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CEREBRUM™

The AI Knowledge Engine Purpose-Built for
New Product Development

Cerebrum is Narratize's own knowledge engine, built by our experts in narrative science, technical innovation, and AI on decades of research and hands-on work inside the world's most innovative organizations. It's tuned to your domain on day one, and it gets sharper the more your teams use it.

Every Product Knowledge Hub feeds Portfolio Intelligence
The engine,
end to end
01 — Ingest

Connect every source of knowledge — systems and experts alike.

Cerebrum ingests from the tools your teams already run and the expertise that usually never gets written down. Specs, test data, PLM and ERP records, meeting notes, and the reasoning in your experts' heads all become structured, searchable knowledge.

Specifications
Datasheets, drawings, requirements
Test & validation data
Results, reports, measurements
PLM / ERP records
BOMs, revisions, part data
Meeting notes & decisions
Reviews, rationale, action items
Regulatory & compliance
Standards, submissions, audits
Expert knowledge
The tacit reasoning that usually walks out the door
02 — Organize

From documents to atomic facts — automatically structured.

Cerebrum breaks every input into atomic facts, tags them to your taxonomy, and traces each one to its source. Cerebrum maps every atomic fact to one of Narratize's five knowledge domains. Your teams stop searching whole files and start working from precise knowledge they can trust.

Cerebrum maps every atomic fact to Narratize's five knowledge domains of NPD
Knowledge Domain: People and Expertise
People & Expertise
Who knows what: expertise boundaries, relationship maps, and decision-maker patterns.
Loss risk
Knowledge Domain: Product and Technical
Product & Technical
Specifications, design decisions, manufacturing parameters, test results, and failure learnings.
Loss risk
Knowledge Domain: Market and Customer
Market & Customer
Customer needs in their own words, edge-case use cases, competitive intel, and regulatory requirements.
Loss risk
Knowledge Domain: Business and Strategic
Business & Strategic
Cost structures, financial models, pricing rationale, strategic fit, and risk parameters with their assumptions.
Loss risk
Knowledge Domain: Process and Context
Process & Context
Decision rationale, failed experiments, timeline constraints, and the why behind the what.
Loss risk
ASSESS

Evaluate your Knowledge Sufficiency on the Four C's

Cerebrum continuously scores the health of your product knowledge, to understand what's validated, what's fragile, and where a single departure could set a program back.

The old gate question
“Are the documents complete?”
The knowledge-driven gate question
“Do we know enough to justify the next investment?”
Knowledge sufficiency metric: Coverage
Coverage
Breadth of inquiry
Have we addressed the critical knowledge questions in each relevant domain?
Measures
Atomic elements required at this stage, meaningfully captured across all five domains.
Knowledge sufficiency metric: Confidence
Confidence
Validation depth
What is our validation level for each knowledge claim?
Measures
Where each claim sits: Hypothesized → Tested → Validated → Proven. Every answer gets a state, not a check.
Knowledge sufficiency metric: Currentness
Currentness
Temporal relevance
Is our knowledge still current, or has the landscape shifted?
Measures
Whether market data, regulations, and assumptions reflect today’s reality, not yesterday’s.
Knowledge sufficiency metric: Connections
Connections
Cross-domain fit
Does knowledge in one domain connect appropriately to others?
Measures
Whether technical capabilities align with market needs, and regulations flow through to specs.
DOMAIN-TUNED

Cerebrum speaks your domain on day one — and gets sharper every cycle.

Cerebrum comes tuned to your field out of the box: your industry, your science, your materials, your terminology, your engineering principles, and the kinds of products you build. It doesn't start from zero. From there it learns your specific products, decisions, and language, honing its understanding with every cycle your teams run.

Why it's different

Built by experts in narrative science, technical innovation, and AI.

Cerebrum isn't a model we bolted on. It's Narratize's own, built by our team on decades of research and hands-on work inside the world's most innovative organizations. We've spent years studying how the best NPD teams turn knowledge into market wins, and we engineered Cerebrum to do exactly that: world-leading knowledge orchestration for the world's most demanding innovators.

Narrative ScienceTechnical innovationAI Engineering
BUILD vs. BUY

The knowledge layer your NPD needs — without the years it takes to build.

Building this in-house means solving ingestion, taxonomy, ontology, domain tuning, confidence scoring, retrieval, and agent orchestration — then maintaining all of it while competitors move. General-purpose AI tools aren't built for this; they don't arrive tuned to your domain or retain what your teams learn across programs. Cerebrum is that work, already done, improving with every customer and every cycle.

Build it in-house

Years of specialized work

Ingestion pipelineCustom integration work
Taxonomy & ontologyMonths of modeling
Domain tuningDeep expertise required
Confidence scoringResearch-grade effort
Retrieval engineSpecialized engineering
Agent orchestrationSpecialized engineering
Ongoing maintenanceNever finished
Run it in Narratize

Purpose built. Improving every cycle.

Live on day one — the full knowledge layer, working immediately.
Tuned to your domain — your industry, science, and product types out of the box.
Sharper with every customer and cycle — the engine keeps improving.
Maintained by Narratize — no internal team to staff or sustain.

What innovation-driving intelligence will Cerebrum discover in your product knowledge?

Schedule a Demo →
Frequently Asked Questions

Frequently asked questions

What is Cerebrum?

Cerebrum is Narratize's proprietary knowledge orchestration engine, built by experts in narrative science, technical innovation, and AI. It powers every Product Knowledge Hub, organizing what teams add and grounding everything the platform writes, answers, and evaluates.

How does Cerebrum retrieve knowledge?

Cerebrum retrieves in parallel at multiple depths: full-depth primary sources for precision, broad background context for coverage, and direct lookups of industry, company, and user knowledge, with web and connected-system retrieval when you permit it. Narrative science then structures the result for the audience that needs it.

Is Cerebrum just a wrapper on a general AI model?

No. Cerebrum orchestrates retrieval, reasoning, and narrative structuring on top of foundation models. The differentiation lives in the orchestration, the domain tuning, and your compounding knowledge base, not in any single model.

How is Cerebrum tuned to our domain?

Cerebrum arrives tuned to your industry's terminology, standards, and document types on day one, then sharpens with every cycle as your teams add knowledge, make decisions, and ship documents through the platform.

How does Cerebrum keep outputs accurate?

Every output is grounded in your Product Knowledge Hub and traced to its sources. Reviewers see where each claim came from, so accuracy is verifiable rather than assumed.