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coginiti.co

@coginiti.co
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The Semantic Intelligence Platform Pronounced /koʊˈdʒɛnɪti/ or in simpler terms: koh-JEN-uh-tee

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coginiti.co @coginiti.co · 24/09/2026
Last few hours at Big Data LDN. Stand E34 until close. If you caught either talk and want to see the ideas running rather than described, there's a live environment on the stand and no queue at this hour. #BigDataLDN
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coginiti.co @coginiti.co · 24/09/2026
"Semantic layers are too rigid for AI" The opposite. The more probabilistic the interface, the more it needs a deterministic contract underneath. Without one, the same question gives different answers by prompt wording or model version. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 24/09/2026
Day two, 25 minutes out. AI Context Theatre, 10:40. Richard Hall on what semantic models, ontologies and context engineering each actually do, and when to reach for which. Stand E34 after. #BigDataLDN
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coginiti.co @coginiti.co · 23/09/2026
Starting in 25 minutes. Lightning Talks Theatre, 10:40. Matthew Mullins on context, governance and cost control for AI agents. Stand E34 after. #BigDataLDN
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coginiti.co @coginiti.co · 22/09/2026
"Nobody agrees on the definitions anyway." That's the point. Disagreement is the reason semantic layers exist. Without one, four teams' definitions of "customer" get encoded silently into dashboards and queries. With one, disagreement becomes a governed decision. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 21/09/2026
Big Data LDN this week. Stand E34, both days. Wed 23rd, 10:40, Lightning Talks Theatre: Matthew Mullins, Not Your Mum's Semantic Layer. Thu 24th, 10:40, AI Context Theatre: Richard Hall, The Context Stack. Still time to register free. #BigDataLDN
bigdataldn.com
Big Data LDN 2026 | Register free
23-24 September, Olympia London. Coginiti on Stand E34.
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coginiti.co @coginiti.co · 17/09/2026
Nobody budgets for the tokens an agent spends finding its way around. Lists tables. Samples rows. Tries a join, fails, tries another. Then rediscovers the whole schema on the next question. Token spend is an architecture problem. #BigDataLDN #FinOps
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coginiti.co @coginiti.co · 17/09/2026
"Semantic layers are only useful after the data is perfect." The perfection trap. Nobody has perfect data, and waiting for it means waiting forever. The semantic layer is part of how you make data usable. Start with the metrics that matter most, not day-one everything. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 15/09/2026
The failure mode of an agent on raw schemas isn't that it breaks. It's that it succeeds. Counterintuitive right? The agent returns some number. Correctly formatted, plausible, wrong, because it picked orders.amount and you define revenue net of returns. Nobody catches it. #BigDataLDN
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coginiti.co @coginiti.co · 15/09/2026
"We can solve this with prompt engineering." A prompt that says "use approved revenue" is not a governed revenue measure enforced in the execution path. Prompts are hard to audit, version, and test. Prompts guide behavior. A semantic layer governs meaning. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 10/09/2026
An analyst joining your company gets onboarding and a colleague to ask. An agent gets a connection string. No institutional memory, nobody to ask, machine speed. When it guesses wrong about revenue it does so confidently and at scale. #BigDataLDN #AIAgents
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coginiti.co @coginiti.co · 10/09/2026
"Governance kills agent autonomy." A self-driving car still needs traffic laws and lane markings. Let agents explore freely. But when one answers an enterprise metric question, it shouldn't invent the definition. Autonomy to explore, governed semantics to answer. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 09/09/2026
Agents stopped failing at SQL. For the strongest model tested, 60%+ of remaining failures were semantic: wrong metric, wrong source, wrong join key. New research on what survives as models absorb the stack.
coginiti.co
Better Models Make Semantic Context Matter More | Coginiti Blog
A Berkeley/Stanford paper shows better models absorb agent scaffolding while semantic failures dominate. Why persistent, governed semantic context becomes the durable engineering problem.
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coginiti.co @coginiti.co · 08/09/2026
Semantic model. Ontology. Context engineering. Three terms used interchangeably by people selling three different things. Richard Hall sorts them out at Big Data LDN. AI Context Theatre, Thu 24 Sept, 10:40. What each one does, and when it doesn't. #BigDataLDN
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coginiti.co @coginiti.co · 08/09/2026
"It's just an old BI idea with new marketing." The idea is decades old. That's a strength. What changed is the number of consumers: agents, notebooks, workflows, embedded apps, decision systems. AI multiplied the systems that need governed access to meaning. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 03/09/2026
For 20 years the semantic layer was a BI convenience. Friendly names so nobody had to remember which table held revenue. That was built for humans clicking dashboards. The user has changed. Matthew Mullins, Big Data LDN, Wed 23 Sept 10:40, Lightning Talks Theatre. #BigDataLDN
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coginiti.co @coginiti.co · 03/09/2026
"Semantic layers hide the underlying data." A good one does the opposite: exposes definitions, shows the generated SQL, provides lineage, keeps version history When an agent answers, you should see the metric, the filters, and the query it ran. Explicit and inspectable coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 01/09/2026
We'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. #BigDataLDN
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coginiti.co @coginiti.co · 01/09/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 25/08/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 20/08/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 18/08/2026
"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. coginiti.co/blog/semanti...
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Reposted by @coginiti.co
Matthew Mullins @mmullins.coginiti.co · 17/08/2026
A career in data takes more than learning the right tools. I’m talking with Aaron Wilkerson of Carhartt next Tuesday about what actually gets you to the next level: technical skills, business impact, leadership, career choices, and what AI changes. riverside.com/webinar/regi...
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coginiti.co @coginiti.co · 13/08/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 11/08/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 04/08/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 30/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 28/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 23/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 21/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 16/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 15/07/2026
The 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.
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coginiti.co @coginiti.co · 14/07/2026
"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. coginiti.co/blog/semanti...
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coginiti.co @coginiti.co · 13/07/2026
A 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. coginiti.co/blog/semanti...
coginiti.co
Token Costs Now Rival Developer Salaries. The Fix Is Architectural. | Coginiti Blog
AI token spend is climbing past developer salaries even as per-token prices fall. The durable fix is architectural: a semantic layer that cuts the tokens you spend at the source.
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coginiti.co @coginiti.co · 10/07/2026
A 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. coginiti.co/blog/apache-...
coginiti.co
Meaning Belongs to the Commons: Why We're Excited About Apache Ossie | Coginiti Blog
The Open Semantic Interchange became Apache Ossie (incubating) in June. The spec didn't change—the governance did. For a standard whose job is to be trusted by competitors, governance is the product.
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coginiti.co @coginiti.co · 10/07/2026
the scary part is how good the wrong answer looks.
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coginiti.co @coginiti.co · 03/07/2026
Documentation was fine when humans were the consumers, but agents don't ask clarifying questions. #databs
The four stages of semantic enlightenment:


