog/semantic-layers-agents-fud/18 Aug 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mte7iezw262vhttps://bsky.app/profile/coginiti.co/post/3msxn5s5qns2j"Semantic layers are too hard to maintain." You're already maintaining semantic logic, scattered across snippets, stored procs, notebooks, and Slack. The layer doesn't add the burden. It makes it visible. Maintain it explicitly, or let it sprawl. https://coginiti.co/blog/semantic-layers-agents-fud/13 Aug 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3msxn5s5qns2jhttps://bsky.app/profile/coginiti.co/post/3mssmj64kha23"Semantic layers are brittle because the business changes." The business changing is the reason to govern definitions, not skip them. The alternative to governed change is silent drift across queries, dashboards, notebooks, and prompts. Pick which you'd rather have. https://coginiti.co/blog/semantic-layers-agents-fud/11 Aug 2026 12:29 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mssmj64kha23https://bsky.app/profile/coginiti.co/post/3msayxi5taa2o"Semantic layers can't handle complex analytics." They aren't meant to replace SQL, modeling, or exploration. But complex work still needs stable definitions: which customers are active, what counts as revenue. Not a cage. The governed foundation you build on. https://coginiti.co/blog/semantic-layers-agents-fud/04 Aug 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3msayxi5taa2ohttps://bsky.app/profile/coginiti.co/post/3mrugmvmdvm2q"Semantic layers are just metric stores." A metric without its business structure is incomplete. "Revenue" by what? Customer? Region? Recognized date? At what grain? Through which join path? Semantic layers model the structure, not just the formula. https://coginiti.co/blog/semantic-layers-agents-fud/30 Jul 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mrugmvmdvm2qhttps://bsky.app/profile/coginiti.co/post/3mrpfp3gkab2i"Semantic layers slow analysts down." Bad governance does. A good semantic layer speeds people up: no rediscovering the approved revenue calc, no reverse engineering joins, no asking five people which churn is correct. Restriction slows. Reuse accelerates. https://coginiti.co/blog/semantic-layers-agents-fud/28 Jul 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mrpfp3gkab2ihttps://bsky.app/profile/coginiti.co/post/3mrctegjuj32v"BI tools already have semantic layers." They do, and they were built to govern dashboards inside one tool. Governed meaning now has to serve SQL analysts, data products, APIs, and agents. BI semantics can't reach all of that. Enterprise semantics have to. https://coginiti.co/blog/semantic-layers-agents-fud/23 Jul 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mrctegjuj32vhttps://bsky.app/profile/coginiti.co/post/3mr5sgma7nf2z"The warehouse should own the semantic layer." Fine if you live inside one platform. Most enterprises run many, plus BI tools, notebooks, APIs, and agents. Trap semantics in one warehouse and consistency becomes lock-in. Enterprise meaning has to be portable. https://coginiti.co/blog/semantic-layers-agents-fud/21 Jul 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mr5sgma7nf2zhttps://bsky.app/profile/coginiti.co/post/3mqr7m4ptm52q"The data catalog is enough context." A catalog helps you discover and understand data. It does not define the approved measure, its grain, its join paths, or the executable logic to answer consistently. Discovery is not governance of execution. https://coginiti.co/blog/semantic-layers-agents-fud/16 Jul 2026 12:15 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqr7m4ptm52qhttps://bsky.app/profile/coginiti.co/post/3mqopmzwrzo2cThe uncomfortable part of your AI bill: the price you pay is below the true cost of serving it. Frontier labs subsidize inference to win the market. Gartner's own analyst says they're losing money, and the savings won't flow to you. Budget for the meter.15 Jul 2026 12:24 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqopmzwrzo2chttps://bsky.app/profile/coginiti.co/post/3mqm6omaqiz2f"Agents can infer the business logic from the schema." Schemas encode physical structure, not meaning. A table named orders won't tell an agent whether cancelled orders count as revenue. Metadata helps it reason. A semantic layer tells it what you agreed things mean. https://coginiti.co/blog/semantic-layers-agents-fud/14 Jul 2026 12:15 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqm6omaqiz2fhttps://bsky.app/profile/coginiti.co/post/3mqk4ism34c2xA Databricks engineer spent $7k on