Product 01 · The Company Brain

CortexSeed.

The skills file every AI agent
in your stack should call.

A living map of how your business actually operates. Extracted from the messy sources. Structured into a graph of decisions and exceptions. Exposed as a contract any agent can call. The prerequisite layer for every serious deployment.

See how it works
12-month productivity guarantee
/8–12 weeks to production
01
Source systemsAgents
CortexSeed
v1.0
Your AI agent
The Gap

The models got good fast.
The companies did not catch up.

Every non-AI-native business runs on tribal knowledge. How a refund gets approved. Why a pricing exception was granted last March. Which engineer gets paged when the invoicing pipeline lags. The rules are not in the wiki — they are scattered across people’s heads, archived Slack threads, ten-year-old emails, and tables nobody owns.

AI agents cannot operate against that surface. RAG over Confluence misses the nuance that lives in a 47-message Slack thread. The pattern is the same in every assessment we run: the model is fine, the deployment fails because the system does not know how the company actually works.

CortexSeed closes that gap.

What It Is

Five components,
shipped as one system.

A cortex, not a wiki. A skills file, not a chatbot. A living map, not a one-shot extraction.

01

Knowledge extraction pipeline

Connectors into Slack, email, Notion, Confluence, Drive, Zendesk, Linear, Salesforce, and your databases. Operator interviews to surface the rules that never got written down. We pull from the messy sources, not the polished ones.

02

Process and decision graph

A structured representation of how work happens — triggers, decisions, owners, exceptions, escalations. Versioned. Auditable. Human-readable.

03

Skills file for AI

A machine-executable export of the graph. Agents call it directly: “how do we handle a refund over $500 for a returning customer in California.” CortexSeed returns the rule, the owner, and the precedent.

04

Continuous sync

Hooks into live systems so CortexSeed stays current. New Slack threads, support tickets, and incident postmortems update the graph without manual maintenance.

05

Governance layer

Approval flows for rule changes. Audit log of what the brain knew and when. A named owner per domain. Compliance-ready from day one.

What It Isn’t

Adjacent products that don’t
solve this problem.

Enterprise search (Glean, Microsoft Search)

Surfaces documents, not decisions. An agent cannot act on a list of links.

RAG chatbot over docs

The doc is not the rule. The rule lives in how the doc gets applied.

A static wiki

Stale by Tuesday. Maintained by nobody. Read by fewer.

A workflow tool (Zapier, n8n)

Executes steps. Does not encode why a step exists.

A foundation model with a long context window

Context is not knowledge. Knowledge is structured, owned, and current.

How We Build It

The BUILD framework.
Eight to twelve weeks to production.

Stage 01 · Week 1

Brainstorm

Domain map. Top five decisions and processes prioritized for extraction. Named owners per domain.

Stage 02 · Week 2

Understand

Source audit across all knowledge systems. Connector inventory. Data quality and access constraints documented.

Stage 03 · Weeks 3–8

Implement

Extraction pipeline live. Decision graph populated for the prioritized domains. Skills file v1 exposed as an API.

Stage 04 · Week 9

Launch

Agents pointed at the skills file in production. Governance layer live. Owners trained.

Stage 05 · Ongoing

Deliver

Continuous sync, monthly graph review, quarterly domain expansion.

Trigger Events

When CortexSeed is the
answer you’ve been looking for.

Stalled agent deployment.

A pilot reached a demo and froze. The model is fine. The system does not know how the company actually works.

A failed RAG project.

You pointed an LLM at Confluence. The answers are confidently wrong because the doc was never the source of truth.

A new VP of AI in their first 90 days.

They need a foundation that compounds. Not another vendor demo. A real layer the rest of the stack stands on.

A board mandate to ship measurable AI productivity.

You need outcomes the CFO can read — time per decision, error rate, throughput — not slides about model accuracy.

Deliverables

What ships
per engagement.

Fixed scope. Documented contract. You own the graph and the infrastructure on day one.

The decision graph itself, in a format you own and can export.
The skills-file API, deployed to your infrastructure.
The connector suite, configured per source system.
The governance handbook — change control, audit policy, owner assignments.
A live integration with at least one of your existing AI agents or copilots.
Operator training for your named domain owners.
The Guarantee

Measurable productivity gain within twelve months — or we keep working until it lands.

Pick one workflow that depends on the skills file. We measure the productivity gain on that workflow against a pre-engagement baseline. Time per decision, error rate per decision, escalation rate, throughput per operator — you choose, agreed in writing before we Implement.

Nobody else will tie a productivity number to a knowledge product. We will, because we know what CortexSeed unlocks downstream.

Why VallySeed

Three reasons no other firm
ships this.

01

Operator credibility.

CortexSeed is built by people who have shipped agents in production and know exactly what an agent needs to act on. Not a knowledge-management product. Not a wiki you can paint over.

02

The BUILD framework as moat.

Five stages purpose-built for this work. Brainstorm, Understand, Implement, Launch, Deliver. Weekly sprints with real data. No analyst-led firm runs this cadence.

03

The guarantee.

Nobody else will tie a productivity number to a knowledge product. We will, because we know what CortexSeed unlocks downstream.

Frequently Asked

The questions buyers ask
before they sign.

Ready to build something intelligent?

Let's discuss how AI can create measurable advantage for your organization. No pitch decks — just a conversation.