SQL pasted into every dashboard
Views with comments nobody reads
Metric definitions in a YAML file
Semantics your agents can actually execute against
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coginiti.co @coginiti.co · 29/06/2026
Coginiti 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 👇
coginiti.co
Coginiti 26.6 Release Notes | Coginiti Blog
Coginiti 26.6 puts the model directly in the data transformation pipeline. LLM Blocks, a new first-class block type in CoginitiScript, let you embed AI reasoning alongside SQL in governed, publishable...
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Reposted by @coginiti.co
Matthew Mullins @mmullins.coginiti.co · 29/06/2026
Coginiti 26.6 is out and you can now call an LLM directly inside CoginitiScript. New llm block type, sits next to your SQL. Write a prompt, declare a typed schema, get structured rows back, then query them downstream like any other table. The model's a pipeline step now, not a bolt-on.
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coginiti.co @coginiti.co · 26/06/2026
This 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.
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coginiti.co @coginiti.co · 24/06/2026
MIT 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 👇
coginiti.co
MIT Validates the Semantic Layer for AI Agents | Coginiti Blog
MIT CISR's semantic layer briefing gets the failure mode right: AI on ungoverned data fails plausibly, not loudly. But its own evidence points past representation to operationalization.
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coginiti.co @coginiti.co · 22/06/2026
"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.
coginiti.co
Semantic Layer, Semantic Layer, or Semantic Layer? | Coginiti Blog
Three different technologies share one name. If you're evaluating a "semantic layer" right now, you need to know which one you're buying.
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coginiti.co @coginiti.co · 19/06/2026
the 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.
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coginiti.co @coginiti.co · 16/06/2026
AI 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 👇
youtu.be
Rethinking the Semantic Layer- Part II: The Builders Response
YouTube video by Bauplan
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Reposted by @coginiti.co
Matthew Mullins @mmullins.coginiti.co · 12/06/2026
finance ARR ≠ sales ARR ≠ marketing ARR none of them are wrong. they're all "correct" against three different definitions. now ask an AI agent for revenue and watch it pick a fourth.
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coginiti.co @coginiti.co · 05/06/2026
Anthropic 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. 🧵
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coginiti.co @coginiti.co · 11/05/2026
The 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.
youtu.be
Closing the AI Readiness Gap, Part 2: The Semantic Layer Imperative
YouTube video by Analytics8
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coginiti.co @coginiti.co · 05/05/2026
Let's talk about the myth of data consolidation. Many semantic layer vendors sell a story that quietly assumes your data lives in one warehouse. It doesn't. Real enterprises run 3, 5, 10+ platforms. Cloud + on-prem + lake + legacy. That's not going away.
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coginiti.co @coginiti.co · 17/04/2026
Heading to Google Cloud Next in Las Vegas next week (Apr 22–24). If you're there and want to talk about governing business logic across BigQuery and multi-cloud environments — or just want to nerd out about semantic intelligence over coffee — reach out. Would love to connect in person.
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coginiti.co @coginiti.co · 17/04/2026
Valerie Kwiatkowski just joined Coginiti as Director of Partnerships. Former CIO Americas at APM Terminals (Maersk), EVP IT at SDCCU, Managing Partner at StrataFusion, and Associate Partner at IBM Global Services. She's governed data at enterprise scale. Perfect fit.
Valerie Kwiatkowski just joined Coginiti as Director of Partnerships. Former CIO Americas at APM Terminals (Maersk), EVP IT at SDCCU, Managing Partner at StrataFusion, and Associate Partner at IBM Global Services. She's governed data at enterprise scale.
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