AI tokens in two weeks. Forbes calls it "tokenmaxxing." Gartner says token costs are on track to rival developer salaries. The token bill is an architecture problem, not a pricing one. https://coginiti.co/blog/semantic-layer-token-costs/13 Jul 2026 16:30 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqk4ism34c2xhttps://bsky.app/profile/coginiti.co/post/3mqctnq3ew22cA vendor-neutral standard convened by one vendor asks everyone to trust a venue they don't control. OSI is now Apache Ossie (incubating). The trademark, roadmap, and releases now belong to the community. https://coginiti.co/blog/apache-ossie-governance/10 Jul 2026 19:04 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqctnq3ew22chttps://bsky.app/profile/coginiti.co/post/3mqc7lvtul22hthe scary part is how good the wrong answer looks.10 Jul 2026 13:05 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mqc7lvtul22hhttps://bsky.app/profile/coginiti.co/post/3mpqof3kdps2aDocumentation was fine when humans were the consumers, but agents don't ask clarifying questions. #databs03 Jul 2026 13:41 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mpqof3kdps2ahttps://bsky.app/profile/coginiti.co/post/3mphbbynbjc24Coginiti 26.6 is here. We put AI inside the data pipeline. LLM Blocks in CoginitiScript make AI a first-class step alongside your SQL: generate synthetic data, classify, analyze sentiment, enrich text. Governed, testable, portable across platforms and models. Release notes 👇 https://coginiti.co/blog/coginiti-26-6-release-notes/29 Jun 2026 19:53 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mphbbynbjc24https://bsky.app/profile/coginiti.co/post/3mp6s7wkmuk2aThis is the conversation happening in a lot of AI analytics pilots right now. The demo works, the SQL is syntactically perfect, but then someone checks the number against the board deck only to discover the model invented its own churn definition and reported it with confidence.26 Jun 2026 11:02 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mp6s7wkmuk2ahttps://bsky.app/profile/coginiti.co/post/3moyohmmq2s2cMIT CISR's new semantic layer briefing gets the problem right: AI value is gated by meaning, not data. ~1 in 5 orgs curate well; those that do are 3x likelier to get AI value. But it defines the layer as representation. The fix is operationalization. Why that gap matters 👇 https://coginiti.co/blog/mit-semantic-layer-agent-workloads/24 Jun 2026 00:39 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3moyohmmq2s2chttps://bsky.app/profile/coginiti.co/post/3mov7qer2w22l"Semantic layer" means three different things right now: the one inside your BI tool, the universal one that serves every consumer, and the ontology from the semantic web. Same words with years of separate history. AI agents just made the difference expensive. https://coginiti.co/blog/three-meanings-of-semantic-layer/22 Jun 2026 15:37 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mov7qer2w22lhttps://bsky.app/profile/coginiti.co/post/3monjpftte22rthe AI agent, given full warehouse access, scrolling past your governed metric definitions to write a query against rev_amt_v2_final_OLD it's not bad at SQL. it's bad at knowing which of your six revenue columns is real. nothing in the schema tells it.19 Jun 2026 14:14 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3monjpftte22rhttps://bsky.app/profile/coginiti.co/post/3mogooti2a22xAI agents don't fail in production because the model isn't smart enough. They fail because they don't understand the data. Sharp panel with @bauplan.bsky.social on letting agents work safely on real data. Worth a watch 👇 https://youtu.be/s3NXZeuAbCc?si=rYlLXDqKdod6h5tw16 Jun 2026 20:55 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mogooti2a22xhttps://bsky.app/profile/coginiti.co/post/3mnkbiyjyhk2yAnthropic ran an experiment most vendors would never publish. They gave their analytics agent direct access to thousands of prior SQL queries (every business question already answered correctly) and confirmed the agent actually read them. Then they measured the accuracy gain. 🧵05 Jun 2026 13:44 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mnkbiyjyhk2yhttps://bsky.app/profile/coginiti.co/post/3mllrbwcpac2qThe webinar replay is up if you missed it. Christina Salmi (@ch1stna.bsky.social) and Matthew Mullins (@mmullins.coginiti.co) on the semantic layer imperative — 45 min + Q&A. https://youtu.be/xGZnUf4kmvU?si=8oTP46_OytJYsLkF11 May 2026 17:09 +0000at://did:plc:giu5o7uzub4qsjdxjipiizem/app.bsky.feed.post/3mllrbwcpac2q