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Bring us your hardest data problem
FOR LEADERS

What changes when the data work is done for you?

The same layer reads differently depending on the seat you sit in. Start where the value is obvious to you.

Bring us your hardest data problem

Pick your seat

BUSINESS LEADER

The next sale and the next risk, visible and actionable.

Cogentric Enterprise Digital Brain turns product and party intelligence into business action. It surfaces opportunities your teams could not see, such as whitespace in the accounts you already have or a likely service need before a failure, and solves known problems, such as the supplier at risk. It works across the systems you own, inside your policies.

FIRST STEP

Book a walkthrough on one business question you own.

PREDICTION
90%

Gartner predicts that by 2028, 90% of B2B buying will be AI agent intermediated.
CIO OR CTO

Compress the human work around enterprise change, without another platform.

Enterprise Digital Brain is an agentic data intelligence platform that works across the PIM, MDM, ERP, CRM, and commerce systems you already run. It does the data work that slows every program, keeps what it learns when platforms or models change, and writes back through your existing systems. Every action is governed, auditable, and inside your policies. Nothing is replaced.

FIRST STEP

A 30-minute architecture walkthrough on one program workflow, then the Migration intelligence challenge.

49%

Platform programs rarely run to plan. 49% of surveyed companies already live on their new ERP platform say costs exceeded their original budgets.
HEAD OF DATA

Move your people from touching records to governing decisions.

Enterprise Digital Brain gives product and party master data an architecture with business meaning, then monitors and improves it continuously. It matches and enriches, retains the reasoning behind every correction, and applies it to the next similar case, so human review can decline while quality holds. Governance becomes explicit, and customer and supplier data follows your privacy and consent policies.

FIRST STEP

The Data quality challenge on one dataset, with a baseline agreed up front.

82%

Master data work is still manual. 82% of large organizations surveyed spend one or more days a week resolving master data quality issues, and 66% use manual review to manage master data quality.
ECOMMERCE OR MERCHANDISING

Answer the job, not the keyword, for shoppers and agents.

Enterprise Digital Brain answers what the customer is trying to do: the whole job, the compatible part, the right substitute. It builds the attributes and relationships your site search and AI shopping and procurement agents need, one category at a time, without waiting for a platform program, and the results show up in channel metrics.

FIRST STEP

The Commerce data readiness challenge on one commercially important category; in retail, the Product findability challenge.

56%

56% of benchmarked ecommerce sites fail to adequately support users' search needs; 44% have issues with compatibility searches and 39% with feature searches.
PIM, MDM, OR PRODUCT DATA

Keep your PIM. The brain does the work around it.

Enterprise Digital Brain works around your PIM and MDM and writes back into them. It maps supplier feeds, normalizes attributes, and records fit and compatibility, and every correction your team makes becomes a reusable decision. Your team sets the thresholds and approves what matters. The backlog shrinks, and improved data becomes answers sales and ecommerce use.

FIRST STEP

The PIM and MDM data readiness challenge on one painful workflow, category, or supplier feed.

29%

Only 29% of companies surveyed have full upstream and downstream MDM integration with their source systems and business applications.
AI OR INNOVATION

Give every agent the enterprise context it is missing.

Enterprise Digital Brain gives agents and assistants the governed context they lack: product relationships, party identity, business rules, and decision history. Every answer carries provenance and confidence, low-confidence decisions escalate to a person, and the layer is model-independent, so what it learns stays when a model changes. It is not an LLM wrapper or an agent framework.

FIRST STEP

A 30-minute architecture walkthrough on one agent use case, then the Agent-ready data challenge.

72%

72% of organizations surveyed do not have trusted data of the right quality, with standardized governance practices, to support advanced AI (Accenture, May 2026).
PROCUREMENT OR SUPPLIERS

Supplier onboarding without the exception queue.

Enterprise Digital Brain takes supplier data as it arrives, infers the mappings, identifies gaps, and asks suppliers only for what it cannot determine. Conflicting values are resolved on source authority and history, not guesswork, and duplicate suppliers become one. The same layer then shows which supplier relationships carry risk and which lines a disruption would expose.

FIRST STEP

The Supplier file challenge on one raw supplier file.

42%

95% of companies surveyed see their tier-one supplier risks, but only 42% of them see into tier two or beyond.
BEFORE YOU TALK TO ANYONE

Find out where your data actually stands.

The Data Intelligence Index is a short self-assessment on the four levels. It gives your product or party data an illustrative score and shows your weakest level. Whatever your role, it gives you a starting point to take back to your own organization.

Take the Data Intelligence Index See it in action →

Questions leaders ask

Because the job of product and party data has changed: it now serves commerce, AI agents, and new channels, and each asks for more context than people can produce by hand. The understanding a brain builds compounds with every decision, so starting later means starting from zero later.

The models will keep changing. What does not change is the need for enterprise context, rules, and decision memory, and those take time to build. Building them in a layer you own makes each model change a component swap, not a restart.

The aim is to eliminate repetitive data work, not people. Stewards move from touching records to governing decisions: they set the policy, review the exceptions, and teach the brain. Their expertise is what the layer learns from.

More of the journey is self-directed and digital. 67% of B2B buyers prefer a rep-free experience (Gartner, Mar 2026). That puts the burden on product data to answer the questions a rep used to answer.

Bring us your hardest data problem.

Whatever seat you sit in, the conversation starts with your own data.

Bring us your hardest data problem